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Cloudera CCA-470 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: HDFS Administration | - HDFS architecture and data replication - NameNode and DataNode management |
| Topic 2: MapReduce and Job Management | - Job execution and scheduling - Troubleshooting failed jobs |
| Topic 3: Upgrade and Migration (CDH4 focus) | - Compatibility and migration considerations - Upgrading CDH components |
| Topic 4: Cluster Installation and Configuration | - Installing and configuring CDH4 components - Cluster setup and node management |
| Topic 5: Cluster Maintenance and Monitoring | - Monitoring cluster health and performance - Log analysis and debugging |
| Topic 6: Hadoop and CDH Architecture | - CDH4 architecture overview and services - Hadoop ecosystem components (HDFS, MapReduce) |
Cloudera Certified Administrator for Apache Hadoop CDH4 Upgrade Exam (CCAH) Sample Questions:
1. Which daemon spawns child JVMs to perform MapReduce processing?
A) DataNode
B) NameNode
C) JobTracker
D) TaskTracker
E) Secondary NameNode
2. What action occurs automatically on a cluster when a DataNode is marked as dead?
A) The NameNode forces re-replication of all the blocks which were stored on the dead DataNode.
B) 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.
C) 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.
D) 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.
3. Identify which two daemons typically run each slave node in a Hadoop cluster running MapReduce v1 (MRv1)
A) DataNode
B) NameNode
C) JobTracker
D) TaskTracker
E) NodeManager
F) Secondary NameNode
4. Which of the following describe the functions of a scheduling algorithm? (Choose 4)
A) Reduce the total amount of computation necessary to complete a job.
B) Reduce job latencies in an environment with multiple jobs of different sizes.
C) Run jobs at periodic times of the day.
D) Allow multiple users to share clusters in a predictable, policy-guided manner.
E) Allow short Jobs to complete even when large, long jobs (consuming a lot of resources) are running.
F) Support the implementation of service-level agreements for multiple cluster users.
5. What is the standard configuration of slave nodes in a Hadoop cluster?
A) Each slave node runs a TaskTracker and a DataNode daemon.
B) Each slave node runs a JobTracker and a DataNode daemon.
C) Each slave node runs a DataNode daemon, but only a fraction of the slave nodes run TaskTrackers.
D) Each slave node either runs a TaskTracker or a DataNode daemon, but not both.
E) Each slave node runs a TaskTracker, but only a fraction of the slave nodes run DataNode daemons.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A | Question # 3 Answer: A,D | Question # 4 Answer: A,B,C,D | Question # 5 Answer: A |







