CrackML by @ml.with.umang
Interview questions / Python & DSA
Python & DSA interview question

Count Monotonic Runs

Count monotonic sequences/runs within an array.

mediumcodingEvidence 77/1001 source reportMeta

The 60-second answer

Use a linear scan that tracks the current trend and closes a run when the trend changes. Target O(n) time and O(1) space.

Build the answer in this order

1
Clarify constraints

Use a linear scan that tracks the current trend and closes a run when the trend changes.

2
Choose the approach

Target O(n) time and O(1) space.

3
Prove complexity

Call out edge cases such as equal adjacent values, length-1 input, alternating direction, and definition of maximal run.

4
Test edge cases

Explain the invariant before coding, then dry-run a small case and state time/space complexity.

A useful interview mental model

This is the shape of a strong answer—not a script to memorize.

01Clarify
02Approach
03Implement
04Test
05Complexity

Senior-level signal

  • Clarify whether equal values extend, break, or reset a run; the prompt's definition drives the state machine.
  • Express the solution as state transitions and prove each element is processed once.

What the interviewer is really testing

Problem decomposition, correctness, data-structure choice, complexity reasoning, and clean implementation under pressure.

Likely follow-up questions

Can you improve the time or space complexity?
Which edge case is most likely to break this solution?
How would you test this under interview time pressure?

Common weak-answer patterns

  • Starting to code before constraints are clear.
  • Giving complexity without explaining why it is correct.
  • Skipping adversarial and boundary cases.