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Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. Which of the following best describes the map method input and output?

A) It accepts a single key-value pair as input and emits a single key and list of corresponding values as output
B) It accepts a single key-value pair as input and can emit only one key-value pair as output.
C) It accepts a single key-value pair as input and can emit any number of key-value pairs as output, including zero.
D) It accepts a list of key-value pairs as input hut run emit only one key value pair as output.

2. 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, as long as all the integer values that share the same key fit into memory on each node.
B) Yes.
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, but the number of unique keys must be known in advance.

3. MapReduce is well-suited for all of the following applications EXCEPT? (Choose one):

A) Text mining on a large collections of unstructured documents.
B) Analysis of large amounts of Web logs (queries, clicks, etc.).
C) Graph mining on a large social network (e.g., Facebook friends network).
D) Online transaction processing (OLTP) for an e-commerce Website.

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

5. During the standard sort and shuffle phase of MapReduce, keys and values are passed to reducers. Which of the following is true?

A) Keys are presented to a reducer in random order; values for a given key are not sorted.
B) Keys are presented to a reducer in soiled order; values for a given key are sorted in ascending order.
C) Keys are presented to a reducer in random order; values for a given key are sorted in ascending order.
D) Keys are presented to a reducer in sorted order; values for a given key are not sorted.

Solutions: