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ECM3434 Business Analysis 1 - Data Modelling

Authored by Vladimir Ryabov

Computers

University

Used 20+ times

ECM3434 Business Analysis 1 - Data Modelling
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10 questions

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1.

MULTIPLE SELECT QUESTION

1 min • 1 pt

Why do we need data modeling in Business Analysis projects? (Select all that apply)

To model data to be created, stored, and manipulated by a system

To understand the required functionality of a system

To understand business rules that govern data creation, storage, manipulation and retrieval in a system

Data models help decrease the development costs of a solution

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Is data modelling exclusively useful for BA projects that involve creating new systems from scratch?

Yes, it is only useful for such projects

No, data modelling is versatile and can aid various BA projects

No, it is only useful for projects involving off-the-shelf solutions

3.

MULTIPLE SELECT QUESTION

1 min • 1 pt

Which of the following are recognized as data modelling techniques or notations? (Select all that apply)

UML class diagram

UML use case diagrams

Chen's notation

IDEF1X

Ellis-Barker notation

4.

MULTIPLE SELECT QUESTION

1 min • 1 pt

Which of the following methods are effective for gathering data necessary for developing data models?

(Select all that apply)

Interviewing stakeholders

Observing business processes

Analysing organisational documentation

Just guessing

Creating and analysing business process models

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What type of data model should be created to understand the main blocks of information and data in the business environment?

Logical data model

Conceptual data model

Physical data model

6.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What type of data model should be created in order to design a data structure in detail, for example, a database?

Conceptual data model

Physical data model

Logical data model

7.

MULTIPLE SELECT QUESTION

1 min • 1 pt

What aspects can business rules define? (Select all that apply)

Organisational policy constraints

Legal and regulatory constraints

Operational procedures

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