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| Section | Weight | Objectives |
|---|---|---|
| Flow Maps and Application Architecture | 20% | - Environment and topology overview - Component dependency visualization - Interpreting flow maps |
| Troubleshooting and Performance Analysis | 15% | - Identifying bottlenecks and root causes - Remediation and optimization steps - Analyzing call graphs and snapshots |
| Health Rules, Alerts, and Dashboards | 20% | - Alert configuration and actions - Creating and managing health rules - Custom dashboards and reporting |
| Business Transactions | 25% | - Metrics analysis and baselining - Slow, error, and stalled transaction identification - Transaction detection and configuration |
| Information Points, Collectors, and Service Endpoints | 20% | - Service endpoint monitoring - Database and custom collectors - Configuring information points |
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NEW QUESTION # 102
Which option should a Performance Analyst use in an environment where virtual machines are routinely created and destroyed?
Answer: A
Explanation:
In environments where virtual machines are frequently created and destroyed, using the agent configuration properties-Dappdynamics.agent.reuse.nodeNameand-Dappdynamics.agent.reuse.nodeName.prefixcan be beneficial. These settings allow AppDynamics agents to reuse node names for newly created instances, facilitating consistent monitoring and tracking across dynamic environments. This approach helps maintain clarity in application topology and ensures that performance data remains coherent even as the underlying infrastructure changes.
References:
AppDynamics documentation on Agent Configuration: Discusses advanced agent configuration options, including node name reuse, to accommodate dynamic environments such as those with frequently changing virtual machines.
AppDynamics documentation on Infrastructure Monitoring: Offers insights into best practices for monitoring in dynamic and virtualized environments.
NEW QUESTION # 103
Which permission allows snapshot archiving?
Answer: D
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 # 104
When a team of developers refactored their code, resulting in class-name changes, Business iQ users reported that metrics had disappeared. Where should a Performance Analyst look to troubleshoot this problem?
Answer: B
Explanation:
The Performance Analyst should review Configuration > Instrumentation > Data Collectors. Business iQ commonly depends on transaction data collected from application code, including values obtained through method invocation data collectors. These collectors can be configured against specific class names, method names, method arguments, return values, object properties, or getter chains.
When developers refactor code and rename or relocate classes, an existing data collector may no longer match the instrumented method. As a result, the expected business data is not captured, and the related Business iQ fields, measures, or metrics can disappear from analytics views even though the application continues processing transactions.
The analyst should verify the configured class and method signatures, confirm that the new classes are instrumented, update any affected getter chains, and validate collection through new transaction snapshots or Analytics data.
The Errors page focuses on application exceptions, while Slow Transaction Thresholds controls performance classifications. Database collectors configure Database Visibility connections and are unrelated to application- code refactoring.
Relevant CAAPA Study Guide topics include Business iQ, Analytics Data Collection, Method Invocation Data Collectors, Class and Method Matching, Getter Chains, Instrumentation Configuration, and Transaction Snapshot Validation.
NEW QUESTION # 105 
Refer to the exhibit. When looking at the Transaction Score for a specific transaction, how are errors in the transaction identified?
Answer: B
Explanation:
Errors in a transaction are identified by examining the snapshots that capture the problematic transactions. By setting the appropriate time range, a Performance Analyst can drill down into the snapshots within the Error tab to identify and analyze errors. These snapshots provide detailed diagnostic information, such as stack traces, slow SQL queries, and error logs, which are vital for pinpointing the root cause of transaction errors.
References:
AppDynamics documentation on Transaction Snapshots:
NEW QUESTION # 106
Which data type can be collected as custom data by an Information Point?
Answer: A
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 # 107
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