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Exam Code: CCA-500
Exam Name: Cloudera Certified Administrator for Apache Hadoop (CCAH)
Updated: Feb 26, 2017
Q&As: 60
Exam Information: https://www.pass4itsure.com/cca-500.html
  Printable PDF Google Drive: https://drive.google.com/open?id=0BwxjZr-ZDwwWWUI3ek83UTBfNDg

2017 Cloudera CCA-500 PDF Files (#1-10) From Pass4itsure:

QUESTION 1
Your cluster’s mapred-start.xml includes the following parameters
mapreduce.map.memory.mb
4096
mapreduce.reduce.memory.mb
8192
And any cluster’s yarn-site.xml includes the following parameters
yarn.nodemanager.vmen-pmen-ration
2.1
What is the maximum amount of virtual memory allocated for each map task before YARN will kill its
Container?
A. 4 GB
B. 17.2 GB
C. 8.9 GB
D. 8.2 GB
E. 24.6 GB
Correct Answer: D

QUESTION 2
Assuming you’re not running HDFS Federation, what is the maximum number of NameNode daemons you
should run on your cluster in order to avoid a “split-brain” scenario with your NameNode when running
HDFS High Availability (HA) using Quorum-based storage?
A. Two active NameNodes and two Standby NameNodes
B. One active NameNode and one Standby NameNode
C. Two active NameNodes and on Standby NameNode
D. Unlimited. HDFS High Availability (HA) is designed to overcome limitations on the number of
NameNodes you can deploy
Correct Answer: B

QUESTION 3
Table schemas in Hive are:
A. Stored as metadata on the NameNode
B. Stored along with the data in HDFS
C. Stored in the Metadata
D. Stored in ZooKeeper
Correct Answer: B

QUESTION 4
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
Correct Answer: D

QUESTION 5
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.
Correct Answer: B

QUESTION 6
Each node in your Hadoop cluster, running YARN, has 64GB memory and 24 cores. Your yarn.site.xml
has the following configuration:
yarn.nodemanager.resource.memory-mb
32768
yarn.nodemanager.resource.cpu-vcores
12
You want YARN to launch no more than 16 containers per node. What should you do?
A. Modify yarn-site.xml with the following property:
yarn.scheduler.minimum-allocation-mb
2048
B. Modify yarn-sites.xml with the following property:
yarn.scheduler.minimum-allocation-mb
4096
C. Modify yarn-site.xml with the following property:
yarn.nodemanager.resource.cpu-vccores
D. No action is needed: YARN’s dynamic resource allocation automatically optimizes the node memory
and cores
Correct Answer: A

QUESTION 7
You want to node to only swap Hadoop daemon data from RAM to disk when absolutely necessary. What
should you do?
A. Delete the /dev/vmswap file on the node
B. Delete the /etc/swap file on the node
C. Set the ram.swap parameter to 0 in core-site.xml
D. Set vm.swapfile file on the node
E. Delete the /swapfile file on the node
Correct Answer: D

QUESTION 8
You are configuring your cluster to run HDFS and MapReducer v2 (MRv2) on YARN. Which two daemons
needs to be installed on your cluster’s master nodes? (Choose two)
A. HMaster
B. ResourceManager
C. TaskManager
D. JobTracker
E. NameNode
F. DataNode
Correct Answer: BE

QUESTION 9
You observed that the number of spilled records from Map tasks far exceeds the number of map output
records. Your child heap size is 1GB and your io.sort.mb value is set to 1000MB. How would you tune your
io.sort.mb value to achieve maximum memory to disk I/O ratio?
A. For a 1GB child heap size an io.sort.mb of 128 MB will always maximize memory to disk I/O
B. Increase the io.sort.mb to 1GB
C. Decrease the io.sort.mb value to 0
D. Tune the io.sort.mb value until you observe that the number of spilled records equals (or is as close to
equals) the number of map output records.
Correct Answer: D

QUESTION 10
You are running a Hadoop cluster with a NameNode on host mynamenode, a secondary NameNode on
host mysecondarynamenode and several DataNodes.
Which best describes how you determine when the last checkpoint happened?
A. Execute hdfs namenode report on the command line and look at the Last Checkpoint information
B. Execute hdfs dfsadmin saveNamespace on the command line which returns to you the last checkpoint
value in fstime file
C. Connect to the web UI of the Secondary NameNode (http://mysecondary:50090/) and look at the “Last
Checkpoint” information
D. Connect to the web UI of the NameNode (http://mynamenode:50070) and look at the “Last Checkpoint”
information
Correct Answer: C

CCAHCCA-500 Exam Questions

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