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Hadoop 2.0 Certification exam for Pig and Hive Developer: Apache-Hadoop-Developer Exam
"Hadoop 2.0 Certification exam for Pig and Hive Developer", also known as Apache-Hadoop-Developer exam, is a Hortonworks Certification. With the complete collection of questions and answers, BraindumpsPass has assembled to take you through 110 Q&As to your Apache-Hadoop-Developer Exam preparation. In the Apache-Hadoop-Developer exam resources, you will cover every field and category in HCAHD Certification helping to ready you for your successful Hortonworks Certification.
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- Updated on: Sep 15, 2026
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- Updated on: Sep 15, 2026
- No. of Questions: 110 Questions & Answers
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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Apache Hive Development | 25% | - Use Hive functions, views, and metastore - Write and optimize HiveQL queries - Create and manage Hive tables, partitions, and buckets |
| Topic 2: Apache Pig Development | 30% | - Write and optimize Pig Latin scripts - Debug and tune Pig jobs - Data transformation, filtering, joining, and aggregation |
| Topic 3: Data Ingestion | 25% | - Import/export data using Sqoop - Ingest streaming data with Flume - Load data into HDFS from external sources |
| Topic 4: Hadoop Fundamentals & Architecture | 20% | - YARN architecture and job execution - MapReduce concepts and job lifecycle - HDFS operations and file management |
Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
MapReduce v2 (MRv2/YARN) is designed to address which two issues?
- A. HDFS latency.
- B. Reduce complexity of the MapReduce APIs.
- C. Single point of failure in the NameNode.
- D. Ability to run frameworks other than MapReduce, such as MPI.
- E. Standardize on a single MapReduce API.
- F. Resource pressure on the JobTracker.
Correct Answer: C,F 🗳️
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To process input key-value pairs, your mapper needs to lead a 512 MB data file in memory. What is the best way to accomplish this?
- A. Serialize the data file, insert in it the JobConf object, and read the data into memory in the configure method of the mapper.
- B. Place the data file in the DistributedCache and read the data into memory in the map method of the mapper.
- C. Place the data file in the DataCache and read the data into memory in the configure method of the mapper.
- D. Place the data file in the DistributedCache and read the data into memory in the configure method of the mapper.
Correct Answer: C 🗳️
Which Hadoop component is responsible for managing the distributed file system metadata?
- A. Metanode
- B. NameSpaceManager
- C. DataNode
- D. NameNode
Correct Answer: D 🗳️
Consider the following two relations, A and B.
Which Pig statement combines A by its first field and B by its second field?
- A. C = JOIN A by al, B by b2;
- B. C = JOIN A a1, B b2;
- C. C = JOIN A SO, B $1;
- D. C = DOIN B BY a1, A by b2;
Correct Answer: A 🗳️
In the reducer, the MapReduce API provides you with an iterator over Writable values. What does calling the next () method return?
- A. It returns a reference to the same Writable object each time, but populated with different data.
- B. It returns a reference to a different Writable object time.
- C. It returns a reference to a Writable object. The API leaves unspecified whether this is a reused object or a new object.
- D. It returns a reference to a Writable object from an object pool.
- E. It returns a reference to the same Writable object if the next value is the same as the previous value, or a new Writable object otherwise.
Correct Answer: A 🗳️
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