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Online Apache Hadoop YARN Assessment Test
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Test duration:
20
min
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No. of questions:
10
Tie
Level of experience:

Apache Hadoop YARN Test

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About

Online Apache Hadoop YARN Assessment Test

Apache Hadoop YARN is the resource management and job scheduling technology in the open-source Hadoop distributed processing framework. YARN (Yet Another Resource Negotiator) is responsible for allocating system resources to the various applications running in a Hadoop cluster and scheduling tasks to be executed on different cluster nodes. It is mainly the prerequisite for Enterprise Hadoop which provides resource management and a central platform to deliver consistent operations, security, and data governance tools across Hadoop clusters.

Apache Hadoop YARN skill test helps recruiters and hiring managers to screen the candidates who have expertise in package management, working with dependencies, linking workspaces. Our Apache Hadoop YARN assessment test is created and validated by experienced subject matter experts (SMEs) to assess and hire YARN experts as per industry standards. Apache Hadoop YARN skill test will evaluate a candidate’s practical knowledge and will identify whether the candidate is ready to be employed.

Apache Hadoop YARN online test helps to screen the candidates who possess traits as follows:      

1.  Experience with big data software solution      

2.  Expertise in managing the full life-cycle of a Hadoop solution      

3.  Ability to work in a fast-paced agile development environment      

4.  Fundamental knowledge on how to document use cases, solutions, and recommendations      

5.  Ability to articulate the pros and cons of various technologies and platforms

iMocha’s Apache Hadoop YARN assessment test has a unique set of questions. You can also create or ask us to create a customized test that includes questions that are specific to your job requirement. Our powerful reporting helps you to analyze section wise performance of candidate to gauge his strengths and weaknesses. Moreover, you can always use our candidate ranking tool to screen the best performing candidate amongst others.

Our online Apache Hadoop YARN test offers webcam proctoring to help you identify whether the candidate has used unfair means to take the test.

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Test Summary

Test Duration
20
No. of Questions
10
Level of Expertise
Useful for hiring
  • Hadoop Developer - YARN
  • Big Data engineer - YARN
  • Big data analyst - YARN
Topics Covered
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Sample Question
Choose from our 100,000+ questions library or add your own questions to make powerful custom tests.

Question types :

Multiple Option

Topic:

Difficulty:

Hard


Q 1. You have been asked to train « Naive Bayes model for spam detection dataset

Using Python command, what wil you add in the given code at XXXX to deciore, it and train your modal for the given dataset?

import numpy os np

X= nporroyll 3. 2b[1 21 [2.21.[3,21)
Y= nporray(fi.a,a.1))

XXXX

from skinamnaive_bayas import

Gaussianna

otf = Gaussianne()

ceataie(x ¥)

from skinamnaive_bayas import

Gaussianna

otf = Gaussianne()

ceataie(x ¥)

from skinamnaive_bayas import

Gaussianna

otf = Gaussianne()

ceataie(x ¥)

from skinamnaive_bayas import

Gaussianna

otf = Gaussianne()

ceataie(x ¥)

Question types :

Multiple Option

Topic:

Machine teaming

Difficulty:

Hard


Q 1. Q2 Lets assume that you have 6 Pandas DataFrome(af) in the below tole.

Index Code Open High
0 AAPL 19877 70074
1 AAPL 19877 70074
2 AAPL 19877 70074
3 AAPL 19877 70074
4 AAPL 19877 70074

When the following commend is executed, what hoppens to the DatoFrome?

df= defiinat()
Y= nporray(fi.a,a.1))

Index Code Open High
0 AAPL 19877 70074
1 AAPL 19877 70074
2 AAPL 19877 70074
3 AAPL 19877 70074
4 AAPL 19877 70074
Index Code Open High
0 AAPL 19877 70074
1 AAPL 19877 70074
2 AAPL 19877 70074
3 AAPL 19877 70074
4 AAPL 19877 70074
it gives an error becouse of the third row which has on empty string.
None of these

Question types :

Multiple Option

Topic:

Unlinking packages in Yarn

Difficulty:

Hard

Question:

Consider that in the development environment there are 2 directories: bootstrap and bootstrap-extensions.
The bootstrap directory linked within the bootstrap-extensions project.

Based on this, which of the following alternatives unlink the bootstrap package from the bootstrap-extensions package?


Options

  • cd ../bootstrap-extensions<br />yarn ln bootstrap --remove
  • cd ../bootstrap-extensions<br />yarn unlink bootstrap
  • cd ../bootstrap-extensions<br />yarn rm bootstrap
  • cd ../bootstrap-extensions<br />yarn unlink bootstrap --remove-dep
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