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| Section | Objectives |
|---|---|
| Topic 1: Data Warehousing with Hive | - HiveQL fundamentals
|
| Topic 2: Hadoop Ecosystem Integration | - Data ingestion and ETL workflows - HDFS interaction - MapReduce basics |
| Topic 3: Data Processing with Pig | - Advanced Pig processing
|
You write MapReduce job to process 100 files in HDFS. Your MapReduce algorithm uses
TextInputFormat: the mapper applies a regular expression over input values and emits key-values pairs
with the key consisting of the matching text, and the value containing the filename and byte offset.
Determine the difference between setting the number of reduces to one and settings the number of
reducers to zero.
Correct Answer: D 🗳️
Examine the following Pig commands:
Which one of the following statements is true?
Correct Answer: A 🗳️
Identify the MapReduce v2 (MRv2 / YARN) daemon responsible for launching application containers and
monitoring application resource usage?
Correct Answer: C 🗳️
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?
Correct Answer: B 🗳️
You want to run Hadoop jobs on your development workstation for testing before you submit them to your
production cluster. Which mode of operation in Hadoop allows you to most closely simulate a production
cluster while using a single machine?
Correct Answer: B 🗳️
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