Deck 9: Data Warehouse Implementation and Use

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Question
If applicable,the archived data from operational sources is loaded in the data warehouse during the:

A)Refresh load
B)First load
C)Final load
D)Archived data can never be loaded in the data warehouse
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Question
Data cleansing is a part of:

A)OLAP
B)Extraction
C)Transformation
D)Load
Question
OLAP/BI tools can be used for:

A)Ad-hoc direct analysis only
B)Creation of front-end (BI)applications only
C)Ad-hoc direct analysis and creation of front-end (BI)applications
D)Neither ad-hoc direct analysis nor creation of front-end (BI)applications
Question
GENERICDATA
Observe the tables GENERICDIMENSION and GENERICFACT:

GENERICDIMENSION
AABBCCDDEEFFAA1BB1CC1DD1EE1FF1AA2BB2CC1DD2EE2FF1AA3BB3CC2DD3EE1FF1AA4BB4CC2DD4EE2FF1AA5BB5CC2DD5EE3FF1\begin{array} { l l l l l l } A A & B B & C C & D D & E E & F F \\ A A 1 & B B 1 & C C 1 & D D 1 & E E 1 & F F 1 \\ A A 2 & B B 2 & C C 1 & D D 2 & E E 2 & F F 1 \\ A A 3 & B B 3 & C C 2 & D D 3 & E E 1 & F F 1 \\ A A 4 & B B 4 & C C 2 & D D 4 & E E 2 & F F 1 \\ A A 5 & B B 5 & C C 2 & D D 5 & E E 3 & F F 1 \end{array}
GENERICFACT
 AA  Number  AA1 100 AA1 100AA2200 AA2 200AA3300AA3300AA4400AA4400 AA5 100\begin{array} { l c c } \text { AA } & \ldots & \text { Number } \\ \text { AA1 } & \ldots & 100 \\ \text { AA1 } & \ldots & 100 \\ A A 2 & \ldots & 200 \\ \text { AA2 } & \ldots & 200 \\ A A 3 & \ldots & 300 \\ A A 3 & \ldots & 300 \\ A A 4 & \ldots & 400 \\ A A 4 & \ldots & 400 \\ \text { AA5 } & \ldots & 100 \end{array} Assume the following two hierarchies exist in the table GENERICDIMENSION:
AA --> BB --> CC
AA --> DD --> EE --> FF
Assume the following result table was created using the OLAP/BI Tool:

GENERICOLAPRESULT1
CC1CC2EE1200600EE2400800EE30100\begin{array} { l r l } & C C 1 & C C 2 \\E E 1 & 200 & 600 \\E E 2 & 400 & 800 \\E E 3 & 0 & 100\end{array}
This scenario will be used for the following questions citing GENERICDATA.




-The result table below is the result of a ________ action on the GENERICOLAPRESULT1 result table.
EE1E E 1
CC1200CC2600\begin{array} { l l } \mathrm { CC } 1 & 200 \\ \mathrm { CC } 2 & 600 \end{array}
EE2
CC1400CC2800\begin{array} { l l } \mathrm { CC } 1 & 400 \\ \mathrm { CC } 2 & 800 \end{array}
EE3
CC10CC2100\begin{array} { r r } C C 1 & 0 \\ C C 2 & 100 \end{array}

A)Slice and dice
B)Pivot
C)Drill-up
D)Drill-down
Question
Querying and presenting data from data warehouses and/or data marts for analytical purposes is known as:

A)ETL
B)OLAP
C)OLTP
D)Micro batches
Question
GENERICDATA
Observe the tables GENERICDIMENSION and GENERICFACT:

GENERICDIMENSION
AABBCCDDEEFFAA1BB1CC1DD1EE1FF1AA2BB2CC1DD2EE2FF1AA3BB3CC2DD3EE1FF1AA4BB4CC2DD4EE2FF1AA5BB5CC2DD5EE3FF1\begin{array} { l l l l l l } A A & B B & C C & D D & E E & F F \\ A A 1 & B B 1 & C C 1 & D D 1 & E E 1 & F F 1 \\ A A 2 & B B 2 & C C 1 & D D 2 & E E 2 & F F 1 \\ A A 3 & B B 3 & C C 2 & D D 3 & E E 1 & F F 1 \\ A A 4 & B B 4 & C C 2 & D D 4 & E E 2 & F F 1 \\ A A 5 & B B 5 & C C 2 & D D 5 & E E 3 & F F 1 \end{array}
GENERICFACT
 AA  Number  AA1 100 AA1 100AA2200 AA2 200AA3300AA3300AA4400AA4400 AA5 100\begin{array} { l c c } \text { AA } & \ldots & \text { Number } \\ \text { AA1 } & \ldots & 100 \\ \text { AA1 } & \ldots & 100 \\ A A 2 & \ldots & 200 \\ \text { AA2 } & \ldots & 200 \\ A A 3 & \ldots & 300 \\ A A 3 & \ldots & 300 \\ A A 4 & \ldots & 400 \\ A A 4 & \ldots & 400 \\ \text { AA5 } & \ldots & 100 \end{array} Assume the following two hierarchies exist in the table GENERICDIMENSION:
AA --> BB --> CC
AA --> DD --> EE --> FF
Assume the following result table was created using the OLAP/BI Tool:

GENERICOLAPRESULT1
CC1CC2EE1200600EE2400800EE30100\begin{array} { l r l } & C C 1 & C C 2 \\E E 1 & 200 & 600 \\E E 2 & 400 & 800 \\E E 3 & 0 & 100\end{array}
This scenario will be used for the following questions citing GENERICDATA.




-The result table below is the result of a ________ action on the GENERICOLAPRESULT1 result table.
CC1CC2FF16001500\begin{array} { r r r } & \mathcal { C C 1 } & \mathcal { C C } 2 \\F F 1 & 600 & 1500\end{array}

A)Slice and dice
B)Pivot
C)Drill-up
D)Drill-down
Question
OLAP tools are:

A)Write-only tools
B)Read-only tools
C)Read and write tools
D)Read,write,and delete tools
Question
Which of the following processes is typically the most time- and resource-consuming?

A)Creating the data warehouse tables using the DBMS functionalities
B)Creating the OLAP query
C)Creating the ETL infrastructure
D)Creating the data warehouse model
Question
GENERICDATA
Observe the tables GENERICDIMENSION and GENERICFACT:

GENERICDIMENSION
AABBCCDDEEFFAA1BB1CC1DD1EE1FF1AA2BB2CC1DD2EE2FF1AA3BB3CC2DD3EE1FF1AA4BB4CC2DD4EE2FF1AA5BB5CC2DD5EE3FF1\begin{array} { l l l l l l } A A & B B & C C & D D & E E & F F \\ A A 1 & B B 1 & C C 1 & D D 1 & E E 1 & F F 1 \\ A A 2 & B B 2 & C C 1 & D D 2 & E E 2 & F F 1 \\ A A 3 & B B 3 & C C 2 & D D 3 & E E 1 & F F 1 \\ A A 4 & B B 4 & C C 2 & D D 4 & E E 2 & F F 1 \\ A A 5 & B B 5 & C C 2 & D D 5 & E E 3 & F F 1 \end{array}
GENERICFACT
 AA  Number  AA1 100 AA1 100AA2200 AA2 200AA3300AA3300AA4400AA4400 AA5 100\begin{array} { l c c } \text { AA } & \ldots & \text { Number } \\ \text { AA1 } & \ldots & 100 \\ \text { AA1 } & \ldots & 100 \\ A A 2 & \ldots & 200 \\ \text { AA2 } & \ldots & 200 \\ A A 3 & \ldots & 300 \\ A A 3 & \ldots & 300 \\ A A 4 & \ldots & 400 \\ A A 4 & \ldots & 400 \\ \text { AA5 } & \ldots & 100 \end{array} Assume the following two hierarchies exist in the table GENERICDIMENSION:
AA --> BB --> CC
AA --> DD --> EE --> FF
Assume the following result table was created using the OLAP/BI Tool:

GENERICOLAPRESULT1
CC1CC2EE1200600EE2400800EE30100\begin{array} { l r l } & C C 1 & C C 2 \\E E 1 & 200 & 600 \\E E 2 & 400 & 800 \\E E 3 & 0 & 100\end{array}
This scenario will be used for the following questions citing GENERICDATA.




