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最新的 HCAHD Apache-Hadoop-Developer 免費考試真題:

1. What are the TWO main components of the YARN ResourceManager process? Choose 2 answers

A) Applications Manager
B) Job Tracker
C) Task Tracker
D) Scheduler

2. You want to count the number of occurrences for each unique word in the supplied input data. You've decided to implement this by having your mapper tokenize each word and emit a literal value 1, and then have your reducer increment a counter for each literal 1 it
receives. After successful implementing this, it occurs to you that you could optimize this by specifying a combiner. Will you be able to reuse your existing Reduces as your combiner in this case and why or why not?

A) No, because the Reducer and Combiner are separate interfaces.
B) Yes, because the sum operation is both associative and commutative and the input and output types to the reduce method match.
C) No, because the sum operation in the reducer is incompatible with the operation of a Combiner.
D) Yes, because Java is a polymorphic object-oriented language and thus reducer code can be reused as a combiner.
E) No, because the Combiner is incompatible with a mapper which doesn't use the same data type for both the key and value.

3. Which process describes the lifecycle of a Mapper?

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

4. Which two of the following statements are true about Pig's approach toward data? Choose 2 answers

A) Accepts tab-delimited text data only
B) Accepts only data that is defined by metadata tables stored in a database
C) Accepts only data that has a key/value pair structure
D) Accepts any data: structured or unstructured
E) Accepts data whether it has metadata or not

5. Which one of the following statements is true regarding a MapReduce job?

A) The reduce method is invoked once for each unique value
B) The job's Partitioner shuffles and sorts all (key.value) pairs and sends the output to all reducers
C) The default Hash Partitioner sends key value pairs with the same key to the same Reducer
D) The Mapper must sort its output of (key.value) pairs in descending order based on value

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