Exam CCA-332 - Cloudera Certified Administrator for Apache Hadoop - Q&A

Sep 26, 2026

Uploaded by Franzy

Exam CCA-332 focuses on core concepts behind Hadoop operations and MapReduce scheduling. It tests how scheduling algorithms improve job completion efficiency, how monitoring coverage can still miss critical failures, and what specific component outages make HDFS unavailable. The questions also assess knowledge of HDFS availability assumptions in multi-rack clusters and clarify the relationship between JobTracker and TaskTracker roles within the Hadoop architecture.

LanguageEnglish

CategoryExam

FormatPDF

Pages4

Reading Time10 min

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Exam CCA-332

Scheduling algorithm functions

Monitoring gaps in a Hadoop cluster

Scenarios that make HDFS unavailable

Relationship between JobTrackers and TaskTrackers

HDFS data loss in multi-rack clusters

[Free-Online-Exams.com](Free-Online-Exams.com) WE OFFER FREE UPDATE SERVICES FOR ONE YEAR CLOUDERA Exam CCA-332 Cloudera Certified Administrator for Apache Hadoop CCAH Total Questions: 30 [Free-Online-Exams.com](Free-Online-Exams.com) -QUESTION NO : 1 Which of the following describe the functions of a scheduling algorithm? (Choose 4) A. Reduce the total amount of computation necessary to complete a job. B. Allow short Jobs to complete even when large, long jobs (consuming a lot of resources) arerunning. C. Support the implementation of service-level agreements for multiple cluster users. D. Allow multiple users to share clustersina predictable, policy-guided manner. E. Run jobs at periodic times of the day. F. Reduce job latencies in an environment withmultiple jobs of different sizes. Answer: A,D,E,F Explanation: -QUESTION NO : 2 You are running a Hadoop cluster with all monitoring facilities properly configured. Which scenario will go undetected? A. Map or reduce tasks that are stuck in an infinite loop. B. HDFS is almost full. C. The NameNode goes down. D. A DataNode is disconnectedfrom the cluster. E. MapReduce jobs that are causing excessive memory swaps. Answer: C Explanation: [Free-Online-Exams.com](Free-Online-Exams.com) -QUESTION NO : 3 Which of the following scenarios makes HDFS unavailable? A. JobTracker failure B. TaskTracker failure C. DataNode failure D. NameNode failure E. Secondary NameNode failure Answer: A Explanation: -QUESTION NO : 4 What's the relationship between JobTrackers and TaskTrackers? A. The JobTracker runs on a single master node and accepts MapReduce jobs from clients. ATaskTracker runs on every slave node and is responsible for managing actual map and reduce tasks. B. Everynodein the cluster runs both a JobTracker and a TaskTracker. The JobTrackers manage jobs, and the TaskTrackersare responsible for managing actual map and reduce tasks. C. TheTaskTrackers runs on a single master node and accepts MapReducejobs from clients. A JobTrackerruns on every slave node and is responsible for managing map and reduce tasks. D. TheJobTracker runs on a single master node, but forksaseparateinstance of itself for every client MapReducejob. A TaskTracker runs on every slave node and is responsible for managingactualmap and reduce tasks. [Free-Online-Exams.com](Free-Online-Exams.com) Answer: B Reference:[http://hadoop.apache.org/mapreduce/docs/r0.22.0/mapred_tutorial.html](http://hadoop.apache.org/mapreduce/docs/r0.22.0/mapred_tutorial.html)(Overview, 4th paragraph) -QUESTION NO : 5 Assuming a large, properly configured multi-rack Hadoop cluster, which scenario should not result in loss of HDFS data? A. Tenpercent ofDataNodes simultaneously fail. B. All DataNodes simultaneously fail. C. An entire rack fails. D. Multiple racks simultaneously fail. E. Seventy percentof DataNodes simultaneously fail. Answer: A Explanation: TO DOWNLOAD THE LATWST MOST UP-TO-DATE Q & A OF THIS EXAM PLEASE CLICK ON DOWNLOAD NOW DOWNLOAD NOW WE OFFER FREE UPDATE SERVICES FOR ONE YEAR

FAQs

Which functions can scheduling algorithms provide in Hadoop?

They can reduce total computation for job completion, support predictable policy-guided sharing across cluster users, enable periodic execution, and reduce job latencies across mixed job sizes.

In a properly configured Hadoop cluster, which scenario might go undetected?

When the NameNode goes down, the issue may go undetected despite monitoring facilities being properly configured.

What is the relationship between JobTrackers and TaskTrackers?

The JobTracker runs on a single master node and accepts MapReduce jobs from clients, while TaskTrackers run on slave nodes and manage the actual map and reduce tasks.

Sep 26, 2026

Uploaded by Franzy