-The result table below is the result of a ________ action on the GENERICOLAPRESULT1 result table.
CC1CC2DD1DD2DD3DD4DD5EE1200060000EE2040008000EE30000100\begin{array} { r r r r r r } && { C C 1 } && { C C 2 } \\& D D 1 & D D 2 & D D 3 & D D 4 & D D 5 \\E E 1 & 200 & 0 & 600 & 0 & 0 \\E E 2 & 0 & 400 & 0 & 800 & 0 \\E E 3 & 0 & 0 & 0 & 0 & 100\end{array}

A)Slice and dice
B)Pivot
C)Drill-up
D)Drill-down
Question
ALSETMAX COMPANY
Observe the three different tables that exist in the ALSETMAX COMPANY and contains the information about customers.Assume all the values in all tables are correct.All three tables will be used as the source tables for the dimension CUSTOMER in the ALSETMAX COMPANY dimensionally modeled data warehouse.
ALSE TMAX CUSTOMERS
 SSN  Name  Gemder  CustBirthYear 111111111 Ned  Male 1980222222222 Nelly  Female 1990333333333 Anna  Female 1989444444444 Ned  Male 1970\begin{array} { c l l c } \text { SSN } & \text { Name } & \text { Gemder } & \text { CustBirthYear } \\ 111 - 11 - 1111 & \text { Ned } & \text { Male } & 1980 \\ 222 - 22 - 2222 & \text { Nelly } & \text { Female } & 1990 \\ 333 - 33 - 3333 & \text { Anna } & \text { Female } & 1989 \\ 444-44 - 4444 & \text { Ned } & \text { Male } & 1970 \end{array} \\
A-MAX CUSTOMER TABLE
 GSN  Nane  Sex  YearOfBirth 111111111 Ned  M 1980222222212 Nelly F1990333333333 Anna F1989555555555 Anna F1970\begin{array} { c c c c } \text { GSN } & \text { Nane } & \text { Sex } & \text { YearOfBirth } \\ 111 - 11 - 1111 & \text { Ned } & \text { M } & 1980 \\ 222 - 22 - 2212 & \text { Nelly } & F & 1990 \\ 333 - 33 - 3333 & \text { Anna } & F & 1989 \\ 555 - 55 - 5555 & \text { Anna } & F & 1970 \end{array} \\
AM CUSTOMER ZIPCODE INFO
 SSN  ZipCode 1111111116061122222212260655333333333606014444444446061155555555560655\begin{array} { c c } \text { SSN } & \text { ZipCode } \\ 111 - 11 - 1111 & 60611 \\ 222 - 22 - 2122 & 60655 \\ 333 - 33 - 3333 & 60601 \\ 444 - 44 - 4444 & 60611 \\ 555 - 55 - 5555 & 60655 \end{array}

This scenario will be used for the following questions citing ALSETMAX COMPANY.

-Based on the three source tables,how many columns will the dimension CUSTOMER in the populated star schema for ALSETMAX COMPANY have? (Assume that the dimension uses a surrogate key,but no time stamps or row indicators. )

A)6
B)7
C)8
D)10
Question
Updating,querying,and presenting data from databases for operational purposes is known as:

A)ETL
B)OLAP
C)OLTP
D)Micro batches
Question
GENERICDATA
Observe the tables GENERICDIMENSION and GENERICFACT:

GENERICDIMENSION
AABBCCDDEEFFAA1BB1CC1DD1EE1FF1AA2BB2CC1DD2EE2FF1AA3BB3CC2DD3EE1FF1AA4BB4CC2DD4EE2FF1AA5BB5CC2DD5EE3FF1\begin{array} { l l l l l l } A A & B B & C C & D D & E E & F F \\ A A 1 & B B 1 & C C 1 & D D 1 & E E 1 & F F 1 \\ A A 2 & B B 2 & C C 1 & D D 2 & E E 2 & F F 1 \\ A A 3 & B B 3 & C C 2 & D D 3 & E E 1 & F F 1 \\ A A 4 & B B 4 & C C 2 & D D 4 & E E 2 & F F 1 \\ A A 5 & B B 5 & C C 2 & D D 5 & E E 3 & F F 1 \end{array}
GENERICFACT
 AA  Number  AA1 100 AA1 100AA2200 AA2 200AA3300AA3300AA4400AA4400 AA5 100\begin{array} { l c c } \text { AA } & \ldots & \text { Number } \\ \text { AA1 } & \ldots & 100 \\ \text { AA1 } & \ldots & 100 \\ A A 2 & \ldots & 200 \\ \text { AA2 } & \ldots & 200 \\ A A 3 & \ldots & 300 \\ A A 3 & \ldots & 300 \\ A A 4 & \ldots & 400 \\ A A 4 & \ldots & 400 \\ \text { AA5 } & \ldots & 100 \end{array} Assume the following two hierarchies exist in the table GENERICDIMENSION:
AA --> BB --> CC
AA --> DD --> EE --> FF
Assume the following result table was created using the OLAP/BI Tool:

GENERICOLAPRESULT1
CC1CC2EE1200600EE2400800EE30100\begin{array} { l r l } & C C 1 & C C 2 \\E E 1 & 200 & 600 \\E E 2 & 400 & 800 \\E E 3 & 0 & 100\end{array}
This scenario will be used for the following questions citing GENERICDATA.




-The result table below is the result of a ________ action on the GENERICOLAPRESULT1 result table.
 CC1  CC2 EE1200600EE2400800\begin{array} { l l l } & \text { CC1 } & \text { CC2 } \\E E 1 & 200 & 600 \\E E 2 & 400 & 800\end{array}

A)Slice and dice
B)Pivot
C)Drill-up
D)Drill-down
Question
The set of processes that is used to populate the data warehouse tables with the appropriate relevant data retrieved from the operational databases is known as:

A)BI
B)ETL
C)OLAP
D)OLTP
Question
The ETL infrastructure is essentially predetermined by the results of the requirements collection and data warehouse modeling processes that specify:

A)The OLAP/BI tools
B)The alpha release
C)The sources and the target
D)The refresh cycle
Question
In the case of so-called active data warehouses,the loads occur in ________ that happen continuously,ensuring that the data in the data warehouse is updated close to real time (enabling analysis of the latest data).

