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Hortonworks Exam HDPCD Topic 3 Question 62 Discussion

Actual exam question for Hortonworks's Hortonworks Data Platform Certified Developer exam
Question #: 62
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?

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Suggested Answer: B

Contribute your Thoughts:

Sharmaine
21 hours ago
HTML? Really? I thought this was a data storage question, not a web design exam. Let's stick to the actual file formats, shall we?
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Winifred
2 days ago
CSV is a classic choice, but it might not be the best for complex data structures. I'd say Avro or JSON are better options here.
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Kate
6 days ago
I'd go with JSON. It's human-readable, easy to parse, and widely supported by data tools.
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Brice
12 days ago
Avro, definitely! It's a compact, efficient, and schema-based format that works great with MapReduce and Python.
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Selma
23 days ago
I think CSV would be a good option as it is simple and easy to work with for data analysts and data scientists.
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Elly
1 months ago
I prefer JSON because it is human-readable and widely supported by programming languages like Python.
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Valentin
1 months ago
I agree with Leonor, Avro is a good choice for storing data in HDFS and processing it with MapReduce.
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Leonor
2 months ago
I think we should use Avro because it supports schema evolution and is efficient for MapReduce processing.
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