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Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. You need to import a portion of a relational database every day as files to HDFS, and generate Java classes to Interact with your imported data. Which of the following tools should you use to accomplish this?

A) fuse-dfs
B) Hive
C) Flume
D) Pig
E) Sqoop
F) Hue
G) Oozie

2. What is the standard configuration of slave nodes in a Hadoop cluster?

A) Each slave node runs a JobTracker and a DataNode daemon.
B) Each slave node runs a TaskTracker and a DataNode daemon.
C) Each slave node runs a DataNode daemon, but only a fraction of the slave nodes run TaskTrackers.
D) Each slave node runs a TaskTracker, but only a fraction of the slave nodes run DataNode daemons.
E) Each slave node either runs a TaskTracker or a DataNode daemon, but not both.

3. Which of the following statements best describes how a large (100 GB) file is stored in HDFS?

A) The file is divided into fixed-size blocks, which are stored on multiple datanodes. Each block is replicated three times by default. Multiple blocks from the same file might reside on the same datanode.
B) The master copy of the file is stored on a single datanode. The replica copies are divided into fixed-size blocks, which are stored on multiple datanodes.
C) The file is divided into fixed-size blocks, which are stored on multiple datanodes. Each block is replicated three times by default.HDFS guarantees that different blocks from the same file are never on the same datanode.
D) The file is replicated three times by default. Eachcopy of the file is stored on a separate datanodes.
E) The file is divided into variable size blocks, which are stored on multiple data nodes. Each block is replicated three times by default.

4. Which statement best describes the data path of intermediate key-value pairs (i.e., output of the mappers)?

A) Intermediate key-value pairs are written to the local disks of the machines running the map tasks, and then copied to the machine running the reduce tasks.
B) Intermediate key-value pairs are written to HDFS. Reducers copy the intermediate data to the local disks of the machines running the reduce tasks.
C) Intermediate key-value pairs are written to HDFS. Reducers read the intermediate data from HDFS.
D) Intermediate key-value pairs are written to the local disks of the machines running the map tasks, and are then copied to HDFS. Reducers read the intermediate data from HDFS.

5. Combiners Increase the efficiency of a MapReduce program because:

A) They provide an optimization and reduce the total number of computations that are needed to execute an algorithm by a factor of n, where is the number of reducer.
B) They aggregate intermediate map output horn a small number of nearby (i.e., rack-local) machines and therefore reduce the amount of data that needs to be shuffled across the network to the reducers.
C) They provide a mechanism for different mappers to communicate with each Other, thereby reducing synchronization overhead.
D) They aggregate intermediate map output locally on each individual machine and therefore reduce the amount of data that needs to be shuffled across the network to the reducers.

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