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Cloudera CCA-410 Exam Syllabus Topics:

Section	Objectives
Hadoop Cluster Architecture (CDH4)	- Cluster roles and services 1. JobTracker and TaskTracker operations 2. NameNode, Secondary NameNode, DataNode roles - Core Hadoop components 1. HDFS architecture and data replication 2. MapReduce v1 job execution model
Cluster Installation and Configuration	- Service configuration 1. Resource allocation and basic tuning 2. HDFS and MapReduce configuration tuning - CDH4 setup 1. Cluster provisioning and node configuration 2. Installation of Cloudera Manager components
Cluster Monitoring and Troubleshooting	- System monitoring 1. Using Cloudera Manager monitoring tools 2. Log analysis and alert management - Fault diagnosis 1. Performance bottleneck identification 2. Node failure recovery procedures
Data Processing Tools and Ecosystem	- Query and workflow tools 1. Oozie workflow scheduling basics 2. Hive query execution and management - Data ingestion and processing tools 1. Flume data ingestion pipelines 2. Sqoop data import/export
HDFS Administration	- Storage maintenance 1. Data replication and block management 2. Safe mode and recovery operations - Filesystem management 1. Permissions and ownership management 2. HDFS commands and file operations
Security and Cluster Operations	- Operational maintenance 1. Upgrades and patch management 2. Backup and restore strategies - Security configuration 1. Kerberos authentication basics 2. User and permission management

Cloudera Certified Administrator for Apache Hadoop CDH4 Sample Questions:

Question #1

How many mappers required for a map reduce, job determine on a cluster running map reduce V1 (MRv1)?

A. the jobtracker chooses the number based on no of available nodes
B. the developer specifies the number in the job configuration
C. The number mappers is equal to no of input splits calculated by client submitting
D. The number of mappers is calculated by namenode based on the number of HDFS blocks in the files

Answer: D

Explanation: Only visible for Test4Engine members. You can sign-up / login (it's free).

Question #2

Using cloudera manager on CDH4 cluster running mapreduce V1(MRv1), you delete a tasktracker role instance from a host that also a runs a datanode role instance and a region server role instance.cloudera
Manager make changes to the cluster and prompts you to the accept the changes.
What other configuration option will cloudera manager automatically prompt you to change?

A. the option to specify an alternate slave host to place the received data node role instance
B. the option to immediately rebalance the cluster
C. The option to failover to the instance by namenode
D. The option to change java maximum heap sizes for the other role instances

Answer: A

Question #3

Which two features does Kerberos security add to a Hadoop cluster?

A. Encryption for data on disk ("at rest")
B. User authentication on all remote procedure calls (RPcs)
C. Encryption on all remote procedure calls (RPCs)
D. Root access to the cluster for users hdfs and mapred but non-root acess clients
E. Authentication for user access to the cluster against a central server

Answer: B,E

Explanation: Only visible for Test4Engine members. You can sign-up / login (it's free).

Question #4

Your developers request that you enable them to use Hive on your Hadoop cluster. What do install and/or configure?

A. Install the Hive interpreter on the client machines and all nodes on the cluster
B. Install the Hive interpreter on the client machines only, and configure a shared remote Hive Metastore.
C. Install the Hive Interpreter on the client machines and all the slave nodes, and configure a shared remote Hive Metastore.
D. Install the Hive interpreter on the master node running the JobTracker, and configure a shared remote Hive Metastore.

Answer: B

Explanation: Only visible for Test4Engine members. You can sign-up / login (it's free).

Question #5

You have a cluster running with the fair scheduler enabled and configured. You submit multiple jobs to the cluster. Each job is assigned to a pool. What are the two key points to remember about how jobs are scheduled with the fair scheduler?

A. Pools get a dynamically-allocated share of the available task slots (subject to additional constraints)
B. Each pools share of the tasks slots remains static within the execution of any individual job
C. Pools are assigned priorites.pools with higher priorities an executed b4 pools with lower priorities
D. Each pool gets 1/M of the total available tasks slots, where M is the no. of nodes in the cluster
E. Each pools share of task slots may change throughout the course of job execution
F. Each pool gets 1/N of the total available tasks slots, where N is the no of jobs running on the cluster

Answer: A,E

Explanation: Only visible for Test4Engine members. You can sign-up / login (it's free).