IBM
C2090-102 · Question #51
You have implemented a large Hadoop MapReduce cluster and the applications and users are multiplying. You are now faced with requests for interactive and streaming data applications while you still…
The correct answer is D. Implement Apache Cassandra to automatically optimize multi-tenancy workloads. See the full explanation below for the reasoning.
Question
You have implemented a large Hadoop MapReduce cluster and the applications and users are multiplying. You are now faced with requests for interactive and streaming data applications while you still need to support the original MapReduce batch Jobs. Select the best option for continued support and performance.
Options
- AJust add several data nodes as Hadoop clusters are designed to scale-up easily
- BKeep your original cluster configuration, all that is needed is re-optimizing the Oozie-workflow
- CImplement Yarn to decouple MapReduce and resource management
- DImplement Apache Cassandra to automatically optimize multi-tenancy workloads
How the community answered
(32 responses)- A6% (2)
- B3% (1)
- C9% (3)
- D81% (26)
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