A)Dimensional modeling actions
B)OLAP actions
C)OLTP actions
D)Micro batches
Question
GENERICDATA
Observe the tables GENERICDIMENSION and GENERICFACT:

GENERICDIMENSION
AABBCCDDEEFFAA1BB1CC1DD1EE1FF1AA2BB2CC1DD2EE2FF1AA3BB3CC2DD3EE1FF1AA4BB4CC2DD4EE2FF1AA5BB5CC2DD5EE3FF1\begin{array} { l l l l l l } A A & B B & C C & D D & E E & F F \\ A A 1 & B B 1 & C C 1 & D D 1 & E E 1 & F F 1 \\ A A 2 & B B 2 & C C 1 & D D 2 & E E 2 & F F 1 \\ A A 3 & B B 3 & C C 2 & D D 3 & E E 1 & F F 1 \\ A A 4 & B B 4 & C C 2 & D D 4 & E E 2 & F F 1 \\ A A 5 & B B 5 & C C 2 & D D 5 & E E 3 & F F 1 \end{array}
GENERICFACT
 AA  Number  AA1 100 AA1 100AA2200 AA2 200AA3300AA3300AA4400AA4400 AA5 100\begin{array} { l c c } \text { AA } & \ldots & \text { Number } \\ \text { AA1 } & \ldots & 100 \\ \text { AA1 } & \ldots & 100 \\ A A 2 & \ldots & 200 \\ \text { AA2 } & \ldots & 200 \\ A A 3 & \ldots & 300 \\ A A 3 & \ldots & 300 \\ A A 4 & \ldots & 400 \\ A A 4 & \ldots & 400 \\ \text { AA5 } & \ldots & 100 \end{array} Assume the following two hierarchies exist in the table GENERICDIMENSION:
AA --> BB --> CC
AA --> DD --> EE --> FF
Assume the following result table was created using the OLAP/BI Tool:

GENERICOLAPRESULT1
CC1CC2EE1200600EE2400800EE30100\begin{array} { l r l } & C C 1 & C C 2 \\E E 1 & 200 & 600 \\E E 2 & 400 & 800 \\E E 3 & 0 & 100\end{array}
This scenario will be used for the following questions citing GENERICDATA.




-The result table below is the result of a ________ action on the GENERICOLAPRESULT1 result table.
EE1EE2EE3CC12004000CC2600800100\begin{array} { l l l c } & E E 1 & E E 2 & E E 3 \\C C 1 & 200 & 400 & 0 \\C C 2 & 600 & 800 & 100\end{array}

A)Slice and dice
B)Pivot
C)Drill-up
D)Drill-down
Question
ALSETMAX COMPANY
Observe the three different tables that exist in the ALSETMAX COMPANY and contains the information about customers.Assume all the values in all tables are correct.All three tables will be used as the source tables for the dimension CUSTOMER in the ALSETMAX COMPANY dimensionally modeled data warehouse.
ALSE TMAX CUSTOMERS
 SSN  Name  Gemder  CustBirthYear 111111111 Ned  Male 1980222222222 Nelly  Female 1990333333333 Anna  Female 1989444444444 Ned  Male 1970\begin{array} { c l l c } \text { SSN } & \text { Name } & \text { Gemder } & \text { CustBirthYear } \\ 111 - 11 - 1111 & \text { Ned } & \text { Male } & 1980 \\ 222 - 22 - 2222 & \text { Nelly } & \text { Female } & 1990 \\ 333 - 33 - 3333 & \text { Anna } & \text { Female } & 1989 \\ 444-44 - 4444 & \text { Ned } & \text { Male } & 1970 \end{array} \\
A-MAX CUSTOMER TABLE
 GSN  Nane  Sex  YearOfBirth 111111111 Ned  M 1980222222212 Nelly F1990333333333 Anna F1989555555555 Anna F1970\begin{array} { c c c c } \text { GSN } & \text { Nane } & \text { Sex } & \text { YearOfBirth } \\ 111 - 11 - 1111 & \text { Ned } & \text { M } & 1980 \\ 222 - 22 - 2212 & \text { Nelly } & F & 1990 \\ 333 - 33 - 3333 & \text { Anna } & F & 1989 \\ 555 - 55 - 5555 & \text { Anna } & F & 1970 \end{array} \\
AM CUSTOMER ZIPCODE INFO
 SSN  ZipCode 1111111116061122222212260655333333333606014444444446061155555555560655\begin{array} { c c } \text { SSN } & \text { ZipCode } \\ 111 - 11 - 1111 & 60611 \\ 222 - 22 - 2122 & 60655 \\ 333 - 33 - 3333 & 60601 \\ 444 - 44 - 4444 & 60611 \\ 555 - 55 - 5555 & 60655 \end{array}

This scenario will be used for the following questions citing ALSETMAX COMPANY.

-Based on the data in the three source tables,how many records in the dimension CUSTOMER in the populated star schema for ALSETMAX COMPANY represent a female customer?

A)2
B)3
C)4
D)5
Question
Which of the following is NOT true? Front-end (BI)applications are used to retrieve the data from:

A)Dependent data marts
B)ETL infrastructure
C)Independent data marts
D)Data warehouse
Question
ALSETMAX COMPANY
Observe the three different tables that exist in the ALSETMAX COMPANY and contains the information about customers.Assume all the values in all tables are correct.All three tables will be used as the source tables for the dimension CUSTOMER in the ALSETMAX COMPANY dimensionally modeled data warehouse.
ALSE TMAX CUSTOMERS
 SSN  Name  Gemder  CustBirthYear 111111111 Ned  Male 1980222222222 Nelly  Female 1990333333333 Anna  Female 1989444444444 Ned  Male 1970\begin{array} { c l l c } \text { SSN } & \text { Name } & \text { Gemder } & \text { CustBirthYear } \\ 111 - 11 - 1111 & \text { Ned } & \text { Male } & 1980 \\ 222 - 22 - 2222 & \text { Nelly } & \text { Female } & 1990 \\ 333 - 33 - 3333 & \text { Anna } & \text { Female } & 1989 \\ 444-44 - 4444 & \text { Ned } & \text { Male } & 1970 \end{array} \\
A-MAX CUSTOMER TABLE
 GSN  Nane  Sex  YearOfBirth 111111111 Ned  M 1980222222212 Nelly F1990333333333 Anna F1989555555555 Anna F1970\begin{array} { c c c c } \text { GSN } & \text { Nane } & \text { Sex } & \text { YearOfBirth } \\ 111 - 11 - 1111 & \text { Ned } & \text { M } & 1980 \\ 222 - 22 - 2212 & \text { Nelly } & F & 1990 \\ 333 - 33 - 3333 & \text { Anna } & F & 1989 \\ 555 - 55 - 5555 & \text { Anna } & F & 1970 \end{array} \\
AM CUSTOMER ZIPCODE INFO
 SSN  ZipCode 1111111116061122222212260655333333333606014444444446061155555555560655\begin{array} { c c } \text { SSN } & \text { ZipCode } \\ 111 - 11 - 1111 & 60611 \\ 222 - 22 - 2122 & 60655 \\ 333 - 33 - 3333 & 60601 \\ 444 - 44 - 4444 & 60611 \\ 555 - 55 - 5555 & 60655 \end{array}

This scenario will be used for the following questions citing ALSETMAX COMPANY.

-Based on the data in the three source tables,how many records in the dimension CUSTOMER in the populated star schema for ALSETMAX COMPANY represent a customer named Ned?

