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2021 Sep CCA-505 actual test
Q1. Which YARN daemon or service negotiates map and reduce Containers from the Scheduler, tracking their status and monitoring for progress?
A. ResourceManager
B. ApplicationMaster
C. NodeManager
D. ApplicationManager
Answer: B
Explanation: Reference: http://docs.hortonworks.com/HDPDocuments/HDP2/HDP-2.1-latest/bk_using-apache-hadoop/content/yarn_overview.html
Q2. 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
Q3. Your cluster has the following characteristics:
✑ A rack aware topology is configured and on
✑ Replication is not set to 3
✑ Cluster block size is set to 64 MB
Which describes the file read process when a client application connects into the cluster and requests a 50MB file?
A. The client queries the NameNode which retrieves the block from the nearest DataNode to the client and then passes that block back to the client.
B. The client queries the NameNode for the locations of the block, and reads from a random location in the list it retrieves to eliminate network I/O leads by balancing which nodes it retrieves data from at any given time.
C. The client queries the NameNode for the locations of the block, and reads all three copies. The first copy to complete transfer to the client is the one the client reads as part of Hadoop’s speculative execution framework.
D. The client queries the NameNode for the locations of the block, and reads from the first location in the list it receives.
Answer: A
Q4. Which YARN process runs as “controller O” of a submitted job and is responsible for resource requests?
A. ResourceManager
B. NodeManager
C. JobHistoryServer
D. ApplicationMaster
E. JobTracker
F. ApplicationManager
Answer: D
Q5. On a cluster running MapReduce v2 (MRv2) on YARN, a MapReduce job is given a directory of 10 plain text as its input directory. Each file is made up of 3 HDFS blocks. How many Mappers will run?
A. We cannot say; the number of Mappers is determined by the RsourceManager
B. We cannot say; the number of Mappers is determined by the ApplicationManager
C. We cannot say; the number of Mappers is determined by the developer
D. 30
E. 3
F. 10
Answer: E
Up to the minute CCA-505 brain dumps:
Q6. You are working on a project where you need to chain together MapReduce, Pig jobs. You also needs the ability to use forks, decision, and path joins. Which ecosystem project should you use to perform these actions?
A. Oozie
B. Zookeeper
C. HBase
D. Sqoop
E. HUE
Answer: A
Q7. Assume you have a file named foo.txt in your local directory. You issue the following three commands:
Hadoop fs –mkdir input
Hadoop fs –put foo.txt input/foo.txt
Hadoop fs –put foo.txt input
What happens when you issue that third command?
A. The write succeeds, overwriting foo.txt in HDFS with no warning
B. The write silently fails
C. The file is uploaded and stored as a plain named input
D. You get an error message telling you that input is not a directory
E. You get a error message telling you that foo.txt already exists. The file is not written to HDFS
F. You get an error message telling you that foo.txt already exists, and asking you if you would like to overwrite
G. You get a warning that foo.txt is being overwritten
Answer: E
Q8. You have converted your Hadoop cluster from a MapReduce 1 (MRv1) architecture to a 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 developer to implement?
A. Developers specify reduce tasks in the exact same way for both MapReduce version 1 (MRv1) and MapReduce version 2 (MRv2) on YARN. Thus, executing –p mapreduce.job.reduce-2 will specify 2 reduce tasks.
B. In YARN, the ApplicationMaster is responsible for requesting the resources required for a specific job. Thus, executing –p yarn.applicationmaster.reduce.tasks-2 will specify that the ApplicationMaster launch two task containers on the worker nodes.
C. In YARN, resource allocation is a function of megabytes of memory in multiple of 1024mb. Thus, they should specify the amount of memory resource they need by executing –D mapreduce.reduce.memory-mp-2040
D. In YARN, resource allocation is a function of virtual cores specified by the ApplicationMaster making requests to the NodeManager where a reduce task is handled by a single container (and this 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
E. 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.
Answer: D
Q9. You suspect that your NameNode is incorrectly configured, and is swapping memory to disk. Which Linux commands help you to identify whether swapping is occurring? (Select 3)
A. free
B. df
C. memcat
D. top
E. vmstat
F. swapinfo
Answer: A,D,E
Q10. You have a Hadoop cluster running HDFS, and a gateway machine external to the cluster from which clients submit jobs. What do you need to do in order to run on the cluster and
submit jobs from the command line of the gateway machine?
A. Install the impslad daemon, statestored daemon, and catalogd daemon on each machine in the cluster and on the gateway node
B. Install the impalad daemon on each machine in the cluster, the statestored daemon and catalogd daemon on one machine in the cluster, and the impala shell on your gateway machine
C. Install the impalad daemon and the impala shell on your gateway machine, and the statestored daemon and catalog daemon on one of the nodes in the cluster
D. Install the impalad daemon, the statestored daemon, the catalogd daemon, and the impala shell on your gateway machine
E. Install the impalad daemon, statestored daemon, and catalogd daemon on each machine in the cluster, and the impala shell on your gateway machine
Answer: B