Clock
Test duration:
20
min
Notes
No. of questions:
15
Tie
Level of experience:
Entry/Mid/Expert

Big Data Assessment Test

iMocha’s Big Data skills test is the preferred pre-employment test for recruiters and hiring managers to hire job-fit candidates for roles such as Big Data Developer, Big Data Specialist, Big Data Expert, Big Data Engineer, and Big Data Consultant. Our test has helped our customers to reduce hiring cost by 40% and increase in interview-to-selection ratio by 62%.

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About

Big Data Assessment Test

Big Data is a data set term that describes the large volume of data for a structured, semi-structured and unstructured type that has the potential to be mined for information. It includes and integrates many new types of data and data management alongside traditional data.

Big Data is also defined by the 4 Vs namely - Volume, Velocity, Variety, Value. A Big Data developer is a person who must have an ability to take the ownership of all business problems and define the right solutions for them. The Big Data developer also needs to interface with the product team to gather, understand and translate requirements into the agile delivery process.

Big Data assessment test helps recruiters and hiring managers to assess candidate’s ability to work on Hadoop, Hive, Pig etc.

iMocha’s Big Data developer assessment test is created & validated by experienced Subject Matter Experts (SME) to assess & hire Big Data developer as per industry standards.

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How it works

Test Summary

<p><strong>Big Data skills assessment test helps you to screen the candidates who possess traits as follows:</strong>&nbsp;</p>

<ul>

<li>Working knowledge of batch frameworks &nbsp;</li>

<li>Strong experience of working on HDFS, Hive, MapReduce, etc.&nbsp;</li>

<li>Excellent in performance tuning and optimization techniques&nbsp;</li>

<li>Understanding of distributed querying, horizontal sharing/data partitioning concepts &nbsp;</li>

</ul>

<p>iMocha&rsquo;s Big Data skills assessment test has a unique set of questions. You can also create or ask us to create a customized test that includes questions which are specific to your job requirement. &nbsp;<br />

<br />

Our powerful reporting helps you to analyze section wise performance of candidate to gauge his/her strengths and weaknesses. Moreover, you can always use our candidate ranking tool to screen the best performing candidate amongst others. &nbsp;<br />

<br />

Big Data skills test will evaluate a candidate&rsquo;s practical knowledge and will identify whether the candidate is ready to be employed. Big Data assessment test can be taken by the candidate from anywhere in the comfort of their time zone.&nbsp;<br />

<br />

Big Data skill test may contain MCQ&#39;s (Multiple Choice Questions), MAQ&#39;s (Multiple Answer Questions), Fill in the Blanks, Descriptive, Whiteboard Questions, Audio / Video Questions, LogicBox (AI-based Pseudo-Coding Platform), Coding Simulations, True or False Questions, etc.&nbsp;</p>

Test Duration
20
No. of Questions
15
Level of Expertise
Entry/Mid/Expert
Useful for hiring
  • Big Data Developer
  • Big Data Specialist
  • Big Data Expert
  • Big Data Engineer
  • Big Data Consultant
Topics Covered
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HDFS

iMocha’s big data assessment test helps recruiters and employers to evaluate candidate’s understanding about Hadoop Distributed File System (HDFS) which is used to handle large data set

Sqoop

Our big data skills assessment test evaluates candidate’s ability to use Sqoop big data tool which is used to transfer data between Hadoop and relational database servers
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Pig

This test evaluates candidate’s understanding about Pig scripting language which is used to analyze large dataset and data manipulation operations
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Oozie

This test evaluates candidate’s understanding about Oozie workflow schedular which combines multiple jobs sequentially into one logical unit of work
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Map Reduce

Our big data skill test assesses candidate’s knowledge about map reduce model that processes vast data set with a parallel or distributed algorithm on a cluster
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Hive

Our test assesses candidate’s proficiency in using hive framework which is used to read, write, and manage large amount of data and process this large data set
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:

Difficulty:

Easy

Question:

Which option can be used to drop a partition in Hive?


Options

  • hive&gt; ALTER TABLE student DROP [IF EXISTS]<br />&gt; PARTITION (year=&rsquo;1991&rsquo;);
  • hive&gt; Modify TABLE student DROP [IF EXISTS]<br />&gt; PARTITION (year=&rsquo;1991&rsquo;);
  • hive&gt; Update TABLE student DROP [IF EXISTS]<br />&gt; PARTITION (year=&rsquo;1991&rsquo;);
  • hive&gt; ALTER TABLE student REMOVE [IF EXISTS]<br />&gt; PARTITION (year=&rsquo;1991&rsquo;);
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