Question 1

In terms of big data what is velocity?
A)Different forms of structured and unstructured data.
B)Uncertainty of data, including biases, noise, and abnormalities.
C)Scale of data.
D)Analysis of streaming data as it travels around the Internet.

Accepted Answer

Velocity refers to the speed at which data is generated and processed. It is specifically related to the analysis of streaming data as it travels around the Internet, which is option D.

Question 2

In terms of big data what is volume?
A)Different forms of structured and unstructured data.
B)Uncertainty of data, including biases, noise, and abnormalities.
C)Scale of data.
D)Analysis of streaming data as it travels around the Internet.

Accepted Answer

Volume in big data refers to the scale of data, which is typically characterized by the massive amounts of data that are generated and collected. This can include data from various sources such as social media platforms, sensors, and other types of digital devices. The volume of big data can range from terabytes to petabytes or even beyond.

Question 3

Text analytics analyzes unstructured data to find trends and patterns in words and sentences.Text mining a firm's customer support email might identify which customer service representative is best able to handle the question, allowing the system to forward it to the right person.

Accepted Answer

This statement is true. Text analytics can be used to identify patterns and trends in unstructured data such as customer support emails, and this information can be used to improve business processes such as routing the email to the appropriate representative.

Question 4

Social media analytics analyzes unstructured data associated with websites to identify consumer behavior and website navigation.

Accepted Answer

Social media analytics specifically analyzes data from social media platforms to understand and monitor social media behavior, trends, and engagement, not websites or unstructured data associated with websites.

Question 5

Data visualization tools can help uncover correlations and trends in data that would otherwise go unrecognized.

Accepted Answer

Data visualization tools use graphics and interactive elements to present data in a way that is easy to analyze and interpret. This can help identify patterns and relationships that may not be immediately obvious when looking at raw data.

Question 6

Speech analytics is the process of analyzing recorded calls to gather information.It brings structure to customer interactions and exposes information buried in customer contact center interactions with an enterprise.

Accepted Answer

Speech analytics is indeed the process of analyzing recorded calls to gather information and gain insights into customer interactions with an enterprise.

Question 7

In terms of big data, what is variety?
A)Different forms of structured and unstructured data.
B)Uncertainty of data, including biases, noise, and abnormalities.
C)Scale of data.
D)Analysis of streaming data as it travels around the Internet.

Accepted Answer

Variety in big data refers to the different forms of structured and unstructured data, including text, audio, video, and social media data. This variety poses a challenge for data processing and analysis.

Question 8

Web analytics analyzes unstructured data associated with websites to identify consumer behavior and website navigation.

Accepted Answer

Web analytics does indeed analyze unstructured data associated with websites to identify consumer behavior and website navigation.

Question 9

What processes and manages algorithms across many machines in a computing environment?
A)Distributed computing
B)Advanced analytics
C)Analysis paralysis
D)Data artist

Accepted Answer

Distributed computing is a type of computing where a group of computers work together to solve a problem or complete a task. This involves distributing the workload across multiple machines, and managing the algorithms across those machines to ensure optimal performance and efficiency.

Question 10

Speech analytics is heavily used in the customer service department to help improve processes by identifying angry customers and routing them to the appropriate customer service representative.

Accepted Answer

Speech analytics can be used to identify various types of customer feedback, including anger or frustration, and route calls accordingly to improve customer satisfaction and streamline processes.

Question 11

What is distributed computing?
A)Processes and manages algorithms across many machines in a computing environment.
B)Focuses on forecasting future trends and producing insights using sophisticated quantitative methods, including statistics, descriptive and predictive data mining, simulation, and optimization.
C)Occurs when the user goes into an emotional state of overanalysis (or overthinking) a situation so that a decision or action is never taken, in effect paralyzing the outcome.
D)A business analytics specialist who uses visual tools to help people understand complex data.

Accepted Answer

Distributed computing is the process of managing algorithms across many machines in a computing environment.

Question 12

Data visualization tools move beyond Excel graphs and charts into sophisticated analysis techniques such as pie charts, controls, instruments, maps, time-series graphs, and more.

Accepted Answer

Data visualization tools have advanced beyond simple graphs and charts in Excel to include a variety of sophisticated analysis techniques, such as pie charts, controls, instruments, maps, and time-series graphs.

Question 13

Social media analytics analyzes text flowing across the Internet, including unstructured text from blogs and messages.

Accepted Answer

Social media analytics does analyze unstructured text from blogs and messages.