A)1
B)2
C)3
D)4
Question
ALSETMAX COMPANY
Observe the three different tables that exist in the ALSETMAX COMPANY and contains the information about customers.Assume all the values in all tables are correct.All three tables will be used as the source tables for the dimension CUSTOMER in the ALSETMAX COMPANY dimensionally modeled data warehouse.
ALSE TMAX CUSTOMERS
 SSN  Name  Gemder  CustBirthYear 111111111 Ned  Male 1980222222222 Nelly  Female 1990333333333 Anna  Female 1989444444444 Ned  Male 1970\begin{array} { c l l c } \text { SSN } & \text { Name } & \text { Gemder } & \text { CustBirthYear } \\ 111 - 11 - 1111 & \text { Ned } & \text { Male } & 1980 \\ 222 - 22 - 2222 & \text { Nelly } & \text { Female } & 1990 \\ 333 - 33 - 3333 & \text { Anna } & \text { Female } & 1989 \\ 444-44 - 4444 & \text { Ned } & \text { Male } & 1970 \end{array} \\
A-MAX CUSTOMER TABLE
 GSN  Nane  Sex  YearOfBirth 111111111 Ned  M 1980222222212 Nelly F1990333333333 Anna F1989555555555 Anna F1970\begin{array} { c c c c } \text { GSN } & \text { Nane } & \text { Sex } & \text { YearOfBirth } \\ 111 - 11 - 1111 & \text { Ned } & \text { M } & 1980 \\ 222 - 22 - 2212 & \text { Nelly } & F & 1990 \\ 333 - 33 - 3333 & \text { Anna } & F & 1989 \\ 555 - 55 - 5555 & \text { Anna } & F & 1970 \end{array} \\
AM CUSTOMER ZIPCODE INFO
 SSN  ZipCode 1111111116061122222212260655333333333606014444444446061155555555560655\begin{array} { c c } \text { SSN } & \text { ZipCode } \\ 111 - 11 - 1111 & 60611 \\ 222 - 22 - 2122 & 60655 \\ 333 - 33 - 3333 & 60601 \\ 444 - 44 - 4444 & 60611 \\ 555 - 55 - 5555 & 60655 \end{array}

This scenario will be used for the following questions citing ALSETMAX COMPANY.

-Based on the data in the three source tables,how many records will the dimension CUSTOMER in the populated star schema for ALSETMAX COMPANY have?

A)4
B)5
C)8
D)13
Question
GENERIC RETAILER
Observe the ER diagram for the Generic Retailer:
GENERIC RETAILER Observe the ER diagram for the Generic Retailer:   Assume that the dimension PRODUCT containing the following columns: ProductKey (surrogate key) ProductID ProductDescription ProductBrandID ProductBrandName ProductCategoryID ProductCategoryName is created for the Generic Retailer.This dimension will be used for the following questions citing Generic Retailer PRODUCT dimension. A user using an OLAP query (based on the dimensionally modeled data set that contains the ABC Retailer dimension PRODUCT)can drill up from ProductID to ProductCategoryID.<div style=padding-top: 35px> Assume that the dimension PRODUCT containing the following columns:
ProductKey (surrogate key)
ProductID
ProductDescription
ProductBrandID
ProductBrandName
ProductCategoryID
ProductCategoryName
is created for the Generic Retailer.This dimension will be used for the following questions citing Generic Retailer PRODUCT dimension.
A user using an OLAP query (based on the dimensionally modeled data set that contains the ABC Retailer dimension PRODUCT)can drill up from ProductID to ProductCategoryID.
Question
OLAP/BI tools are designed for the analysis of dimensionally modeled data.
Question
The process of deciding what to extract during the extraction process begins after the requirements and modeling stages are completed.
Question
What is a first load?
Question
GENERIC RETAILER
Observe the ER diagram for the Generic Retailer:
GENERIC RETAILER Observe the ER diagram for the Generic Retailer:   Assume that the dimension PRODUCT containing the following columns: ProductKey (surrogate key) ProductID ProductDescription ProductBrandID ProductBrandName ProductCategoryID ProductCategoryName is created for the Generic Retailer.This dimension will be used for the following questions citing Generic Retailer PRODUCT dimension. A user using an OLAP query (based on the dimensionally modeled data set that contains the Generic Retailer dimension PRODUCT)can drill up from ProductBrandID to ProductCategoryID.<div style=padding-top: 35px> Assume that the dimension PRODUCT containing the following columns:
ProductKey (surrogate key)
ProductID
ProductDescription
ProductBrandID
ProductBrandName
ProductCategoryID
ProductCategoryName
is created for the Generic Retailer.This dimension will be used for the following questions citing Generic Retailer PRODUCT dimension.
A user using an OLAP query (based on the dimensionally modeled data set that contains the Generic Retailer dimension PRODUCT)can drill up from ProductBrandID to ProductCategoryID.
Question
Developing front-end applications includes creating a set of predeveloped queries and interfaces to those queries.
Question
The word online in the term OLAP refers to the use of the Internet or other networks.
Question
The data in fact tables is always located faster in relational implementations than in the multidimensional implementations.
Question
The purpose of the drill up operation is to make the granularity of the data in the query result coarser.
Question
What takes place during the transformation part of ETL?
Question
Creating a data warehouse involves using the functionalities of database management software to implement the data warehouse model as a collection of physically created and mutually connected database tables.
Question
The multidimensional database cube always has three dimensions.
Question
GENERIC RETAILER
Observe the ER diagram for the Generic Retailer:
GENERIC RETAILER Observe the ER diagram for the Generic Retailer:   Assume that the dimension PRODUCT containing the following columns: ProductKey (surrogate key) ProductID ProductDescription ProductBrandID ProductBrandName ProductCategoryID ProductCategoryName is created for the Generic Retailer.This dimension will be used for the following questions citing Generic Retailer PRODUCT dimension. A user using an OLAP query (based on the dimensionally modeled data set that contains the Generic Retailer dimension PRODUCT)can drill down from ProductBrandID to ProductID.<div style=padding-top: 35px> Assume that the dimension PRODUCT containing the following columns:
ProductKey (surrogate key)
ProductID
ProductDescription
ProductBrandID
ProductBrandName
ProductCategoryID
ProductCategoryName
is created for the Generic Retailer.This dimension will be used for the following questions citing Generic Retailer PRODUCT dimension.
A user using an OLAP query (based on the dimensionally modeled data set that contains the Generic Retailer dimension PRODUCT)can drill down from ProductBrandID to ProductID.
Question
Archived data from source systems is never present in the data warehouse.
Question
The process of transformation cannot involve standardizing different versions of the same data present in different data sources.
Question
The purpose of the drill down operation is to make the granularity of the data in the query result finer.
Question
What takes place during the load part of ETL?
Question
What takes place during the extraction part of ETL?
Question
GENERIC RETAILER
Observe the ER diagram for the Generic Retailer:
GENERIC RETAILER Observe the ER diagram for the Generic Retailer:   Assume that the dimension PRODUCT containing the following columns: ProductKey (surrogate key) ProductID ProductDescription ProductBrandID ProductBrandName ProductCategoryID ProductCategoryName is created for the Generic Retailer.This dimension will be used for the following questions citing Generic Retailer PRODUCT dimension. A user using an OLAP query (based on the dimensionally modeled data set that contains the Generic Retailer dimension PRODUCT)can drill down from ProductBrandID to ProductCategoryID.<div style=padding-top: 35px> Assume that the dimension PRODUCT containing the following columns:
ProductKey (surrogate key)
ProductID
ProductDescription
ProductBrandID
ProductBrandName
ProductCategoryID
ProductCategoryName
is created for the Generic Retailer.This dimension will be used for the following questions citing Generic Retailer PRODUCT dimension.
A user using an OLAP query (based on the dimensionally modeled data set that contains the Generic Retailer dimension PRODUCT)can drill down from ProductBrandID to ProductCategoryID.
Question
What is a refresh load?
Question
Illustrate a typical HOLAP architecture.
Question
What is a data warehouse beta release?
Question
What is a data warehouse production release?
Question
What is a data warehouse alpha release?
Question
What is an executive dashboard?
Question
What enables direct lookup of values in the fact table in a multidimensional cube?
Question
What is the multidimensional database model?
Question
Illustrate a typical ROLAP architecture.
Question
Illustrate a typical MOLAP architecture.
Question
What is a refresh cycle?
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Deck 9: Data Warehouse Implementation and Use
1
If applicable,the archived data from operational sources is loaded in the data warehouse during the:

