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Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. In the reducer, the MapReduce API provides you with an iterator over Writable values. Calling the next () method:

A) Returns a reference to a different Writable object each time.
B) Returns a reference to a Writable object. The API leaves unspecified whether this is a reused object or a new object.
C) Returns a reference to a Writable object from an object pool.
D) Returns a reference to the same writable object if the next value is the same as the previous value, or a new writable object otherwise.
E) Returns a reference to the same writable object each time, but populated with different data.

2. You are developing a combiner that takes as input Text keys, IntWritable values, and emits Text keys, Intwritable values. Which interface should your class implement?

A) Reducer <Text, IntWritable, Text, IntWritable>
B) Reducer <Text, Text, IntWritable, IntWritable>
C) Mapper <Text, IntWritable, Text, IntWritable>
D) Combiner <Text, IntWritable, Text, IntWritable>
E) Combiner <Text, Text, IntWritable, IntWritable>

3. Which of the Following best describes the lifecycle of a Mapper?

A) The JobTracker calls the FastTracker's configure () method, then its map () method and finally its closer ()
B) The TaskTracker spawns a new Mapper to process each key-value pair.
C) The JobTracker spawns a new Mapper to process all records in a single file.
D) The TaskTracker spawns a new Mapper to process all records in a single input split.

4. To process input key-value pairs, your mapper needs to load a 512 MB data file in memory. What is the best way to accomplish this?

A) Place the data file in theDistributedCacheand read the data into memory in the map method of the mapper.
B) Serialize the data file, insert it in the Jobconf object, and read the data into memory in the configure method of the mapper.
C) Place the data file in theDistributedCacheand read the data into memory in the configure method of the mapper.
D) Place the datafile in the DataCache and read the data into memory in the configure method ofthe mapper.

5. The NameNode uses RAM for the following purpose:

A) To store the contents of files in HDFS.
B) To store filenames, list of blocks and other meta information.
C) To store the edits log that keeps track of changes in HDFS.
D) To manage distributed read and write locks on files in HDFS.

Solutions: