CCA-500 Questions and Answers

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Cloudera Certified Administrator for Apache Hadoop (CCAH): CCA-500

Rating: 5.0

Vendor: Cloudera

Certifications: CCAH

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

Exam Code: CCA-500

Total Questions: 60 Q&As

Last Updated: May 24, 2023

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Same Questions from the Latest Real Exam

CCA-500 Online Practice Questions and Answers

Questions 1

For each YARN job, the Hadoop framework generates task log file. Where are Hadoop task log files stored?

A. Cached by the NodeManager managing the job containers, then written to a log directory on the NameNode

B. Cached in the YARN container running the task, then copied into HDFS on job completion

C. In HDFS, in the directory of the user who generates the job

D. On the local disk of the slave mode running the task

Show Answer
Questions 2

Which YARN daemon or service negotiations map and reduce Containers from the Scheduler, tracking their status and monitoring progress?

A. NodeManager

B. ApplicationMaster

C. ApplicationManager

D. ResourceManager

Show Answer
Questions 3

You have recently converted your Hadoop cluster from a MapReduce 1 (MRv1) architecture to MapReduce 2 (MRv2) on YARN architecture. Your developers are accustomed to specifying map and reduce tasks (resource allocation) tasks when they run jobs: A developer wants to know how specify to reduce tasks when a specific job runs. Which method should you tell that developers to implement?

A. MapReduce version 2 (MRv2) on YARN abstracts resource allocation away from the idea of "tasks" into memory and virtual cores, thus eliminating the need for a developer to specify the number of reduce tasks, and indeed preventing the developer from specifying the number of reduce tasks.

B. In YARN, resource allocations is a function of megabytes of memory in multiples of 1024mb. Thus, they should specify the amount of memory resource they need by executing D mapreducereduces.memory-mb-2048

C. In YARN, the ApplicationMaster is responsible for requesting the resource required for a specific launch. Thus, executing D yarn.applicationmaster.reduce.tasks=2 will specify that the ApplicationMaster launch two task contains on the worker nodes.

D. Developers specify reduce tasks in the exact same way for both MapReduce version 1 (MRv1) and MapReduce version 2 (MRv2) on YARN. Thus, executing D mapreduce.job.reduces-2 will specify reduce tasks.

E. In YARN, resource allocation is function of virtual cores specified by the ApplicationManager making requests to the NodeManager where a reduce task is handeled by a single container (and thus a single virtual core). Thus, the developer needs to specify the number of virtual cores to the NodeManager by executing p yarn.nodemanager.cpu-vcores=2

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Success Stories

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