Scenario: A data pipeline in your organization experienced a sudden increase in latency, impacting downstream processes. How would you diagnose the root cause of this issue using monitoring tools?
- Analyze Historical Trends, Perform Capacity Planning, Review Configuration Changes, Conduct Load Testing
- Monitor System Logs, Examine Network Traffic, Trace Transaction Execution, Utilize Profiling Tools
- Check Data Integrity, Validate Data Sources, Review Data Transformation Logic, Implement Data Sampling
- Update Software Dependencies, Upgrade Hardware Components, Optimize Query Performance, Enhance Data Security
Diagnosing a sudden increase in latency requires analyzing system logs, examining network traffic, tracing transaction execution, and utilizing profiling tools. These actions can help identify bottlenecks, resource contention issues, or inefficient code paths contributing to latency spikes. Historical trend analysis, capacity planning, and configuration reviews are essential for proactive performance management but may not directly address an ongoing latency issue. Similarly, options related to data integrity, data sources, and data transformation logic are more relevant for ensuring data quality than diagnosing latency issues.
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