Question 14

What focuses on forecasting future trends and producing insights using sophisticated quantitative methods, including statistics, descriptive and predictive data mining, simulation, and optimization?
A)Big data
B)Distributed computing
C)Advanced analytics
D)Data scientist

Accepted Answer

Advanced analytics involves forecasting future trends and producing insights using sophisticated quantitative methods, including statistics, descriptive and predictive data mining, simulation, and optimization. Big data refers to large and complex data sets, distributed computing refers to the use of multiple computers to solve a problem or complete a task, and a data scientist is an individual who uses their expertise in data analysis to extract insights from data.

Question 15

In terms of big data, what includes the scale of data?
A)Variety
B)Veracity
C)Volume
D)Velocity

Accepted Answer

The scale of data refers to the amount of data being processed, which is represented by volume. Variety refers to the different types of data being processed, veracity refers to the accuracy and reliability of the data, and velocity refers to the speed at which the data is being generated and collected.

Question 16

What focuses on forecasting future trends and producing insights using sophisticated quantitative methods, including statistics, descriptive and predictive data mining, simulation, and optimization?
A)Distributed computing
B)Advanced analytics
C)Analysis paralysis
D)Data artist

Accepted Answer

Advanced analytics focuses on forecasting future trends and producing insights using sophisticated quantitative methods. These methods include statistics, descriptive and predictive data mining, simulation, and optimization. Distributed computing refers to the use of multiple computers working together to solve a problem, analysis paralysis is the state of over-analyzing or over-thinking a situation, and a data artist is someone who brings creativity to data analysis and visualization.

Question 17

In terms of big data, what includes the uncertainty of data, including biases, noise, and abnormalities?
A)Variety
B)Veracity
C)Volume
D)Velocity

Accepted Answer

Veracity refers to the accuracy and uncertainty of data, including biases, noise, and abnormalities. Variety refers to the different types of data, Volume refers to the amount of data, and Velocity refers to the speed at which data is generated and processed.

Question 18

In terms of big data, what includes different forms of structured and unstructured data?
A)Variety
B)Veracity
C)Volume
D)Velocity

Accepted Answer

The term "variety" refers to the different forms of data that can now be collected and analyzed through big data technologies, including structured data (like that found in databases), unstructured data (like text from social media and email), and semi-structured data (like XML files). Veracity refers to the quality of the data, volume to the amount of data, and velocity to the speed at which data is generated and processed.

Question 19

Web analytics analyzes unstructured data to find trends and patterns in words and sentences.

Accepted Answer

Web analytics analyzes structured data from websites and online platforms, such as user behavior, traffic sources, and conversion rates. It does not analyze unstructured data such as words and sentences. Natural Language Processing (NLP) tools are typically used to analyze unstructured data.

Question 20

In terms of big data what is veracity?
A)Different forms of structured and unstructured data.
B)Uncertainty of data, including biases, noise, and abnormalities.
C)Scale of data.
D)Analysis of streaming data as it travels around the Internet.

Accepted Answer

Veracity refers to the quality of data and the degree to which it can be trusted. As such, it involves the uncertainty of data, including biases, noise, and abnormalities. This is particularly important in big data, where large volumes of data can make it difficult to ensure data quality and accuracy.

Quiz 8: Understanding Big Data and Its Impact on Business

In terms of big data what is velocity?

In terms of big data what is volume?

Text analytics analyzes unstructured data to find trends and patterns in words and sentences.Text mining a firm's customer support email might identify which customer service representative is best able to handle the question, allowing the system to forward it to the right person.

Social media analytics analyzes unstructured data associated with websites to identify consumer behavior and website navigation.

Data visualization tools can help uncover correlations and trends in data that would otherwise go unrecognized.

Speech analytics is the process of analyzing recorded calls to gather information.It brings structure to customer interactions and exposes information buried in customer contact center interactions with an enterprise.

In terms of big data, what is variety?

Web analytics analyzes unstructured data associated with websites to identify consumer behavior and website navigation.

What processes and manages algorithms across many machines in a computing environment?

Speech analytics is heavily used in the customer service department to help improve processes by identifying angry customers and routing them to the appropriate customer service representative.

What is distributed computing?

Data visualization tools move beyond Excel graphs and charts into sophisticated analysis techniques such as pie charts, controls, instruments, maps, time-series graphs, and more.

Social media analytics analyzes text flowing across the Internet, including unstructured text from blogs and messages.

What focuses on forecasting future trends and producing insights using sophisticated quantitative methods, including statistics, descriptive and predictive data mining, simulation, and optimization?

In terms of big data, what includes the scale of data?

What focuses on forecasting future trends and producing insights using sophisticated quantitative methods, including statistics, descriptive and predictive data mining, simulation, and optimization?

In terms of big data, what includes the uncertainty of data, including biases, noise, and abnormalities?

In terms of big data, what includes different forms of structured and unstructured data?

Web analytics analyzes unstructured data to find trends and patterns in words and sentences.

In terms of big data what is veracity?