Question 1

What is the main goal of Data-Intensive Computing?

Accepted Answer

Process large datasets efficiently

Answer

Reduce memory usage

Answer

Increase CPU speed

Answer

Improve UI performance

Question 2

Which characteristic best defines data-intensive computation?

Accepted Answer

Large data movement

Answer

Small datasets

Answer

Sequential execution

Answer

High CPU usage

Question 3

MapReduce works best when:

Accepted Answer

Data is distributed across nodes

Answer

Data is small

Answer

Data fits in memory

Answer

Data is encrypted

Question 4

In MapReduce, the Mapper function outputs:

Accepted Answer

Key-value pairs

Answer

Single value

Answer

Only keys

Answer

Only values

Question 5

What is the role of Shuffle phase?

Accepted Answer

Sorts and groups data by key

Answer

Splits data

Answer

Stores output

Answer

Executes reducer

Question 6

Which of the following is NOT a feature of HDFS?

Accepted Answer

Low latency

Answer

Fault tolerance

Answer

High throughput

Answer

Scalability

Question 7

NameNode is responsible for:

Accepted Answer

Managing metadata

Answer

Network security

Answer

Storing actual data

Answer

Running MapReduce jobs

Question 8

What is the default replication factor in HDFS?

Accepted Answer

3

Answer

2

Answer

5

Answer

1

Question 9

Which command uploads file to HDFS?

Accepted Answer

put

Answer

get

Answer

rm

Answer

ls

Question 10

Which command is used to download file from HDFS?

Accepted Answer

get

Answer

put

Answer

ls

Answer

rm

Question 11

In HDFS architecture, Secondary NameNode:

Accepted Answer

In HDFS architecture, Secondary NameNode:

Answer

Stores data

Answer

Replaces NameNode

Answer

Stores data

Question 12

What happens when a DataNode fails?

Accepted Answer

Data is recovered using replication

Answer

Job stops immediately

Answer

Data is lost permanently

Answer

System crashes

Question 13

HDFS Web GUI is used for:

Accepted Answer

Monitoring cluster and files

Answer

Debugging Mapper

Answer

Running Java programs

Answer

Writing code

Question 14

In MapReduce, combiner is used to:

Accepted Answer

Reduce data before shuffle

Answer

Sort data

Answer

Replace reducer

Answer

Split data

Question 15

Why is moving computation to data better than moving data to computation?

Accepted Answer

Reduces network cost

Answer

Increases storage

Answer

Improves UI

Answer

Reduces CPU load

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