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Home > Cloudera > Cloudera Certifications > CCA-500
Cloudera CCA-500  Exam Questions & Answers
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Cloudera CCA-500 Exam Questions & Answers


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  • Vendor: Cloudera

    Exam Code: CCA-500

    Exam Name: Cloudera Certified Administrator for Apache Hadoop (CCAH)

    Certification Provider: Cloudera

    Total Questions: 60 Q&A

    Updated on: Jun 12, 2025

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CCA-500 Online Practice Questions and Answers

Questions 1

You have a cluster running with the fair Scheduler enabled. There are currently no jobs running on the cluster, and you submit a job A, so that only job A is running on the cluster. A while later, you submit Job B. now Job A and Job B are running on the cluster at the same time. How will the Fair Scheduler handle these two jobs? (Choose two)

A. When Job B gets submitted, it will get assigned tasks, while job A continues to run with fewer tasks.

B. When Job B gets submitted, Job A has to finish first, before job B can gets scheduled.

C. When Job A gets submitted, it doesn't consumes all the task slots.

D. When Job A gets submitted, it consumes all the task slots.

Show Answer

Correct Answer: B

Questions 2

You are migrating a cluster from MApReduce version 1 (MRv1) to MapReduce version 2 (MRv2) on YARN. You want to maintain your MRv1 TaskTracker slot capacities when you migrate. What should you do/

A. Configure yarn.applicationmaster.resource.memory-mb and yarn.applicationmaster.resource.cpu-vcores so that ApplicationMaster container allocations match the capacity you require.

B. You don't need to configure or balance these properties in YARN as YARN dynamically balances resource management capabilities on your cluster

C. Configure mapred.tasktracker.map.tasks.maximum and mapred.tasktracker.reduce.tasks.maximum ub yarn-site.xml to match your cluster's capacity set by the yarn-scheduler.minimum-allocation

D. Configure yarn.nodemanager.resource.memory-mb and yarn.nodemanager.resource.cpu- vcores to match the capacity you require under YARN for each NodeManager

Show Answer

Correct Answer: D

Questions 3

A user comes to you, complaining that when she attempts to submit a Hadoop job, it fails. There is a Directory in HDFS named /data/input. The Jar is named j.jar, and the driver class is named DriverClass.

She runs the command:

Hadoop jar j.jar DriverClass /data/input/data/output

The error message returned includes the line: PriviligedActionException as:training (auth:SIMPLE) cause:org.apache.hadoop.mapreduce.lib.input.invalidInputException: Input path does not exist: file:/data/input

What is the cause of the error?

A. The user is not authorized to run the job on the cluster

B. The output directory already exists

C. The name of the driver has been spelled incorrectly on the command line

D. The directory name is misspelled in HDFS

E. The Hadoop configuration files on the client do not point to the cluster

Show Answer More Questions

Correct Answer: A

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