Question 1

The ________ Node in a Hadoop cluster provides client information on where in the cluster particular data is stored and if any nodes fail.

Accepted Answer

Name

Question 2

If you have many flexible programming languages running in parallel,Hadoop is preferable to a data warehouse.

Accepted Answer

A) True 
 B)False  True

Question 3

Under which of the following requirements would it be more appropriate to use Hadoop over a data warehouse?

Accepted Answer

A) ANSI 2003 SQL compliance is required 
B) online archives alternative to tape 
C) unrestricted,ungoverned sandbox explorations 
D) analysis of provisional data 
A) ANSI 2003 SQL compliance is required 
B) online archives alternative to tape 
C) unrestricted,ungoverned sandbox explorations 
D) analysis of provisional data C

Question 4

A newly popular unit of data in the Big Data era is the petabyte (PB),which is

Accepted Answer

A) 109 bytes. 
B) 1012 bytes. 
C) 1015 bytes. 
D) 1018 bytes. 
A) 109 bytes. 
B) 1012 bytes. 
C) 1015 bytes. 
D) 1018 bytes.

Question 5

All of the following statements about MapReduce are true EXCEPT

Accepted Answer

A) MapReduce is a general-purpose execution engine. 
B) MapReduce handles the complexities of network communication. 
C) MapReduce handles parallel programming. 
D) MapReduce runs without fault tolerance. 
A) MapReduce is a general-purpose execution engine. 
B) MapReduce handles the complexities of network communication. 
C) MapReduce handles parallel programming. 
D) MapReduce runs without fault tolerance.

Question 6

The ________ of Big Data is its potential to contain more useful patterns and interesting anomalies than "small" data.

Accepted Answer

The answer of The ________ of Big Data is its...

Question 7

In-motion ________ is often overlooked today in the world of BI and Big Data.

Accepted Answer

The answer of In-motion ________ is often overlooked today in...

Question 8

A job ________ is a node in a Hadoop cluster that initiates and coordinates MapReduce jobs,or the processing of the data.

Accepted Answer

The answer of A job ________ is a node in...

Question 9

It is important for Big Data and self-service business intelligence to go hand in hand to get maximum value from analytics.

Accepted Answer

A) True 
 B)False

Question 10

________ speeds time to insights and enables better data governance by performing data integration and analytic functions inside the database.

Accepted Answer

In-databas

Question 11

In the Salesforce case study,streaming data is used to identify services that customers use most.

Accepted Answer

A) True 
 B)False

Question 12

What are the differences between stream analytics and perpetual analytics? When would you use one or the other?

Accepted Answer

• In many cases they are used synonymous

Question 13

In a Hadoop "stack," what node periodically replicates and stores data from the Name Node should it fail?

Accepted Answer

A) backup node 
B) secondary node 
C) substitute node 
D) slave node 
A) backup node 
B) secondary node 
C) substitute node 
D) slave node

Question 14

Companies with the largest revenues from Big Data tend to be

Accepted Answer

A) the largest computer and IT services firms. 
B) small computer and IT services firms. 
C) pure open source Big Data firms. 
D) non-U.S.Big Data firms. 
A) the largest computer and IT services firms. 
B) small computer and IT services firms. 
C) pure open source Big Data firms. 
D) non-U.S.Big Data firms.

Question 15

Traditional data warehouses have not been able to keep up with

Accepted Answer

A) the evolution of the SQL language. 
B) the variety and complexity of data. 
C) expert systems that run on them. 
D) OLAP. 
A) the evolution of the SQL language. 
B) the variety and complexity of data. 
C) expert systems that run on them. 
D) OLAP.

Question 16

In the opening vignette,the Access Telecom (AT),built a system to better visualize customers who were unhappy before they canceled their service.

Accepted Answer

A) True 
 B)False

Question 17

Allowing Big Data to be processed in memory and distributed across a dedicated set of nodes can solve complex problems in near-real time with highly accurate insights.What is this process called?

Accepted Answer

A) in-memory analytics 
B) in-database analytics 
C) grid computing 
D) appliances 
A) in-memory analytics 
B) in-database analytics 
C) grid computing 
D) appliances

Question 18

List and describe the three main "V"s that characterize Big Data.

Accepted Answer

• Volume: This is obviously the most com

Question 19

When considering Big Data projects and architecture,list and describe five challenges designers should be mindful of in order to make the journey to analytics competency less stressful.

