Debugging Production Memory Leaks | Dataford Interview Questions

Explain your approach to debugging a memory leak in a production environment.

Implement a deterministic leak-detection heuristic over memory snapshots. Each snapshot maps an allocation category to its live-object count; a category is a candidate when its count never decreases and its final count exceeds its initial count by at least min_growth.

Implement detect_leak_candidates(snapshots, min_growth) and return candidate categories in lexicographic order. Missing categories count as zero.

Constraints

1 <= len(snapshots) <= 1000
Each snapshot is a dictionary mapping strings to non-negative integers
A category may be missing from any snapshot
0 <= min_growth <= 10^9
Return categories in lexicographic order

Function Signature

def detect_leak_candidates(snapshots, min_growth):

Your question is Debugging Production Memory Leaks. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.

Problem

Explain your approach to debugging a memory leak in a production environment.

Implement detect_leak_candidates(snapshots, min_growth) and return candidate categories in lexicographic order. Missing categories count as zero.

Constraints

1 <= len(snapshots) <= 1000
Each snapshot is a dictionary mapping strings to non-negative integers
A category may be missing from any snapshot
0 <= min_growth <= 10^9
Return categories in lexicographic order

Function Signature

def detect_leak_candidates(snapshots, min_growth):

Your question is Debugging Production Memory Leaks. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.