Exam Code: CCA-500 (), Exam Name: Cloudera Certified Administrator for Apache Hadoop (CCAH), Certification Provider: Cloudera Certifitcation, Free Today! Guaranteed Training- Pass CCA-500 Exam.

Online CCA-500 free questions and answers of New Version:

NEW QUESTION 1
You have recently converted your Hadoop cluster from a MapReduce 1 (MRv1) architecture to 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 developers to implement?

  • A. 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.
  • B. In YARN, resource allocations is a function of megabytes of memory in multiples of 1024m
  • C. Thus, they should specify the amount of memory resource they need by executing –D mapreduce-reduces.memory-mb-2048
  • D. In YARN, the ApplicationMaster is responsible for requesting the resource required for a specific launc
  • E. Thus, executing –D yarn.applicationmaster.reduce.tasks=2 will specify that the ApplicationMaster launch two task contains on the worker nodes.
  • F. Developers specify reduce tasks in the exact same way for both MapReduce version 1 (MRv1) and MapReduce version 2 (MRv2) on YAR
  • G. Thus, executing –D mapreduce.job.reduces-2 will specify reduce tasks.
  • H. In YARN, resource allocation is function of virtual cores specified by the ApplicationManager making requests to the NodeManager where a reduce task is handeled by a single container (and thus 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

Answer: D

NEW QUESTION 2
On a cluster running MapReduce v2 (MRv2) on YARN, a MapReduce job is given a directory of 10 plain text files 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 ResourceManager
  • B. We cannot say; the number of Mappers is determined by the developer
  • C. 30
  • D. 3
  • E. 10
  • F. We cannot say; the number of mappers is determined by the ApplicationMaster

Answer: E

NEW QUESTION 3
Your cluster is configured with HDFS and MapReduce version 2 (MRv2) on YARN. What is the result when you execute: hadoop jar SampleJar MyClass on a client machine?

  • A. SampleJar.Jar is sent to the ApplicationMaster which allocates a container for SampleJar.Jar
  • B. Sample.jar is placed in a temporary directory in HDFS
  • C. SampleJar.jar is sent directly to the ResourceManager
  • D. SampleJar.jar is serialized into an XML file which is submitted to the ApplicatoionMaster

Answer: A

NEW QUESTION 4
Your Hadoop cluster is configuring with HDFS and MapReduce version 2 (MRv2) on YARN. Can you configure a worker node to run a NodeManager daemon but not a DataNode daemon and still have a functional cluster?

  • A. Ye
  • B. The daemon will receive data from the NameNode to run Map tasks
  • C. Ye
  • D. The daemon will get data from another (non-local) DataNode to run Map tasks
  • E. Ye
  • F. The daemon will receive Map tasks only
  • G. Ye
  • H. The daemon will receive Reducer tasks only

Answer: B

NEW QUESTION 5
Which scheduler would you deploy to ensure that your cluster allows short jobs to finish within a reasonable time without starting long-running jobs?

  • A. Complexity Fair Scheduler (CFS)
  • B. Capacity Scheduler
  • C. Fair Scheduler
  • D. FIFO Scheduler

Answer: C

Explanation: Reference:http://hadoop.apache.org/docs/r1.2.1/fair_scheduler.html

NEW QUESTION 6
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 to discover missing or corrupt data; there is not need because three replicas are kept for each data block

Answer: B

Explanation: Reference:https://twiki.grid.iu.edu/bin/view/Storage/HadoopRecovery

NEW QUESTION 7
Your cluster is running MapReduce version 2 (MRv2) on YARN. Your ResourceManager is configured to use the FairScheduler. Now you want to configure your scheduler such that a new user on the cluster can submit jobs into their own queue application submission. Which configuration should you set?

  • A. You can specify new queue name when user submits a job and new queue can be created dynamically if the property yarn.scheduler.fair.allow-undecleared-pools = true
  • B. Yarn.scheduler.fair.user.fair-as-default-queue = false and yarn.scheduler.fair.allow- undecleared-pools = true
  • C. You can specify new queue name when user submits a job and new queue can be created dynamically if yarn .schedule.fair.user-as-default-queue = false
  • D. You can specify new queue name per application in allocations.xml file and have new jobs automatically assigned to the application queue

Answer: A

NEW QUESTION 8
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

Answer: B

NEW QUESTION 9
You decide to create a cluster which runs HDFS in High Availability mode with automatic failover, using Quorum Storage. What is the purpose of ZooKeeper in such a configuration?

  • A. It only keeps track of which NameNode is Active at any given time
  • B. It monitors an NFS mount point and reports if the mount point disappears
  • C. It both keeps track of which NameNode is Active at any given time, and manages the Edits fil
  • D. Which is a log of changes to the HDFS filesystem
  • E. If only manages the Edits file, which is log of changes to the HDFS filesystem
  • F. Clients connect to ZooKeeper to determine which NameNode is Active

Answer: A

Explanation: Reference: Reference:http://www.cloudera.com/content/cloudera-content/cloudera-docs/CDH4/latest/PDF/CDH4-High-Availability-Guide.pdf(page 15)

NEW QUESTION 10
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 all that apply)

  • A. free
  • B. df
  • C. memcat
  • D. top
  • E. jps
  • F. vmstat
  • G. swapinfo

Answer: ADF

Explanation: Reference:http://www.cyberciti.biz/faq/linux-check-swap-usage-command/

NEW QUESTION 11
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

Answer: C

Explanation: Reference:https://www.inkling.com/read/hadoop-definitive-guide-tom-white-3rd/chapter- 10/hdfs

NEW QUESTION 12
You are running Hadoop cluster with all monitoring facilities properly configured. Which scenario will go undeselected?

  • A. HDFS is almost full
  • B. The NameNode goes down
  • C. A DataNode is disconnected from the cluster
  • D. Map or reduce tasks that are stuck in an infinite loop
  • E. MapReduce jobs are causing excessive memory swaps

Answer: B

NEW QUESTION 13
Identify two features/issues that YARN is designated to address:(Choose two)

  • A. Standardize on a single MapReduce API
  • B. Single point of failure in the NameNode
  • C. Reduce complexity of the MapReduce APIs
  • D. Resource pressure on the JobTracker
  • E. Ability to run framework other than MapReduce, such as MPI
  • F. HDFS latency

Answer: DE

Explanation: Reference:http://www.revelytix.com/?q=content/hadoop-ecosystem(YARN, first para)

NEW QUESTION 14
You want to understand more about how users browse your 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 across logs into your Hadoop cluster 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. Channel these clickstreams into Hadoop using Hadoop Streaming
  • D. Import all user clicks from your OLTP databases into Hadoop using Sqoop
  • E. Write a MapReeeduce job with the web servers for mappers and the Hadoop cluster nodes for reducers

Answer: B

Explanation: Apache Flume is a service for streaming logs into Hadoop.
Apache Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of streaming data into the Hadoop Distributed File System (HDFS). It has a simple and flexible architecture based on streaming data flows; and is robust and fault tolerant with tunable reliability mechanisms for failover and recovery.

NEW QUESTION 15
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

Answer: D

NEW QUESTION 16
Which YARN daemon or service monitors a Controller’s per-application resource using (e.g., memory CPU)?

  • A. ApplicationMaster
  • B. NodeManager
  • C. ApplicationManagerService
  • D. ResourceManager

Answer: A

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