Problem Solving Strategies 1 ( Form 2, Computer Science)

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Quiz on problem solving steps.

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YAKILI LMS

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Problem Solving Strategies 1 ( Form 2, Computer Science)


Froggy Jumps Problem Solving Strategies 1 ( Form 2, Computer Science)Online version Quiz on problem solving steps. by YAKILI LMS 1 What is the expected output for a given problem? a The final result the problem aims to produce. b The simplest code that compiles. c The fastest way to code it. 2 Which is the first thing to identify in a problem? a The problem goal b The preferred language c The color of the UI 3 What do resources include when solving a problem? a Time, tools, and data needed b Only software c Only money 4 Which step is about listing needed materials? a Test the output b Write code c Identify resources 5 Why break a problem into subproblems? a To simplify and manage complexity b To increase length of code c To hide bugs 6 What is a subproblem? a A smaller part of the larger problem b The final answer c A completely different task 7 Which approach helps manage large problems? a Directly code without thinking b Decompose into steps c Skip planning 8 What is feasibility in problem solving? a Whether it looks nice b Whether it fits in one line of code c Whether a plan can be implemented with available resources 9 What does evaluating steps help decide? a The compiler to use b The best strategy c The color scheme 10 What does a strategy in problem solving describe? a A random guess b A decorative diagram c A plan to achieve the solution 11 Which activity is part of 'expected output' analysis? a Ignoring inputs b Defining the target result c Randomly generating data 12 How can you verify the chosen strategy? a Trust intuition alone b Only read the code c Test with representative cases 13 What is a practical resource check? a Ignore data needs b Confirm time, tools, and data availability c Assume unlimited time 14 Which step follows breaking into subproblems? a Solve each subproblem b Skip to final code c Score the problem 15 What does 'combine solutions' achieve? a A partial solution b A complete solution from parts c A redesign of the problem 16 Which is an example of a subproblem? a Sorting a small list as part of a larger task b Printing a message twice c Choosing a font 17 What is the purpose of a plan before coding? a Reduce errors and time b Increase complexity c Avoid testing 18 Which is a good way to choose a strategy? a Choose the first idea b Always copy someone else's solution c Compare possible approaches against constraints 19 What role do inputs play in problem solving? a They define what the output should be b They only confuse the task c They are optional 20 What is ‘abstraction’ in problem solving? a Including all details b Creating fancy graphics c Focusing on essential details, ignoring irrelevant ones 21 Which method helps estimate effort early? a Preliminary rough planning b Ignoring time estimates c Finalizing code first 22 What should you compare when selecting a strategy? a Favorite color b Expected output, time, and resources c Number of lines of code 23 Which is a sign to revise the strategy? a All steps succeed on first try b Repeated failures or unachievable steps c No inputs required 24 How do you test a subproblem solution? a Only once after full build b With targeted test cases c With random guessing 25 What is a 'top-down' design? a Start with the big picture, break down b Start with tiny details c Ignore structure 26 What is 'bottom-up' design? a Build simple parts first, integrate b Skip integration c Plan everything at once 27 Which principle aids problem solving? a Modularity b Monolithic coding c Random guessing 28 Which artifact helps track subproblems? a A music playlist b An essay outline c A task list or Kanban 29 What is a 'solution' in combining subproblems? a A coherent whole from parts b A copy-paste of code c An unrelated module 30 Which activity speeds up problem solving? a Iterative refinement b One-shot approach c Never revisiting ideas 31 What is a 'boundary condition'? a Maximum memory only b The color limit c Limits within which the solution must work 32 How do you ensure solution quality? a Ignore edge cases b Test with diverse scenarios c Test once and trust it 33 What is the value of documenting decisions? a Clarifies reasoning for future work b Wastes time c Unnecessary detail 34 Which skill improves readiness to solve problems? a Copying others’ code b Blind guessing c Critical thinking 35 What is an 'algorithm' in this context? a A random set of instructions b A finished product c A step-by-step procedure to solve a problem 36 Which practice reduces surprises later? a Early integration testing b No testing at all c Late testing only 37 What should you do if resources run out? a Ask someone else to finish b Give up immediately c Reassess and adapt the plan 38 Which is a benefit of breaking down tasks? a Longer runtimes without gain b Easier debugging c More complexity 39 What is a pragmatic check during solving? a Is the approach feasible now? b Does it look fancy? c Will it be perfect later? 40 How do you handle multiple subproblems? a Solve all at once b Solve them in logical order and combine c Ignore dependencies 41 What is a 'control variable' in a plan? a A factor you hold constant to test effects b A variable you ignore c The final result only 42 Which activity improves reliability? a Automated testing b Manual testing only c Skip tests to save time 43 What describes a good problem statement? a Vague and open-ended b Clear, specific, and measurable c Only in code comments 44 Which is a cue to re-plan? a New constraints appear b Nothing changes c You finish early 45 Why document input assumptions? a Slows down progress b Prevents misinterpretation later c Is optional 46 What is iterative improvement? a Increase complexity each time b Do it once and stop c Repeat cycles to enhance the solution 47 Which tool helps organize subproblems? a A music chart b Flowchart or outline c A random diagram 48 What should a good final check include? a Verify output against expected results b Only check style c Skip verification 49 How can you reduce risk in planning? a Identify high-risk steps early b Delay risk analysis c Ignore risks 50 What is 'traceability' in solving? a Tracking code size b Counting lines of comments c Mapping requirements to solution parts

Problem Solving Strategies 1 ( Form 2, Computer Science)

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Problem Solving Strategies 1 ( Form 2, Computer Science)Online version

by YAKILI LMS

What is the expected output for a given problem?

Which is the first thing to identify in a problem?

What do resources include when solving a problem?

Which step is about listing needed materials?

Why break a problem into subproblems?

What is a subproblem?

Which approach helps manage large problems?

What is feasibility in problem solving?

What does evaluating steps help decide?

What does a strategy in problem solving describe?

Which activity is part of 'expected output' analysis?

How can you verify the chosen strategy?

What is a practical resource check?

Which step follows breaking into subproblems?

What does 'combine solutions' achieve?

Which is an example of a subproblem?

What is the purpose of a plan before coding?

Which is a good way to choose a strategy?

What role do inputs play in problem solving?

What is ‘abstraction’ in problem solving?

Which method helps estimate effort early?

What should you compare when selecting a strategy?

Which is a sign to revise the strategy?

How do you test a subproblem solution?

What is a 'top-down' design?

What is 'bottom-up' design?

Which principle aids problem solving?

Which artifact helps track subproblems?

What is a 'solution' in combining subproblems?

Which activity speeds up problem solving?

What is a 'boundary condition'?

How do you ensure solution quality?

What is the value of documenting decisions?

Which skill improves readiness to solve problems?

What is an 'algorithm' in this context?

Which practice reduces surprises later?

What should you do if resources run out?

Which is a benefit of breaking down tasks?

What is a pragmatic check during solving?

How do you handle multiple subproblems?

What is a 'control variable' in a plan?

Which activity improves reliability?

What describes a good problem statement?

Which is a cue to re-plan?

Why document input assumptions?

What is iterative improvement?

Which tool helps organize subproblems?

What should a good final check include?

How can you reduce risk in planning?

What is 'traceability' in solving?