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

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

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

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

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

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

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

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

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

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Q. The right number of reduces seems to be ____________

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

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Q. Which of the following phases occur simultaneously?

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

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

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

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

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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 ____________

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

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

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Q. Which is the most popular NoSQL database for scalable big data store with Hadoop?

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