A)Refresh load
B)First load
C)Final load
D)Archived data can never be loaded in the data warehouse
B
2
Data cleansing is a part of:

A)OLAP
B)Extraction
C)Transformation
D)Load
C
3
OLAP/BI tools can be used for:

A)Ad-hoc direct analysis only
B)Creation of front-end (BI)applications only
C)Ad-hoc direct analysis and creation of front-end (BI)applications
D)Neither ad-hoc direct analysis nor creation of front-end (BI)applications
C
4
GENERICDATA
Observe the tables GENERICDIMENSION and GENERICFACT:

GENERICDIMENSION
AABBCCDDEEFFAA1BB1CC1DD1EE1FF1AA2BB2CC1DD2EE2FF1AA3BB3CC2DD3EE1FF1AA4BB4CC2DD4EE2FF1AA5BB5CC2DD5EE3FF1\begin{array} { l l l l l l } A A & B B & C C & D D & E E & F F \\ A A 1 & B B 1 & C C 1 & D D 1 & E E 1 & F F 1 \\ A A 2 & B B 2 & C C 1 & D D 2 & E E 2 & F F 1 \\ A A 3 & B B 3 & C C 2 & D D 3 & E E 1 & F F 1 \\ A A 4 & B B 4 & C C 2 & D D 4 & E E 2 & F F 1 \\ A A 5 & B B 5 & C C 2 & D D 5 & E E 3 & F F 1 \end{array}
GENERICFACT
 AA  Number  AA1 100 AA1 100AA2200 AA2 200AA3300AA3300AA4400AA4400 AA5 100\begin{array} { l c c } \text { AA } & \ldots & \text { Number } \\ \text { AA1 } & \ldots & 100 \\ \text { AA1 } & \ldots & 100 \\ A A 2 & \ldots & 200 \\ \text { AA2 } & \ldots & 200 \\ A A 3 & \ldots & 300 \\ A A 3 & \ldots & 300 \\ A A 4 & \ldots & 400 \\ A A 4 & \ldots & 400 \\ \text { AA5 } & \ldots & 100 \end{array} Assume the following two hierarchies exist in the table GENERICDIMENSION:
AA --> BB --> CC
AA --> DD --> EE --> FF
Assume the following result table was created using the OLAP/BI Tool:

GENERICOLAPRESULT1
CC1CC2EE1200600EE2400800EE30100\begin{array} { l r l } & C C 1 & C C 2 \\E E 1 & 200 & 600 \\E E 2 & 400 & 800 \\E E 3 & 0 & 100\end{array}
This scenario will be used for the following questions citing GENERICDATA.




-The result table below is the result of a ________ action on the GENERICOLAPRESULT1 result table.
EE1E E 1
CC1200CC2600\begin{array} { l l } \mathrm { CC } 1 & 200 \\ \mathrm { CC } 2 & 600 \end{array}
EE2
CC1400CC2800\begin{array} { l l } \mathrm { CC } 1 & 400 \\ \mathrm { CC } 2 & 800 \end{array}
EE3
CC10CC2100\begin{array} { r r } C C 1 & 0 \\ C C 2 & 100 \end{array}

A)Slice and dice
B)Pivot
C)Drill-up
D)Drill-down
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5
Querying and presenting data from data warehouses and/or data marts for analytical purposes is known as:

A)ETL
B)OLAP
C)OLTP
D)Micro batches
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6
GENERICDATA
Observe the tables GENERICDIMENSION and GENERICFACT:

GENERICDIMENSION
AABBCCDDEEFFAA1BB1CC1DD1EE1FF1AA2BB2CC1DD2EE2FF1AA3BB3CC2DD3EE1FF1AA4BB4CC2DD4EE2FF1AA5BB5CC2DD5EE3FF1\begin{array} { l l l l l l } A A & B B & C C & D D & E E & F F \\ A A 1 & B B 1 & C C 1 & D D 1 & E E 1 & F F 1 \\ A A 2 & B B 2 & C C 1 & D D 2 & E E 2 & F F 1 \\ A A 3 & B B 3 & C C 2 & D D 3 & E E 1 & F F 1 \\ A A 4 & B B 4 & C C 2 & D D 4 & E E 2 & F F 1 \\ A A 5 & B B 5 & C C 2 & D D 5 & E E 3 & F F 1 \end{array}
GENERICFACT
 AA  Number  AA1 100 AA1 100AA2200 AA2 200AA3300AA3300AA4400AA4400 AA5 100\begin{array} { l c c } \text { AA } & \ldots & \text { Number } \\ \text { AA1 } & \ldots & 100 \\ \text { AA1 } & \ldots & 100 \\ A A 2 & \ldots & 200 \\ \text { AA2 } & \ldots & 200 \\ A A 3 & \ldots & 300 \\ A A 3 & \ldots & 300 \\ A A 4 & \ldots & 400 \\ A A 4 & \ldots & 400 \\ \text { AA5 } & \ldots & 100 \end{array} Assume the following two hierarchies exist in the table GENERICDIMENSION:
AA --> BB --> CC
AA --> DD --> EE --> FF
Assume the following result table was created using the OLAP/BI Tool:

GENERICOLAPRESULT1
CC1CC2EE1200600EE2400800EE30100\begin{array} { l r l } & C C 1 & C C 2 \\E E 1 & 200 & 600 \\E E 2 & 400 & 800 \\E E 3 & 0 & 100\end{array}
This scenario will be used for the following questions citing GENERICDATA.




-The result table below is the result of a ________ action on the GENERICOLAPRESULT1 result table.
CC1CC2FF16001500\begin{array} { r r r } & \mathcal { C C 1 } & \mathcal { C C } 2 \\F F 1 & 600 & 1500\end{array}

A)Slice and dice
B)Pivot
C)Drill-up
D)Drill-down
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7
OLAP tools are:

A)Write-only tools
B)Read-only tools
C)Read and write tools
D)Read,write,and delete tools
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8
Which of the following processes is typically the most time- and resource-consuming?

A)Creating the data warehouse tables using the DBMS functionalities
B)Creating the OLAP query
C)Creating the ETL infrastructure
D)Creating the data warehouse model
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9
GENERICDATA
Observe the tables GENERICDIMENSION and GENERICFACT:

GENERICDIMENSION
AABBCCDDEEFFAA1BB1CC1DD1EE1FF1AA2BB2CC1DD2EE2FF1AA3BB3CC2DD3EE1FF1AA4BB4CC2DD4EE2FF1AA5BB5CC2DD5EE3FF1\begin{array} { l l l l l l } A A & B B & C C & D D & E E & F F \\ A A 1 & B B 1 & C C 1 & D D 1 & E E 1 & F F 1 \\ A A 2 & B B 2 & C C 1 & D D 2 & E E 2 & F F 1 \\ A A 3 & B B 3 & C C 2 & D D 3 & E E 1 & F F 1 \\ A A 4 & B B 4 & C C 2 & D D 4 & E E 2 & F F 1 \\ A A 5 & B B 5 & C C 2 & D D 5 & E E 3 & F F 1 \end{array}
GENERICFACT
 AA  Number  AA1 100 AA1 100AA2200 AA2 200AA3300AA3300AA4400AA4400 AA5 100\begin{array} { l c c } \text { AA } & \ldots & \text { Number } \\ \text { AA1 } & \ldots & 100 \\ \text { AA1 } & \ldots & 100 \\ A A 2 & \ldots & 200 \\ \text { AA2 } & \ldots & 200 \\ A A 3 & \ldots & 300 \\ A A 3 & \ldots & 300 \\ A A 4 & \ldots & 400 \\ A A 4 & \ldots & 400 \\ \text { AA5 } & \ldots & 100 \end{array} Assume the following two hierarchies exist in the table GENERICDIMENSION:
AA --> BB --> CC
AA --> DD --> EE --> FF
Assume the following result table was created using the OLAP/BI Tool:

GENERICOLAPRESULT1
CC1CC2EE1200600EE2400800EE30100\begin{array} { l r l } & C C 1 & C C 2 \\E E 1 & 200 & 600 \\E E 2 & 400 & 800 \\E E 3 & 0 & 100\end{array}
This scenario will be used for the following questions citing GENERICDATA.




