CCA-505 : Cloudera Certified Administrator for Apache Hadoop (CCAH) CDH5 Upgrade Exam

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Cloudera Certified Administrator for Apache Hadoop (CCAH) CDH5 Upgrade 認定 CCA-505 試験問題:

1. 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) Yes. The daemon will receive data from the NameNode to run Map tasks
B) Yes. The daemon will get data from another (non-local) DataNode to run Map tasks
C) Yes. The daemon will receive Reduce tasks only

2. Assuming a cluster running HDFS, MapReduce version 2 (MRv2) on YARN with all settings at their default, what do you need to do when adding a new slave node to a cluster?

A) Restart the NameNode and ResourceManager deamons and resubmit any running jobs
B) Increase the value of dfs.number.of.needs in hdfs-site.xml
C) Add a new entry to /etc/nodes on the NameNode host.
D) Nothing, other than ensuring that DNS (or /etc/hosts files on all machines) contains am entry for the new node.
E) Restart the NameNode daemon.

3. 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) You cannot enforce this, since client code can always override this value.
B) 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.
C) 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.
D) 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.
E) 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.

4. Which two are Features of Hadoop's rack topology?

A) Rack location is considered in the HDFS block placement policy
B) HDFS is rack aware but MapReduce daemons are not
C) Even for small clusters on a single rack, configuring rack awareness will improve performance.
D) Hadoop gives preference to Intra rack data transfer in order to conserve bandwidth
E) Configuration of rack awareness is accomplished using a configuration file. You cannot use a rack topology script.

5. On a cluster running CDH 5.0 or above, you use the hadoop fs -put command to write a 300MB file into a previously empty directory using an HDFS block of 64MB. Just after this command has finished writing 200MB of this file, what would another use see when they look in the directory?

A) They will see the file with its original name. if they attempt to view the file, they will get a ConcurrentFileAccessException until the entire file write is completed on the cluster
B) They will see the file with a ._COPYING_extension on its name. If they attempt to view the file, they will get a ConcurrentFileAccessException until the entire file write is completed on the cluster.
C) The directory will appear to be empty until the entire file write is completed on the cluster
D) They will see the file with a ._COPYING_ extension on its name. if they view the file, they will see contents of the file up to the last completed block (as each 64MB block is written, that block becomes available)

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