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Cloudera CCA-410 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: HDFS Management | - Data lifecycle operations
|
| Topic 2: Cluster Monitoring and Troubleshooting | - Performance tuning and optimization
|
| Topic 3: Cluster Architecture and Installation | - Cloudera Manager administration
|
| Topic 4: Security and User Management | - Authentication and authorization
|
| Topic 5: MapReduce and Processing Framework | - MapReduce v1 execution model (CDH4)
|
Cloudera Certified Administrator for Apache Hadoop CDH4 Sample Questions:
1. How many mappers required for a map reduce, job determine on a cluster running map reduce V1 (MRv1)?
A) the developer specifies the number in the job configuration
B) the jobtracker chooses the number based on no of available nodes
C) The number of mappers is calculated by namenode based on the number of HDFS blocks in the files
D) The number mappers is equal to no of input splits calculated by client submitting
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 servers as alternate data channel for clients to reach HDFS, should the NameNode become too busy.
B) In this configuration, the Secondary NameNode performs deal-time backups of the NameNode.
C) In this configuration, the Secondary NameNode is standby NameNode, ready to failover and provide high availability.
D) In this configuration, the Secondary NameNode performs a checkpoint operation on the files by the NameNode.
3. You configure your hadoop cluster with mapreduce V1 (MRv1) along with HDFS high availability (HA) Quorum-based storage. On which nodes should you configure and run your journal node daemon(s) to guarantee a quorum?
A) Namenode and standby namenode
B) Namenode, standby namenode and jobtracker
C) On each datanode
D) standby namenode
E) Namenode
F) Jobtracker
G) standby namenode, jobtracker, resourcemanager
4. Where does a MapReduce job store the intermediate data output from Mappers?
A) Stores on the underlying filesystem of the local disk of the machine on which the Reducer.
B) In HDFS, in temporary directory defined mapred.tmp.dir.
C) On the underlying filesystem of the local disk of the machine on which the Mapper ran.
D) On the underlying filesystem of the local disk machine on which the JobTracker ran.
E) In HDFS, in the job's output directory.
5. Choose which best describe a Hadoop cluster's block size storage parameters once you set the HDFS default block size to 64MB?
A) The block size of files in the duster will all at least be 64MB.
B) The block size of files in the Cluster will all be multiples of 64M
C) The block size of files in the cluster can be determined as the block is written.
D) The block size of files in the cluster will all be the exactly 64MB.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: D | Question # 3 Answer: G | Question # 4 Answer: C | Question # 5 Answer: D |
