This set of Hadoop Multiple Choice Questions & Answers (MCQs) focuses on “YARN – 1”.
1. ________ is the architectural center of Hadoop that allows multiple data processing engines.
a) YARN
b) Hive
c) Incubator
d) Chuckwa
View Answer
Explanation: YARN is the prerequisite for Enterprise Hadoop, providing resource management and a central platform to deliver consistent operations, security, and data governance tools across Hadoop clusters.
2. Point out the correct statement.
a) YARN also extends the power of Hadoop to incumbent and new technologies found within the data center
b) YARN is the central point of investment for Hortonworks within the Apache community
c) YARN enhances a Hadoop compute cluster in many ways
d) All of the mentioned
View Answer
Explanation: YARN provides ISVs and developers a consistent framework for writing data access applications that run IN Hadoop.
3. YARN’s dynamic allocation of cluster resources improves utilization over more static _______ rules used in early versions of Hadoop.
a) Hive
b) MapReduce
c) Imphala
d) All of the mentioned
View Answer
Explanation: Multi-tenant data processing improves an enterprise’s return on its Hadoop investments.
4. The __________ is a framework-specific entity that negotiates resources from the ResourceManager.
a) NodeManager
b) ResourceManager
c) ApplicationMaster
d) All of the mentioned
View Answer
Explanation: Each ApplicationMaster has the responsibility for negotiating appropriate resource containers from the schedule.
5. Point out the wrong statement.
a) From the system perspective, the ApplicationMaster runs as a normal container
b) The ResourceManager is the per-machine slave, which is responsible for launching the applications’ containers
c) The NodeManager is the per-machine slave, which is responsible for launching the applications’ containers, monitoring their resource usage
d) None of the mentioned
View Answer
Explanation: ResourceManager has a scheduler, which is responsible for allocating resources to the various applications running in the cluster, according to constraints such as queue capacities and user limits.
6. Apache Hadoop YARN stands for _________
a) Yet Another Reserve Negotiator
b) Yet Another Resource Network
c) Yet Another Resource Negotiator
d) All of the mentioned
View Answer
Explanation: YARN is a cluster management technology.
7. MapReduce has undergone a complete overhaul in hadoop is _________
a) 0.21
b) 0.23
c) 0.24
d) 0.26
View Answer
Explanation: The fundamental idea of MRv2 is to split up the two major functionalities of the JobTracker.
8. The ____________ is the ultimate authority that arbitrates resources among all the applications in the system.
a) NodeManager
b) ResourceManager
c) ApplicationMaster
d) All of the mentioned
View Answer
Explanation: The ResourceManager and per-node slave, the NodeManager (NM), form the data-computation framework.
9. The __________ is responsible for allocating resources to the various running applications subject to familiar constraints of capacities, queues etc.
a) Manager
b) Master
c) Scheduler
d) None of the mentioned
View Answer
Explanation: The Scheduler is a pure scheduler in the sense that it performs no monitoring or tracking of status for the application.
10. The CapacityScheduler supports _____________ queues to allow for more predictable sharing of cluster resources.
a) Networked
b) Hierarchical
c) Partition
d) None of the mentioned
View Answer
Explanation: The Scheduler has a pluggable policy plugin, which is responsible for partitioning the cluster resources among the various queues, applications etc.
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