Clock
Test duration:
20
min
Notes
No. of questions:
10
Tie
Level of experience:
Entry-level/Mid/Senior

Data Mining Test

Our Data Mining online test helps recruiter and hiring managers to assess Data Mining skills of candidates effortlessly. The test evaluates candidate's knowledge on Data Processing, Data Warehouse and OLAP Technology, Data Preprocessing, Mining Frequent Patterns, Data Cleaning, Data Reduction, Data Mining Process, Data Integration and Transformation. Online Data Mining knowledge test is useful for hiring job-fit Data Mining Analyst, Data Mining Specialist, Data Mining Consultant and Data Mining Expert. The test has proven to reduce time-to-hire by 45%.

15502
+
Candidates
Assessed
123
+
Organizations Served
Fujitsu
Paypal
Capgemini
Deloitte
Coupa
UN Logo
Vanguard
EY Logo
About

Data Mining Test

Our Data Mining Online Test helps recruiters and hiring managers to effectively assess the skills of the Data Mining analyst before an interview. Data Mining is the computational process of discovering patterns in the form of large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics and database systems.

This Data Mining Online Test is designed to check the development and programming skills of Data Mining Developer- as per industry Standards.  

This Data Mining knowledge test is designed and validated by our experienced Subject Matter Experts (SME) to evaluate the candidate’s knowledge about Data Mining basics before hiring. Using powerful reporting, you can have a detailed analysis of the test results to help you make a better hiring decision and predict the candidate’s performance.

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How it works

Test Summary

This Data Mining Interview Test enables employers and recruiters to identify potential data Mining Consultants and Specialists by evaluating working skills and job readiness. For this reason, the emphasis is laid upon evaluating the knowledge of applied skills gained through real work experience rather than theoretical knowledge.

Data Mining Assessment Test may contain MCQs (Multiple Choice Questions), MAQ (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.

Test Duration
20
No. of Questions
10
Level of Expertise
Entry-level/Mid/Senior
Useful for hiring
  • Data Mining Analyst
  • Data Mining Specialist
  • Data Mining Consultant
  • Data Mining Expert
Topics Covered
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Data Processing

The pre-hire test assesses candidate&

Mining Frequent Patterns

The online technical skills test checks candidate’s ability to understand Association Rule Mining
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Data Warehouse and OLAP Technology

The test evaluates candidate’s understanding of Online Analytical Processing Server (OLAP). It allows managers and analysts to get an insight into information through fast, consistent, and interactive access to information
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Data Preprocessing

iMocha’s skills test assesses candidates&
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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:

Data Validation

Difficulty:

Easy

Question:

When applying for a credit card, candidates may be asked to provide their driver’s license number. Candidates who do not have a driver’s license may naturally leave this field blank. Forms should allow candidates to fill in the blank field. Which field is more likely suitable for the given credit card analogy?


Options

  • "Not allowed"
  • "Not available"
  • "Not applicable"
  • "Not open"
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Mobile Programming
FAQ
What is Data Science?
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