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Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. For each intermediate key, each reducer task can emit:

A) As many final key-value pairs as desired, but they must have the same type as the intermediate key-value pairs.
B) One final key value pair per key; no restrictions on the type.
C) As many final key-value pairs as desired, as long as all the keys have the same type and all the values have the same type.
D) One final key-value pair per value associated with the key; no restrictions on the type.
E) As many final key value pairs as desired. There are no restrictions on the types of those key-value pairs (i.e., they can be heterogeneous)

2. Your client application submits a MapReduce job to your Hadoop cluster. The Hadoop framework looks for an available slot to schedule the MapReduce operations on which of the following Hadoop computing daemons?

A) Secondary NameNode
B) DataNode
C) NameNode
D) TaskTracker
E) JobTracker

3. You need to create a job that does frequency analysis on input data. You will do this by writing a Mapper that uses TextInputForma and splits each value (a line of text from an input file) into individual characters. For each one of these characters, you will emit the character as a key and as IntWritable as the value. Since this will produce proportionally more intermediate data than input data, which resources could you expect to be likely bottlenecks?

A) Processor and disk I/O
B) Disk I/O and network I/O
C) Processor and RAM
D) Processor and network I/O

4. You need to create a GUI application to help your company's sales people add and edit customer information. Would HDFS be appropriate for this customer information file?

A) Yes, because HDFS is optimized for random access writes.
B) No, because HDFS is optimized for write-once, streaming access for relatively large files.
C) Yes, because HDFS is optimized for fast retrieval of relatively small amounts of data.
D) No, because HDFS can only be accessed by MapReduce applications.

5. Which MapReduce daemon runs on each slave node and participates in job execution?

A) Secondary NameNode
B) NameNode
C) TaskTracker
D) JobTracker

Solutions: