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Cloudera CCA-410 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Hadoop Cluster Installation & Configuration | 30% | - HDFS architecture and configuration - MapReduce v1 configuration - CDH4 deployment - Network and OS tuning |
| Topic 2: Cluster Management & Monitoring | 25% | - Capacity and performance planning - Managing nodes and daemons - Monitoring health and logs - Starting/stopping services |
| Topic 3: HDFS Operations & High Availability | 20% | - File system maintenance - HDFS High Availability (HA) - NameNode and DataNode management - Replication and block management |
| Topic 4: Security & Data Governance | 15% | - Data protection and backup - Authorization and permissions - Kerberos authentication |
| Topic 5: Troubleshooting & Optimization | 10% | - Job failure resolution - Performance tuning - Common error diagnosis |
Cloudera Certified Administrator for Apache Hadoop CDH4 Sample Questions:
1. In a cluster configured with HDFS High Availability (HA) but NOT HDFS federation, each map task run:
A) In the same Java Virtual Machine as the DataNode.
B) In the same Java Virtual Machine as the JobTracker.
C) In the same Java Virtual Machine as the TaskTracker
D) In its own Java Virtual Machine.
2. You set mapred.tasktracker.reduce.tasks.maximum to a value of 4 on a cluster running mapreduce v1 (MRv1). How many reducers will run for any given job?
A) a maximum of 4 reducer's, but the actual number of reducer's that run for any given job is based on the volume intermediate data.
B) The number of reducer's for any given job is set by the developer
C) Maximum of 4 reducers, but the actual number of reducers that run for any given job is based on the volume of input data
D) Four reducer's will run. Once set by the cluster administrator, this parameter can't be overridden
3. Identify which two daemons typically run each slave node in a Hadoop cluster running MapReduce v1 (MRv1)
A) Secondary NameNode
B) NodeManager
C) NameNode
D) TaskTracker
E) DataNode
F) JobTracker
4. You set the value of dfs.block.size to 64MB in hdfs-site.xml on a client machine, but you set the same property to 128MB on your clusters name node. What happens when the client writes a file to HDFS?
A) A block size of 128MB will be used
B) The file will be written successfully with a block size of 64MB but client attempting to read the file will fail because the namenode believes the blocks to be 128MB in size
C) A block size of 64MB will be used
D) An execution will be thrown when the client attempts to write the file, because the values are different.
5. Your Hadoop cluster contains nodes in three racks. Choose which scenario results if you leave the dfs.hosts property in the NameNode's configuration file empty (blank)?
A) No new can be added to the cluster until you specify them in the dfs.hosts file.
B) The NameNode will update dfs.hosts property to include machines running the DataNode daemon on the next NameNode reboot or with a dfsadmin -refreshNodes.
C) Presented with a blank dfs.hosts property, the NameNode will permit DataNodes specified in mapred.hosts to join the cluster.
D) Any machine running the DataNode daemon can immediately join the cluster.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A | Question # 3 Answer: D,E | Question # 4 Answer: C | Question # 5 Answer: A |








