Q. Drill analyze semi-structured/nested data coming from _________ applications.

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Q. Apache _________ provides direct queries on self-describing and semi-structured data in files.

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Q. Drill provides a __________ like internal data model to represent and process data.

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Q. Drill also provides intuitive extensions to SQL to work with _______ data types.

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Q. The Apache Crunch Java library provides a framework for writing, testing, and running ___________ pipelines.

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Q. For Scala users, there is the __________ API, which is built on top of the Java APIs.

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Q. The Crunch APIs are modeled after _________ which is the library that Google uses for building data pipelines on top of their own implementation of MapReduce.

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Q. Crunch was designed for developers who understand __________ and want to use MapReduce effectively.

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Q. Hive, Pig, and Cascading all use a _________ data model.

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Q. A __________ represents a distributed, immutable collection of elements of type T.

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Q. ___________ executes the pipeline as a series of MapReduce jobs.

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Q. __________ represent the logical computations of your Crunch pipelines.

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Q. PCollection, PTable, and PGroupedTable all support a __________ operation.

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Q. Crunch uses Java serialization to serialize the contents of all of the ______ in a pipeline definition.

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Q. Inline DoFn that splits a line up into words is an inner class ____________

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Q. DoFns provide direct access to the __________ object that is used within a given Map or Reduce task via the getContext method.

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Q. The top-level ___________ package contains three of the most important specializations in Crunch.

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Q. The Avros class also has a _____ method for creating PTypes for POJOs using Avro’s reflection-based serialization mechanism.

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Q. The ______________ class defines a configuration parameter named LINES_PER_MAP that controls how the input file is split.

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Q. The ________ class allows developers to exercise precise control over how data is partitioned, sorted, and grouped by the underlying execution engine.

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