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Last Updated: Oct 02, 2026
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Ingestion | 25% | - Import/export data using Sqoop - Ingest streaming data with Flume - Load data into HDFS from external sources |
| Topic 2: Apache Hive Development | 25% | - Write and optimize HiveQL queries - Use Hive functions, views, and metastore - Create and manage Hive tables, partitions, and buckets |
| Topic 3: Hadoop Fundamentals & Architecture | 20% | - YARN architecture and job execution - MapReduce concepts and job lifecycle - HDFS operations and file management |
| Topic 4: Apache Pig Development | 30% | - Debug and tune Pig jobs - Data transformation, filtering, joining, and aggregation - Write and optimize Pig Latin scripts |
For each intermediate key, each reducer task can emit:
Correct Answer: E 🗳️
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For each input key-value pair, mappers can emit:
Correct Answer: A 🗳️
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What does the following command do?
register '/piggyban):/pig-files.jar';
Correct Answer: C 🗳️
Which one of the following statements regarding the components of YARN is FALSE?
Correct Answer: C 🗳️
All keys used for intermediate output from mappers must:
Correct Answer: E 🗳️
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