We offers . "Cloudera Certified Administrator for Apache Hadoop (CCAH) CDH5 Upgrade Exam", also known as CCA-505 exam, is a Cloudera Certification. This set of posts, Passing the CCA-505 exam with , will help you answer those questions. The covers all the knowledge points of the real exam. 100% real and revised by experts!

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NEW QUESTION 1
You are planning a Hadoop cluster and considering implementing 10 Gigabit Ethernet as the network fabric. Which workloads benefit the most from a faster network fabric?

  • A. When your workload generates a large amount of output data, significantly larger than amount of intermediate data
  • B. When your workload generates a large amount of intermediate data, on the order of the input data itself
  • C. When workload consumers a large amount of input data, relative to the entire capacity of HDFS
  • D. When your workload consists of processor-intensive tasks

Answer: B

NEW QUESTION 2
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

NEW QUESTION 3
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 exist
  • F. The file is not written to HDFS
  • G. You get an error message telling you that foo.txt already exists, and asking you if you would like to overwrite
  • H. You get a warning that foo.txt is being overwritten

Answer: E

NEW QUESTION 4
Your cluster implements HDFS High Availability (HA). Your two NameNodes are named nn01 and nn02. What occurs when you execute the command: hdfs haadmin –failover nn01 nn02

  • A. nn02 becomes the standby NameNode and nn01 becomes the active NameNode
  • B. nn02 is fenced, and nn01 becomes the active NameNode
  • C. nn01 becomes the standby NamNode and nn02 becomes the active NAmeNode
  • D. nn01 is fenced, and nn02 becomes the active NameNode

Answer: D

Explanation: failover – initiate a failover between two NameNodes
This subcommand causes a failover from the first provided NameNode to the second. If the first NameNode is in the Standby state, this command simply transitions the second to the Active state without error. If the first NameNode is in the Active state, an attempt will be made to gracefully transition it to the Standby state. If this fails, the fencing methods (as configured by dfs.ha.fencing.methods) will be attempted in order until one of the methods succeeds. Only after this process will the second NameNode be transitioned to the Active state. If no fencing method succeeds, the second NameNode will not be transitioned to the Active state, and an error will be returned.

NEW QUESTION 5
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

NEW QUESTION 6
For each YARN Job, the Hadoop framework generates task log files. Where are Hadoop’s files stored?

  • A. In HDFS, In the directory of the user who generates the job
  • B. On the local disk of the slave node running the task
  • C. Cached In the YARN container running the task, then copied into HDFS on fob completion
  • D. Cached by the NodeManager managing the job containers, then written to a log directory on the NameNode

Answer: B

Explanation: Reference: http://hortonworks.com/blog/simplifying-user-logs-management-and-access-in- yarn/

NEW QUESTION 7
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

Explanation: Reference: http://hortonworks.com/blog/how-to-plan-and-configure-yarn-in-hdp-2-0/

NEW QUESTION 8
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: AB

NEW QUESTION 9
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

NEW QUESTION 10
Which Yarn daemon or service monitors a Container’s per-application resource usage (e.g, memory, CPU)?

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

Answer: A

Explanation: Reference: http://docs.hortonworks.com/HDPDocuments/HDP2/HDP-2.0.0.2/bk_using-apache-hadoop/content/ch_using-apache-hadoop-4.html (4th para)

NEW QUESTION 11
Your Hadoop cluster contains nodes in three racks. You have NOT configured the dfs.hosts property in the NameNode’s configuration file. What results?

  • A. No new nodes can be added to the cluster until you specify them in the dfs.hosts file
  • B. Presented with a blank dfs.hosts property, the NameNode will permit DatNode specified in mapred.hosts to join the cluster
  • C. Any machine running the DataNode daemon can immediately join the cluster
  • D. The NameNode will update the dfs.hosts property to include machine running DataNode daemon on the next NameNode reboot or with the command dfsadmin -refreshNodes

Answer: C

NEW QUESTION 12
You observe 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 100 MB. How would you tune your io.sort.mb value to achieve maximum memory to disk I/O ratio?

  • A. Decrease the io.sort.mb value to 0
  • B. Increase the io.sort.mb to 1GB
  • C. For 1GB child heap size an io.sort.mb of 128 MB will always maximize memory to disk I/O
  • 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

Answer: D

NEW QUESTION 13
Which is the default scheduler in YARN?

  • A. Fair Scheduler
  • B. FIFO Scheduler
  • C. Capacity Scheduler
  • D. YARN doesn’t configure a default schedule
  • E. You must first assign a appropriate scheduler class in yarn-site.xml

Answer: C

Explanation: Reference: http://hadoop.apache.org/docs/r2.3.0/hadoop-yarn/hadoop-yarn-site/FairScheduler.html

NEW QUESTION 14
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

NEW QUESTION 15
Your Hadoop cluster is configured 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 function 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 Reduce tasks only

Answer: A

NEW QUESTION 16
In CDH4 and later, which file contains a serialized form of all the directory and files inodes in the filesystem, giving the NameNode a persistent checkpoint of the filesystem metadata?

  • A. fstime
  • B. VERSION
  • C. Fsimage_N (Where N reflects all transactions up to transaction ID N)
  • D. Edits_N-M (Where N-M specifies transactions between transactions ID N and transaction ID N)

Answer: C

Explanation: Reference: http://mikepluta.com/tag/namenode/

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