Q. ___________ part of the MapReduce is responsible for processing one or more chunks of data and producing the output results.

View solution

Q. _________ function is responsible for consolidating the results produced by each of the Map() functions/tasks.

View solution

Q. Although the Hadoop framework is implemented in Java, MapReduce applications need not be written in ____________

View solution

Q. ________ is a utility which allows users to create and run jobs with any executables as the mapper and/or the reducer.

View solution

Q. __________ maps input key/value pairs to a set of intermediate key/value pairs.

View solution

Q. The number of maps is usually driven by the total size of ____________

View solution

Q. _________ is the default Partitioner for partitioning key space.

View solution

Q. Running a ___________ program involves running mapping tasks on many or all of the nodes in our cluster.

View solution

Q. Mapper implementations are passed the JobConf for the job via the ________ method.

View solution

Q. Input to the _______ is the sorted output of the mappers.

View solution

Q. The right number of reduces seems to be ____________

View solution

Q. The output of the _______ is not sorted in the Mapreduce framework for Hadoop.

View solution

Q. Which of the following phases occur simultaneously?

View solution

Q. Mapper and Reducer implementations can use the ________ to report progress or just indicate that they are alive.

View solution

Q. __________ is a generalization of the facility provided by the MapReduce framework to collect data output by the Mapper or the Reducer.

View solution

Q. _________ is the primary interface for a user to describe a MapReduce job to the Hadoop framework for execution.

View solution

Q. ________ systems are scale-out file-based (HDD) systems moving to more uses of memory in the nodes.

View solution

Q. Hadoop data is not sequenced and is in 64MB to 256MB block sizes of delimited record values with schema applied on read based on ____________

View solution

Q. __________ are highly resilient and eliminate the single-point-of-failure risk with traditional Hadoop deployments.

View solution

Q. HDFS and NoSQL file systems focus almost exclusively on adding nodes to ____________

View solution