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Which of the following problems CANNOT be efficiently solved using the Data Stream as Disjoint Intervals pattern?

easy🔍 Pattern Recognition Q2 of Q15
Intervals - Data Stream as Disjoint Intervals
Which of the following problems CANNOT be efficiently solved using the Data Stream as Disjoint Intervals pattern?
AMaintaining a list of disjoint intervals as numbers arrive in a stream
BMerging overlapping intervals after batch insertion
CTracking continuous ranges of integers seen so far in a stream
DCounting the maximum number of overlapping intervals at any point
Step-by-Step Solution
Solution:

  1. Step 1: Analyze problem requirements

    Counting maximum overlaps requires interval overlap counting, not disjoint interval maintenance.

  2. Step 2: Identify pattern mismatch

    Data Stream as Disjoint Intervals maintains disjoint intervals, but does not count overlaps or track continuous ranges with duplicates.

  3. Final Answer:

    Option D -> Option D

  4. Quick Check:

    Counting overlaps is not supported by disjoint interval maintenance [OK]
Quick Trick: Overlap counting ≠ disjoint interval maintenance [OK]
Common Mistakes:
MISTAKES
  • Assuming all interval problems fit this pattern
Trap Explanation:
PITFALL
  • Candidates confuse interval merging with overlap counting, which requires different data structures.
Interviewer Note:
CONTEXT
  • Tests anti-pattern recognition and understanding of problem boundaries.
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