YARN interview questions

12 YARN questions from the Big Data bank, written for Indian campus drives and tech interviews. Every question has a verified answer and an AI-tutor explanation on placd.

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1. What is ResourceManager?

Junior
  1. A.the YARN component that globally schedules cluster resources
  2. B.the YARN per-node agent managing containers
  3. C.Spark keeps data in memory across stages instead of writing to disk each step
  4. D.the per-application YARN process negotiating resources and coordinating tasks

Answer + AI explanation with Pro

2. Which term means: "the YARN component that globally schedules cluster resources"?

Junior
  1. A.ResourceManager
  2. B.why Spark beats MapReduce
  3. C.ApplicationMaster
  4. D.NodeManager

Answer + AI explanation with Pro

3. Which statement is correct?

Junior
  1. A.ResourceManager — the YARN component that globally schedules cluster resources
  2. B.ResourceManager — Spark keeps data in memory across stages instead of writing to disk each step
  3. C.ResourceManager — the per-application YARN process negotiating resources and coordinating tasks
  4. D.ResourceManager — the YARN per-node agent managing containers

Answer + AI explanation with Pro

4. What is NodeManager?

Junior
  1. A.the per-application YARN process negotiating resources and coordinating tasks
  2. B.Spark keeps data in memory across stages instead of writing to disk each step
  3. C.the YARN component that globally schedules cluster resources
  4. D.the YARN per-node agent managing containers

Answer + AI explanation with Pro

5. Which term means: "the YARN per-node agent managing containers"?

Junior
  1. A.NodeManager
  2. B.ResourceManager
  3. C.ApplicationMaster
  4. D.why Spark beats MapReduce

Answer + AI explanation with Pro

6. Which statement is correct?

Junior
  1. A.NodeManager — Spark keeps data in memory across stages instead of writing to disk each step
  2. B.NodeManager — the per-application YARN process negotiating resources and coordinating tasks
  3. C.NodeManager — the YARN component that globally schedules cluster resources
  4. D.NodeManager — the YARN per-node agent managing containers

Answer + AI explanation with Pro

7. What is ApplicationMaster?

Junior
  1. A.the per-application YARN process negotiating resources and coordinating tasks
  2. B.the YARN component that globally schedules cluster resources
  3. C.the YARN per-node agent managing containers
  4. D.Spark keeps data in memory across stages instead of writing to disk each step

Answer + AI explanation with Pro

8. Which term means: "the per-application YARN process negotiating resources and coordinating tasks"?

Junior
  1. A.ResourceManager
  2. B.NodeManager
  3. C.ApplicationMaster
  4. D.why Spark beats MapReduce

Answer + AI explanation with Pro

9. Which statement is correct?

Junior
  1. A.ApplicationMaster — the YARN per-node agent managing containers
  2. B.ApplicationMaster — the per-application YARN process negotiating resources and coordinating tasks
  3. C.ApplicationMaster — Spark keeps data in memory across stages instead of writing to disk each step
  4. D.ApplicationMaster — the YARN component that globally schedules cluster resources

Answer + AI explanation with Pro

10. What is why Spark beats MapReduce?

Mid
  1. A.the YARN per-node agent managing containers
  2. B.the per-application YARN process negotiating resources and coordinating tasks
  3. C.the YARN component that globally schedules cluster resources
  4. D.Spark keeps data in memory across stages instead of writing to disk each step

Answer + AI explanation with Pro

11. Which term means: "Spark keeps data in memory across stages instead of writing to disk each step"?

Mid
  1. A.why Spark beats MapReduce
  2. B.ApplicationMaster
  3. C.NodeManager
  4. D.ResourceManager

Answer + AI explanation with Pro

12. Which statement is correct?

Mid
  1. A.why Spark beats MapReduce — the YARN per-node agent managing containers
  2. B.why Spark beats MapReduce — the YARN component that globally schedules cluster resources
  3. C.why Spark beats MapReduce — Spark keeps data in memory across stages instead of writing to disk each step
  4. D.why Spark beats MapReduce — the per-application YARN process negotiating resources and coordinating tasks

Answer + AI explanation with Pro

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