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Cloudera CCA-470 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Cluster Administration & Operations | 25% | - Monitoring CDH4 clusters and services - Troubleshooting common CDH4 issues - Managing resources with YARN schedulers |
| CDH4 Architecture & New Features | 25% | - YARN architecture and resource management - MapReduce v2 vs MapReduce v1 differences - HDFS high availability enhancements |
| Cluster Maintenance & Upgrades | 10% | - Backup and recovery procedures - Performing rolling upgrades |
| Installation & Configuration | 25% | - Upgrading clusters from CDH3 to CDH4 - Cloudera Manager integration and configuration - Configuring core services in CDH4 |
| Security & Data Management | 15% | - Security enhancements in CDH4 - HDFS optimization and maintenance - Data ingestion with Flume and Sqoop |
Cloudera Certified Administrator for Apache Hadoop CDH4 Upgrade Exam (CCAH) Sample Questions:
Question 1
Which two updates occur when a client application opens a stream to begin a file write on a cluster running MapReduce v1 (MRv1)?
A. The change is written to the edits file.
B. The metadata in RAM on the NameNode is updated.
C. The change is written to the NameNode disk.
D. The metadata in RAM on the NameNode is flushed disk.
E. Once the write stream closes on the DataNode, the DataNode immediately initiates a black report to the NameNode.
F. The metadata in the RAM on the NameNode is flushed to disk.
Question 2
You configure Hadoop cluster with both MapReduce frameworks, MapReduce v1 (MRv1) and MapReduce v2 (MRv2/YARN). Which two MapReduce (computational) daemons do you need to configure to run on your master nodes?
A. JobTracker
B. ResourceManager
C. NodeManager
D. ApplicationMaster
E. JournalNode
Question 3
On a cluster running MapReduce v1 (MRv1), a MapReduce job is given a directory of 10 plain text as its input directory. Each file is made up of 3 HDFS blocks. How many Mappers will run?
A. We cannot say; the number of Mappers is determined by the developer
B. 10
C. 30
D. 1
Question 4
You are running a Hadoop cluster with NameNode on host mynamenode, a secondary NameNode on host mysecondary and DataNodes.
Which best describes how you determine when the last checkpoint happened?
A. Execute hdfs dfsadmin -report on the command line in and look at the Last Checkpoint information.
B. Execute hdfs dfsadmin -saveNameSpace on the command line which returns to you the last checkpoint value in fstime file.
C. Connect to the web UI of the Secondary NameNode (http://mysecondarynamenode:50090) and look at the "Last Checkpoint" information
D. Connect to the web UI of the NameNode (http://mynamenode:50070/) and look at the "Last Checkpoint" information
Question 5
You have cluster running with the FIFO Scheduler enabled. You submit a large job A to the cluster, which you expect to run for one hour. Then, you submit job B to cluster, which you expect to run a couple of minutes only.
You submit both jobs with the same priority.
Which two best describes how the FIFO Scheduler arbitrates the cluster resources for a job and its tasks?
A. Because there is more then a single job on the cluster, the FIFO Scheduler will enforce a limit on the percentage of resources allocated to a particular job at any given time.
B. Given Jobs A and B submitted in that order, all tasks from job A are guaranteed to finish before all tasks from job B.
C. The order of execution of tasks within a job may vary.
D. Tasks are scheduled in the order of their jobs' submission.
E. The FIFO Schedule will pass an exception back to the client when Job B is submitted, since all slots on the cluster are in use.
F. The FIFO Scheduler will give, on average, equal share of the cluster resources over the job lifecycle.
Solutions:
| Question 1 Answer: A,D | Question 2 Answer: B,D | Question 3 Answer: C | Question 4 Answer: C | Question 5 Answer: B,D |




