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Cloudera CCA-470 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Hadoop and CDH Architecture | - Hadoop ecosystem components (HDFS, MapReduce) - CDH4 architecture overview and services |
| Topic 2: Upgrade and Migration (CDH4 focus) | - Upgrading CDH components - Compatibility and migration considerations |
| Topic 3: MapReduce and Job Management | - Job execution and scheduling - Troubleshooting failed jobs |
| Topic 4: Cluster Installation and Configuration | - Cluster setup and node management - Installing and configuring CDH4 components |
| Topic 5: Cluster Maintenance and Monitoring | - Monitoring cluster health and performance - Log analysis and debugging |
| Topic 6: HDFS Administration | - NameNode and DataNode management - HDFS architecture and data replication |
Cloudera Certified Administrator for Apache Hadoop CDH4 Upgrade Exam (CCAH) Sample Questions:
For a MapReduce job, on a cluster running MapReduce v1 (MRv1), what's the relationship between tasks and task templates?
- A. There are always at most as many tasks attempts as there are tasks.
- B. The developer sets the number of task attempts on job submission.
- C. There are always at least as many task attempts as there are tasks.
- D. There are always exactly as many task attempts as there are tasks.
In the context of configuring a Hadoop cluster for HDFS High Availability (HA), 'fencing' refers to:
- A. Isolating the cluster's master daemon to limit write access only to authorized clients.
- B. Isolating a failed NameNode from write access to the fsimage and edits files so that is cannot resume write operations if it recovers.
- C. Isolating the standby NameNode from write access to the fsimage and edits files.
- D. Isolating both HA NameNodes to prevent a client application from killing the NameNode daemons.
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Which two updates occur when a client application opens a stream to begin a file write on a cluster running MapReduce v1 (MRv1)?
- A. Once the write stream closes on the DataNode, the DataNode immediately initiates a black report to the NameNode.
- B. The metadata in RAM on the NameNode is updated.
- C. The metadata in the RAM on the NameNode is flushed to disk.
- D. The change is written to the edits file.
- E. The metadata in RAM on the NameNode is flushed disk.
- F. The change is written to the NameNode disk.
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What determines the number of Reduces that run a given MapReduce job on a cluster running MapReduce v1 (MRv1)?
- A. It is set by the Hadoop framework and is based on the number of InputSplits of the job.
- B. It is set and fixed by the cluster administrator in mapred-site.xml. The number set always run for any submitted job.
- C. It is set by the developer.
- D. It is set by the JobTracker based on the amount of intermediate data.
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Identify which two daemons typically run each slave node in a Hadoop cluster running MapReduce v1 (MRv1)
- A. DataNode
- B. NodeManager
- C. NameNode
- D. Secondary NameNode
- E. JobTracker
- F. TaskTracker
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