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Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. What is a SequenceFile?

A) A SequenceFile contains a binary encoding of an arbitrary number of WritableComparable objects, in sorted order.
B) A SequenceFile contains a binary encoding of an arbitrary number of homogeneous writable objects.
C) A SequenceFile contains a binary encoding of an arbitrary number of heterogeneous writable objects.
D) A SequenceFile contains a binary encoding of an arbitrary number key-value pairs. Each key must be the same type. Each value must be same type.

2. When is the reduce method first called in a MapReduce job?

A) Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The programmer can configure in the job what percentage of the intermediate data should arrive before the reduce method begins.
B) Reduce methods and map methods all start at the beginning of a job, in order to provide optimal performance for map-only or reduce-only jobs.
C) Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The reduce method is called only after all intermediate data has been copied and sorted.
D) Reducers start copying intermediate key value pairs from each Mapper as soon as it has completed. The reduce method is called as soon as the intermediate key-value pairs start to arrive.

3. In a MapReduce job with 500 map tasks, how many map task attempts will there be?

A) At least 500.
B) Between 500 and 1000.
C) It depends on the number of reducers in the job.
D) At most 500.
E) Exactly 500.

4. Which of the following statements most accurately describes the relationship between MapReduce and Pig?

A) Pig provides no additional capabilities to MapReduce. Pig programs are executed as MapReduce jobs via the Pig interpreter.
B) Pig provides the additional capability of allowing you to control the flow of multiple MapReduce jobs.
C) Pig programs rely on MapReduce but are extensible, allowing developers to do special-purpose processing not provided by MapReduce.
D) Pig provides additional capabilities that allow certain types of data manipulation not possible with MapReduce.

5. You have a large dataset of key-value pairs, where the keys are strings, and the values are integers. For each unique key, you want to identify the largest integer. In writing a MapReduce program to accomplish this, can you take advantage of a combiner?

A) Yes, but the number of unique keys must be known in advance.
B) Yes, as long as all the keys fit into memory on each node.
C) No, a combiner would not be useful in this case.
D) Yes.
E) Yes, as long as all the integer values that share the same key fit into memory on each node.

Solutions: