Question 1

Big Data uses commodity hardware,which is expensive,specialized hardware that is custom built for a client or application.

Accepted Answer

A) True 
 B)False

Question 2

Despite their potential,many current NoSQL tools lack mature management and monitoring tools.

Accepted Answer

A) True 
 B)False

Question 3

How does Hadoop work?

Accepted Answer

A)  It integrates Big Data into a whole so large data elements can be processed as a whole on one computer. 
B)  It integrates Big Data into a whole so large data elements can be processed as a whole on multiple computers. 
C)  It breaks up Big Data into multiple parts so each part can be processed and analyzed at the same time on one computer. 
D)  It breaks up Big Data into multiple parts so each part can be processed and analyzed at the same time on multiple computers. 
A)  It integrates Big Data into a whole so large data elements can be processed as a whole on one computer. 
B)  It integrates Big Data into a whole so large data elements can be processed as a whole on multiple computers. 
C)  It breaks up Big Data into multiple parts so each part can be processed and analyzed at the same time on one computer. 
D)  It breaks up Big Data into multiple parts so each part can be processed and analyzed at the same time on multiple computers.

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

In the opening vignette,what is the source of the Big Data collected at the European Organization for Nuclear Research or CERN?

Accepted Answer

Forty million times per second,particles

Question 6

In the Dublin City Council case study,GPS data from the city's buses and CCTV were the only data sources for the Big Data GIS-based application.

Accepted Answer

A) True 
 B)False

Question 7

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 8

In a Hadoop "stack," what is a slave node?

Accepted Answer

A)  a node where bits of programs are stored 
B)  a node where metadata is stored and used to organize data processing 
C)  a node where data is stored and processed 
D)  a node responsible for holding all the source programs 
A)  a node where bits of programs are stored 
B)  a node where metadata is stored and used to organize data processing 
C)  a node where data is stored and processed 
D)  a node responsible for holding all the source programs

Question 9

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 10

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 11

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 12

There is a current undersupply of data scientists for the Big Data market.

Accepted Answer

A) True 
 B)False

Question 13

As the size and the complexity of analytical systems increase,the need for more ________ analytical systems is also increasing to obtain the best performance.

Accepted Answer

The answer of As the size and the complexity of...

Question 14

In the Discovery Health insurance case study,the analytics application used available data to help the company do all of the following EXCEPT

Accepted Answer

A)  predict customer health. 
B)  detect fraud. 
C)  lower costs for members. 
D)  open its own pharmacy. 
A)  predict customer health. 
B)  detect fraud. 
C)  lower costs for members. 
D)  open its own pharmacy.

Question 15

In most cases,Hadoop is used to replace data warehouses.

Accepted Answer

A) True 
 B)False

Question 16

Which Big Data approach promotes efficiency,lower cost,and better performance by processing jobs in a shared,centrally managed pool of IT resources?

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 17

Hadoop is primarily a(n)________ file system and lacks capabilities we'd associate with a DBMS,such as indexing,random access to data,and support for SQL.

Accepted Answer

The answer of Hadoop is primarily a(n)________ file system and...

Question 18

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 capt

Question 19

In the Big Data and Analytics in Politics case study,what was the analytic system output or goal?

Accepted Answer

A)  census data 
B)  assessment of sentiment 
C)  voter mobilization 
D)  group clustering 
A)  census data 
B)  assessment of sentiment 
C)  voter mobilization 
D)  group clustering

Question 20

Why are some portions of tape backup workloads being redirected to Hadoop clusters today?

Accepted Answer

.First,while it may appear inexpensive t

Big Data uses commodity hardware,which is expensive,specialized hardware that is custom built for a client or application.

Despite their potential,many current NoSQL tools lack mature management and monitoring tools.

How does Hadoop work?

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

In the opening vignette,what is the source of the Big Data collected at the European Organization for Nuclear Research or CERN?

In the Dublin City Council case study,GPS data from the city's buses and CCTV were the only data sources for the Big Data GIS-based application.

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?

In a Hadoop "stack," what is a slave node?

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

All of the following statements about MapReduce are true EXCEPT

Traditional data warehouses have not been able to keep up with

There is a current undersupply of data scientists for the Big Data market.

As the size and the complexity of analytical systems increase,the need for more ________ analytical systems is also increasing to obtain the best performance.

In the Discovery Health insurance case study,the analytics application used available data to help the company do all of the following EXCEPT

In most cases,Hadoop is used to replace data warehouses.

Which Big Data approach promotes efficiency,lower cost,and better performance by processing jobs in a shared,centrally managed pool of IT resources?

Hadoop is primarily a(n)________ file system and lacks capabilities we'd associate with a DBMS,such as indexing,random access to data,and support for SQL.

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.

In the Big Data and Analytics in Politics case study,what was the analytic system output or goal?

Why are some portions of tape backup workloads being redirected to Hadoop clusters today?

An Overview of Business Intelligence, Analytics, and Decision Support

Data Warehousing

Business Reporting, visual Analytics, and Business Performance Management

Data Mining

Text,web,and Social Analytics

Business Analytics: Emerging Trends and Future Directions

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Exam 6: Big Data and Analytics

Big Data uses commodity hardware,which is expensive,specialized hardware that is custom built for a client or application.

Despite their potential,many current NoSQL tools lack mature management and monitoring tools.

How does Hadoop work?

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

In the opening vignette,what is the source of the Big Data collected at the European Organization for Nuclear Research or CERN?

In the Dublin City Council case study,GPS data from the city's buses and CCTV were the only data sources for the Big Data GIS-based application.

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?

In a Hadoop "stack," what is a slave node?

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

All of the following statements about MapReduce are true EXCEPT

Traditional data warehouses have not been able to keep up with

There is a current undersupply of data scientists for the Big Data market.

As the size and the complexity of analytical systems increase,the need for more ________ analytical systems is also increasing to obtain the best performance.

In the Discovery Health insurance case study,the analytics application used available data to help the company do all of the following EXCEPT

In most cases,Hadoop is used to replace data warehouses.

Which Big Data approach promotes efficiency,lower cost,and better performance by processing jobs in a shared,centrally managed pool of IT resources?

Hadoop is primarily a(n)________ file system and lacks capabilities we'd associate with a DBMS,such as indexing,random access to data,and support for SQL.

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.

In the Big Data and Analytics in Politics case study,what was the analytic system output or goal?

Why are some portions of tape backup workloads being redirected to Hadoop clusters today?

An Overview of Business Intelligence, Analytics, and Decision Support

Data Warehousing

Business Reporting, visual Analytics, and Business Performance Management

Data Mining

Text,web,and Social Analytics

Business Analytics: Emerging Trends and Future Directions

Filters