Ch. 13 - Big Data and Analytics

Question 1

The term “Big Data” is relative as it depends on the size of the using organization.

Answer 1

True

Question 2

Many analytics tools are too complex for the average user, and this is one justification for Big Data.

Answer 2

True

Question 3

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

Answer 3

False

Question 4

MapReduce can be easily understood by skilled programmers due to its procedural nature.

Answer 4

True

Question 5

Hadoop was designed to handle petabytes and extabytes of data distributed over multiple nodes in parallel.

Answer 5

True

Question 6

Hadoop and MapReduce require each other to work.

Answer 6

False

Question 7

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

Answer 7

False

Question 8

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

Answer 8

True

Question 9

The data scientist is a profession for a field that is still largely being defined.

Answer 9

True

Question 10

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

Answer 10

True

Question 11

For low latency, interactive reports, a data warehouse is preferable to Hadoop.

Answer 11

True

Question 12

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

Answer 12

True

Question 13

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

Answer 13

True

Question 14

Big Data simplifies data governance issues, especially for global firms.

Answer 14

False

Question 15

Current total storage capacity lags behind the digital information being generated in the world.

Answer 15

True

Question 16

Using data to understand customers/clients and business operations to sustain and foster
growth and profitability is
A) easier with the advent of BI and Big Data.
B) essentially the same now as it has always been.
C) an increasingly challenging task for today’s enterprises.
D) now completely automated with no human intervention required.

Answer 16

C) an increasingly challenging task for today’s enterprises.

Question 17

A newly popular unit of data in the Big Data era is the petabyte (PB), which is
A) 10^9 bytes.
B) 10^12 bytes.
C) 10^15 bytes.
D) 10^18 bytes.

Answer 17

C) 10^15 bytes.

Question 18

Which of the following sources is likely to produce Big Data the fastest?
A) order entry clerks
B) cashiers
C) RFID tags
D) online customers

Answer 18

C) RFID tags

Question 19

Data flows can be highly inconsistent, with periodic peaks, making data loads hard to manage. What is this feature of Big Data called?
A) volatility
B) periodicity
C) inconsistency
D) variability

Answer 19

D) variability

Question 20

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

Answer 20

A) in-memory analytics

Question 21

Which Big Data approach promotes efficiency, lower cost, and better performance by processing jobs in a shared, centrally managed pool of IT resources?
A) in-memory analytics
B) in-database analytics
C) grid computing
D) appliances

Answer 21

C) grid computing

Question 22

How does Hadoop work?
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.

Answer 22

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 23

What is the Hadoop Distributed File System (HDFS) designed to handle?
A) unstructured and semistructured relational data
B) unstructured and semistructured non-relational data
C) structured and semistructured relational data
D) structured and semistructured non-relational data

Answer 23

B) unstructured and semistructured non-relational data

Question 24

In a Hadoop “stack,” what is a slave node?
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

Answer 24

C) a node where data is stored and processed

Question 25

In a Hadoop "stack," what node periodically replicates and stores data from the Name Node should it fail? A) backup node B) secondary node C) substitute node D) slave node

Answer 25

B) secondary node

Question 26

All of the following statements about MapReduce are true EXCEPT 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.

Answer 26

D) MapReduce runs without fault tolerance.

Question 27

Traditional data warehouses have not been able to keep up with A) the evolution of the SQL language. B) the variety and complexity of data. C) expert systems that run on them. D) OLAP.

Answer 27

B) the variety and complexity of data.

Question 28

Under which of the following requirements would it be more appropriate to use Hadoop over a data warehouse? A) ANSI 2003 SQL compliance is required B) online archives alternative to tape C) unrestricted, ungoverned sandbox explorations D) analysis of provisional data

Answer 28

C) unrestricted, ungoverned sandbox explorations

Question 29

What is Big Data's relationship to the cloud? A) Hadoop cannot be deployed effectively in the cloud just yet. B) Amazon and Google have working Hadoop cloud offerings. C) IBM's homegrown Hadoop platform is the only option. D) Only MapReduce works in the cloud; Hadoop does not.

Answer 29

B) Amazon and Google have working Hadoop cloud offerings.

Question 30

Companies with the largest revenues from Big Data tend to be 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.

Answer 30

A) the largest computer and IT services firms.

Question 31

In the health sciences, the largest potential source of Big Data comes from A) accounting systems. B) human resources. C) patient monitoring. D) research administration.

Answer 31

C) patient monitoring.

Question 32

In the Discovery Health insurance case study, the analytics application used available data to help the company do all of the following EXCEPT A) predict customer health. B) detect fraud. C) lower costs for members. D) open its own pharmacy.

Answer 32

D) open its own pharmacy.