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Apache-Hadoop-Developer PDF DEMO:

QUESTION NO: 1
Review the following data and Pig code:
What command to define B would produce the output (M,62,95l02) when invoking the DUMP operator on B?
A. B = FILTER A BY (zip = = '95102' AND gender = = M");
B. B= FOREACH A BY (gender = = 'M' AND zip = = '95102');
C. B = JOIN A BY (gender = = 'M' AND zip = = '95102');
D. B= GROUP A BY (zip = = '95102' AND gender = = 'M');
Answer: A

QUESTION NO: 2
All keys used for intermediate output from mappers must:
A. Implement a splittable compression algorithm.
B. Be a subclass of FileInputFormat.
C. Implement WritableComparable.
D. Override isSplitable.
E. Implement a comparator for speedy sorting.
Answer: C
Explanation:
The MapReduce framework operates exclusively on <key, value> pairs, that is, the framework views the input to the job as a set of <key, value> pairs and produces a set of <key, value> pairs as the output of the job, conceivably of different types.
The key and value classes have to be serializable by the framework and hence need to implement the
Writable interface. Additionally, the key classes have to implement the WritableComparable interface to facilitate sorting by the framework.
Reference: MapReduce Tutorial

QUESTION NO: 3
Assuming the following Hive query executes successfully:
Which one of the following statements describes the result set?
A. A bigram of the top 80 sentences that contain the substring "you are" in the lines column of the input data A1 table.
B. An 80-value ngram of sentences that contain the words "you" or "are" in the lines column of the inputdata table.
C. A trigram of the top 80 sentences that contain "you are" followed by a null space in the lines column of the inputdata table.
D. A frequency distribution of the top 80 words that follow the subsequence "you are" in the lines column of the inputdata table.
Answer: D

QUESTION NO: 4
You are developing a MapReduce job for sales reporting. The mapper will process input keys representing the year (IntWritable) and input values representing product indentifies (Text).
Indentify what determines the data types used by the Mapper for a given job.
A. The key and value types specified in the JobConf.setMapInputKeyClass and
JobConf.setMapInputValuesClass methods
B. The data types specified in HADOOP_MAP_DATATYPES environment variable
C. The mapper-specification.xml file submitted with the job determine the mapper's input key and value types.
D. The InputFormat used by the job determines the mapper's input key and value types.
Answer: D
Explanation:
The input types fed to the mapper are controlled by the InputFormat used.
The default input format, "TextInputFormat," will load data in as (LongWritable, Text) pairs.
The long value is the byte offset of the line in the file. The Text object holds the string contents of the line of the file.
Note: The data types emitted by the reducer are identified by setOutputKeyClass() andsetOutputValueClass(). The data types emitted by the reducer are identified by setOutputKeyClass() and setOutputValueClass().
By default, it is assumed that these are the output types of the mapper as well. If this is not the case, the methods setMapOutputKeyClass() and setMapOutputValueClass() methods of the JobConf class will override these.
Reference: Yahoo! Hadoop Tutorial, THE DRIVER METHOD

QUESTION NO: 5
Which HDFS command copies an HDFS file named foo to the local filesystem as localFoo?
A. hadoop fs -get foo LocalFoo
B. hadoop -cp foo LocalFoo
C. hadoop fs -Is foo
D. hadoop fs -put foo LocalFoo
Answer: A

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Updated: May 27, 2022