Hortonworks Apache-Hadoop-Developer Q&A - in .pdf

  • Exam Code: Apache-Hadoop-Developer
  • Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
  • Updated: Aug 26, 2026
  • Q & A: 110 Questions and Answers
  • PDF Price: $49.99
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Hortonworks Apache-Hadoop-Developer Q&A - Testing Engine

  • Exam Code: Apache-Hadoop-Developer
  • Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
  • Updated: Aug 26, 2026
  • Q & A: 110 Questions and Answers
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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Hadoop Fundamentals & Architecture20%- YARN architecture and job execution
- HDFS operations and file management
- MapReduce concepts and job lifecycle
Topic 2: Data Ingestion25%- Load data into HDFS from external sources
- Ingest streaming data with Flume
- Import/export data using Sqoop
Topic 3: Apache Pig Development30%- Data transformation, filtering, joining, and aggregation
- Debug and tune Pig jobs
- Write and optimize Pig Latin scripts
Topic 4: Apache Hive Development25%- Write and optimize HiveQL queries
- Use Hive functions, views, and metastore
- Create and manage Hive tables, partitions, and buckets

Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:

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 = JOIN A BY (gender = = 'M' AND zip = = '95102');
C) B= GROUP A BY (zip = = '95102' AND gender = = 'M');
D) B= FOREACH A BY (gender = = 'M' AND zip = = '95102');


2. Assuming default settings, which best describes the order of data provided to a reducer's reduce method:

A) Neither keys nor values are in any predictable order.
B) The keys given to a reducer are in sorted order but the values associated with each key are in no predictable order
C) The keys given to a reducer aren't in a predictable order, but the values associated with those keys always are.
D) Both the keys and values passed to a reducer always appear in sorted order.


3. Your cluster's HDFS block size in 64MB. You have directory containing 100 plain text files, each of which is 100MB in size. The InputFormat for your job is TextInputFormat. Determine how many Mappers will run?

A) 100
B) 64
C) 640
D) 200


4. When is the earliest point at which the reduce method of a given Reducer can be called?

A) As soon as at least one mapper has finished processing its input split.
B) It depends on the InputFormat used for the job.
C) Not until all mappers have finished processing all records.
D) As soon as a mapper has emitted at least one record.


5. Given the following Hive command:
INSERT OVERWRITE TABLE mytable SELECT * FROM myothertable;
Which one of the following statements is true?

A) The contents of myothertable are appended to mytable
B) The statement is not a valid Hive command
C) Any existing data in mytable will be overwritten
D) A new table named mytable is created, and the contents of myothertable are copied into mytable


Solutions:

Question # 1
Answer: A
Question # 2
Answer: B
Question # 3
Answer: D
Question # 4
Answer: C
Question # 5
Answer: C

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