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Last Updated: Oct 08, 2026
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| Section | Weight | Objectives |
|---|---|---|
| Hadoop Fundamentals & HDFS | 20% | - HDFS file operations, permissions, and data management - Hadoop 2.0 architecture & YARN |
| Data Ingestion & Ecosystem Integration | 5% | - Sqoop and Flume usage basics - Workflow orchestration with Oozie |
| Apache Pig Development | 40% | - Integration with HCatalog and Hive - User-defined functions (UDFs) and optimization - Data transformation, filtering, grouping, and joining - Pig Latin syntax, data loading, and storage |
| Apache Hive Development | 35% | - Performance tuning and indexing - Data types, serialization, and file formats - HiveQL queries, joins, aggregations, and partitioning - Hive architecture, metastore, and table management |
All keys used for intermediate output from mappers must:
Correct Answer: C 🗳️
What data does a Reducer reduce method process? Reference: Yahoo! Hadoop Tutorial, Module 4:
MapReduce
Correct Answer: B 🗳️
You wrote a map function that throws a runtime exception when it encounters a control character in input
data. The input supplied to your mapper contains twelve such characters totals, spread across five file
splits. The first four file splits each have two control characters and the last split has four control
characters.
Indentify the number of failed task attempts you can expect when you run the job with
mapred.max.map.attempts set to 4:
Correct Answer: A 🗳️
Which two of the following are true about this trivial Pig program' (choose Two)
Correct Answer: B,D 🗳️
Workflows expressed in Oozie can contain:
Correct Answer: A 🗳️
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