Apache Hadoop Developer Certification Exam Verified
Questions, Correct Answers, and Detailed
Explanations for Computer Science Students||Already
Graded A+
1. What is the default block size in Hadoop HDFS?
A) 32 MB
B) 64 MB
C) 128 MB
D) 256 MB
Hadoop 2.x and later use a default HDFS block size of 128 MB to
optimize large data processing.
2. Which of the following is responsible for managing HDFS
metadata?
A) DataNode
B) NameNode
C) JobTracker
D) TaskTracker
NameNode stores metadata about file locations, replication, and
directories in HDFS.
3. Which Hadoop component is used for distributed data
processing?
A) HDFS
B) Hive
C) MapReduce
D) Pig
MapReduce is Hadoop’s framework for processing large datasets in
parallel across the cluster.
,4. Which language is MapReduce primarily written in?
A) Python
B) Java
C) C++
D) Scala
Hadoop is primarily implemented in Java; MapReduce jobs are often
written in Java.
5. What is the role of a DataNode in Hadoop?
A) Store metadata
B) Store actual data blocks
C) Coordinate jobs
D) Monitor cluster health
DataNodes are responsible for storing HDFS data blocks and serving
read/write requests.
6. Which file system does Hadoop use?
A) NTFS
B) FAT32
C) HDFS
D) ext4
HDFS (Hadoop Distributed File System) is designed for high-
throughput access to large datasets.
7. Which of the following is a Hadoop ecosystem tool for querying
large datasets using SQL-like language?
A) Pig
B) Hive
, C) Flume
D) Sqoop
Hive provides a SQL-like interface to Hadoop and converts queries
into MapReduce jobs.
8. Which Hadoop component is optimized for streaming large
amounts of log data into HDFS?
A) Oozie
B) Hive
C) Sqoop
D) Flume
Flume is designed to efficiently collect, aggregate, and move large
log data into HDFS.
9. What is the primary purpose of YARN in Hadoop 2.x?
A) Data storage
B) Resource management and job scheduling
C) Query processing
D) Data ingestion
YARN (Yet Another Resource Negotiator) separates resource
management from MapReduce, improving scalability.
10. What does HDFS stand for?
A) Hadoop File Data System
B) Hadoop Fast Distributed Storage
C) Hadoop Distributed File System
D) Hadoop Data File System
HDFS is designed to store huge files across multiple machines
efficiently.
Questions, Correct Answers, and Detailed
Explanations for Computer Science Students||Already
Graded A+
1. What is the default block size in Hadoop HDFS?
A) 32 MB
B) 64 MB
C) 128 MB
D) 256 MB
Hadoop 2.x and later use a default HDFS block size of 128 MB to
optimize large data processing.
2. Which of the following is responsible for managing HDFS
metadata?
A) DataNode
B) NameNode
C) JobTracker
D) TaskTracker
NameNode stores metadata about file locations, replication, and
directories in HDFS.
3. Which Hadoop component is used for distributed data
processing?
A) HDFS
B) Hive
C) MapReduce
D) Pig
MapReduce is Hadoop’s framework for processing large datasets in
parallel across the cluster.
,4. Which language is MapReduce primarily written in?
A) Python
B) Java
C) C++
D) Scala
Hadoop is primarily implemented in Java; MapReduce jobs are often
written in Java.
5. What is the role of a DataNode in Hadoop?
A) Store metadata
B) Store actual data blocks
C) Coordinate jobs
D) Monitor cluster health
DataNodes are responsible for storing HDFS data blocks and serving
read/write requests.
6. Which file system does Hadoop use?
A) NTFS
B) FAT32
C) HDFS
D) ext4
HDFS (Hadoop Distributed File System) is designed for high-
throughput access to large datasets.
7. Which of the following is a Hadoop ecosystem tool for querying
large datasets using SQL-like language?
A) Pig
B) Hive
, C) Flume
D) Sqoop
Hive provides a SQL-like interface to Hadoop and converts queries
into MapReduce jobs.
8. Which Hadoop component is optimized for streaming large
amounts of log data into HDFS?
A) Oozie
B) Hive
C) Sqoop
D) Flume
Flume is designed to efficiently collect, aggregate, and move large
log data into HDFS.
9. What is the primary purpose of YARN in Hadoop 2.x?
A) Data storage
B) Resource management and job scheduling
C) Query processing
D) Data ingestion
YARN (Yet Another Resource Negotiator) separates resource
management from MapReduce, improving scalability.
10. What does HDFS stand for?
A) Hadoop File Data System
B) Hadoop Fast Distributed Storage
C) Hadoop Distributed File System
D) Hadoop Data File System
HDFS is designed to store huge files across multiple machines
efficiently.
