Computer Knowledge
Software Development and Management
3,064 Questions
Software development and management focuses on the system development life cycle, enterprise architecture, and configuration management. It tests your familiarity with system analysis, design models, and IT project planning. This subject is essential for specialist and banking officer scale examinations.
System analysis and designSoftware development life cycleConfiguration managementEnterprise architectureObject oriented design
Software Development and Management Questions
How can mathematical software help to improve the manufacturability of engineering and design projects?
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By allowing engineers and designers to optimize the design for manufacturing
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By reducing the need for physical prototyping
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By increasing the accuracy of engineering and design calculations
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All of the above
D
Correct answer
Explanation
Mathematical software can help to improve the manufacturability of engineering and design projects by allowing engineers and designers to optimize the design for manufacturing, reducing the need for physical prototyping, and increasing the accuracy of engineering and design calculations.
Which of the following is NOT a way that mathematical software can help to improve the maintainability of engineering and design projects?
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By allowing engineers and designers to create detailed documentation
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By providing a platform for engineers and designers to collaborate on maintenance tasks
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By increasing the accuracy of engineering and design calculations
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By reducing the need for physical prototyping
C
Correct answer
Explanation
Mathematical software can help to improve the maintainability of engineering and design projects by allowing engineers and designers to create detailed documentation and by providing a platform for engineers and designers to collaborate on maintenance tasks.
How can mathematical software help to improve the reliability of engineering and design projects?
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By allowing engineers and designers to identify potential failure modes
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By reducing the need for physical prototyping
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By increasing the accuracy of engineering and design calculations
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All of the above
D
Correct answer
Explanation
Mathematical software can help to improve the reliability of engineering and design projects by allowing engineers and designers to identify potential failure modes, reducing the need for physical prototyping, and increasing the accuracy of engineering and design calculations.
Which of the following is NOT a way that mathematical software can help to improve the performance of engineering and design projects?
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By allowing engineers and designers to optimize the design for performance
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By reducing the need for physical prototyping
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By increasing the accuracy of engineering and design calculations
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By providing a platform for engineers and designers to collaborate on performance improvement tasks
C
Correct answer
Explanation
Mathematical software can help to improve the performance of engineering and design projects by allowing engineers and designers to optimize the design for performance, reducing the need for physical prototyping, and providing a platform for engineers and designers to collaborate on performance improvement tasks.
How can mathematical software help to improve the cost-effectiveness of engineering and design projects?
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By allowing engineers and designers to optimize the design for cost
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By reducing the need for physical prototyping
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By increasing the accuracy of engineering and design calculations
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All of the above
D
Correct answer
Explanation
Mathematical software can help to improve the cost-effectiveness of engineering and design projects by allowing engineers and designers to optimize the design for cost, reducing the need for physical prototyping, and increasing the accuracy of engineering and design calculations.
What are the two main methodologies used in Six Sigma?
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DMAIC and DFSS
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Lean and Agile
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TQM and ISO 9001
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PDCA and Kaizen
A
Correct answer
Explanation
Six Sigma primarily utilizes two methodologies: DMAIC (Define, Measure, Analyze, Improve, Control) and DFSS (Design for Six Sigma). DMAIC is employed for improving existing processes, while DFSS is used for designing new processes or products with Six Sigma principles embedded from the outset.
What is the primary focus of DFSS?
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Improving existing processes
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Designing new processes or products with Six Sigma principles
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Monitoring and controlling improved processes
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All of the above
B
Correct answer
Explanation
DFSS (Design for Six Sigma) primarily focuses on designing new processes or products with Six Sigma principles embedded from the outset. It aims to create processes and products that are inherently defect-free and meet customer requirements, reducing the need for rework or corrective actions.
What is the relationship between Six Sigma and Lean Manufacturing?
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They are competing methodologies
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They are complementary methodologies
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They are unrelated methodologies
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None of the above
B
Correct answer
Explanation
Six Sigma and Lean Manufacturing are complementary methodologies that can be used together to achieve significant improvements in process efficiency and quality. Six Sigma focuses on reducing defects and improving quality, while Lean Manufacturing focuses on eliminating waste and improving productivity. By combining the strengths of both methodologies, organizations can achieve substantial operational improvements.
Which of the following is NOT a key phase in the Data Warehousing Project Management lifecycle?
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Planning
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Execution
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Control
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Deployment
D
Correct answer
Explanation
Deployment is not a key phase in the Data Warehousing Project Management lifecycle. The key phases are Planning, Execution, and Control.
Which of the following is NOT a typical activity performed during the Execution phase of Data Warehousing Project Management?
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Data extraction and transformation
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Data loading
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Data quality assurance
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User acceptance testing
D
Correct answer
Explanation
User acceptance testing is typically not performed during the Execution phase of Data Warehousing Project Management. It is typically performed during the Control phase.
Which of the following is NOT a key skill required for successful Data Warehousing Project Management?
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Technical expertise
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Project management skills
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Communication skills
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Business acumen
A
Correct answer
Explanation
Technical expertise is not a key skill required for successful Data Warehousing Project Management. While it is important to have a basic understanding of data warehousing technology, it is more important to have strong project management skills, communication skills, and business acumen.
What is the recommended approach for managing project risks in Data Warehousing Project Management?
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Identify and prioritize project risks
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Develop and implement risk mitigation strategies
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Monitor and track project risks
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All of the above
D
Correct answer
Explanation
The recommended approach for managing project risks in Data Warehousing Project Management is to identify and prioritize project risks, develop and implement risk mitigation strategies, and monitor and track project risks.
Which of the following is NOT a typical project deliverable in Data Warehousing Project Management?
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Data warehouse design document
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Data extraction and transformation scripts
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Data quality reports
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User documentation
D
Correct answer
Explanation
User documentation is not a typical project deliverable in Data Warehousing Project Management. It is typically developed by the business team after the project is completed.
What is the recommended approach for managing project changes in Data Warehousing Project Management?
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Identify and assess the impact of the change
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Develop and implement a change management plan
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Communicate the change to stakeholders
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All of the above
D
Correct answer
Explanation
The recommended approach for managing project changes in Data Warehousing Project Management is to identify and assess the impact of the change, develop and implement a change management plan, and communicate the change to stakeholders.
Which of the following is NOT a key factor to consider when selecting a Data Warehousing Project Management methodology?
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Project size and complexity
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Project timeline and budget
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Stakeholder preferences
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Availability of resources
C
Correct answer
Explanation
Stakeholder preferences are not a key factor to consider when selecting a Data Warehousing Project Management methodology. The key factors to consider are project size and complexity, project timeline and budget, and availability of resources.