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| Section | Objectives |
|---|---|
| Topic 1: HDFS Administration | - Storage maintenance
|
| Topic 2: Cluster Installation and Configuration | - CDH4 setup
|
| Topic 3: Data Processing Tools and Ecosystem | - Data ingestion and processing tools
|
| Topic 4: Hadoop Cluster Architecture (CDH4) | - Core Hadoop components
|
| Topic 5: Cluster Monitoring and Troubleshooting | - Fault diagnosis
|
| Topic 6: Security and Cluster Operations | - Security configuration
|
1. What does each block of a file contain where it is return into HDFS?
A) Each block contains only data from the file
B) Each block as a header containing metadata
C) Each block has a header and footer containing metadata
D) Each block writes a separate meta file containing information on the file name of which the block is a part
2. Your cluster Mode size is set to 128MB. A client application (client application A) is writing a 500MB file to HDFS. After client application A has written 300MB of data, another client (client application B) attempts to read the file. What is the effect of a second client requesting a file during a write?
A) Application B can read 256MB of the file
B) Client application B returns an error
C) Client application on B can read the 300MB that has been written so far.
D) Client application B must wait until the entire file has been written, and will then read its entire contents.
3. Your Hadoop cluster has 12 slave nodes, a block size set to 64MB, and a replication factor of three.
Choose which best describes how the Hadoop Framework distributes block writes into HDFS from a Reducer outputting a 150MB file?
A) The slave node on which the Reducer runs gets the first copy of every block written. Other block replicas will be placed on other nodes.
B) The Reducer will generate twelve blocks and write them to slave nodes nearest the node on which the Reducer runs.
C) The Reducer will generate nine blocks and write them randomly to nodes throughout the cluster.
D) Reducers don't write blocks into HDFS
4. On a cluster running MapReduce v1 (MRv1), the value of the mapred.tasktracker.map.tasks.maximum configuration parameter in the mapred-site.xml file should be set to:
A) Half the number of the maximum number of Reduce tasks which can run simultaneously on an individual node.
B) The maximum number of Map tasks can run simultaneously on an individual node.
C) Half the number of the maximum number of Reduce tasks which can run on the cluster as a whole.
D) The same value on each slave node.
E) The maximum number of Map tasks which can run on the cluster as a whole.
5. Each slave node in your cluster has four 2 TB hard drives installed (4x2TB). You set a value of the dfs.du.datanode.received parameter to 100GB on each slave node. How does this alter HDFS block storage?
A) 100 GB on each hard drive may not be used to store HDFS blocks
B) a maximum of 100GB on each hard drive may be used to store HDFS blocks
C) 25 GB on each hard drive may not be used to store HDFS Blocks
D) All Hard drives may be used to store HDFS blocks as long as at least 100GB in total is available on the node
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: B | Question # 5 Answer: A |
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