How does Hadoop handle speculative execution at the task level?
A. By running a copy of the task on another node
B. By increasing the task timeout period
C. By ignoring speculative execution
D. By reducing the replication factor
Answer: Option A
This Question Belongs to Hadoop >> Best Practices And Optimization Of Hadoop
What is a common optimization technique to improve Hadoop MapReduce performance?
A. Increase block size
B. Decrease block size
C. Maintain the default block size
D. Use fewer mappers
Which compression codec is commonly used for optimizing storage in Hadoop?
A. Gzip
B. Snappy
C. Bzip2
D. LZO
What is the purpose of Hadoop speculative execution?
A. To handle speculative workloads
B. To minimize resource usage
C. To mitigate the impact of slow-running tasks
D. To speed up task completion
How can data skew in a Hadoop job be addressed for optimization?
A. Increase the number of reducers
B. Decrease the number of reducers
C. Use a combiner function
D. Use a custom partitioner
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