Welcome to the Planning and Project Management MCQs Page

Dive deep into the fascinating world of Planning and Project Management with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Planning and Project Management, a crucial aspect of Data Warehousing and OLAP. In this section, you will encounter a diverse range of MCQs that cover various aspects of Planning and Project Management, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Data Warehousing and OLAP.

Check out the MCQs below to embark on an enriching journey through Planning and Project Management. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Data Warehousing and OLAP.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Planning and Project Management. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Planning and Project Management MCQs | Page 6 of 10

Explore more Topics under Data Warehousing and OLAP

01

The Compelling Need for Data Warehousing

02

Building Blocks of Data Warehouse 🔒

03

Trends in Data Warehousing 🔒

04

Defining the Business Requirements

05

Requirements as the Driving Force for Data warehousing 🔒

06

Architectural Components 🔒

07

Infrastructure as the Foundation for Data Warehousing 🔒

08

Role of Metadata in Data Warehousing 🔒

09

Principles of Dimensional Modeling

10

Advanced Topics in Dimensional Modeling 🔒

11

Data Extraction,Transformation and Loading 🔒

12

Importance of Data Quality

13

Matching Information to the Classes of Users

14

OLAP in the Data Warehouse 🔒

15

Data Warehousing and the Web 🔒

16

Data Mining Basics 🔒

17

The Physical Design Process 🔒

18

Data Warehouse Deployment 🔒

19

Growth and Maintenance

20

Important Terms and Definitions

Q51.

What is recommended if a particular aspect of the data warehouse project is expected to be the greatest challenge?

Specialized roles to support that aspect

Ignoring that aspect temporarily

Eliminating that aspect from the project

Reducing the scope of the project

Discuss

Answer: (a).Specialized roles to support that aspect Explanation:If a particular aspect of the data warehouse project is expected to be the greatest challenge, it's recommended to have specialized roles to support that aspect.

Q52.

Is there a standard set of basic roles for a data warehouse project?

Yes, there is a standard set of basic roles.

No, there is no standard set of basic roles.

Basic roles depend on the project size.

Basic roles are determined by industry standards.

Discuss

Answer: (b).No, there is no standard set of basic roles. Explanation:There is no standard set of basic roles for a data warehouse project.

Q53.

What are the recommended basic set of roles for a data warehouse project?

Management, development, and support roles

Data acquisition, data storage, and information delivery roles

Project analyst, data administrator, and testing specialist roles

Data modeler, lead architect, and executive sponsor roles

Discuss

Answer: (a).Management, development, and support roles Explanation:The recommended basic set of roles for a data warehouse project includes management, development, and support roles.

Q54.

What is the key factor required for individuals to fill team roles in a data warehouse project?

Project management skills

Strong technical knowledge

Suitable skills and the proper work experience

Familiarity with OLTP systems

Discuss

Answer: (c).Suitable skills and the proper work experience Explanation:Individuals filling team roles in a data warehouse project should possess suitable skills and the proper work experience.

Q55.

What can be done if IT professionals with direct hands-on experience in data warehousing are in short supply?

Delay the project until experienced professionals are available

Hire external consultants for all roles

Provide training to suitable professionals in data warehousing

Simplify the project requirements

Discuss

Answer: (c).Provide training to suitable professionals in data warehousing Explanation:If experienced IT professionals in data warehousing are in short supply, providing training to suitable professionals in data warehousing is a viable solution.

Q56.

What is the general rule regarding the use of external consultants in data warehouse projects?

External consultants are preferred for leading roles.

External consultants should not be used for any roles.

Consultants can only be used for technical roles.

Consultants should only be used for advisory roles.

Discuss

Answer: (a).External consultants are preferred for leading roles. Explanation:The general rule is that external consultants should not be used in leading roles within a data warehouse project.

Q57.

Which team role is responsible for coordinating user and team training?

Project Manager

Lead Architect

Lead Trainer

Business Analyst

Discuss

Answer: (c).Lead Trainer Explanation:The Lead Trainer is responsible for coordinating user and team training in a data warehouse project.

Q58.

What is a critical aspect in filling the roles in a data warehouse project successfully?

Having a large team with diverse skills

Matching the roles with industry standards

Ensuring the project manager comes from outside the organization

Finding individuals with the right abilities, skills, and experience

Discuss

Answer: (d).Finding individuals with the right abilities, skills, and experience Explanation:Filling the roles in a data warehouse project successfully requires finding individuals with the right abilities, skills, and experience to match the roles.

Q59.

In a data warehouse project, how does user interaction with the system differ from typical OLTP applications?

Users interact through GUI screens

Users receive data through regular reports

Users use set reports and queries

Users use the data warehouse directly for queries and analysis

Discuss

Answer: (d).Users use the data warehouse directly for queries and analysis Explanation:In a data warehouse project, users interact with the system directly for queries and analysis, unlike typical OLTP applications.

Q60.

What is the key implication of users using the data warehouse directly and in unforeseen ways?

Users should not participate in the project

Users must be involved in the project from the start

Users should only participate in user acceptance testing

Users should be limited to using predefined reports

Discuss

Answer: (b).Users must be involved in the project from the start Explanation:The implication of users using the data warehouse directly and in unforeseen ways is that they must be involved in the project from the start.

Page 6 of 10

Building Blocks of Data Warehouse 🔒

Trends in Data Warehousing 🔒

Requirements as the Driving Force for Data warehousing 🔒

Architectural Components 🔒

Infrastructure as the Foundation for Data Warehousing 🔒

Role of Metadata in Data Warehousing 🔒

Advanced Topics in Dimensional Modeling 🔒

Data Extraction,Transformation and Loading 🔒

OLAP in the Data Warehouse 🔒

Data Warehousing and the Web 🔒

Data Mining Basics 🔒

The Physical Design Process 🔒

Data Warehouse Deployment 🔒

Welcome to the Planning and Project Management MCQs Page

Planning and Project Management MCQs | Page 6 of 10

Explore more Topics under Data Warehousing and OLAP

The Compelling Need for Data Warehousing

Defining the Business Requirements

Principles of Dimensional Modeling

Importance of Data Quality

Matching Information to the Classes of Users

Growth and Maintenance

Important Terms and Definitions

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