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| Section | Objectives |
|---|---|
| Topic 1: Cluster Installation and Configuration | - CDH4 setup
|
| Topic 2: Security and Cluster Operations | - Security configuration
|
| Topic 3: Data Processing Tools and Ecosystem | - Query and workflow tools
|
| Topic 4: Hadoop Cluster Architecture (CDH4) | - Core Hadoop components
|
| Topic 5: HDFS Administration | - Storage maintenance
|
| Topic 6: Cluster Monitoring and Troubleshooting | - Fault diagnosis
|
1. 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 developer.
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 Hadoop framework and is based on the number of InputSplits of the job.
D) It is set by the JobTracker based on the amount of intermediate data.
2. What occurs when you run a hadoop job specifying output directory for job output which already exists in HDFS?
A) An error will occur immediately because the output directory must not already exist.
B) the job will run successfully output from the reducers will be placed in a directory called job output -1
C) the job will run successfully. Output from the reducers will override the contents of existing directory
D) an error will occur after the mappers have completed but before any reducers begin to run because the output path must not exist during the shuffle and sort.
3. Where does a MapReduce job store the intermediate data output from Mappers?
A) In HDFS, in the job's output directory.
B) On the underlying filesystem of the local disk of the machine on which the Mapper ran.
C) Stores on the underlying filesystem of the local disk of the machine on which the Reducer.
D) On the underlying filesystem of the local disk machine on which the JobTracker ran.
E) In HDFS, in temporary directory defined mapred.tmp.dir.
4. Which three file actions can execute as you write a file into HDFS?
A) You can delete the file
B) You can rename the file
C) You can move the file
D) You can index the file
E) You can update the files contents
5. Which three distcp features can you utilize on a Hadoop cluster?
A) Use distcp to copy data between directories inside the same cluster.
B) Use distcp to copy files only between two clusters or more. You cannot use distcp to copy data between directories inside the same cluster.
C) Use distcp to copy physical blocks from the source to the target destination in your cluster.
D) Use distcp to copy HBase table files.
E) Use distcp to run an internal MapReduce job to copy files.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: B | Question # 4 Answer: A,B,C | Question # 5 Answer: A,D,E |
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