The Cisco 500-430 CAPI (Cisco AppDynamics Professional Implementer) exam covers topics related to the implementation and configuration of the AppDynamics platform, including pre-deployment planning, platform installation and administration, agent configuration and installation, monitoring application performance, troubleshooting issues, and creating custom dashboards and reports.
Key areas covered in the 500-430 CAPI exam:
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Pre-deployment Planning:
- Understanding business needs and application requirements
- Identifying key performance indicators (KPIs)
- Architecture design and sizing considerations
- Deployment strategy and environment selection
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Platform Installation and Administration:
- Installing and configuring the AppDynamics Controller
- Managing user accounts and permissions
- Setting up licensing and maintenance
- Network configuration and connectivity
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Agent Configuration and Installation:
- Installing AppDynamics agents on various application tiers (web servers, application servers, databases)
- Configuring agent settings for optimal performance monitoring
- Troubleshooting agent installation and connectivity issues
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Application Performance Monitoring (APM):
- Monitoring application health and performance metrics (response times, throughput, error rates)
- Identifying performance bottlenecks and root causes
- Analyzing application code execution paths (call graphs)
- Using transaction tracing for detailed analysis
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Custom Dashboard Creation:
- Designing and creating customized dashboards for key business insights
- Visualizing performance data using charts and graphs
- Setting up alerts and notifications based on performance thresholds
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Troubleshooting and Problem Resolution:
- Analyzing performance anomalies and identifying potential issues
- Debugging application errors and performance bottlenecks
- Using AppDynamics features to isolate and resolve problems
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Advanced Features:
- Implementing custom instrumentation for specific application components
- Utilizing distributed tracing for complex application architectures
- Leveraging synthetic monitoring for end-user experience analysis
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