1. What is ResourceManager ? Junior A. a YARN resource lease of memory and CPU on a node in which an application runs a task B. the optional MapReduce function that pre-aggregates map output locally before the shuffle to cut network traffic to reducers C. the YARN master daemon that arbitrates cluster resources among applications via its scheduler D. a YARN scheduler that divides the cluster into hierarchical queues with guaranteed capacities and elastic sharing
2. Which term means: "the YARN master daemon that arbitrates cluster resources among applications via its scheduler"? Junior A. fair scheduler B. Speculative task C. ResourceManager D. Capacity Scheduler
3. Which statement is correct? Junior A. ResourceManager — the MapReduce stage that partitions, sorts, and transfers map outputs to the reducers that consume them B. ResourceManager — a per-application YARN process that negotiates containers from the ResourceManager and coordinates task execution C. ResourceManager — the YARN master daemon that arbitrates cluster resources among applications via its scheduler D. ResourceManager — a YARN scheduler that divides the cluster into hierarchical queues with guaranteed capacities and elastic sharing
4. What is ApplicationMaster ? Junior A. the YARN scheduler that partitions cluster resources into hierarchical queues with guaranteed capacities and elastic sharing of idle resources B. a per-application YARN process that negotiates containers from the ResourceManager and coordinates task execution C. the per-application YARN process that negotiates containers from the ResourceManager and coordinates task execution for that job D. a YARN scheduler that dynamically balances resources so all running applications get, on average, an equal share over time
5. Which term means: "a per-application YARN process that negotiates containers from the ResourceManager and coordinates task execution"? Junior A. Shuffle phase B. Speculative task C. Container D. ApplicationMaster
6. Which statement is correct? Junior A. ApplicationMaster — a per-application YARN process that negotiates containers from the ResourceManager and coordinates task execution B. ApplicationMaster — the optional MapReduce function that pre-aggregates map output locally before the shuffle to cut network traffic to reducers C. ApplicationMaster — a YARN feature that tags nodes, such as GPU machines, so queues can be restricted to run only on matching hardware D. ApplicationMaster — the YARN feature tagging nodes (such as GPU or high-memory) so applications can request scheduling onto specific hardware partitions
7. What is Container ? Junior A. a YARN scheduler action that reclaims containers from over-served queues to satisfy starved queues below their guaranteed capacity B. a YARN resource lease of memory and CPU on a node in which an application runs a task C. a YARN scheduler that divides the cluster into hierarchical queues with guaranteed capacities and elastic sharing D. a YARN scheduler that dynamically balances resources so all running applications get, on average, an equal share over time
8. Which term means: "a YARN resource lease of memory and CPU on a node in which an application runs a task"? Junior A. Container B. ResourceManager C. Capacity Scheduler D. Node labels
9. Which statement is correct? Junior A. Container — the YARN feature tagging nodes (such as GPU or high-memory) so applications can request scheduling onto specific hardware partitions B. Container — the optional MapReduce function that pre-aggregates map output locally before the shuffle to cut network traffic to reducers C. Container — a YARN scheduler that dynamically balances resources so all running applications get, on average, an equal share over time D. Container — a YARN resource lease of memory and CPU on a node in which an application runs a task
10. What is Capacity Scheduler ? Mid A. an optional MapReduce mini-reducer that aggregates map output locally to cut the data shuffled across the network B. a YARN scheduler that dynamically balances resources so all running applications get, on average, an equal share over time C. a YARN scheduler that divides the cluster into hierarchical queues with guaranteed capacities and elastic sharing D. the YARN scheduler that partitions cluster resources into hierarchical queues with guaranteed capacities and elastic sharing of idle resources
11. Which term means: "a YARN scheduler that divides the cluster into hierarchical queues with guaranteed capacities and elastic sharing"? Mid A. combiner B. Combiner C. Fair Scheduler D. Capacity Scheduler
12. Which statement is correct? Mid A. Capacity Scheduler — the YARN scheduler that dynamically balances resources so all running applications get, on average, an equal share over time B. Capacity Scheduler — a YARN scheduler action that reclaims containers from over-served queues to satisfy starved queues below their guaranteed capacity C. Capacity Scheduler — a YARN scheduler that divides the cluster into hierarchical queues with guaranteed capacities and elastic sharing D. Capacity Scheduler — a YARN scheduler that dynamically balances resources so all running applications get, on average, an equal share over time
13. What is Fair Scheduler ? Mid A. a YARN scheduler that dynamically balances resources so all running applications get, on average, an equal share over time B. a YARN scheduler action that reclaims containers from over-served queues to satisfy starved queues below their guaranteed capacity C. the per-application YARN process that negotiates containers from the ResourceManager and coordinates task execution for that job D. the MapReduce stage that partitions, sorts, and transfers map outputs to the reducers that consume them
14. Which term means: "a YARN scheduler that dynamically balances resources so all running applications get, on average, an equal share over time"? Mid A. Fair Scheduler B. fair scheduler C. Capacity Scheduler D. combiner
15. Which statement is correct? Mid A. Fair Scheduler — the optional MapReduce function that pre-aggregates map output locally before the shuffle to cut network traffic to reducers B. Fair Scheduler — a YARN feature that tags nodes, such as GPU machines, so queues can be restricted to run only on matching hardware C. Fair Scheduler — a YARN scheduler that dynamically balances resources so all running applications get, on average, an equal share over time D. Fair Scheduler — the YARN scheduler that partitions cluster resources into hierarchical queues with guaranteed capacities and elastic sharing of idle resources
