How does HDFS achieve fault tolerance?

By storing multiple replicas of each data block on different nodes

By using a single powerful server with redundant power supplies

By storing a full copy of the file on every node

By using a RAID array on each node

What is the purpose of the shuffle and sort phase in a MapReduce job?

To split the input data into smaller chunks for parallel processing

To write the final output to HDFS

To compress the intermediate data to save storage space

To combine all intermediate values with the same key and send them to a single reducer

A company runs a MapReduce job that processes a 10 TB dataset every night. The job currently takes 6 hours. They need to reduce the runtime to under 3 hours. The cluster has 20 nodes, and the job is CPU-bound. Which change is most likely to achieve the goal?

Increase the HDFS replication factor.

Increase the number of reducers.

Use a combiner to reduce network traffic.

A company stores 100 TB of archival data in HDFS. They want to minimize storage cost while maintaining fault tolerance. Which approach is most effective?

Disable the NameNode's metadata.

Set the replication factor to 1.

Use HDFS erasure coding instead of replication.

Store the data on a single DataNode.

A Hadoop cluster experiences a NameNode failure. The cluster was not configured with high availability. What is the immediate consequence?

DataNodes continue to serve read requests independently.

DataNodes automatically elect a new NameNode.

The ResourceManager takes over the NameNode's role.

The cluster becomes unavailable because the NameNode is the single point of failure.

Dell Data Science Foundations

Domain 5Objective 2

Describe the Nature and Use of MapReduce and Apache Hadoop DATA-SCIENCE-FOUNDATIONS Practice Questions (Page 4)

Part of the Advanced Analytics for Big Data - Technology and Tools domain, which accounts for 22% of the DATA-SCIENCE-FOUNDATIONS exam.

29questions here

6free pages

6concepts

22%of the exam

Questions 16–20

16foundation · easy
How does HDFS achieve fault tolerance?
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17foundation · easy
What is the purpose of the shuffle and sort phase in a MapReduce job?
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18expert · medium
A company runs a MapReduce job that processes a 10 TB dataset every night. The job currently takes 6 hours. They need to reduce the runtime to under 3 hours. The cluster has 20 nodes, and the job is CPU-bound. Which change is most likely to achieve the goal?
Select an answer first
19application · medium
A company stores 100 TB of archival data in HDFS. They want to minimize storage cost while maintaining fault tolerance. Which approach is most effective?
Select an answer first
20application · medium
A Hadoop cluster experiences a NameNode failure. The cluster was not configured with high availability. What is the immediate consequence?
Select an answer first

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