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| Section | Objectives |
|---|---|
| Topic 1: Data Warehousing with Hive | - HiveQL fundamentals
|
| Topic 2: Hadoop Ecosystem Integration | - MapReduce basics - Data ingestion and ETL workflows - HDFS interaction |
| Topic 3: Data Processing with Pig | - Pig Latin fundamentals
|
1. In a MapReduce job with 500 map tasks, how many map task attempts will there be?
A) Between 500 and 1000.
B) Exactly 500.
C) At least 500.
D) At most 500.
E) It depends on the number of reduces in the job.
2. Identify the tool best suited to import a portion of a relational database every day as files into HDFS, and
generate Java classes to interact with that imported data?
A) Sqoop
B) Hue
C) Pig
D) Flume
E) fuse-dfs
F) Oozie
G) Hive
3. You have a directory named jobdata in HDFS that contains four files: _first.txt, second.txt, .third.txt and
# data.txt. How many files will be processed by the FileInputFormat.setInputPaths () command when it's
given a path object representing this directory?
A) One, no special characters can prefix the name of an input file
B) Three, the pound sign is an invalid character for HDFS file names
C) None, the directory cannot be named jobdata
D) Two, file names with a leading period or underscore are ignored
E) Four, all files will be processed
4. You've written a MapReduce job that will process 500 million input records and generated 500 million
key-value pairs. The data is not uniformly distributed. Your MapReduce job will create a significant
amount of intermediate data that it needs to transfer between mappers and reduces which is a potential
bottleneck. A custom implementation of which interface is most likely to reduce the amount of
intermediate data transferred across the network?
A) Combiner
B) InputFormat
C) WritableComparable
D) Partitioner
E) OutputFormat
F) Writable
5. Which one of the following is NOT a valid Oozie action?
A) hive
B) pig
C) mrunit
D) mapreduce
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A | Question # 3 Answer: D | Question # 4 Answer: A | Question # 5 Answer: C |
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