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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Hadoop Ecosystem Integration | - HDFS interaction - MapReduce basics - Data ingestion and ETL workflows |
| Topic 2: Data Processing with Pig | - Pig Latin fundamentals
|
| Topic 3: Data Warehousing with Hive | - Advanced Hive features
|
Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:
1. Consider the following two relations, A and B.
What is the output of the following Pig commands?
X = GROUP A BY S1; DUMP X;
A) Option B
B) Option D
C) Option A
D) Option C
2. Indentify the utility that allows you to create and run MapReduce jobs with any executable or script as the
mapper and/or the reducer?
A) mapred
B) Sqoop
C) Hadoop Streaming
D) Oozie
E) Flume
3. Analyze each scenario below and indentify which best describes the behavior of the default partitioner?
A) The default partitioner computes the hash of the key and divides that valule modulo the number of
reducers. The result determines the reducer assigned to process the key-value pair.
B) The default partitioner computes the hash of the value and takes the mod of that value with the number
of reducers. The result determines the reducer assigned to process the key-value pair.
C) The default partitioner assigns key-values pairs to reduces based on an internal random number
generator.
D) The default partitioner implements a round-robin strategy, shuffling the key-value pairs to each reducer
in turn. This ensures an event partition of the key space.
E) The default partitioner computes the hash of the key. Hash values between specific ranges are
associated with different buckets, and each bucket is assigned to a specific reducer.
4. In a MapReduce job, the reducer receives all values associated with same key. Which statement best
describes the ordering of these values?
A) Since the values come from mapper outputs, the reducers will receive contiguous sections of sorted
values.
B) The values are arbitrarily ordered, and the ordering may vary from run to run of the same MapReduce
job.
C) The values are in sorted order.
D) The values are arbitrary ordered, but multiple runs of the same MapReduce job will always have the
same ordering.
5. In Hadoop 2.0, which TWO of the following processes work together to provide automatic failover of the
NameNode? Choose 2 answers
A) ZKFailoverController
B) JournalNode
C) QuorumManager
D) ZooKeeper
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: C | Question # 3 Answer: A | Question # 4 Answer: B | Question # 5 Answer: A,B |
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