Best Practices and Optimization of Hadoop MCQ question and answer with solution | Hadoop MCQs

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

A. Use Hadoop Archive (HAR) files

B. Increase the block size of HDFS

C. Decrease the replication factor of small files

D. Merge small files into larger ones

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

A. Ensures fair distribution of resources

B. Prioritizes tasks based on input size

C. Allocates resources based on task complexity

D. Randomly assigns resources to tasks

A. By replicating data across multiple nodes

B. By increasing the block size of HDFS

C. By compressing data in HDFS

D. By decreasing the replication factor

A. Data Replication

B. Speculative Execution

C. Block Size

D. Compression Codec

A. Increase the number of Combiners

B. Decrease the number of Combiners

C. Use Combiners only for map tasks

D. Use Combiners for both map and reduce tasks

A. Ensures fair distribution of resources

B. Prioritizes tasks based on input size

C. Provides guaranteed capacity to specific users

D. Randomly assigns resources to tasks

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

A. Optimizes data locality by considering rack information

B. Balances data across racks

C. Allocates more resources to specific racks

D. Randomly assigns tasks to racks