What happens if mapper output does not match reducer input?
1. Hadoop API will convert the data to the type that is needed by the reducer. 2. Data input/output inconsistency cannot occur. A preliminary validation check is executed prior to the full execution of the job to ensure there is consistency. 3. Access Mostly Uused Products by 50000+ Subscribers 4. A real-time exception will be thrown and map-reduce job will fail
Explanation: Reducers are based on the mappers output and Java is a strongly typed language. Therefore, an exception will be thrown at run-time if types do not much.
Question :
Can you provide multiple input paths to a map-reduce jobs? 1. Yes, but only in Hadoop 0.22+ 2. No, Hadoop always operates on one input directory 3. Access Mostly Uused Products by 50000+ Subscribers 4. Yes, but the limit is currently capped at 10 input paths.
Explanation: The Hadoop framework is capable of taking different input paths and assigning different mappers for each one. This is a very convenient way of writing different mappers to handle various datasets
Question :
Can you assign different mappers to different input paths?
1. It is a column family database 2. Can store massive amount of data like Terabytes 3. It gives high throughput 4. All of the above
Question : Which of the statement is wrong about HBase 1. Tables can have thousands of columns 2. It is not mendatory to have data in all the columns 3. It does not support transaction 4. All of the above 5. None of the above