Accepted Answer

• Data volume: The ability to capture,st

Question 20

What is NoSQL as used for Big Data? Describe its major downsides.

Accepted Answer

• NoSQL is a new style of database that

The ________ Node in a Hadoop cluster provides client information on where in the cluster particular data is stored and if any nodes fail.

If you have many flexible programming languages running in parallel,Hadoop is preferable to a data warehouse.

Under which of the following requirements would it be more appropriate to use Hadoop over a data warehouse?

A newly popular unit of data in the Big Data era is the petabyte (PB),which is

All of the following statements about MapReduce are true EXCEPT

The ________ of Big Data is its potential to contain more useful patterns and interesting anomalies than "small" data.

In-motion ________ is often overlooked today in the world of BI and Big Data.

A job ________ is a node in a Hadoop cluster that initiates and coordinates MapReduce jobs,or the processing of the data.

It is important for Big Data and self-service business intelligence to go hand in hand to get maximum value from analytics.

________ speeds time to insights and enables better data governance by performing data integration and analytic functions inside the database.

In the Salesforce case study,streaming data is used to identify services that customers use most.

What are the differences between stream analytics and perpetual analytics? When would you use one or the other?

In a Hadoop "stack," what node periodically replicates and stores data from the Name Node should it fail?

Companies with the largest revenues from Big Data tend to be

Traditional data warehouses have not been able to keep up with

In the opening vignette,the Access Telecom (AT),built a system to better visualize customers who were unhappy before they canceled their service.

Allowing Big Data to be processed in memory and distributed across a dedicated set of nodes can solve complex problems in near-real time with highly accurate insights.What is this process called?

List and describe the three main "V"s that characterize Big Data.

When considering Big Data projects and architecture,list and describe five challenges designers should be mindful of in order to make the journey to analytics competency less stressful.

What is NoSQL as used for Big Data? Describe its major downsides.

An Overview of Business Intelligence,analytics,and Data Science

Descriptive Analytics I: Nature of Data,statistical Modeling,

Descriptive Analytics II: Business Intelligence and Data Warehousing

Predictive Analytics I: Data Mining Process, methods, and Algorithms

Predictive Analytics II: Text, web, and Social Media Analytics

Prescriptive Analytics: Optimization and Simulation

Future Trends,privacy and Managerial Considerations in Analytics

Filters

Exam 7: Big Data Concepts and Tools

The ________ Node in a Hadoop cluster provides client information on where in the cluster particular data is stored and if any nodes fail.

If you have many flexible programming languages running in parallel,Hadoop is preferable to a data warehouse.

Under which of the following requirements would it be more appropriate to use Hadoop over a data warehouse?

A newly popular unit of data in the Big Data era is the petabyte (PB),which is

All of the following statements about MapReduce are true EXCEPT

The ________ of Big Data is its potential to contain more useful patterns and interesting anomalies than "small" data.

In-motion ________ is often overlooked today in the world of BI and Big Data.

A job ________ is a node in a Hadoop cluster that initiates and coordinates MapReduce jobs,or the processing of the data.

It is important for Big Data and self-service business intelligence to go hand in hand to get maximum value from analytics.

________ speeds time to insights and enables better data governance by performing data integration and analytic functions inside the database.

In the Salesforce case study,streaming data is used to identify services that customers use most.

What are the differences between stream analytics and perpetual analytics? When would you use one or the other?

In a Hadoop "stack," what node periodically replicates and stores data from the Name Node should it fail?

Companies with the largest revenues from Big Data tend to be

Traditional data warehouses have not been able to keep up with

In the opening vignette,the Access Telecom (AT),built a system to better visualize customers who were unhappy before they canceled their service.

Allowing Big Data to be processed in memory and distributed across a dedicated set of nodes can solve complex problems in near-real time with highly accurate insights.What is this process called?

List and describe the three main "V"s that characterize Big Data.

When considering Big Data projects and architecture,list and describe five challenges designers should be mindful of in order to make the journey to analytics competency less stressful.

What is NoSQL as used for Big Data? Describe its major downsides.

An Overview of Business Intelligence,analytics,and Data Science

Descriptive Analytics I: Nature of Data,statistical Modeling,

Descriptive Analytics II: Business Intelligence and Data Warehousing

Predictive Analytics I: Data Mining Process, methods, and Algorithms

Predictive Analytics II: Text, web, and Social Media Analytics

Prescriptive Analytics: Optimization and Simulation

Future Trends,privacy and Managerial Considerations in Analytics

Filters