16. What is Shuffle phase ? Mid A. the YARN feature tagging nodes (such as GPU or high-memory) so applications can request scheduling onto specific hardware partitions B. the MapReduce stage that partitions, sorts, and transfers map outputs to the reducers that consume them C. the YARN scheduler that dynamically balances resources so all running applications get, on average, an equal share over time D. an optional MapReduce mini-reducer that aggregates map output locally to cut the data shuffled across the network
17. Which term means: "the MapReduce stage that partitions, sorts, and transfers map outputs to the reducers that consume them"? Mid A. Container B. ApplicationMaster C. Shuffle phase D. capacity scheduler
18. Which statement is correct? Mid A. Shuffle phase — a YARN scheduler that divides the cluster into hierarchical queues with guaranteed capacities and elastic sharing B. Shuffle phase — a YARN resource lease of memory and CPU on a node in which an application runs a task C. Shuffle phase — the MapReduce stage that partitions, sorts, and transfers map outputs to the reducers that consume them D. Shuffle phase — the YARN master daemon that arbitrates cluster resources among applications via its scheduler
19. What is Combiner ? Mid A. a per-application YARN process that negotiates containers from the ResourceManager and coordinates task execution B. an optional MapReduce mini-reducer that aggregates map output locally to cut the data shuffled across the network C. the optional MapReduce function that pre-aggregates map output locally before the shuffle to cut network traffic to reducers D. a MapReduce duplicate of a slow task launched on another node so the faster attempt can finish the work
20. Which term means: "an optional MapReduce mini-reducer that aggregates map output locally to cut the data shuffled across the network"? Mid A. Combiner B. fair scheduler C. ResourceManager D. capacity scheduler
21. Which statement is correct? Mid A. Combiner — the MapReduce stage that partitions, sorts, and transfers map outputs to the reducers that consume them B. Combiner — an optional MapReduce mini-reducer that aggregates map output locally to cut the data shuffled across the network C. Combiner — the optional MapReduce function that pre-aggregates map output locally before the shuffle to cut network traffic to reducers D. Combiner — the YARN scheduler that dynamically balances resources so all running applications get, on average, an equal share over time
22. What is Node labels ? Senior A. a YARN resource lease of memory and CPU on a node in which an application runs a task B. a YARN feature that tags nodes, such as GPU machines, so queues can be restricted to run only on matching hardware C. a YARN scheduler that divides the cluster into hierarchical queues with guaranteed capacities and elastic sharing D. a per-application YARN process that negotiates containers from the ResourceManager and coordinates task execution
23. Which term means: "a YARN feature that tags nodes, such as GPU machines, so queues can be restricted to run only on matching hardware"? Senior A. capacity scheduler B. Preemption C. Combiner D. Node labels
24. Which statement is correct? Senior A. Node labels — a YARN feature that tags nodes, such as GPU machines, so queues can be restricted to run only on matching hardware B. Node labels — a per-application YARN process that negotiates containers from the ResourceManager and coordinates task execution C. Node labels — the per-application YARN process that negotiates containers from the ResourceManager and coordinates task execution for that job D. Node labels — the YARN master daemon that arbitrates cluster resources among applications via its scheduler
25. What is Preemption ? Senior A. a MapReduce duplicate of a slow task launched on another node so the faster attempt can finish the work B. the per-application YARN process that negotiates containers from the ResourceManager and coordinates task execution for that job C. the YARN scheduler that dynamically balances resources so all running applications get, on average, an equal share over time D. a YARN scheduler action that reclaims containers from over-served queues to satisfy starved queues below their guaranteed capacity
26. Which term means: "a YARN scheduler action that reclaims containers from over-served queues to satisfy starved queues below their guaranteed capacity"? Senior A. Preemption B. Fair Scheduler C. capacity scheduler D. combiner
27. Which statement is correct? Senior A. Preemption — a YARN scheduler action that reclaims containers from over-served queues to satisfy starved queues below their guaranteed capacity B. Preemption — the per-application YARN process that negotiates containers from the ResourceManager and coordinates task execution for that job C. Preemption — a YARN resource lease of memory and CPU on a node in which an application runs a task D. Preemption — a YARN scheduler that divides the cluster into hierarchical queues with guaranteed capacities and elastic sharing
28. What is Speculative task ? Senior A. the MapReduce stage that partitions, sorts, and transfers map outputs to the reducers that consume them B. a per-application YARN process that negotiates containers from the ResourceManager and coordinates task execution C. a MapReduce duplicate of a slow task launched on another node so the faster attempt can finish the work D. the per-application YARN process that negotiates containers from the ResourceManager and coordinates task execution for that job
29. Which term means: "a MapReduce duplicate of a slow task launched on another node so the faster attempt can finish the work"? Senior A. Node labels B. combiner C. Speculative task D. Combiner
30. Which statement is correct? Senior A. Speculative task — a YARN scheduler that divides the cluster into hierarchical queues with guaranteed capacities and elastic sharing B. Speculative task — the per-application YARN process that negotiates containers from the ResourceManager and coordinates task execution for that job C. Speculative task — an optional MapReduce mini-reducer that aggregates map output locally to cut the data shuffled across the network D. Speculative task — a MapReduce duplicate of a slow task launched on another node so the faster attempt can finish the work Showing 30 of 45 YARN & MapReduce questions — the full set, with answers, explanations and an AI tutor on every question, is inside.