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Last Updated: Aug 06, 2026
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| Section | Objectives |
|---|---|
| Hadoop Ecosystem Fundamentals | - HDFS Architecture and Data Storage Concepts
|
| Apache Hive | - Hive architecture
|
| Apache Pig | - Pig Latin Programming
|
| Data Processing and Integration | - Hadoop data formats
|
1. Which one of the following statements describes a Hive user-defined aggregate function?
A) Operates on a single input row and produces a single row as output
B) Operates on a single input row and produces a table as output
C) Operates on multiple input rows and produces a table as output
D) Operates on multiple input rows and creates a single row as output
2. MapReduce v2 (MRv2/YARN) is designed to address which two issues?
A) HDFS latency.
B) Resource pressure on the JobTracker.
C) Single point of failure in the NameNode.
D) Reduce complexity of the MapReduce APIs.
E) Ability to run frameworks other than MapReduce, such as MPI.
F) Standardize on a single MapReduce API.
3. Given the following Hive commands:
Which one of the following statements Is true?
A) The file mydata.txt does not move from Its current location in HDFS
B) The file mydata.txt is copied to a subfolder of /apps/hive/warehouse
C) The file mydata.txt is moved to a subfolder of /apps/hive/warehouse
D) The file mydata.txt is copied into Hive's underlying relational database 0.
4. All keys used for intermediate output from mappers must:
A) Implement a splittable compression algorithm.
B) Be a subclass of FileInputFormat.
C) Override isSplitable.
D) Implement WritableComparable.
E) Implement a comparator for speedy sorting.
5. Which one of the following files is required in every Oozie Workflow application?
A) Oozie.xml
B) Config-default.xml
C) job.properties
D) Workflow.xml
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B,C | Question # 3 Answer: B | Question # 4 Answer: D | Question # 5 Answer: D |
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