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

Limited Time Offer

25%

Off

Get Premium HDPCD Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Junita

10 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.

upvoted 0 times

...

Sharmaine

10 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?

upvoted 0 times

Viki

9 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?

upvoted 0 times

...

Amber

9 months ago

F) CSV

upvoted 0 times

...

Erasmo

9 months ago

E) XML

upvoted 0 times

...

Leah

9 months ago

C) JSON

upvoted 0 times

...

Linn

9 months ago

B) Avro

upvoted 0 times

...

Yolande

9 months ago

A) SequenceFiles

upvoted 0 times

...

Winifred

10 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.

upvoted 0 times

...

Kate

10 months ago

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

upvoted 0 times

Elvis

9 months ago

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

upvoted 0 times

...

Sheridan

9 months ago

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

upvoted 0 times

...

Paris

9 months ago

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

upvoted 0 times

...

Denise

9 months ago

F) CSV

upvoted 0 times

...

Shaun

9 months ago

E) XML

upvoted 0 times

...

Mariann

9 months ago

D) HTML

upvoted 0 times

...

Timmy

9 months ago

C) JSON

upvoted 0 times

...

An

9 months ago

B) Avro

upvoted 0 times

...

Maryanne

10 months ago

A) SequenceFiles

upvoted 0 times

...

Brice

10 months ago

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

upvoted 0 times

Elin

10 months ago

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

upvoted 0 times

...

Leonida

10 months ago

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

upvoted 0 times

...

Selma

11 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.

upvoted 0 times

...

Elly

11 months ago

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

upvoted 0 times

...

Valentin

11 months ago

I agree with Leonor, Avro is a good choice for storing data in HDFS and processing it with MapReduce.

upvoted 0 times

...

Leonor

12 months ago

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

upvoted 0 times

...