Troubleshoot Intermittent Latency | Dataford Interview Questions

A trading application is experiencing intermittent latency. Walk through your troubleshooting steps at Balyasny Asset Management.

Implement the measurable analysis step: group trace durations by component, compute each component's nearest-rank 95th percentile, keep components whose percentile strictly exceeds the threshold, and return at most the two highest-latency components.

Use def rank_latency_components(traces, threshold_ms):. Each trace is a dictionary with string component and integer duration_ms; return a list of [component, p95_duration] pairs sorted by descending percentile, then component name.

Constraints

1 <= len(traces) <= 500
1 <= len(traces) for each component group
0 <= traces[i]["duration_ms"] <= 10^9
0 <= threshold_ms <= 10^9
Each trace contains exactly the keys "component" and "duration_ms"
Return at most two components

Function Signature

def rank_latency_components(traces, threshold_ms):

Your question is Troubleshoot Intermittent Latency. 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

A trading application is experiencing intermittent latency. Walk through your troubleshooting steps at Balyasny Asset Management.

Constraints

1 <= len(traces) <= 500
1 <= len(traces) for each component group
0 <= traces[i]["duration_ms"] <= 10^9
0 <= threshold_ms <= 10^9
Each trace contains exactly the keys "component" and "duration_ms"
Return at most two components

Function Signature

def rank_latency_components(traces, threshold_ms):

Your question is Troubleshoot Intermittent Latency. 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.