-The result table below is the result of a ________ action on the GENERICOLAPRESULT1 result table.
CC1CC2DD1DD2DD3DD4DD5EE1200060000EE2040008000EE30000100\begin{array} { r r r r r r } && { C C 1 } && { C C 2 } \\& D D 1 & D D 2 & D D 3 & D D 4 & D D 5 \\E E 1 & 200 & 0 & 600 & 0 & 0 \\E E 2 & 0 & 400 & 0 & 800 & 0 \\E E 3 & 0 & 0 & 0 & 0 & 100\end{array}

A)Slice and dice
B)Pivot
C)Drill-up
D)Drill-down
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10
ALSETMAX COMPANY
Observe the three different tables that exist in the ALSETMAX COMPANY and contains the information about customers.Assume all the values in all tables are correct.All three tables will be used as the source tables for the dimension CUSTOMER in the ALSETMAX COMPANY dimensionally modeled data warehouse.
ALSE TMAX CUSTOMERS
 SSN  Name  Gemder  CustBirthYear 111111111 Ned  Male 1980222222222 Nelly  Female 1990333333333 Anna  Female 1989444444444 Ned  Male 1970\begin{array} { c l l c } \text { SSN } & \text { Name } & \text { Gemder } & \text { CustBirthYear } \\ 111 - 11 - 1111 & \text { Ned } & \text { Male } & 1980 \\ 222 - 22 - 2222 & \text { Nelly } & \text { Female } & 1990 \\ 333 - 33 - 3333 & \text { Anna } & \text { Female } & 1989 \\ 444-44 - 4444 & \text { Ned } & \text { Male } & 1970 \end{array} \\
A-MAX CUSTOMER TABLE
 GSN  Nane  Sex  YearOfBirth 111111111 Ned  M 1980222222212 Nelly F1990333333333 Anna F1989555555555 Anna F1970\begin{array} { c c c c } \text { GSN } & \text { Nane } & \text { Sex } & \text { YearOfBirth } \\ 111 - 11 - 1111 & \text { Ned } & \text { M } & 1980 \\ 222 - 22 - 2212 & \text { Nelly } & F & 1990 \\ 333 - 33 - 3333 & \text { Anna } & F & 1989 \\ 555 - 55 - 5555 & \text { Anna } & F & 1970 \end{array} \\
AM CUSTOMER ZIPCODE INFO
 SSN  ZipCode 1111111116061122222212260655333333333606014444444446061155555555560655\begin{array} { c c } \text { SSN } & \text { ZipCode } \\ 111 - 11 - 1111 & 60611 \\ 222 - 22 - 2122 & 60655 \\ 333 - 33 - 3333 & 60601 \\ 444 - 44 - 4444 & 60611 \\ 555 - 55 - 5555 & 60655 \end{array}

This scenario will be used for the following questions citing ALSETMAX COMPANY.

-Based on the three source tables,how many columns will the dimension CUSTOMER in the populated star schema for ALSETMAX COMPANY have? (Assume that the dimension uses a surrogate key,but no time stamps or row indicators. )

A)6
B)7
C)8
D)10
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11
Updating,querying,and presenting data from databases for operational purposes is known as:

A)ETL
B)OLAP
C)OLTP
D)Micro batches
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12
GENERICDATA
Observe the tables GENERICDIMENSION and GENERICFACT:

GENERICDIMENSION
AABBCCDDEEFFAA1BB1CC1DD1EE1FF1AA2BB2CC1DD2EE2FF1AA3BB3CC2DD3EE1FF1AA4BB4CC2DD4EE2FF1AA5BB5CC2DD5EE3FF1\begin{array} { l l l l l l } A A & B B & C C & D D & E E & F F \\ A A 1 & B B 1 & C C 1 & D D 1 & E E 1 & F F 1 \\ A A 2 & B B 2 & C C 1 & D D 2 & E E 2 & F F 1 \\ A A 3 & B B 3 & C C 2 & D D 3 & E E 1 & F F 1 \\ A A 4 & B B 4 & C C 2 & D D 4 & E E 2 & F F 1 \\ A A 5 & B B 5 & C C 2 & D D 5 & E E 3 & F F 1 \end{array}
GENERICFACT
 AA  Number  AA1 100 AA1 100AA2200 AA2 200AA3300AA3300AA4400AA4400 AA5 100\begin{array} { l c c } \text { AA } & \ldots & \text { Number } \\ \text { AA1 } & \ldots & 100 \\ \text { AA1 } & \ldots & 100 \\ A A 2 & \ldots & 200 \\ \text { AA2 } & \ldots & 200 \\ A A 3 & \ldots & 300 \\ A A 3 & \ldots & 300 \\ A A 4 & \ldots & 400 \\ A A 4 & \ldots & 400 \\ \text { AA5 } & \ldots & 100 \end{array} Assume the following two hierarchies exist in the table GENERICDIMENSION:
AA --> BB --> CC
AA --> DD --> EE --> FF
Assume the following result table was created using the OLAP/BI Tool:

GENERICOLAPRESULT1
CC1CC2EE1200600EE2400800EE30100\begin{array} { l r l } & C C 1 & C C 2 \\E E 1 & 200 & 600 \\E E 2 & 400 & 800 \\E E 3 & 0 & 100\end{array}
This scenario will be used for the following questions citing GENERICDATA.




-The result table below is the result of a ________ action on the GENERICOLAPRESULT1 result table.
 CC1  CC2 EE1200600EE2400800\begin{array} { l l l } & \text { CC1 } & \text { CC2 } \\E E 1 & 200 & 600 \\E E 2 & 400 & 800\end{array}

A)Slice and dice
B)Pivot
C)Drill-up
D)Drill-down
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13
The set of processes that is used to populate the data warehouse tables with the appropriate relevant data retrieved from the operational databases is known as:

A)BI
B)ETL
C)OLAP
D)OLTP
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14
The ETL infrastructure is essentially predetermined by the results of the requirements collection and data warehouse modeling processes that specify:

A)The OLAP/BI tools
B)The alpha release
C)The sources and the target
D)The refresh cycle
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15
In the case of so-called active data warehouses,the loads occur in ________ that happen continuously,ensuring that the data in the data warehouse is updated close to real time (enabling analysis of the latest data).

