Hortonworks Exam HDPCD Topic 3 Question 57 Discussion

Actual exam question for Hortonworks's Hortonworks Data Platform Certified Developer exam

Question #: 57
Topic #: 3

[All Hortonworks Data Platform Certified Developer Questions]

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?

ASequenceFiles

BAvro

CJSON

DHTML

EXML

FCSV

Show Suggested Answer

Suggested Answer: B

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

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Cornell

3 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

3 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

1 months ago

F) CSV

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Sonia

1 months ago

E) XML

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Von

1 months ago

C) JSON

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Eun

1 months ago

B) Avro

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Arlene

2 months ago

A) SequenceFiles

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Rebbecca

2 months ago

F) CSV

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Rikki

2 months ago

User3: Avro or JSON would be a better choice for this use case. They are more suitable for data processing.

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Miss

2 months ago

E) XML

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Mignon

2 months ago

User2: I agree. We should consider using a format like Avro or JSON for storing data in HDFS.

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Vallie

2 months ago

User1: Definitely not HTML. It's not optimized for data processing.

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Regenia

2 months ago

C) JSON

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Cathrine

2 months ago

B) Avro

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Willard

2 months ago

A) SequenceFiles

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Vilma

3 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

3 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

3 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

2 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

2 months ago

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

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Cyril

2 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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