OATS Performance Testing Test

Assesses the ability to create and manage log groups and log streams, including setting retention policies. Topics include configuring log collection using CloudWatch Logs Agent and CloudWatch Logs Insights for log aggregation and querying. Also covers troubleshooting applications using log filters, extracting key metrics from logs, and understanding the role of log data in security and compliance efforts (e.g., VPC Flow Logs, Lambda Logs). The test evaluates a candidate’s capability to utilize logs for in-depth analysis and issue resolution.

Evaluates skills in configuring alarms based on CloudWatch metrics to monitor AWS resources. Includes setting up thresholds, periods, and actions for triggering alarms when performance deviates from expected values. Also covers the integration of alarms with AWS services like Auto Scaling, EC2, SNS, and Lambda for automated responses to resource utilization changes or system anomalies. Advanced questions focus on composite alarms, alarm states, and alarm-driven automation workflows for cost optimization and operational efficiency.

Examines the ability to create event-driven monitoring systems that automatically respond to AWS resource state changes or API calls. Questions cover defining event patterns, setting up rules, and configuring targets to trigger automated responses. Topics include event source integration with services like S3, Lambda, and EC2, as well as custom event buses for multi-account monitoring. Advanced questions explore cross-account event sharing and security implications of event management.

Covers the design and creation of CloudWatch dashboards for visualizing system metrics and operational data in real time. Includes questions on how to use widgets, such as line charts, number widgets, and text annotations, to create customized views of operational health. Advanced topics focus on multi-account dashboards, cross-region visualization, and integrating external metrics into dashboards for a holistic monitoring view. Also covers best practices for organizing and sharing dashboards across teams for enhanced collaboration and decision-making.

Evaluates the ability to write queries in CloudWatch Logs Insights to analyze log data, identify patterns, and extract valuable insights for application performance and troubleshooting. Covers syntax for queries, filtering, aggregating logs, and using operators like regex. Advanced questions focus on building complex queries for real-time analytics, detecting security anomalies, and leveraging log data to identify root causes of system failures.

Focuses on the installation, configuration, and customization of the CloudWatch Agent for collecting system-level metrics and custom logs from EC2 instances, on-premises servers, and containers. Topics include agent configuration files, IAM roles, and permissions required for the agent to function. Advanced topics cover multi-platform deployment, custom metric collection, and troubleshooting issues related to agent performance, such as high CPU or memory usage.

Tests knowledge of using CloudWatch Synthetics to create canaries that monitor the availability and functionality of web applications and APIs. Includes writing canary scripts, managing canary runs, and configuring alarms for failed tests. Advanced topics cover simulating real-world user traffic, monitoring API endpoints, integrating with Lambda for custom checks, and troubleshooting canary performance in production environments.

Assesses the ability to use CloudWatch Contributor Insights for analyzing high-cardinality datasets to identify top contributors to performance issues. Includes creating rules for capturing and analyzing performance data, visualizing trends, and detecting outliers or anomalous behavior. Advanced questions focus on configuring Contributor Insights for large-scale distributed systems, fine-tuning rules for specific applications, and integrating insights into incident management processes.

Focuses on integrating CloudWatch with AWS Lambda and SNS for building automated monitoring and alerting workflows. Topics include setting up alarms to trigger Lambda functions, using SNS for notifications and alerts, and automating system recovery using CloudWatch rules and Lambda. Advanced questions explore event-driven automation, cross-service orchestration, and implementing cost-effective, scalable monitoring solutions using Lambda and SNS.