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

Apache-Hadoop-Developer actual test
  • Exam Code: Apache-Hadoop-Developer
  • Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
  • Updated: Jul 21, 2026
  • Q & A: 110 Questions and Answers
  • PDF Demo
  • PC Test Engine
  • Online Test Engine
  • Total Price: $49.99  

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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: Apache Pig Development30%- Debug and tune Pig jobs
- Write and optimize Pig Latin scripts
- Data transformation, filtering, joining, and aggregation
Topic 3: Apache Hive Development25%- Write and optimize HiveQL queries
- Use Hive functions, views, and metastore
- Create and manage Hive tables, partitions, and buckets
Topic 4: Data Ingestion25%- Import/export data using Sqoop
- Ingest streaming data with Flume
- Load data into HDFS from external sources

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

1. Which one of the following statements regarding the components of YARN is FALSE?

A) The ResourceManager monitors and restarts any failed Containers
B) A Container executes a specific task as assigned by the ApplicationMaster
C) A client application submits a YARW job to the ResourceManager
D) The ResourceManager is responsible for scheduling and allocating resources


2. For each input key-value pair, mappers can emit:

A) As many intermediate key-value pairs as designed, as long as all the keys have the same types and all the values have the same type.
B) As many intermediate key-value pairs as designed, but they cannot be of the same type as the input key-value pair.
C) One intermediate key-value pair, of a different type.
D) As many intermediate key-value pairs as designed. There are no restrictions on the types of those key-value pairs (i.e., they can be heterogeneous).
E) One intermediate key-value pair, but of the same type.


3. In a MapReduce job with 500 map tasks, how many map task attempts will there be?

A) Between 500 and 1000.
B) At most 500.
C) Exactly 500.
D) At least 500.
E) It depends on the number of reduces in the job.


4. MapReduce v2 (MRv2/YARN) is designed to address which two issues?

A) Ability to run frameworks other than MapReduce, such as MPI.
B) Single point of failure in the NameNode.
C) Standardize on a single MapReduce API.
D) Reduce complexity of the MapReduce APIs.
E) Resource pressure on the JobTracker.
F) HDFS latency.


5. 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) 640
B) 200
C) 100
D) 64


Solutions:

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

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