Difficulty: Easy
Correct Answer: A high-fidelity prototype model (solution mock-up)
Explanation:
Introduction / Context:
Structured systems analysis focuses on understanding the problem domain before solution design and implementation. Its deliverables emphasize logical models of processes and data, not fully realized solutions.
Given Data / Assumptions:
Concept / Approach:
Analysis asks “what” the system should do; design and build answer “how.” Detailed prototypes that mimic final behavior and UI are part of design/implementation validation, not core analysis.
Step-by-Step Solution:
1) List standard analysis outputs: DFDs, ERDs, data dictionaries, context diagrams.2) Identify which item belongs to later phases: high-fidelity prototype model.3) Select the prototype as the atypical analysis deliverable.
Verification / Alternative check:
Many methodologies (e.g., SSADM) reserve substantial prototyping for design/build, while permitting low-fidelity sketches during analysis if needed.
Why Other Options Are Wrong:
DFDs, ERDs, and data dictionaries are canonical analysis artifacts; context/logical models likewise belong to analysis.
Common Pitfalls:
Premature solutioning—jumping into implementation details before finalizing logical requirements.
Final Answer:
A high-fidelity prototype model (solution mock-up).
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