Hackathon Quiz

What is a key component of effective hackathon planning?

• Randomly assigning tasks to team members

• Setting clear goals and milestones

• Ignoring time constraints

• Avoiding collaboration

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DOK Level 3: Strategic Thinking

Which of the following best describes the time complexity of an algorithm that checks each element in a list exactly once?

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DOK Level 3: Strategic Thinking

During a hackathon, what is a strategic approach to problem-solving when faced with a complex issue?

• Ignoring the problem and hoping it resolves itself

• Breaking the problem into smaller, manageable parts

• Working on multiple problems simultaneously

• Waiting until the last minute to address the issue

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DOK Level 3: Strategic Thinking

Which optimization algorithm is commonly used for finding the shortest path in a graph?

• Bubble Sort

• Dijkstra's Algorithm

• Binary Search

• Quick Sort

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DOK Level 3: Strategic Thinking

What data structure is most efficient for implementing a priority queue in a hackathon project?

• Array

• Linked List

• Heap

• Stack

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DOK Level 3: Strategic Thinking

Which algorithm design pattern involves breaking a problem into subproblems, solving each subproblem, and combining their solutions?

• Greedy Algorithm

• Divide and Conquer

• Dynamic Programming

• Backtracking

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DOK Level 3: Strategic Thinking

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DOK Level 4: Extended Thinking

In the context of hackathon planning, why is it important to conduct a post-mortem analysis after the event?

• To assign blame for failures

• To identify areas for improvement and celebrate successes

• To discourage future participation

• To finalize the project

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DOK Level 4: Extended Thinking

Which data structure would you choose to implement a LIFO (Last In, First Out) system in a hackathon project?

• Queue

• Stack

• Tree

• Graph

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DOK Level 3: Strategic Thinking

What is the primary advantage of using dynamic programming over a greedy algorithm in certain problem-solving scenarios?

• Dynamic programming is always faster

• Dynamic programming guarantees an optimal solution

• Greedy algorithms are more complex to implement

• Greedy algorithms use more memory

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DOK Level 4: Extended Thinking