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Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. What is the behavior of the default partitioner?

A) The default partitioner implements a round robin strategy, shuffling the key value pairs to each reducer in turn. This ensures an even partition of the key space.
B) The default partitioner computes the hash of the key and divides that value modulo the number of reducers. The result determines the reducer assigned to process the key-value pair.
C) The default partitioner computes the hash of the value and takes the mod of that value with the number of reducers. The result determines the reducer assigned to process the key value pair.
D) The default partitioner computes the hash of the key. Hash values between specific ranges are associated with different buckets, and each bucket is assigned to a specific reducer.
E) The default partitioner assigns key value pairs to reducers based on an internal random number generator.

2. 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) Hue
D) Sqoop
E) Flume
F) Pig
G) Oozie

3. Given a directory of files with the following structure: line number, tab character, string:
Example:
1.abialkjfjkaoasdfjksdlkjhqweroij
2.kadf jhuwqounahagtnbvaswslmnbfgy
3.kjfteiomndscxeqalkzhtopedkfslkj
You want to send each line as one record to your Mapper. Which InputFormat would you use to complete the line: setInputFormat (________.class);

A) BDBInputFormat
B) SequenceFileAsTextInputFormat
C) KeyValueTextInputFormat
D) SequenceFileInputFormat

4. In the standard word count MapReduce algorithm, why might using a combiner reduce the overall Job running time?

A) Because combiners perform local aggregation of word counts, thereby allowing the mappers to process input data faster.
B) Because combiners perform local aggregation of word counts, thereby reducing the number of mappers that need to run.
C) Because combiners perform local aggregation of word counts, thereby reducing the number of key-value pairs that need to be snuff let across the network to the reducers.
D) Because combiners perform local aggregation of word counts, and then transfer that data to reducers without writing the intermediate data to disk.

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

A) The file is replicated three times by default. Eachcopy of the file is stored on a separate datanodes.
B) 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.
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 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.
E) The file is divided into variable size blocks, which are stored on multiple data nodes. Each block is replicated three times by default.

Solutions: