Which of the following problems CANNOT be solved using the 0/1 Knapsack dynamic programming pattern?

easy🔍 Pattern Recognition Q2 of Q15

Dynamic Programming: Knapsack - 0/1 Knapsack Problem

ASelecting items to maximize value without exceeding weight capacity

BChoosing a subset of tasks with deadlines and profits to maximize total profit

CFinding the maximum value subset of items where each item can be chosen at most once

DSelecting fractions of items to maximize value within capacity

Step-by-Step Solution

Solution:

Step 1: Understand 0/1 Knapsack constraints
Items are indivisible and can be included or excluded entirely.
Step 2: Identify problem types
Fractional knapsack allows partial items, solved greedily, not by 0/1 knapsack DP.
Final Answer:
Option D -> Option D
Quick Check:
Fractional items break 0/1 knapsack assumptions [OK]

Quick Trick: Fractional items -> not 0/1 knapsack

Common Mistakes:

MISTAKES

Trap Explanation:

PITFALL

Interviewer Note:

CONTEXT

Master "0/1 Knapsack Problem" in Dynamic Programming: Knapsack

3 interactive learning modes - each teaches the same concept differently

Want More Practice?

15+ quiz questions · All difficulty levels · Free

More Dynamic Programming: Knapsack Quizzes