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Cloudera CCA-410 Exam Syllabus Topics:
| Section | Objectives |
| Topic 1: Cluster Architecture and Installation | - CDH4 cluster planning and deployment
- 1. Node roles and cluster topology design
- 2. Installation and configuration of CDH components
- Cloudera Manager administration
- 1. Service deployment and management
- 2. Configuration best practices
|
| Topic 2: Security and User Management | - Authentication and authorization
- 1. Kerberos integration (if applicable)
- 2. HDFS permissions and ACLs
|
| Topic 3: MapReduce and Processing Framework | - MapReduce v1 execution model (CDH4)
- 1. JobTracker and TaskTracker management
- 2. Job scheduling and monitoring
|
| Topic 4: Cluster Monitoring and Troubleshooting | - Monitoring tools and logs
- 1. Cloudera Manager monitoring dashboards
- 2. Log analysis and diagnostics
- Performance tuning and optimization
- 1. Fault detection and recovery
- 2. Resource utilization optimization
|
| Topic 5: HDFS Management | - Data lifecycle operations
- 1. Data ingestion and movement
- 2. Backup and recovery strategies
- HDFS architecture and operations
- 1. NameNode and DataNode management
- 2. Replication and storage policies
|
Cloudera Certified Administrator for Apache Hadoop CDH4 Sample Questions:
1. 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) The FIFO Scheduler will give, on average, equal share of the cluster resources over the job lifecycle.
B) 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.
C) The order of execution of tasks within a job may vary.
D) 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.
E) Given Jobs A and B submitted in that order, all tasks from job A are guaranteed to finish before all tasks from job B.
F) Tasks are scheduled in the order of their jobs' submission.
2. What action occurs automatically on a cluster when a DataNode is marked as dead?
A) The replication factor of the files which had blocks stored on the dead DataNode is temporarily reduced, until the dead DataNode is recovered and returned to the cluster.
B) The NameNode forces re-replication of all the blocks which were stored on the dead DataNode.
C) The NameNode informs the client which write the blocks that are no longer available; the client then re-writes the blocks to a different DataNode.
D) The next time a client submits job that requires blocks from the dead DataNode, the JobTracker receives no heart beats from the DataNode. The JobTracker tells the NameNode that the DataNode is dead, which triggers block re-replication on the cluster.
3. Compare the hardware requirements of the NameNode with that of the DataNodes in a Hadoop cluster running MapReduce v1 (MRv1):
A) The NameNode requires more memory and requires greater disk capacity than the DataNodes.
B) The NameNode and DataNodes should the same hardware configuration.
C) The NameNode requires less memory and less disk capacity than the DataNodes.
D) The NameNode requires more memory and no disk drives.
E) The NameNode requires more memory but less disk capacity.
4. The most important consideration for slave nodes in a Hadoop cluster running production jobs that require short turnaround times is:
A) The ratio between the amount of memory and the number of disk drives.
B) The ratio between the number of processor cores and the amount of memory.
C) The ratio between the number of processor cores and total storage capacity.
D) The ratio between the number of processor cores and number of disk drives.
E) The ratio between the amount of memory and the total storage capacity.
5. Cluster Summary
45 files and directories, 12 blocks = 57 total. Heap Size is 15.31 MB / 193.38MB(7%)

Refer to the above screenshot.
You configure the Hadoop cluster with seven DataNodes and the NameNode's web UI displays the details shown in the exhibit.
What does this tells you?
A) One physical host crashed.
B) Your cluster has lost all HDFS data which had blocks stored on the dead DataNode.
C) The DataNode JVM on one host is not active.
D) The HDFS cluster is in the safe mode.
Solutions:
Question # 1 Answer: C,F | Question # 2 Answer: B | Question # 3 Answer: E | Question # 4 Answer: D | Question # 5 Answer: D |