A)Dimensional modeling actions
B)OLAP actions
C)OLTP actions
D)Micro batches
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16
GENERICDATA
Observe the tables GENERICDIMENSION and GENERICFACT:

GENERICDIMENSION
AABBCCDDEEFFAA1BB1CC1DD1EE1FF1AA2BB2CC1DD2EE2FF1AA3BB3CC2DD3EE1FF1AA4BB4CC2DD4EE2FF1AA5BB5CC2DD5EE3FF1\begin{array} { l l l l l l } A A & B B & C C & D D & E E & F F \\ A A 1 & B B 1 & C C 1 & D D 1 & E E 1 & F F 1 \\ A A 2 & B B 2 & C C 1 & D D 2 & E E 2 & F F 1 \\ A A 3 & B B 3 & C C 2 & D D 3 & E E 1 & F F 1 \\ A A 4 & B B 4 & C C 2 & D D 4 & E E 2 & F F 1 \\ A A 5 & B B 5 & C C 2 & D D 5 & E E 3 & F F 1 \end{array}
GENERICFACT
 AA  Number  AA1 100 AA1 100AA2200 AA2 200AA3300AA3300AA4400AA4400 AA5 100\begin{array} { l c c } \text { AA } & \ldots & \text { Number } \\ \text { AA1 } & \ldots & 100 \\ \text { AA1 } & \ldots & 100 \\ A A 2 & \ldots & 200 \\ \text { AA2 } & \ldots & 200 \\ A A 3 & \ldots & 300 \\ A A 3 & \ldots & 300 \\ A A 4 & \ldots & 400 \\ A A 4 & \ldots & 400 \\ \text { AA5 } & \ldots & 100 \end{array} Assume the following two hierarchies exist in the table GENERICDIMENSION:
AA --> BB --> CC
AA --> DD --> EE --> FF
Assume the following result table was created using the OLAP/BI Tool:

GENERICOLAPRESULT1
CC1CC2EE1200600EE2400800EE30100\begin{array} { l r l } & C C 1 & C C 2 \\E E 1 & 200 & 600 \\E E 2 & 400 & 800 \\E E 3 & 0 & 100\end{array}
This scenario will be used for the following questions citing GENERICDATA.




-The result table below is the result of a ________ action on the GENERICOLAPRESULT1 result table.
EE1EE2EE3CC12004000CC2600800100\begin{array} { l l l c } & E E 1 & E E 2 & E E 3 \\C C 1 & 200 & 400 & 0 \\C C 2 & 600 & 800 & 100\end{array}

A)Slice and dice
B)Pivot
C)Drill-up
D)Drill-down
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17
ALSETMAX COMPANY
Observe the three different tables that exist in the ALSETMAX COMPANY and contains the information about customers.Assume all the values in all tables are correct.All three tables will be used as the source tables for the dimension CUSTOMER in the ALSETMAX COMPANY dimensionally modeled data warehouse.
ALSE TMAX CUSTOMERS
 SSN  Name  Gemder  CustBirthYear 111111111 Ned  Male 1980222222222 Nelly  Female 1990333333333 Anna  Female 1989444444444 Ned  Male 1970\begin{array} { c l l c } \text { SSN } & \text { Name } & \text { Gemder } & \text { CustBirthYear } \\ 111 - 11 - 1111 & \text { Ned } & \text { Male } & 1980 \\ 222 - 22 - 2222 & \text { Nelly } & \text { Female } & 1990 \\ 333 - 33 - 3333 & \text { Anna } & \text { Female } & 1989 \\ 444-44 - 4444 & \text { Ned } & \text { Male } & 1970 \end{array} \\
A-MAX CUSTOMER TABLE
 GSN  Nane  Sex  YearOfBirth 111111111 Ned  M 1980222222212 Nelly F1990333333333 Anna F1989555555555 Anna F1970\begin{array} { c c c c } \text { GSN } & \text { Nane } & \text { Sex } & \text { YearOfBirth } \\ 111 - 11 - 1111 & \text { Ned } & \text { M } & 1980 \\ 222 - 22 - 2212 & \text { Nelly } & F & 1990 \\ 333 - 33 - 3333 & \text { Anna } & F & 1989 \\ 555 - 55 - 5555 & \text { Anna } & F & 1970 \end{array} \\
AM CUSTOMER ZIPCODE INFO
 SSN  ZipCode 1111111116061122222212260655333333333606014444444446061155555555560655\begin{array} { c c } \text { SSN } & \text { ZipCode } \\ 111 - 11 - 1111 & 60611 \\ 222 - 22 - 2122 & 60655 \\ 333 - 33 - 3333 & 60601 \\ 444 - 44 - 4444 & 60611 \\ 555 - 55 - 5555 & 60655 \end{array}

This scenario will be used for the following questions citing ALSETMAX COMPANY.

-Based on the data in the three source tables,how many records in the dimension CUSTOMER in the populated star schema for ALSETMAX COMPANY represent a female customer?

A)2
B)3
C)4
D)5
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18
Which of the following is NOT true? Front-end (BI)applications are used to retrieve the data from:

A)Dependent data marts
B)ETL infrastructure
C)Independent data marts
D)Data warehouse
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19
ALSETMAX COMPANY
Observe the three different tables that exist in the ALSETMAX COMPANY and contains the information about customers.Assume all the values in all tables are correct.All three tables will be used as the source tables for the dimension CUSTOMER in the ALSETMAX COMPANY dimensionally modeled data warehouse.
ALSE TMAX CUSTOMERS
 SSN  Name  Gemder  CustBirthYear 111111111 Ned  Male 1980222222222 Nelly  Female 1990333333333 Anna  Female 1989444444444 Ned  Male 1970\begin{array} { c l l c } \text { SSN } & \text { Name } & \text { Gemder } & \text { CustBirthYear } \\ 111 - 11 - 1111 & \text { Ned } & \text { Male } & 1980 \\ 222 - 22 - 2222 & \text { Nelly } & \text { Female } & 1990 \\ 333 - 33 - 3333 & \text { Anna } & \text { Female } & 1989 \\ 444-44 - 4444 & \text { Ned } & \text { Male } & 1970 \end{array} \\
A-MAX CUSTOMER TABLE
 GSN  Nane  Sex  YearOfBirth 111111111 Ned  M 1980222222212 Nelly F1990333333333 Anna F1989555555555 Anna F1970\begin{array} { c c c c } \text { GSN } & \text { Nane } & \text { Sex } & \text { YearOfBirth } \\ 111 - 11 - 1111 & \text { Ned } & \text { M } & 1980 \\ 222 - 22 - 2212 & \text { Nelly } & F & 1990 \\ 333 - 33 - 3333 & \text { Anna } & F & 1989 \\ 555 - 55 - 5555 & \text { Anna } & F & 1970 \end{array} \\
AM CUSTOMER ZIPCODE INFO
 SSN  ZipCode 1111111116061122222212260655333333333606014444444446061155555555560655\begin{array} { c c } \text { SSN } & \text { ZipCode } \\ 111 - 11 - 1111 & 60611 \\ 222 - 22 - 2122 & 60655 \\ 333 - 33 - 3333 & 60601 \\ 444 - 44 - 4444 & 60611 \\ 555 - 55 - 5555 & 60655 \end{array}

This scenario will be used for the following questions citing ALSETMAX COMPANY.

-Based on the data in the three source tables,how many records in the dimension CUSTOMER in the populated star schema for ALSETMAX COMPANY represent a customer named Ned?

