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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Ingestion & Ecosystem Integration | 5% | - Workflow orchestration with Oozie - Sqoop and Flume usage basics |
| Topic 2: Apache Hive Development | 35% | - Data types, serialization, and file formats - Hive architecture, metastore, and table management - HiveQL queries, joins, aggregations, and partitioning - Performance tuning and indexing |
| Topic 3: Hadoop Fundamentals & HDFS | 20% | - HDFS file operations, permissions, and data management - Hadoop 2.0 architecture & YARN |
| Topic 4: Apache Pig Development | 40% | - Pig Latin syntax, data loading, and storage - Data transformation, filtering, grouping, and joining - User-defined functions (UDFs) and optimization - Integration with HCatalog and Hive |
Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:
Question 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= GROUP A BY (zip = = '95102' AND gender = = 'M');
C. B= FOREACH A BY (gender = = 'M' AND zip = = '95102');
D. B = JOIN A BY (gender = = 'M' AND zip = = '95102');
Question 2
What types of algorithms are difficult to express in MapReduce v1 (MRv1)?
A. Large-scale graph algorithms that require one-step link traversal.
B. Algorithms that require global, sharing states.
C. Algorithms that require applying the same mathematical function to large numbers of individual binary
records.
D. Relational operations on large amounts of structured and semi-structured data.
E. Text analysis algorithms on large collections of unstructured text (e.g, Web crawls).
Question 3
Which one of the following Hive commands uses an HCatalog table named x?
A. SELECT * FROM org.apache.hcatalog.hive.HCatLoader('x');
B. SELECT x.-FROM org.apache.hcatalog.hive.HCatLoader('x');
C. SELECT * FROM x;
D. Hive commands cannot reference an HCatalog table
Question 4
In a MapReduce job with 500 map tasks, how many map task attempts will there be?
A. At most 500.
B. Exactly 500.
C. Between 500 and 1000.
D. It depends on the number of reduces in the job.
E. At least 500.
Question 5
What are the TWO main components of the YARN ResourceManager process? Choose 2 answers
A. Job Tracker
B. Applications Manager
C. Scheduler
D. Task Tracker
Solutions:
| Question 1 Answer: A | Question 2 Answer: B | Question 3 Answer: A | Question 4 Answer: E | Question 5 Answer: B,C |
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