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Dynamic Programming - Typical Problems - Implementations in Python - Competitive Exam Level

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Q. In the 0/1 Knapsack problem, what does the dynamic programming table represent?
  • A. Maximum value for each weight limit
  • B. Minimum weight for each value
  • C. Total number of items
  • D. Total weight of items
Q. What is the primary characteristic of a problem that can be solved using dynamic programming?
  • A. Optimal substructure
  • B. Linear structure
  • C. Random access
  • D. Static data
Q. Which dynamic programming technique is used to solve the Coin Change problem?
  • A. Tabulation
  • B. Greedy
  • C. Backtracking
  • D. Brute Force
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