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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Health Rules, Dashboards, and Snapshots | 20% | - Create and configure health rules - Locate and analyze snapshots - Create and interpret dashboards |
| Topic 2: Collectors, Information Points, and Service Endpoints | 25% | - Configure information points and service endpoints - Analyze service endpoint metrics - Define and configure data collectors |
| Topic 3: Business Transactions | 20% | - Determine transaction scope and rule assignment - Create and configure business transaction settings - Manage discovery and analyze transaction metrics |
| Topic 4: Agents and Application Performance | 20% | - Monitor performance trends - Troubleshoot performance problems - Verify agent functionality, performance, and connectivity - Determine application performance impact and scheduled reports - Configure alerts and identify system performance metrics |
| Topic 5: Troubleshooting | 15% | - Identify slow performance and errors from backend systems - Utilize dashboards to identify performance issues - Capture snapshots and troubleshoot health rule violations |
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NEW QUESTION # 18
When should URI Segments be used in Transaction Detection rules?
Answer: D
Explanation:
URI Segments should be used in Transaction Detection rules when the application is web-oriented. Web- oriented applications often have meaningful information in the URI that can identify different business transactions. URI Segments can help in defining patterns that match specific parts of the URI to distinguish different transactions.
References:
AppDynamics documentation on Transaction Detection: https://docs.appdynamics.com/latest/en/application- monitoring/business-transactions
NEW QUESTION # 19
Which data type can be collected as custom data by an Information Point?
Answer: C
Explanation:
An AppDynamics Information Point can collect String values as custom data. Information Points instrument selected application methods so that analysts can monitor method-level performance and capture business context without defining the method as a complete Business Transaction.
Custom data is typically extracted from a method argument, return value, object field, or getter chain. The resulting String value can provide contextual information such as an order category, customer type, transaction status, product identifier, or processing state. This data is associated with the monitored method execution and can support detailed troubleshooting and business-level analysis.
Numeric values such as integers or floating-point numbers are generally treated as candidates for custom metrics, where AppDynamics can aggregate and report values over time. Boolean values are not the designated custom-data type for this Information Point configuration. The distinction is therefore between textual custom data, represented as a String, and numerical measurements intended for metric aggregation.
Relevant CAAPA Study Guide topics include Information Points, Method-Level Monitoring, Getter Chains, Custom Data Collection, Custom Metrics, Method Arguments, Return Values, and Business Context Capture.
NEW QUESTION # 20
A Performance Analyst has an urgent need to gather more data for an ongoing issue. What should the Performance Analyst do?
Answer: D
Explanation:
If a Performance Analyst has an urgent need to gather more data for an ongoing issue, they should enable Development Level Monitoring. This monitoring level increases the amount of detailed diagnostic data collected by the agent, such as snapshots and transaction traces, which can provide deeper insights into the issue at hand.
References:
AppDynamics documentation on Monitoring Levels: Describes the different levels of monitoring available, including Development Level Monitoring and the types of data each level collects.
NEW QUESTION # 21
Which permission allows snapshot archiving?
Answer: C
Explanation:
The permission to enable snapshot archiving in AppDynamics typically falls under advanced operational capabilities, such as those categorized under "Agent Advanced Operation." This permission allows users to archive transaction snapshots for long-term storage and analysis, which is essential for historical performance analysis and auditing purposes.
References:
AppDynamics documentation on Role-Based Access Control: Explains the different permissions and roles within AppDynamics, including those related to advanced agent operations and snapshot archiving.
NEW QUESTION # 22
A Performance Analyst has decided to replace a Servlet Business Transaction with a Service Endpoint. There were no Business Transaction Custom Match Rules, and the analyst created a Business Transaction Custom Exclude Rule matching the transaction URI. The analyst also created a Service Endpoint Custom Match Rule matching the URI. Which statement is true?
Answer: C
Explanation:
The custom exclude rule prevents the servlet request from being registered and monitored as a Business Transaction, while the Service Endpoint custom match rule independently instruments the matching URI as a Service Endpoint. AppDynamics therefore continues to collect Service Endpoint metrics, including average response time, calls per minute, and errors, allowing the analyst to monitor the service's performance without consuming a Business Transaction registration.
The excluded request does not produce normal Business Transaction snapshots, so the analyst cannot rely on snapshot call graphs to inspect the Service Endpoint or its downstream exit calls. Exit-point visibility is normally obtained through Business Transaction snapshots and call graphs.
EUM correlation also depends on the server-side request being represented as a correlated Business Transaction. A standalone Service Endpoint does not replace that Business Transaction correlation path and therefore cannot provide equivalent browser or mobile EUM linkage.
Relevant CAAPA Study Guide topics include Service Endpoint Detection, Custom Service Endpoint Match Rules, Business Transaction Exclude Rules, Service Endpoint Metrics, Transaction Snapshots, Exit Calls, and EUM Correlation.
NEW QUESTION # 23
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