Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer : Apache-Hadoop-Developer valid dumps

Apache-Hadoop-Developer real exams

Exam Code: Apache-Hadoop-Developer

Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer

Updated: Jul 13, 2026

Q & A: 110 Questions and Answers

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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Ingestion- Import data into Hadoop
  • 1. Use Flume for log and event data ingestion
  • 2. Use Sqoop for relational data import
Topic 2: Data Processing- End-to-end Hadoop workflows
  • 1. Analyze structured and semi-structured data
  • 2. Produce required output using Hadoop ecosystem tools
Topic 3: Data Transformation with Pig- Pig Latin programming
  • 1. Load, filter, join, group and aggregate data
  • 2. Transform and process datasets
Topic 4: Data Analysis with Hive- Hive query development
  • 1. Write queries, joins, aggregations and partitions
  • 2. Create and manage databases and tables

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

1. You want to perform analysis on a large collection of images. You want to store this data in HDFS and process it with MapReduce but you also want to give your data analysts and data scientists the ability to process the data directly from HDFS with an interpreted high-level programming language like Python. Which format should you use to store this data in HDFS?

A) JSON
B) XML
C) CSV
D) HTML
E) SequenceFiles
F) Avro


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

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


3. Examine the following Hive statements:

Assuming the statements above execute successfully, which one of the following statements is true?

A) The output of each reducer is only the age column
B) The output is guaranteed to be a single file with all the data sorted by age
C) Each reducer generates a file sorted by age
D) The SORT BY command causes only one reducer to be used


4. In a MapReduce job, the reducer receives all values associated with same key. Which statement best describes the ordering of these values?

A) The values are in sorted order.
B) Since the values come from mapper outputs, the reducers will receive contiguous sections of sorted values.
C) The values are arbitrary ordered, but multiple runs of the same MapReduce job will always have the same ordering.
D) The values are arbitrarily ordered, and the ordering may vary from run to run of the same MapReduce job.


5. What is the term for the process of moving map outputs to the reducers?

A) Reducing
B) Partitioning
C) Combining
D) Shuffling and sorting


Solutions:

Question # 1
Answer: F
Question # 2
Answer: D
Question # 3
Answer: C
Question # 4
Answer: D
Question # 5
Answer: D

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