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Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. 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 reduce method is called only after all intermediate data has been copied and sorted.
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 as soon as the intermediate key-value pairs start to arrive.
D) 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.

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

3. Can you use MapReduce to perform a relational join on two large tables sharing a key? Assume that the two tables are formatted as comma-separated file in HDFS.

A) No, MapReduce cannot perform relational operations.
B) Yes.
C) No, but it can be done with either Pig or Hive.
D) Yes, so long as both tables fit into memory.
E) Yes, but only if one of the tables fits into memory.

4. What is a SequenceFile?

A) A SequenceFile contains a binary encoding of an arbitrary number of homogeneous writable objects.
B) A SequenceFile contains a binary encoding of an arbitrary number of heterogeneous writable objects.
C) 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.
D) A SequenceFile contains a binary encoding of an arbitrary number of WritableComparable objects, in sorted order.

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

Solutions: