Hortonworks Exam HDPCD Topic 3 Question 57 Discussion

Actual exam question for Hortonworks's HDPCD exam

Question #: 57
Topic #: 3

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

AIntermediate data in streamed across the network from Mapper to the Reduce and is never written to disk.

BInto in-memory buffers on the TaskTracker node running the Mapper that spill over and are written into HDFS.

CInto in-memory buffers that spill over to the local file system of the TaskTracker node running the Mapper.

DInto in-memory buffers that spill over to the local file system (outside HDFS) of the TaskTracker node running the Reducer

EInto in-memory buffers on the TaskTracker node running the Reducer that spill over and are written into HDFS.

Show Suggested Answer

Suggested Answer: B

by Monroe at May 24, 2024, 03:14 AM

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Cornell

11 months ago

XML? Are you kidding me? That's like using a sledgehammer to crack a nut. Keep it simple and go with JSON or Avro. Less markup, more data power!

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Verlene

11 months ago

HTML? What is this, the 90s? You want a format that's optimized for data, not web pages. Definitely not the right choice for this use case.

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Deeanna

10 months ago

F) CSV

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Sonia

10 months ago

E) XML

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Von

10 months ago

C) JSON

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Eun

10 months ago

B) Avro

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Arlene

10 months ago

A) SequenceFiles

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Rebbecca

10 months ago

F) CSV

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Rikki

10 months ago

Avro or JSON would be a better choice for this use case. They are more suitable for data processing.

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Miss

10 months ago

E) XML

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Mignon

10 months ago

I agree. We should consider using a format like Avro or JSON for storing data in HDFS.

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Vallie

10 months ago

Definitely not HTML. It's not optimized for data processing.

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Regenia

10 months ago

C) JSON

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Cathrine

11 months ago

B) Avro

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Willard

11 months ago

A) SequenceFiles

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Vilma

11 months ago

CSV? Really? That's so old-school. You're dealing with images, not spreadsheets. Go with something more modern like Avro or JSON.

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Jamal

11 months ago

Avro, for sure. It's like the Swiss Army knife of data formats - it can do it all! Plus, the name just sounds cool. Who doesn't love a good 'Avro'?

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Pa

11 months ago

Avro is the way to go! It's optimized for large data sets and supports complex data structures. Plus, it integrates seamlessly with MapReduce and Python.

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Roslyn

10 months ago

Using Avro will make it easier for data analysts and data scientists to process the data directly from HDFS.

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Glen

10 months ago

It's great that Avro integrates seamlessly with MapReduce and Python.

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Cyril

11 months ago

Avro is the way to go! It's optimized for large data sets and supports complex data structures. Plus, it integrates seamlessly with MapReduce and Python.

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