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The life cycle of application can vary but it can not be one the following:
Runs forever
Runs as long as session is active
Runs as long as users workfload is executing
Runs based on the schedule
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1 YARN - Why?
2 YARN - We need to process 1 million images. Processing includes reading...
3 YARN - We need to process 1 million images. Processing includes reading...
4 YARN - Evolution from MapReduce 1.0
5 YARN - In mapreduce 1.0, who is the manager of shop floor?...
6 YARN - You could run the services that run forever using Hadoop...
7 YARN - Which one is not a component of YARN?...
8 YARN - Which one not an advantage of YARN?...
9 YARN - If a task tracker goes down during processing of a...
10 YARN - In mapreduce 1.0, who performs the actual task?...
11 YARN - Architecture
12 YARN - The client interacts with Which component of YARN first?...
13 YARN - Which of the following components of YARN run forever?...
14 YARN - An application can have multiple containers?...
15 YARN - Who runs the workload?...
16 YARN - Who enforces the security constraints on the users workfload?...
17 YARN - Who acts like the client?...
18 Yarn - More On Architecture
19 YARN - The life cycle of application can vary but it can...
20 YARN - The resource request to resource manager of YARN does not...
21 YARN - Resources
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