A)1
B)2
C)3
D)4
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20
ALSETMAX COMPANY
Observe the three different tables that exist in the ALSETMAX COMPANY and contains the information about customers.Assume all the values in all tables are correct.All three tables will be used as the source tables for the dimension CUSTOMER in the ALSETMAX COMPANY dimensionally modeled data warehouse.
ALSE TMAX CUSTOMERS
 SSN  Name  Gemder  CustBirthYear 111111111 Ned  Male 1980222222222 Nelly  Female 1990333333333 Anna  Female 1989444444444 Ned  Male 1970\begin{array} { c l l c } \text { SSN } & \text { Name } & \text { Gemder } & \text { CustBirthYear } \\ 111 - 11 - 1111 & \text { Ned } & \text { Male } & 1980 \\ 222 - 22 - 2222 & \text { Nelly } & \text { Female } & 1990 \\ 333 - 33 - 3333 & \text { Anna } & \text { Female } & 1989 \\ 444-44 - 4444 & \text { Ned } & \text { Male } & 1970 \end{array} \\
A-MAX CUSTOMER TABLE
 GSN  Nane  Sex  YearOfBirth 111111111 Ned  M 1980222222212 Nelly F1990333333333 Anna F1989555555555 Anna F1970\begin{array} { c c c c } \text { GSN } & \text { Nane } & \text { Sex } & \text { YearOfBirth } \\ 111 - 11 - 1111 & \text { Ned } & \text { M } & 1980 \\ 222 - 22 - 2212 & \text { Nelly } & F & 1990 \\ 333 - 33 - 3333 & \text { Anna } & F & 1989 \\ 555 - 55 - 5555 & \text { Anna } & F & 1970 \end{array} \\
AM CUSTOMER ZIPCODE INFO
 SSN  ZipCode 1111111116061122222212260655333333333606014444444446061155555555560655\begin{array} { c c } \text { SSN } & \text { ZipCode } \\ 111 - 11 - 1111 & 60611 \\ 222 - 22 - 2122 & 60655 \\ 333 - 33 - 3333 & 60601 \\ 444 - 44 - 4444 & 60611 \\ 555 - 55 - 5555 & 60655 \end{array}

This scenario will be used for the following questions citing ALSETMAX COMPANY.

-Based on the data in the three source tables,how many records will the dimension CUSTOMER in the populated star schema for ALSETMAX COMPANY have?

A)4
B)5
C)8
D)13
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21
GENERIC RETAILER
Observe the ER diagram for the Generic Retailer:
GENERIC RETAILER Observe the ER diagram for the Generic Retailer:   Assume that the dimension PRODUCT containing the following columns: ProductKey (surrogate key) ProductID ProductDescription ProductBrandID ProductBrandName ProductCategoryID ProductCategoryName is created for the Generic Retailer.This dimension will be used for the following questions citing Generic Retailer PRODUCT dimension. A user using an OLAP query (based on the dimensionally modeled data set that contains the ABC Retailer dimension PRODUCT)can drill up from ProductID to ProductCategoryID. Assume that the dimension PRODUCT containing the following columns:
ProductKey (surrogate key)
ProductID
ProductDescription
ProductBrandID
ProductBrandName
ProductCategoryID
ProductCategoryName
is created for the Generic Retailer.This dimension will be used for the following questions citing Generic Retailer PRODUCT dimension.
A user using an OLAP query (based on the dimensionally modeled data set that contains the ABC Retailer dimension PRODUCT)can drill up from ProductID to ProductCategoryID.
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22
OLAP/BI tools are designed for the analysis of dimensionally modeled data.
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23
The process of deciding what to extract during the extraction process begins after the requirements and modeling stages are completed.
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24
What is a first load?
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25
GENERIC RETAILER
Observe the ER diagram for the Generic Retailer:
GENERIC RETAILER Observe the ER diagram for the Generic Retailer:   Assume that the dimension PRODUCT containing the following columns: ProductKey (surrogate key) ProductID ProductDescription ProductBrandID ProductBrandName ProductCategoryID ProductCategoryName is created for the Generic Retailer.This dimension will be used for the following questions citing Generic Retailer PRODUCT dimension. A user using an OLAP query (based on the dimensionally modeled data set that contains the Generic Retailer dimension PRODUCT)can drill up from ProductBrandID to ProductCategoryID. Assume that the dimension PRODUCT containing the following columns:
ProductKey (surrogate key)
ProductID
ProductDescription
ProductBrandID
ProductBrandName
ProductCategoryID
ProductCategoryName
is created for the Generic Retailer.This dimension will be used for the following questions citing Generic Retailer PRODUCT dimension.
A user using an OLAP query (based on the dimensionally modeled data set that contains the Generic Retailer dimension PRODUCT)can drill up from ProductBrandID to ProductCategoryID.
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26
Developing front-end applications includes creating a set of predeveloped queries and interfaces to those queries.
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27
The word online in the term OLAP refers to the use of the Internet or other networks.
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28
The data in fact tables is always located faster in relational implementations than in the multidimensional implementations.
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29
The purpose of the drill up operation is to make the granularity of the data in the query result coarser.
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30
What takes place during the transformation part of ETL?
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31
Creating a data warehouse involves using the functionalities of database management software to implement the data warehouse model as a collection of physically created and mutually connected database tables.
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32
The multidimensional database cube always has three dimensions.
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33
GENERIC RETAILER
Observe the ER diagram for the Generic Retailer:
GENERIC RETAILER Observe the ER diagram for the Generic Retailer:   Assume that the dimension PRODUCT containing the following columns: ProductKey (surrogate key) ProductID ProductDescription ProductBrandID ProductBrandName ProductCategoryID ProductCategoryName is created for the Generic Retailer.This dimension will be used for the following questions citing Generic Retailer PRODUCT dimension. A user using an OLAP query (based on the dimensionally modeled data set that contains the Generic Retailer dimension PRODUCT)can drill down from ProductBrandID to ProductID. Assume that the dimension PRODUCT containing the following columns:
ProductKey (surrogate key)
ProductID
ProductDescription
ProductBrandID
ProductBrandName
ProductCategoryID
ProductCategoryName
is created for the Generic Retailer.This dimension will be used for the following questions citing Generic Retailer PRODUCT dimension.
A user using an OLAP query (based on the dimensionally modeled data set that contains the Generic Retailer dimension PRODUCT)can drill down from ProductBrandID to ProductID.
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34
Archived data from source systems is never present in the data warehouse.
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35
The process of transformation cannot involve standardizing different versions of the same data present in different data sources.
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36
The purpose of the drill down operation is to make the granularity of the data in the query result finer.
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37
What takes place during the load part of ETL?
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38
What takes place during the extraction part of ETL?
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39
GENERIC RETAILER
Observe the ER diagram for the Generic Retailer:
GENERIC RETAILER Observe the ER diagram for the Generic Retailer:   Assume that the dimension PRODUCT containing the following columns: ProductKey (surrogate key) ProductID ProductDescription ProductBrandID ProductBrandName ProductCategoryID ProductCategoryName is created for the Generic Retailer.This dimension will be used for the following questions citing Generic Retailer PRODUCT dimension. A user using an OLAP query (based on the dimensionally modeled data set that contains the Generic Retailer dimension PRODUCT)can drill down from ProductBrandID to ProductCategoryID. Assume that the dimension PRODUCT containing the following columns:
ProductKey (surrogate key)
ProductID
ProductDescription
ProductBrandID
ProductBrandName
ProductCategoryID
ProductCategoryName
is created for the Generic Retailer.This dimension will be used for the following questions citing Generic Retailer PRODUCT dimension.
A user using an OLAP query (based on the dimensionally modeled data set that contains the Generic Retailer dimension PRODUCT)can drill down from ProductBrandID to ProductCategoryID.
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40
What is a refresh load?
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41
Illustrate a typical HOLAP architecture.
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42
What is a data warehouse beta release?
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43
What is a data warehouse production release?
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44
What is a data warehouse alpha release?
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45
What is an executive dashboard?
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46
What enables direct lookup of values in the fact table in a multidimensional cube?
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47
What is the multidimensional database model?
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48
Illustrate a typical ROLAP architecture.
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49
Illustrate a typical MOLAP architecture.
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50
What is a refresh cycle?
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