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Cloudera CCA-410 Exam Syllabus Topics:

Cloudera Certified Administrator for Apache Hadoop CDH4 Sample Questions:

1. What is the best disk configuration for slave nodes in hadoop cluster where each node has 6x2TB drives?

A) A single Linux LVM (Logical volume Manager) volume
B) Three RAID 1 arrays
C) Six separate volumes
D) A RAID 5 array

2. Identify the function performed by the Secondary NameNode daemon on a cluster configured to run with a single NameNode.

A) In this configuration, the Secondary NameNode performs deal-time backups of the NameNode.
B) In this configuration, the Secondary NameNode is standby NameNode, ready to failover and provide high availability.
C) In this configuration, the Secondary NameNode servers as alternate data channel for clients to reach HDFS, should the NameNode become too busy.
D) In this configuration, the Secondary NameNode performs a checkpoint operation on the files by the NameNode.

3. How does HDFS Federation help HDFS Scale horizontally?

A) HDFS Federation reduces the load on any single NameNode by using the multiple, independent NameNode to manage individual pars of the filesystem namespace.
B) HDFS Federation allows the Standby NameNode to automatically resume the services of an active NameNode.
C) HDFS Federation improves the resiliency of HDFS in the face of network issues by removing the NameNode as a single-point-of-failure.
D) HDFS Federation provides cross-data center (non-local) support for HDFS, allowing a cluster administrator to split the Block Storage outside the local cluster.

4. What does CDH packaging do on install to facilitate Kerberos security setup?

A) Creates a set of pre-configured Kerberos keytab files and their permissions.
B) Automatically configure permissions for log files at $MAPPED_LOG_DIR/userlogs
C) Creates users for hdfs and mapreduce to facilitate role assignment.
D) Creates directories for temp, hdfs, and mapreduce with correct permissions.
E) Creates and configures you kdc with default cluster values.

5. In the execution of a MapReduce job, where does the mapper place the intermediate data in each map task?

A) The mapper stores the intermediate data on the underlying filesystem of the local disk of the machine which ran the map task
B) The mapper transfer the intermediate data immediately to the reducers as it is generated by map task.
C) The hadoop framework holds the intermediate data in the task trackers memory until it is transferred to the reducers
D) The mapper transfers the intermediate data to the jobtracker, which then sends it to the reducers

Solutions: