1. What is the primary function of the MapReduce programming model in Hadoop? A. Real-time data processing B. Batch processing of large datasets C. Querying structured data D. High-speed data ingestion Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option B No explanation is given for this question Let's Discuss on Board
2. In the MapReduce model, what does the Map phase handle? A. Data ingestion B. Data processing C. Data storage D. Task scheduling Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option B No explanation is given for this question Let's Discuss on Board
3. What does the Shuffle phase in MapReduce involve? A. Data compression B. Data distribution to reducers C. Data sorting and grouping D. Data storage in HBase Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option C No explanation is given for this question Let's Discuss on Board
4. What is the role of the Combiner in the MapReduce model? A. Data compression B. Combine intermediate key-value pairs on the mapper side C. Aggregate values on the reducer side D. Data sorting and grouping Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option B No explanation is given for this question Let's Discuss on Board
5. Which component in MapReduce is responsible for sorting and grouping data? A. Mapper B. Reducer C. Combiner D. Partitioner Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option B No explanation is given for this question Let's Discuss on Board
6. What is the purpose of the Partitioner in MapReduce? A. Distribute data across multiple nodes B. Aggregate values on the reducer side C. Sort and shuffle data D. Determine the reducer for each key Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option D No explanation is given for this question Let's Discuss on Board
7. In MapReduce, what does the term "Reducer" refer to? A. Task that processes the Map output B. Task that processes the Reduce output C. Task that processes the Map input D. Task that processes the Reduce input Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option B No explanation is given for this question Let's Discuss on Board
8. What is the significance of the Hadoop MapReduce job tracker? A. Manages computation resources B. Manages task execution in MapReduce jobs C. Manages metadata of HDFS D. Executes MapReduce jobs Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option B No explanation is given for this question Let's Discuss on Board
9. What does the MapReduce "Map" function do? A. Processes input key-value pairs B. Aggregates values on the reducer side C. Sorts and groups data D. Distributes data to reducers Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option A No explanation is given for this question Let's Discuss on Board
10. What is the primary purpose of the MapReduce "Reduce" function? A. Sort and shuffle data B. Aggregate values C. Process input key-value pairs D. Distribute data across nodes Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option B No explanation is given for this question Let's Discuss on Board