Online Access Free CCD-410 Exam Questions

To process input key-value pairs, your mapper needs to lead a 512 MB data file in memory. What is the best way to accomplish this?

• A.Serialize the data file, insert in it the JobConf object, and read the data into memory in the configure method of the mapper.
• B.Place the data file in the DataCache and read the data into memory in the configure method of the mapper.
• C.Place the data file in the DistributedCache and read the data into memory in the configure method of the mapper.
• D.Place the data file in the DistributedCache and read the data into memory in the map method of the mapper.

You have just executed a MapReduce job. Where is intermediate data written to after being emitted from the Mapper's map method?

• A.Into in-memory buffers that spill over to the local file system (outside HDFS) of the TaskTracker node running the Reducer
• B.Into in-memory buffers on the TaskTracker node running the Reducer that spill over and are written into HDFS.
• C.Into in-memory buffers on the TaskTracker node running the Mapper that spill over and are written into HDFS.
• D.Intermediate data in streamed across the network from Mapper to the Reduce and is never written to disk.
• E.Into in-memory buffers that spill over to the local file system of the TaskTracker node running the Mapper.

Which process describes the lifecycle of a Mapper?

• A.The JobTracker calls the TaskTracker's configure () method, then its map () method and finally its close () method.
• B.The TaskTracker spawns a new Mapper to process each key-value pair.
• C.The JobTracker spawns a new Mapper to process all records in a single file.
• D.The TaskTracker spawns a new Mapper to process all records in a single input split.

What is the disadvantage of using multiple reducers with the default HashPartitioner and distributing your workload across you cluster?

• A.You will not be able to compress the intermediate data.
• B.There are no concerns with this approach. It is always advisable to use multiple reduces.
• C.By using multiple reducers with the default HashPartitioner, output files may not be in globally sorted order.
• D.You will longer be able to take advantage of a Combiner.

You want to perform analysis on a large collection of images. You want to store this data in HDFS and process it with MapReduce but you also want to give your data analysts and data scientists the ability to process the data directly from HDFS with an interpreted high-level programming language like Python. Which format should you use to store this data in HDFS?

• A.JSON
• B.HTML
• C.SequenceFiles
• D.Avro
• E.XML
• F.CSV