Hortonworks Exam HDPCD Topic 3 Question 62 Discussion

Actual exam question for Hortonworks's HDPCD exam

Question #: 62
Topic #: 3

You need to run the same job many times with minor variations. Rather than hardcoding all job configuration options in your drive code, you've decided to have your Driver subclass org.apache.hadoop.conf.Configured and implement the org.apache.hadoop.util.Tool interface.

Indentify which invocation correctly passes.mapred.job.name with a value of Example to Hadoop?

Ahadoop ''mapred.job.name=Example'' MyDriver input output

Bhadoop MyDriver mapred.job.name=Example input output

Chadoop MyDrive --D mapred.job.name=Example input output

Dhadoop setproperty mapred.job.name=Example MyDriver input output

Ehadoop setproperty (''mapred.job.name=Example'') MyDriver input output

Show Suggested Answer

Suggested Answer: B

by Oretha at Jul 19, 2024, 12:52 AM

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Junita

8 months ago

XML? Hmm, I thought we were trying to avoid bloat and complexity. Avro or JSON seem like the way to go for this use case.

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Sharmaine

8 months 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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Viki

6 months 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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Amber

7 months ago

F) CSV

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Erasmo

7 months ago

E) XML

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Leah

7 months ago

C) JSON

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Linn

7 months ago

B) Avro

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Yolande

7 months ago

A) SequenceFiles

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Winifred

8 months 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

8 months ago

I'd go with JSON. It's human-readable, easy to parse, and widely supported by data tools.

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Elvis

6 months ago

JSON it is then. It's versatile and fits our requirements.

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Sheridan

6 months ago

I agree, JSON is a popular format for storing data in HDFS.

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Paris

7 months ago

JSON is a good choice for that. It's flexible and works well with Python.

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Denise

7 months ago

F) CSV

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Shaun

7 months ago

E) XML

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Mariann

7 months ago

D) HTML

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Timmy

7 months ago

C) JSON

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An

7 months ago

B) Avro

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Maryanne

7 months ago

A) SequenceFiles

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Brice

8 months ago

Avro, definitely! It's a compact, efficient, and schema-based format that works great with MapReduce and Python.

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Elin

7 months ago

I agree, it's a great choice for working with MapReduce and Python.

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Leonida

8 months ago

Avro is definitely the way to go for storing data in HDFS.

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Selma

8 months 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

9 months ago

I prefer JSON because it is human-readable and widely supported by programming languages like Python.

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Valentin

9 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

9 months ago

I think we should use Avro because it supports schema evolution and is efficient for MapReduce processing.

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