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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.

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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 8 of 10

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Q71.
What is a critical aspect of data in the data warehouse?

a.

Technology-oriented project manager

b.

Excessive focus on internal data

c.

User requirements

d.

Data quality

Discuss
Answer: (d).Data quality Explanation:Data quality is a critical aspect of data in the data warehouse.
Q72.
Why is setting expectations at the right and attainable levels important in data warehouse projects?

a.

To promise the world in the first data warehouse project

b.

To ensure frequent changes in project scope

c.

To prevent strong and committed executive sponsorship

d.

To avoid unrealistic project goals

Discuss
Answer: (d).To avoid unrealistic project goals Explanation:Setting expectations at the right and attainable levels is important to avoid unrealistic project goals in data warehouse projects.
Q73.
What is one of the major guiding principles of project management for data warehouse projects?

a.

Extensive use of technology-oriented project managers

b.

Strict adherence to traditional project management methods

c.

Strong and committed executive sponsorship

d.

Focusing on internal data sources

Discuss
Answer: (c).Strong and committed executive sponsorship Explanation:Strong and committed executive sponsorship is one of the major guiding principles for data warehouse project management.
Q74.
What should the project manager's focus be in a data warehouse project?

a.

Technology-oriented project management

b.

Business and user-oriented project management

c.

Budget management

d.

Data quality management

Discuss
Answer: (b).Business and user-oriented project management Explanation:The project manager in a data warehouse project should be more business and user-oriented, focusing on meeting the users' needs.
Q75.
What is essential for dealing with the unexpected challenges in data warehouse projects?

a.

Traditional project management methods

b.

Overly rigid project schedules

c.

Innovative project management methods

d.

Minimal user involvement

Discuss
Answer: (c).Innovative project management methods Explanation:Innovative project management methods are essential for dealing with the unexpected challenges in data warehouse projects.
Q76.
What are the three critical aspects of data in a data warehouse project?

a.

Complexity, cost, and speed

b.

Quality, quality, and quality

c.

Quantity, scalability, and availability

d.

Innovation, creativity, and agility

Discuss
Answer: (b).Quality, quality, and quality Explanation:The three critical aspects of data in a data warehouse project are quality, quality, and quality.
Q77.
What is the driving force behind every task on the project schedule for a data warehouse project?

a.

Technology constraints

b.

Data model complexity

c.

User requirements

d.

Budget constraints

Discuss
Answer: (c).User requirements Explanation:User requirements are the driving force behind every task on the project schedule for a data warehouse project.
Q78.
What should you do when you spot a warning sign in your data warehouse project?

a.

Ignore it, as warning signs are usually inconveniences.

b.

Keep a close watch but take no action unless the problem worsens.

c.

Recognize the potential problem and take corrective action.

d.

Take immediate remedial action for all warning signs.

Discuss
Answer: (c).Recognize the potential problem and take corrective action. Explanation:When you spot a warning sign in your data warehouse project, you should recognize the potential problem and take corrective action.
Q79.
What are some indicators of success in a data warehouse project that can be observed within a short time after implementation?

a.

ROI achieved, regardless of the time frame

b.

Rapid decrease in the number of queries and reports

c.

Sophistication of queries remains the same

d.

Rapid increase in the number of queries and reports requested by users

Discuss
Answer: (d).Rapid increase in the number of queries and reports requested by users Explanation:A rapid increase in the number of queries and reports requested by users is an indicator of success in a data warehouse project.
Q80.
What are some key success factors for a data warehouse project?

a.

Extensive use of external consultants in leading roles

b.

Rapid project delivery, regardless of quality

c.

High data extraction and transformation complexity

d.

Increase in the number of active users, decreasing turnaround times, and a higher number of sophisticated queries

Discuss
Answer: (d).Increase in the number of active users, decreasing turnaround times, and a higher number of sophisticated queries Explanation:Key success factors for a data warehouse project include an increase in the number of active users, decreasing turnaround times, and a higher number of sophisticated queries.
Page 8 of 10

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