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| Section | Weight | Objectives |
|---|---|---|
| Health Rules, Alerts, and Dashboards | 20% | - Custom dashboards and reporting - Creating and managing health rules - Alert configuration and actions |
| Troubleshooting and Performance Analysis | 15% | - Identifying bottlenecks and root causes - Remediation and optimization steps - Analyzing call graphs and snapshots |
| Business Transactions | 25% | - Metrics analysis and baselining - Slow, error, and stalled transaction identification - Transaction detection and configuration |
| Flow Maps and Application Architecture | 20% | - Component dependency visualization - Interpreting flow maps - Environment and topology overview |
| Information Points, Collectors, and Service Endpoints | 20% | - Configuring information points - Service endpoint monitoring - Database and custom collectors |
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NEW QUESTION # 104
A Performance Analyst has a third-party event management system API and wants to use the event management system to send alerts to Level 1.
Which actions are available in the AppDynamics Actions Menu to set this up?
Answer: D
Explanation:
When integrating with a third-party event management system, the Performance Analyst can set up an HTTP Request action within AppDynamics. This allows for the creation of a custom HTTPrequest to the event management system's API, which can be configured to send alerts to Level 1 support or any other designated recipient.
NEW QUESTION # 105
Which format is used to archive dashboard metadata?
Answer: A
Explanation:
AppDynamics dashboard metadata is archived in JSON format. JSON preserves the dashboard's structural and configuration information, including widget definitions, layout, metric references, display settings, data sources, labels, and other properties required to reconstruct the dashboard.
This format is appropriate because dashboard metadata is hierarchical configuration data rather than a flat report. A JSON archive can retain nested relationships among dashboard objects and can be exported, stored in source control, transferred between compatible Controller environments, or used as part of backup and migration procedures.
PDF is intended for rendering a visual report and does not preserve editable dashboard configuration. CSV and XLSX are tabular formats suitable for exporting metric or report data, but they cannot accurately represent the complete object structure and layout of a custom dashboard.
Therefore, when the objective is to archive the dashboard definition itself rather than merely capture its displayed output, JSON is the correct format.
Relevant CAAPA Study Guide topics include Custom Dashboards, Dashboard Import and Export, Metadata Archiving, JSON Configuration, Controller Migration, and Dashboard Backup Procedures.
NEW QUESTION # 106
Which three Key Performance Indicators (KPIs) are automatically collected when you create an Information Point without adding custom data? (Choose three.)
Answer: D,E,F
Explanation:
When an Information Point is created, AppDynamics automatically collects three core method-level KPIs:
Response Time, Errors per Minute, and Calls per Minute.
Response Time measures how long the configured class and method take to execute. This enables the Performance Analyst to identify degradation in a critical internal operation and compare current behavior with historical trends or baselines.
Errors per Minute records the rate at which executions of the Information Point encounter errors. This provides direct visibility into failures associated with the monitored method, even when that method is not itself a Business Transaction entry point.
Calls per Minute measures invocation frequency. It is useful for tracking operational activity such as cache access, pricing calculations, order processing, or calls to a business-critical internal service.
Minimum Response Time, Maximum Response Time, and CPU Time are not the three standard KPIs automatically generated for an Information Point in this context. Additional business values can be collected separately by configuring custom data or custom metrics.
Relevant CAAPA Study Guide topics include Information Points, Method-Level Monitoring, Calls per Minute, Response Time, Errors per Minute, Custom Data, Custom Metrics, and Baseline Comparison.
NEW QUESTION # 107
Which type of Data Collector will capture code data such as method arguments, variables, and return values?
Answer: C
Explanation:
The " Method Invocation Data Collector " is specifically designed to capture code-level data such as method arguments, variables, and return values. This type of data collector enables deep visibility into the execution of methods within transactions, providing valuable insights into the application ' s behavior and performance.
This detailed level of monitoring is essential for diagnosing complex issues and understanding the inner workings of business transactions.
References:
AppDynamics documentation on Data Collectors: Details the types of data collectors available, including Method Invocation Data Collectors, and how they can be used to capture detailed code-level data.
NEW QUESTION # 108
Which built-in scheduled report Includes load, response time, and error graphs?
Answer: B
Explanation:
The "Application Health Report" is a built-in scheduled report in AppDynamics that includes vital metrics such as load, response time, and error graphs. This report provides a comprehensive overview of the application's health and performance, making it an essential tool for Performance Analysts to regularly review and share with stakeholders to ensure the application meets performance standards and user expectations.
References:
AppDynamics documentation on Reporting: Covers the types of reports available within AppDynamics, including the Application Health Report, detailing its contents and how to schedule and customize it.
AppDynamics documentation on Application Performance Management: Provides an overview of key performance indicators and metrics critical for assessing application health, many of which are included in the Application Health Report.
NEW QUESTION # 109
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