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2021 Sep CCA-505 practice exam
Q21. You are running a Hadoop cluster with MapReduce version 2 (MRv2) on YARN. You consistently see that MapReduce map tasks on your cluster are running slowly because of excessive garbage collection of JVM, how do you increase JVM heap property to 3GB to optimize performance?
A. Yarn.application.child.java.opts-Xax3072m
B. Yarn.application.child.java.opts=-3072m
C. Mapreduce.map.java.opts=-Xmx3072m
D. Mapreduce.map.java.opts=-Xms3072m
Answer: C
Reference: http://hortonworks.com/blog/how-to-plan-and-configure-yarn-in-hdp-2-0/
Q22. You are configuring your cluster to run HDFS and MapReduce v2 (MRv2) on YARN. Which daemons need to be installed on your clusters master nodes? (Choose Two)
A. ResourceManager
B. DataNode
C. NameNode
D. JobTracker
E. TaskTracker
F. HMaster
Answer: A,C
Q23. Your cluster is configured with HDFS and MapReduce version 2 (MRv2) on YARN. What is the result when you execute: hadoop jar samplejar.jar MyClass on a client machine?
A. SampleJar.jar is sent to the ApplicationMaster which allocation a container for Sample.jar
B. SampleJar.Jar is serialized into an XML file which is submitted to the ApplicationMaster
C. SampleJar.Jar is sent directly to the ResourceManager
D. SampleJar.Jar is placed in a temporary directly in HDFS
Answer: A
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Q24. You have a 20 node Hadoop cluster, with 18 slave nodes and 2 master nodes running HDFS High Availability (HA). You want to minimize the chance of data loss in you cluster. What should you do?
A. Add another master node to increase the number of nodes running the JournalNode which increases the number of machines available to HA to create a quorum
B. Configure the cluster’s disk drives with an appropriate fault tolerant RAID level
C. Run the ResourceManager on a different master from the NameNode in the order to load share HDFS metadata processing
D. Run a Secondary NameNode on a different master from the NameNode in order to load provide automatic recovery from a NameNode failure
E. Set an HDFS replication factor that provides data redundancy, protecting against failure
Answer: C
Q25. You are upgrading a Hadoop cluster from HDFS and MapReduce version 1 (MRv1) to one running HDFS and MapReduce version 2 (MRv2) on YARN. You want to set and enforce a block of 128MB for all new files written to the cluster after the upgrade. What should you do?
A. Set dfs.block.size to 128M on all the worker nodes, on all client machines, and on the NameNode, and set the parameter to final.
B. Set dfs.block.size to 134217728 on all the worker nodes, on all client machines, and on the NameNode, and set the parameter to final.
C. Set dfs.block.size to 134217728 on all the worker nodes and client machines, and set the parameter to final. You do need to set this value on the NameNode.
D. Set dfs.block.size to 128M on all the worker nodes and client machines, and set the parameter to final. You do need to set this value on the NameNode.
E. You cannot enforce this, since client code can always override this value.
Answer: C
Q26. You want to understand more about how users browse you public website. For example, you want to know which pages they visit prior to placing an order. You have a server farm of 200 web servers hosting your website. Which is the most efficient process to gather these web server logs into your Hadoop cluster for analysis?
A. Sample the web server logs web servers and copy them into HDFS using curl
B. Ingest the server web logs into HDFS using Flume
C. Import all users clicks from your OLTP databases into Hadoop using Sqoop
D. Write a MApReduce job with the web servers from mappers and the Hadoop cluster nodes reducers
E. Channel these clickstream into Hadoop using Hadoop Streaming
Answer: A,B
Q27. Which process instantiates user code, and executes map and reduce tasks on a cluster running MapReduce V2 (MRv2) on YARN?
A. NodeManager
B. ApplicationMaster
C. ResourceManager
D. TaskTracker
E. JobTracker
F. DataNode
G. NameNode
Answer: E