This set of Multiple Choice Questions (MCQs) covers important concepts of Big Data Technology and Hadoop YARN, including ResourceManager, NodeManager, ApplicationMaster, containers, scheduling, resource allocation, and YARN architecture. Useful for UGC NET, University Semester Exams, and Big Data Technology preparation.
Topic: Big Data Techonology (YARN Architecture) | Set: 1
Difficulty: Easy to Medium | Total Questions: 15
YARN MCQs with Answers
Q1. What does YARN stand for?
A. Yet Another Resource Negotiator
B. Yielding All Resource Nodes
C. Yet Another Rapid Network
D. Yearly Archive Resource Node
View Answer & Explanation
Answer: A
Explanation: YARN is the resource management layer of Hadoop that separates resource management from job scheduling.
Q2. What is the main master component in the YARN architecture?
A. NodeManager
B. ResourceManager
C. ApplicationMaster
D. DataNode
View Answer & Explanation
Answer: B
Explanation: The ResourceManager is the central authority that manages cluster resources and application scheduling.
Q3. Which component runs on every node in a YARN cluster?
A. ResourceManager
B. ApplicationMaster
C. NodeManager
D. NameNode
View Answer & Explanation
Answer: C
Explanation: The NodeManager is the per-node agent responsible for managing containers and reporting resource usage.
Q4. What is a “Container” in YARN?
A. A physical server rack
B. A logical bundle of CPU and RAM resources assigned to a task
C. A storage unit for HDFS blocks
D. A configuration file
View Answer & Explanation
Answer: B
Explanation: Containers represent allocated CPU and memory resources used to execute application tasks.
Q5. Which component manages the lifecycle of a single application?
A. ResourceManager
B. NodeManager
C. ApplicationMaster
D. JobTracker
View Answer & Explanation
Answer: C
Explanation: The ApplicationMaster negotiates resources and coordinates application execution.
Q6. What is the primary role of the ResourceManager’s Scheduler?
A. Monitor hardware health
B. Allocate resources to running applications
C. Manage HDFS replication
D. Clean temporary files
View Answer & Explanation
Answer: B
Explanation: The Scheduler allocates cluster resources to applications according to scheduling policies.
Q7. Which protocol is used by the ApplicationMaster to communicate with the ResourceManager?
A. ApplicationMasterProtocol
B. ResourceManagerProtocol
C. NodeManagerProtocol
D. HDFSProtocol
View Answer & Explanation
Answer: A
Explanation: ApplicationMasterProtocol is used for application registration and resource negotiation.
Q8. What is “Resource Localization” in YARN?
A. Moving the task to the data
B. Downloading required files to the container before execution
C. Checking node health
D. Moving data to the task
View Answer & Explanation
Answer: B
Explanation: Resource Localization downloads dependencies like JAR files to local nodes before execution.
Q9. Can a YARN cluster run applications other than MapReduce?
A. No
B. Yes, YARN supports Spark, Flink, Hive, and other frameworks
C. Only if MapReduce is disabled
D. Only with manual configuration
View Answer & Explanation
Answer: B
Explanation: YARN is a general-purpose resource management platform that supports multiple distributed processing engines.
Q10. What is the ResourceManager Web UI typically used for?
A. Storing HDFS blocks
B. Viewing cluster status and application progress
C. Formatting the filesystem
D. Running SQL queries
View Answer & Explanation
Answer: B
Explanation: The Web UI allows monitoring of nodes, applications, and overall cluster health.
Q11. Which YARN component is responsible for sending heartbeats?
A. NodeManager
B. ResourceManager
C. ApplicationMaster
D. Client
View Answer & Explanation
Answer: A
Explanation: NodeManagers periodically send heartbeats to the ResourceManager to report health and container status.
Q12. What happens when an ApplicationMaster fails?
A. Entire cluster shuts down
B. ResourceManager attempts to restart it
C. Application continues without AM
D. Nodes are decommissioned
View Answer & Explanation
Answer: B
Explanation: YARN provides fault tolerance by restarting failed ApplicationMasters when possible.
Q13. What is the default YARN scheduler?
A. FIFO
B. Capacity
C. Fair
D. Dominant Resource Fairness
View Answer & Explanation
Answer: B
Explanation: CapacityScheduler is commonly used to share cluster resources among multiple users and organizations.
Q14. What is the main advantage of YARN over MapReduce v1?
A. Increased HDFS storage
B. Better resource utilization and multi-framework support
C. Automatic encryption
D. Faster hardware
View Answer & Explanation
Answer: B
Explanation: YARN separates resource management from computation, allowing frameworks other than MapReduce to run efficiently.
Q15. In YARN, how are resources requested?
A. By HDFS path
B. By specifying RAM and CPU cores
C. By filename
D. By node IP
View Answer & Explanation
Answer: B
Explanation: Applications request containers by specifying required memory and CPU resources.
Conclusion
These YARN MCQ questions covered important concepts such as ResourceManager, NodeManager, ApplicationMaster, containers, scheduling, and resource allocation in Hadoop YARN architecture.
Practicing these questions is useful for Big Data Technology, Hadoop architecture, GATE CS, UGC NET, and university semester examinations.
For better understanding of theory and concepts, refer to Hadoop Yarn Acrhitecture.