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Informatica Data Quality Test Assessment
Clock
Test duration:
20
min
Notes
No. of questions:
10
Tie
Level of experience:
Entry/Mid/Expert

Informatica Data Quality Test

iMocha's Informatica Data Quality test enables recruiters and hiring managers to hire a job-fit candidate within a short period & make an unbiased decision. This test helps hire an Informatica Developer in Data Quality. Our data quality test reduces hiring costs by 40%.

13214
+
Candidates
Assessed
122
+
Organizations Served
Fujitsu
Paypal
Capgemini
Deloitte
Coupa
UN Logo
Vanguard
EY Logo
About

Informatica Data Quality Test Assessment

Informatica Data Quality is a highly productive environment used for data cleansing, managing data quality rules, and profiling. Organizations can highly benefit from Informatica Data Quality for proactively monitoring and cleansing the data for all applications. It is mainly used to clean the data and bring it up to the mark. This test is specially designed to check the application and practical skills of an Informatica Data Quality Developer per industry standards.

Our Informatica Data Quality skill test is created and validated by Subject Matter Experts. The Informatica Data Quality skill test enables employers and recruiters to identify potential hires by evaluating working skills and job readiness. For this reason, emphasis is laid upon evaluating the knowledge of applied skills gained through real work experience rather than theoretical knowledge.

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How it works

Test Summary

The Informatica Data Quality test may contain MCQs (Multiple Choice Questions), MAQs (Multiple Answer Questions), Fill in the Blanks, Whiteboard Questions, Audio/Video Questions, Job-based Simulations, True or False Questions, etc.

The Informatica Data Quality test is designed considering EEOC guidelines and will help you assess & hire diverse talent without bias.

Test Duration
20
No. of Questions
10
Level of Expertise
Entry/Mid/Expert
Useful for hiring
  • Informatica Developer - Data Quality
Topics Covered
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Data Masking

iMocha's Informatica Data Quality test helps recruiters and hiring managers to assess a candidate's understanding of data masking, which prevents reading sensitive data from unauthorized users.

Sequence Data Generation

This Informatica Data Quality test helps to evaluate candidates' proficiency in the sequence generation rule, which helps to generate numeric values.
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Rule Simulator

Our test evaluates a candidate's understanding of rule simulation, which simulates getting preview output before assigning the rule to a column.
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Dictionary Data Generation

Our test gauges a candidate's knowledge of dictionary generation, a rule based on a dictionary column created.
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Data Subset

Our test evaluates a candidate's ability to extract a subset of data from the source.
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Data Generation

This test helps to assess an applicant's knowledge of data generation rules and defines how to generate data in the target table.
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 Answer

Topic:

Difficulty:

Easy

Question:

Which of the following consists of Data Quality Engine and Data Quality Repository?

Note: There can be multiple correct answers to this question.


Options

  • Data Quality Workbench
  • Data Quality Server
  • Data Quality Integeration
  • Free Reference Data
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FAQ
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