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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 Writable object from an object pool.
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 the same writable object each time, but populated with different data.
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 a different Writable object each time.

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

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

A) 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.
B) 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.
C) 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.
D) They provide a mechanism for different mappers to communicate with each Other, thereby reducing synchronization overhead.

4. What is the preferred way to pass a small number of configuration parameters to a mapper or reducer?

A) Through a static variable in the MapReduce driver class (i.e., the class that submits the MapReduce job).
B) As a custom input key-value pair passed to each mapper or reducer.
C) Using a plain text file via the Distributedcache, which each mapper or reducer reads.
D) As key-value pairs in the jobconf object.

5. You have an employee who is a Date Analyst and is very comfortable with SQL. He would like to run ad-hoc analysis on data in your HDFS duster. Which of the following is a data warehousing software built on top of Apache Hadoop that defines a simple SQL-like query language well-suited for this kind of user?

A) Sqoop
B) Flume
C) Hue
D) Oozie
E) Hadoop Streaming
F) Hive
G) Pig

Solutions:

Question # 1 Answer: C

Question # 2 Answer: B

Question # 3 Answer: C

Question # 4 Answer: D

Question # 5 Answer: F