Cloudera CCA-500 - Cloudera Certified Administrator for Apache Hadoop (CCAH) Exam
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Total 60 questions
Question #1 (Topic: )
Which command does Hadoop offer to discover missing or corrupt HDFS data?
A. Hdfs fs –du
B. Hdfs fsck
C. Dskchk
D. The map-only checksum
E. Hadoop does not provide any tools todiscover missing or corrupt data; there is not need because three replicas are kept for each data block
Answer: B
Question #2 (Topic: )
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/
(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 dont 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 clusters 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 yourequire under YARN for each NodeManager
Answer: D
Question #3 (Topic: )
Which YARN daemon or service negotiations map and reduce Containers from the
Scheduler, tracking their status and monitoring progress?
Scheduler, tracking their status and monitoring progress?
A. NodeManager
B. ApplicationMaster
C. ApplicationManager
D. ResourceManager
Answer: B
Question #4 (Topic: )
You are running a Hadoop cluster with MapReduce version 2 (MRv2) on YARN. You
consistently see that MapReducemap tasks on your cluster are running slowly because of
excessive garbage collection of JVM, how do you increase JVM heap size property to 3GB
to optimize performance?
consistently see that MapReducemap tasks on your cluster are running slowly because of
excessive garbage collection of JVM, how do you increase JVM heap size property to 3GB
to optimize performance?
A. yarn.application.child.java.opts=-Xsx3072m
B. yarn.application.child.java.opts=-Xmx3072m
C. mapreduce.map.java.opts=-Xms3072m
D. mapreduce.map.java.opts=-Xmx3072m
Answer: C
Question #5 (Topic: )
You have a cluster running with a FIFO scheduler enabled. You submit a large job A to the
cluster, which you expect to run for one hour. Then, you submit job B to the cluster, which
you expect to run a couple of minutes only.
You submit both jobs with the same priority.
Which two best describes how FIFO Scheduler arbitrates the cluster resources for job and
its tasks? (Choose two)
cluster, which you expect to run for one hour. Then, you submit job B to the cluster, which
you expect to run a couple of minutes only.
You submit both jobs with the same priority.
Which two best describes how FIFO Scheduler arbitrates the cluster resources for job and
its tasks? (Choose two)
A. Because there is a more than a single job on thecluster, the FIFO Scheduler will enforce a limit on the percentage of resources allocated to a particular job at any given time
B. Tasks are scheduled on the order of their job submission
C. The order of execution of job may vary
D. Given job A and submitted in that order, all tasks from job A are guaranteed to finish before all tasks from job B
E. The FIFO Scheduler will give, on average, and equal share of the cluster resources over the job lifecycle
F. The FIFO Scheduler will pass an exception back to the client when Job B is submitted, since all slots on the cluster are use
Answer: A,D
