Cloudera CCAH CCA-505

近年に、Cloudera CCA-505 「Cloudera Certified Administrator for Apache Hadoop (CCAH) CDH5 Upgrade Exam」 認定試験は重要なコンピュータ能力認定試験になっています。Cloudera 国際認証資格取得者になったら、求職がもっと易く、高給料も当たり前です！

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CCA-505オンライン版は Windows / Mac / Android / iOS 対応です。

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

1. What processes must you do if you are running a Hadoop cluster with a single NameNode and six DataNodes, and you want to change a configuration parameter so that it affects all six DataNodes.

A) You don't need to restart any daemon, as they will pick up changes automatically
B) You must modify the configuration file on each of the six DataNode machines.
C) You must modify the configuration files on the NameNode only. DataNodes read their configuration from the master nodes.
D) You must restart the NameNode daemon to apply the changes to the cluster
E) You must restart all six DatNode daemon to apply the changes to the cluste

2. ---
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 for the locations of the block, and reads from the first location in the list it receives.
B) 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.
C) 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.
D) 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.

3. 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) Presented with a blank dfs.hosts property, the NameNode will permit DatNode specified in mapred.hosts to join the cluster
B) Any machine running the DataNode daemon can immediately join the cluster
C) 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
D) No new nodes can be added to the cluster until you specify them in the dfs.hosts file

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

5. 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 134217728 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 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.
C) You cannot enforce this, since client code can always override this value.
D) 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.
E) 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.

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