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Last Updated: Jul 25, 2026
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| Section | Objectives |
|---|---|
| Cluster Installation and Upgrade (CDH4) | - Installation and configuration
|
| Security and Cluster Management | - Authentication and authorization
|
| Hadoop Cluster Architecture | - Core Hadoop components overview
|
| YARN and Resource Management | - Resource scheduling
|
| HDFS Administration | - Maintenance and troubleshooting
|
| Hadoop Ecosystem Tools | - Data ingestion tools
|
1. Your developers request that you enable them to use Hive on your Hadoop cluster. What do install and/or configure?
A) Install the Hive Interpreter on the client machines and all the slave nodes, and configure a shared remote Hive Metastore.
B) Install the Hive interpreter on the client machines only, and configure a shared remote Hive Metastore.
C) Install the Hive interpreter on the client machines and all nodes on the cluster
D) Install the Hive interpreter on the master node running the JobTracker, and configure a shared remote Hive Metastore.
2. For a MapReduce job, on a cluster running MapReduce v1 (MRv1), what's the relationship between tasks and task templates?
A) The developer sets the number of task attempts on job submission.
B) There are always exactly as many task attempts as there are tasks.
C) There are always at most as many tasks attempts as there are tasks.
D) There are always at least as many task attempts as there are tasks.
3. What do you need to do when adding new slave nodes to a cluster?
A) add the new node's DNS name to the conf/slaves file on the master node.
B) Add a new entry to /etc/slavenodes on the NameNode host.
C) Increase the value of dfs.number.of.nodes in hdfs-site.xml.
D) Halt and resubmit any running MapReduce jobs to guarantee correctness.
E) Restart the NameNode daemon.
4. What information is stored on disk on the NameNode? (Choose 4)
A) A catalog of DataNodes and the blocks that are stored on them.
B) An edit log of changes that have been made since the last backup of the NameNode.
C) The status of the heartbeats of each DataNode.
D) File permissions of the files in HDFS.
E) An edit log of changes that have been made since the last snapshot compaction by the Secondary NameNode.
F) The directory structure of the files in HDFS.
G) Names of the files in HDFS.
5. How does the HDFS architecture provide redundancy?
A) DataNodes make copies of their data blocks, and put them on different local disks.
B) Storing multiple replicas of data blocks on different DataNodes.
C) Reliance on RAID at each datanode.
D) Reliance on SAN devices as a DataNode interface.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: A,E,F,G | Question # 5 Answer: B |
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