Clock
Test duration:
20
min
Notes
No. of questions:
10
Tie
Level of experience:

Erwin Data Modeler Test

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About

Erwin Data Modeler Test

Erwin is a leading tool that allows database engineers to enter their entity-relationship (ER) diagrams in a graphical method. It also helps to generate physical database strategies for standard relational database management systems such as Microsoft SQL Server and Oracle. 

It supports a pattern of database strategy features, including modeling of data, forward engineering, and reverse engineering for a wide-ranging variety of relational DBMS, including Oracle, Microsoft Access, Sybase, and DB2. The Erwin data modeler test helps technical recruiters and hiring managers to assess a candidate's ability to work on the Erwin data modeler. 

Erwin data modeler competency test is created and validated by experienced industry experts to assess and hire Erwin data modeler as per the industry standards. Erwin data modeler screening test evaluates a candidate's practical knowledge and will identify whether the candidate is ready to be employed. 

Candidates can take the Erwin data modeler test from anywhere in the comfort of their time zone. A competency test for Erwin data modeler helps screen the candidates who possess traits as follows: 

  1. Excellent experience handling all ER diagrams
  2. Capability to create/maintain conceptual, logical, and physical data models
  3. Familiarity with analysis of content and quality of data model(s) and databases
  4. Knowledge of SQL database systems (including entities, attributes, and relationships)
  5. Ability to manage the complex data in the Erwin tool smoothly

iMocha's comprehensive reporting will help you overview the candidate's performance in each section within a glance. The candidate feedback module will ensure candidates have excellent experience with iMocha.

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Test Summary

Erwin data modeler screening test may contain MCQs (Multiple Choice Questions), MAQs (Multiple Answer Questions), Fill in the Blanks, Whiteboard Questions, Audio/Video Questions, AI-LogicBox (AI-based essay evaluation), Job-based Simulations, True or False Questions, etc.

Erwin data modeler competency test is designed with consideration of EEOC guidelines for candidate assessment. It will help you to assess and hire diverse talent without any bias.

Test Duration
20
No. of Questions
10
Level of Expertise
Useful for hiring
  • Erwin Data Modeler
  • Data Architect- Erwin
  • Data Modeler Engineer
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:

Design

Difficulty:

Mediam

Question:

While designing a data model for an insurance company , we came across the situation where we are making relationship between customer entity and dependent entity(the one who are dependent on customer) for which the company is providing insurance but the primary key of dependent entity is comprised or primary key of customer and a partial key ? why is there such situation in the data model?


Options

  • Dependent entity is a strong entity , hence the behaviour.
  • Dependent entity is a weak entity , hence the behaviour.
  • Customer entity is a weak entity , hence the behaviour.
  • Our design approach is wrong.
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