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
Which of the following is a common quality control tool used in manufacturing?
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Statistical process control (SPC)
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Gage repeatability and reproducibility (GR&R)
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Failure mode and effects analysis (FMEA)
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All of the above
D
Correct answer
Explanation
Statistical process control (SPC), gage repeatability and reproducibility (GR&R), and failure mode and effects analysis (FMEA) are all common quality control tools used in manufacturing.
What is the key feature of the MATLAB Simulink environment?
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Real-Time Signal Processing
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Data Visualization
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Model-Based Design
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Machine Learning Algorithms
C
Correct answer
Explanation
MATLAB Simulink is a graphical programming environment that enables model-based design and simulation of dynamic systems, including signal processing systems.
Which engineering organizations are actively promoting bilingualism or multilingualism?
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IEEE
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ASME
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ABET
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All of the above
D
Correct answer
Explanation
IEEE, ASME, and ABET are among the engineering organizations that are actively promoting bilingualism or multilingualism.
Which of the following is NOT a step in the CQI process?
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Identify and prioritize areas for improvement
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Develop and implement quality improvement initiatives
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Monitor and evaluate the effectiveness of quality improvement initiatives
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Celebrate successes and share lessons learned
D
Correct answer
Explanation
Celebrating successes and sharing lessons learned is not a step in the CQI process, as it is more of an outcome or result of successful quality improvement efforts.
Which of the following is an example of a technical report in engineering?
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A progress report summarizing the status of an ongoing project
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A white paper discussing the latest trends in a particular field
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A blog post sharing personal experiences and opinions
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A short story exploring the emotional journey of an engineer
A
Correct answer
Explanation
Technical reports in engineering are formal documents that present the results of research, investigations, or analyses, such as progress reports, feasibility studies, and test reports.
Group technology is based on the principle of:
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Part similarity
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Process similarity
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Material similarity
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Design similarity
A
Correct answer
Explanation
Group technology is based on the principle of part similarity, which involves grouping parts that have similar design features, manufacturing processes, and material requirements.
Which of the following is a common method for identifying part families in group technology?
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Visual inspection
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Clustering analysis
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Function analysis
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Value analysis
B
Correct answer
Explanation
Clustering analysis is a statistical technique used to identify part families by grouping parts based on their similarities in design features, manufacturing processes, and material requirements.
Which of the following is a key consideration when designing a group technology cell?
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Part flow
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Equipment layout
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Material handling
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All of the above
D
Correct answer
Explanation
When designing a group technology cell, it is important to consider part flow, equipment layout, material handling, and other factors to ensure efficient and effective production.
What is the term used to describe the integration of engineering principles with computer science?
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Computer Engineering
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Software Engineering
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Information Technology
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Data Science
A
Correct answer
Explanation
Computer engineering combines engineering principles with computer science to design and develop computer systems, hardware, and software.
What is the primary role of machine learning in systems engineering?
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To automate the design and development of systems
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To improve the performance and efficiency of systems
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To enable systems to learn and adapt to changing conditions
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To provide decision support to systems engineers
B
Correct answer
Explanation
Machine learning is primarily used in systems engineering to improve the performance and efficiency of systems by enabling them to learn from data and adapt to changing conditions.
How can machine learning models be integrated into systems?
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As standalone components
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As embedded components within systems
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As cloud-based services
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All of the above
D
Correct answer
Explanation
Machine learning models can be integrated into systems in various ways, including as standalone components, as embedded components within systems, and as cloud-based services.
What are some of the challenges associated with using machine learning in systems engineering?
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Data availability and quality
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Model selection and training
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Interpretability and explainability of models
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All of the above
D
Correct answer
Explanation
There are several challenges associated with using machine learning in systems engineering, including data availability and quality, model selection and training, and interpretability and explainability of models.
What are some of the opportunities presented by using machine learning in systems engineering?
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Improved system performance and efficiency
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Enhanced system autonomy and decision-making
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Reduced system development time and cost
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All of the above
D
Correct answer
Explanation
Machine learning offers several opportunities in systems engineering, including improved system performance and efficiency, enhanced system autonomy and decision-making, and reduced system development time and cost.
Which machine learning technique is commonly used for feature selection in systems engineering?
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Principal Component Analysis (PCA)
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Linear Discriminant Analysis (LDA)
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Recursive Feature Elimination (RFE)
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All of the above
D
Correct answer
Explanation
PCA, LDA, and RFE are all commonly used machine learning techniques for feature selection in systems engineering.
What is the primary goal of using machine learning for system health management?
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To predict system failures
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To detect system anomalies
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To optimize system maintenance schedules
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All of the above
D
Correct answer
Explanation
Machine learning is used for system health management to achieve multiple goals, including predicting system failures, detecting system anomalies, and optimizing system maintenance schedules.