adplus-dvertising

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.

frame-decoration

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 9 of 10

Explore more Topics under Data Warehousing and OLAP

Q81.
What is the primary focus when analyzing the details of a real-world successful project?

a.

Guidelines and principles

b.

Project management nuances

c.

Specific success factors

d.

Practical wisdom

Discuss
Answer: (c).Specific success factors Explanation:When analyzing a real-world successful project, the primary focus is on specific success factors.
Q82.
What is emphasized when adopting a practical approach in managing a data warehouse project?

a.

Strict adherence to theoretical principles

b.

Being driven by technology for its sake

c.

Balance between significant and less important activities

d.

Extensive planning and analysis

Discuss
Answer: (c).Balance between significant and less important activities Explanation:A practical approach in managing a data warehouse project emphasizes balancing significant activities against less important ones.
Q83.
What is one of the tips for adopting a practical approach in a data warehouse project?

a.

Controlling each task to the minutest detail

b.

Relying heavily on unproven technologies

c.

Building the architecture after selecting the tools

d.

Minimizing wait times for dependent tasks

Discuss
Answer: (d).Minimizing wait times for dependent tasks Explanation:One of the tips for adopting a practical approach in a data warehouse project is minimizing wait times for dependent tasks.
Q84.
What attracts users to a data warehouse?

a.

Fanciest project scheduling tools

b.

Results, usefulness, and ease of use

c.

Extensive project analysis

d.

Bleeding-edge technology

Discuss
Answer: (b).Results, usefulness, and ease of use Explanation:Users are attracted to a data warehouse by the results, usefulness, and ease of use.
Q85.
What should you establish up front to manage user expectations realistically?

a.

Well-defined, agreed business value

b.

Extensive project analysis

c.

Bleeding-edge technology

d.

Too much planning

Discuss
Answer: (a).Well-defined, agreed business value Explanation:To manage user expectations realistically, you should establish well-defined, agreed business value up front.
Q86.
When planning for a data warehouse, which issues should be considered?

a.

Number of users and queries

b.

Project deadlines

c.

Setting proper expectations, assessing risks, and choosing vendor solutions

d.

Technical specifications

Discuss
Answer: (c).Setting proper expectations, assessing risks, and choosing vendor solutions Explanation:Key issues to consider when planning for a data warehouse include setting proper expectations, assessing risks, and choosing from vendor solutions.
Q87.
What must drive a data warehouse project?

a.

Technology

b.

Budget constraints

c.

Business requirements

d.

Data quality

Discuss
Answer: (c).Business requirements Explanation:Business requirements, not technology, must drive a data warehouse project.
Q88.
What is the consequence of a data warehouse project lacking full support from top management and an enthusiastic executive sponsor?

a.

Delay in project start

b.

Project with little risk

c.

Project that remains experimental

d.

Project doomed to failure from day one

Discuss
Answer: (d).Project doomed to failure from day one Explanation:A data warehouse project without full top management support and an enthusiastic executive sponsor is doomed to failure from day one.
Q89.
When do benefits from a data warehouse typically accrue?

a.

Before users put it to full use

b.

During the planning phase

c.

After users put it to full use

d.

During ROI calculations

Discuss
Answer: (c).After users put it to full use Explanation:Benefits from a data warehouse typically accrue after users put it to full use.
Q90.
Why is user participation considered mandatory for the success of a data warehouse project?

a.

To increase the project's budget

b.

To decrease project complexity

c.

To help with technical specifications

d.

To ensure project success

Discuss
Answer: (d).To ensure project success Explanation:User participation is considered mandatory to ensure the success of a data warehouse project.
Page 9 of 10

Suggested Topics

Are you eager to expand your knowledge beyond Data Warehousing and OLAP? We've curated a selection of related categories that you might find intriguing.

Click on the categories below to discover a wealth of MCQs and enrich your understanding of Computer Science. Happy exploring!

MySQL Database

Enhance your knowledge of relational databases with our MySQL MCQs. Understand...

Hadoop

Dive into the world of big data with our Hadoop MCQs. Cover key concepts including...

Microprocessor

Understand the heart of your computer with our Microprocessor MCQs. Topics include...

R Programming

Unleash the power of statistical computing with our R Programming MCQs. Topics cover...

Wireless and Mobile Communications

Get to grips with modern communication technologies with our Wireless and Mobile...

Big Data Computing

Enhance your understanding of Big Data Computing with our comprehensive MCQs. Explore...

SQL Server

Master Microsoft's database server with our SQL Server MCQs. Topics cover database...

Visual Basic

Enhance your knowledge of Microsoft's event-driven programming language with our...

Python

Dive into one of the most popular languages with our Python MCQs. Understand...