Cloudera CCA-410 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Security & Data Governance | 15% | - Data protection and backup - Authorization and permissions - Kerberos authentication |
| Hadoop Cluster Installation & Configuration | 30% | - MapReduce v1 configuration - CDH4 deployment - HDFS architecture and configuration - Network and OS tuning |
| HDFS Operations & High Availability | 20% | - HDFS High Availability (HA) - File system maintenance - Replication and block management - NameNode and DataNode management |
| Troubleshooting & Optimization | 10% | - Performance tuning - Job failure resolution - Common error diagnosis |
| Cluster Management & Monitoring | 25% | - Capacity and performance planning - Managing nodes and daemons - Monitoring health and logs - Starting/stopping services |
Cloudera Certified Administrator for Apache Hadoop CDH4 Sample Questions:
Question #1
How do you access the long messages a mapreduce application generates after you run it on your cluster?
A. You connect to the job tracker web UI and locate the details for your job this will include long messages
B. You remotely log in to any slave node in the cluster to browse your jobs log files in/var/log/hadoop/archive directly
C. You browse the currect working directory of the client machine from which You submitted the job
D. You browse the /logs directly in HDFS where all jobs log files as store
Question #2
You configure you cluster with HDFS High Availability (HA) using Quorum-Based storage. You do
not implement HDFS Federation.
What is the maximum number of NameNodes daemon you should run on you cluster in order to avoid a "split-brain" scenario with your NameNodes?
A. Two active NameNodes and one Standby NameNode
B. Two active NameNodes and two Standby NameNodes
C. Unlimited. HDFS High Availability (HA) is designed to overcome limitations on the number of NameNodes you can deploy.
D. One active NameNode and one Standby NameNode
Question #3
In the context of configuring a Hadoop cluster for HDFS High Availability (HA), 'fencing' refers to:
A. Isolating the standby NameNode from write access to the fsimage and edits files.
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 cluster's master daemon to limit write access only to authorized clients.
D. Isolating both HA NameNodes to prevent a client application from killing the NameNode daemons.
Question #4
Your cluster has 9 slave nodes. The cluster block size is set to 128 MB and it's replication factor set to three.
How will the hadoop framework distribute block writes from a reducer into HDFS from a reducer outputting a 300MB file?
A. The 9 blocks will be return to 3 nodes, such that each of the three get's one copy of each block
B. All 9 nodes will each receive exactly one block
C. Reducer don't write blocks into HDFS
D. The 9 blocks will be return randomly to the nodes; some may receive multiple blocks some may receive none
E. The node on which the reducer is running will receive one copy of the each block. The other replicas will be placed on other nodes in the cluster
Question #5
What additional capability does Ganglia provide to monitor a Hadoop?
A. Ability to monitor NameNode memory usage.
B. Ability to monitor the amount of free space on HDFS.
C. Ability to monitor processor utilization.
D. Ability to monitor free task slots.
E. Ability to monitor number of files in HDFS.
Solutions:
| Question #1 Correct Answer: C | Question #2 Correct Answer: D | Question #3 Correct Answer: B | Question #4 Correct Answer: D | Question #5 Correct Answer: A |
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