Cloudera Cloudera Certified Administrator for Apache Hadoop (CCAH) CCA-500 Exam Dumps: Updated Questions & Answers (October 2025)

When your workload generates a large amount of output data, significantly larger than the amount of intermediate data

When your workload consumes a large amount of input data, relative to the entire capacity if HDFS

When your workload consists of processor-intensive tasks

When your workload generates a large amount of intermediate data, on the order of the input data itself

nn02 is fenced, and nn01 becomes the active NameNode

nn01 is fenced, and nn02 becomes the active NameNode

nn01 becomes the standby NameNode and nn02 becomes the active NameNode

nn02 becomes the standby NameNode and nn01 becomes the active NameNode

Nothing, other than ensuring that the DNS (or/etc/hosts files on all machines) contains any entry for the new node.

Restart the NameNode and ResourceManager daemons and resubmit any running jobs.

Add a new entry to /etc/nodes on the NameNode host.

Restart the NameNode of dfs.number.of.nodes in hdfs-site.xml

Standardize on a single MapReduce API

Single point of failure in the NameNode

Reduce complexity of the MapReduce APIs

Resource pressure on the JobTracker

Ability to run framework other than MapReduce, such as MPI

HDFS latency

HDFS is almost full

The NameNode goes down

A DataNode is disconnected from the cluster

Map or reduce tasks that are stuck in an infinite loop

MapReduce jobs are causing excessive memory swaps

Delete the /dev/vmswap file on the node

Delete the /etc/swap file on the node

Set the ram.swap parameter to 0 in core-site.xml

Set vm.swapfile file on the node

Delete the /swapfile file on the node

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

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

Cached by the NodeManager managing the job containers, then written to a log directory on the NameNode

Cached in the YARN container running the task, then copied into HDFS on job completion

In HDFS, in the directory of the user who generates the job

On the local disk of the slave mode running the task

The NameNode will update the dfs.hosts property to include machines running the DataNode daemon on the next NameNode reboot or with the command dfsadmin –refreshNodes

No new nodes can be added to the cluster until you specify them in the dfs.hosts file

Any machine running the DataNode daemon can immediately join the cluster

Presented with a blank dfs.hosts property, the NameNode will permit DataNodes specified in mapred.hosts to join the cluster