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Cloudera CCA-410 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Cluster Architecture and Installation | - CDH4 cluster planning and deployment
|
| MapReduce and Processing Framework | - MapReduce v1 execution model (CDH4)
|
| Security and User Management | - Authentication and authorization
|
| Cluster Monitoring and Troubleshooting | - Performance tuning and optimization
|
| HDFS Management | - HDFS architecture and operations
|
Cloudera Certified Administrator for Apache Hadoop CDH4 Sample Questions:
Your company stores user profile records in an OLTP database. You want to join these records with webserver logs. You have already ingested into the hadoop file system. What is the best way to obtain and ingest these user records?
- A. Ingest with flume agents
- B. Ingest with hadoop streaming
- C. Ingest using hives LOAD DATA command
- D. Ingest with Pig's Load Command
- E. Ingest using the HDFS put command
- F. Ingest with SQL import
Correct Answer: A 🗳️
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What happens if a Mapper on one node goes into an infinite loop while running a MapReduce job?
- A. The job will immediately fail.
- B. After a period of time, the TaskTracker will kill the Map Task.
- C. The Mapper will run indefinitely; the TaskTracker must be restarted to kill it
- D. After a period of time, the JobTracker will restart the TaskTracker on the node on which the map task is running
Correct Answer: B 🗳️
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When planning a hadoop cluster, what general rule governs the hardware requirements between master nodes and slave nodes?
- A. The master nodes requires more memory but less disk capacity
- B. The master and slave nodes should have the same hardware configuration
- C. The master nodes requires more memory and no disk drives
- D. The master nodes require more memory and greater disk capacity then the slave nodes
- E. the master nodes requires less memory and fewer number disk drives than the slave nodes
Correct Answer: A 🗳️
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You have a cluster running with the fair scheduler enabled and configured. You submit multiple jobs to the cluster. Each job is assigned to a pool. What are the two key points to remember about how jobs are scheduled with the fair scheduler?
- A. Each pool gets 1/M of the total available tasks slots, where M is the no. of nodes in the cluster
- B. Each pools share of the tasks slots remains static within the execution of any individual job
- C. Each pool gets 1/N of the total available tasks slots, where N is the no of jobs running on the cluster
- D. Pools get a dynamically-allocated share of the available task slots (subject to additional constraints)
- E. Each pools share of task slots may change throughout the course of job execution
- F. Pools are assigned priorites.pools with higher priorities an executed b4 pools with lower priorities
Correct Answer: D,E 🗳️
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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.
Correct Answer: B 🗳️
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