Question 1

Walmart's use of big data analytics focused on updating the Polaris search engine with clickstream data,resulting in an increase in online shoppers completing a purchase by more than ________ percent.

Accepted Answer

The answer of Walmart's use of big data analytics focused...

Question 2

With text analytics,information is extracted out of large quantities of various types of textual information.Which of the following is not one of the steps involved in text analytics described in your text?

Accepted Answer

The step of visualization is not one of the steps involved in text analytics according to the text mentioned in the question. The other three steps mentioned are exploration of documents, preprocessing of documents, and categorization and modeling of document content.

Question 3

Machine-generated sensor data from________ are becoming a much larger proportion of big data and analytics.

Accepted Answer

Machine-generated sensor data from physical objects such as industrial equipment, home appliances, and wearable devices are becoming increasingly prevalent with the rise of the internet of things (IoT) technology. The data generated from these devices can provide valuable insights for businesses and organizations, and it is expected to make up a significant portion of big data and analytics in the coming years. While satellites, smartphones, and vehicles also generate sensor data, they do not have the same level of proliferation as physical objects in the IoT ecosystem.

Question 4

When customer X calls an organization's customer service center,the service representative has access to a complete history of X's previous calls,as a list of the services X has purchased,and customer profitability score.All of this information is up-to-date and is accessed from the company's _________.

Accepted Answer

An active data warehouse is designed to enable the integration of past and current data in real-time, supporting decision-making processes with up-to-date, comprehensive views of business activities, including customer interactions, purchases, and profitability scores.

Question 5

What is the key advantage of an active data warehouse compared to a traditional data warehouse?

Accepted Answer

The key advantage of an active data warehouse compared to a traditional data warehouse is that the data in the ADW is constantly updated, providing more current data than a traditional data warehouse. This ensures that the data is always up-to-date and relevant for decision making. Option A and D are incorrect because there is no evidence to support that an ADW is less expensive or more widely available. Option B is partially correct, but it does not differentiate between a traditional data warehouse and an ADW.

Question 6

___________ is a set of processes that aid organizations in integrating data from various sources or enterprise applications to create and maintain a more unified view of a customer,product,or other core data entity that is shared across systems.

Accepted Answer

Master data management (MDM) aids organizations in creating and maintaining a unified view of core data entities that are shared across various systems. This is achieved through processes such as data profiling, data cleansing, and data governance. MDM is crucial for businesses that have to manage large amounts of data from diverse sources, as it ensures that data is accurate, consistent, and up-to-date across all systems.

Question 7

________ processes move data from databases into data warehouses or data marts,where the data are available for access,reports,and analysis.

Accepted Answer

Extract, transformation, load (ETL) processes are specifically designed to transfer data from one system/database to another. In this case, ETL processes move data from databases into data warehouses or data marts where the data is stored and made available for access, reports, and analysis. Big data analytics and data mining are related to the analysis of data, while data de-duplication is a process of removing duplicate data within a database or data storage system, and is not directly related to the movement or transfer of data.

Question 8

Big data volumes that exceed the processing capacity of conventional infrastructures are processed using the ________ platform.

Accepted Answer

Hadoop is a distributed computing platform that can process large volumes of data across clusters of computers. It can scale up or down depending on the amount of data being processed, making it an ideal choice for big data applications. The other options, Oracle, ADW, and MySQL, are relational database management systems that may not be suitable for processing large volumes of unstructured data.

Question 9

In terms of the major functions performed by a DBMS,"data filtering and profiling" refers to which of the following?

Accepted Answer

Data filtering and profiling involves inspecting the data for errors, inconsistencies, redundancies, and incomplete information. This function helps ensure the data is accurate and usable for analysis and decision-making.

Question 10

Distributed databases use ___________ architecture to process information requests.

