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最新的 CCDH CCD-333 免費考試真題:

1. What is a Writable?

A) Writable is an abstract class that all keys and values in MapReduce must extend. Classes extending this abstract base class must implement methods for serializing and deserializing themselves
B) Writable is an interface that all keys, but not values, in MapReduce must implement. Classes implementing this interface must implement methods for serializing and deserializing themselves.
C) Writable is an interface that all keys and values in MapReduce must implement. Classes implementing this interface must implement methods for serializing and deserializing themselves.
D) Writable is an abstract class that all keys, but not values, in MapReduce must extend. Classes extending this abstract base class must implement methods for serializing and deserializing themselves.

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

3. In the standard word count MapReduce algorithm, why might using a combiner reduce the overall Job running time?

A) Because combiners perform local aggregation of word counts, and then transfer that data to reducers without writing the intermediate data to disk.
B) Because combiners perform local aggregation of word counts, thereby reducing the number of key-value pairs that need to be snuff let across the network to the reducers.
C) Because combiners perform local aggregation of word counts, thereby reducing the number of mappers that need to run.
D) Because combiners perform local aggregation of word counts, thereby allowing the mappers to process input data faster.

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

5. The Hadoop framework provides a mechanism for coping with machine issues such as faulty configuration or impending hardware failure. MapReduce detects that one or a number of machines are performing poorly and starts more copies of a map or reduce task. All the tasks run simultaneously and the task that finish first are used. This is called:

A) Speculative Execution
B) Default Partitioner
C) IdentityMapper
D) IdentityReducer
E) Combiner

問題與答案：