CCA-500 Exam Dumps - Cloudera CCAH Questions and Answers

Run hdfs fs –du / and locate the DFS Remaining value

Run hdfs dfsadmin –report and locate the DFS Remaining value

Run hdfs dfs / and subtract NDFS Used from configured Capacity

Connect to http://mynamenode:50070/dfshealth.jsp and locate the DFS remaining value

YARN doesn’t configure a default scheduler, you must first assign an appropriate scheduler class in yarn-site.xml

Capacity Scheduler

Fair Scheduler

FIFO Scheduler

Modify yarn-site.xml with the following property:

yarn.scheduler.minimum-allocation-mb

2048

Modify yarn-sites.xml with the following property:

yarn.scheduler.minimum-allocation-mb

4096

Modify yarn-site.xml with the following property:

yarn.nodemanager.resource.cpu-vccores

No action is needed: YARN’s dynamic resource allocation automatically optimizes the node memory and cores

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.

The client queries the NameNode for the locations of the block, and reads from the first location in the list it receives.

The client queries the NameNode for the locations of the block, and reads from a random location in the list it receives to eliminate network I/O loads by balancing which nodes it retrieves data from any given time.

The client queries the NameNode which retrieves the block from the nearest DataNode to the client then passes that block back to the client.

You must modify the configuration files on the NameNode only. DataNodes read their configuration from the master nodes

You must modify the configuration files on each of the DataNodes machines

You don’t need to restart any daemon, as they will pick up changes automatically

You must restart the NameNode daemon to apply the changes to the cluster

You must restart all six DatNode daemon to apply the changes to the cluster

You cannot enforce this, since client code can always override this value

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

Set dfs.block.size to 128 M on all the worker nodes and client machines, and set the parameter to final. You do not need to set this value on the NameNode

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

Set dfs.block.size to 134217728 on all the worker nodes and client machines, and set the parameter to final. You do not need to set this value on the NameNode

4 GB

17.2 GB

8.9 GB

8.2 GB

24.6 GB

Sample the web server logs web servers and copy them into HDFS using curl

Ingest the server web logs into HDFS using Flume

Channel these clickstreams into Hadoop using Hadoop Streaming

Import all user clicks from your OLTP databases into Hadoop using Sqoop

Write a MapReeeduce job with the web servers for mappers and the Hadoop cluster nodes for reducers

NodeManager

ApplicationMaster

ApplicationManager

ResourceManager