Accepted Answer

Distributed databases use client/server architecture to process information requests. In this architecture, the client sends a request to the server and the server processes the request and sends back the result to the client. This allows for a scalable and efficient way of processing information requests in a distributed environment. NoSQL, private clouds, and public clouds are not directly related to the architecture used in processing information requests in distributed databases.

Question 11

____________ software enables users to analyze data from various dimensions or angles,categorize them,and find correlations or patterns among fields in the data warehouse.

Accepted Answer

Data mining software is specifically designed to analyze large sets of data and identify patterns, correlations, and other useful insights. It allows users to sort and categorize data in various ways, and provides tools for visualizing and exploring the data from multiple angles. NoSQL, Hadoop, and Nexus are all database technologies or platforms, but they do not have the same functionality as data mining software.

Question 12

According to the ________,a majority of data is seldom accessed after a 3-month period.

Accepted Answer

The Principle of 90/90 data use suggests that 90% of data is rarely accessed again 90 days after it is stored, highlighting the phenomenon where the majority of data becomes less actively used shortly after its initial period of utility.

Question 13

________ enable managers to predict how customers would behave and use that knowledge to be prepared to respond quickly.

Accepted Answer

Big data analytics involves analyzing large sets of data to uncover insights, patterns, and trends that can be used to make better decisions. In the context of customer behavior, big data analytics can be used to analyze customer data to predict how they are likely to behave in the future. This knowledge can then be used to prepare to respond quickly to customer needs and preferences.

Question 14

Sometimes organizations place too much emphasis on the costs associated with acquiring high levels of data quality and ignore the costs of "dirty" or poor quality data.Which of the following sets of factors make up the total costs associated with poor quality data?

Accepted Answer

The answer of Sometimes organizations place too much emphasis on...

Question 15

The principle of ________ explains why most organizations cannot operate at peak performance with blind spots (lack of data availability)of 30 days or longer.Global financial services institutions rely on near-real-time data for peak performance.

Accepted Answer

The principle of diminishing data value states that the value of data decreases as time passes, and blind spots of 30 days or longer can significantly impact an organization's performance. Therefore, global financial services institutions require near-real-time data to operate at peak performance. Choices A, B, and D are all important principles in data management but do not directly address the issue of blind spots in data availability.

Question 16

_____________ helps companies tap into the massive volume of customer opinions expressed online.

Accepted Answer

Text mining involves analyzing and extracting useful information from unstructured data sources such as social media posts, customer reviews, and online forums. This allows companies to gain insights into customer opinions and preferences, which can inform marketing strategies, product development, and customer service efforts.

Question 17

In the past,data was transferred from OTLP databases to data warehouses periodically,say once a month or even once a week.Now,the trend is toward ___________,or real-time,data warehousing so that analysis and decision support apps use current data.

Accepted Answer

Active data warehousing refers to the process of updating the data warehouse in real-time or near-real-time, allowing for analysis and decision-making based on the most current data.

Question 18

Which of the following is not a risk associated with cloud-based BI?

Accepted Answer

Cloud-based BI typically reduces costs due to scalability and reduced need for on-premises infrastructure, rather than increasing them.

Question 19

MDM consolidates data from various data sources into a __________,which then feeds data back to the applications,thereby creating accurate and consistent.This helps eliminate redundancies,inaccuracies and omissions that might otherwise hinder business processes.

Accepted Answer

MDM consolidates data into a master reference file, which is then used to feed data back to the applications, ensuring accuracy and consistency. It helps eliminate redundancies, inaccuracies, and omissions that might otherwise hinder business processes. A data silo is a situation where data is kept in separate, isolated systems, making it difficult to share and access. Backup files are copies of data that are used in case of data loss or corruption. A central directory is a directory used to store information about users or resources in a network.

Question 20

Despite the need for high-quality data,____________ and technical issues often make it a difficult goal to achieve.

Accepted Answer

The answer of Despite the need for high-quality data,____________ and...

Quiz 3: Data Management, Business Intelligence, and Data Analytics