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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Business Transactions | 25% | - Transaction detection and configuration - Metrics analysis and baselining - Slow, error, and stalled transaction identification |
| Topic 2: Health Rules, Alerts, and Dashboards | 20% | - Alert configuration and actions - Custom dashboards and reporting - Creating and managing health rules |
| Topic 3: Troubleshooting and Performance Analysis | 15% | - Analyzing call graphs and snapshots - Identifying bottlenecks and root causes - Remediation and optimization steps |
| Topic 4: Flow Maps and Application Architecture | 20% | - Interpreting flow maps - Environment and topology overview - Component dependency visualization |
| Topic 5: Information Points, Collectors, and Service Endpoints | 20% | - Database and custom collectors - Service endpoint monitoring - Configuring information points |
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NEW QUESTION # 65
How does a Performance Analyst identify if automatic remediation has been taken for a health rule violation?
Answer: C
Explanation:
To identify if automatic remediation actions have been taken for a health rule violation in AppDynamics, a Performance Analyst should expand the " Description " field of the health rule violation event. This section will provide details on the actions executed as part of the automatic remediation process. These details help analysts understand the steps taken by the system to mitigate the issue without manual intervention.
References: AppDynamics documentation on Health Rule Violations and Automated Actions.
NEW QUESTION # 66
How does a Performance Analyst identify if automatic remediation has been taken for a health rule violation?
Answer: D
Explanation:
To identify if automatic remediation actions have been taken for a health rule violation in AppDynamics, a Performance Analyst should expand the "Description" field of the health rule violation event. This section will provide details on the actions executed as part of the automatic remediation process. These details help analysts understand the steps taken by the system to mitigate the issue without manual intervention.References:AppDynamics documentation on Health Rule Violations and Automated Actions.
NEW QUESTION # 67
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: A
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 # 68
Refer to the exhibit.
Using this heap-utilization graph, which method is used to confirm whether a memory leak is occurring during a specific timeframe?
Answer: B
Explanation:
The Tiers and Nodes > Memory tab provides the appropriate JVM-level view for confirming suspected heap growth over a selected timeframe. The analyst should compare Heap Utilization (%) with Heap Current Usage (MB) versus Max (MB) and observe the effect of major garbage-collection events.
A potential memory leak is indicated when heap usage rises progressively and fails to return to a stable lower level after garbage collection. The important pattern is not simply high memory utilization, but an increasing post-garbage-collection baseline over time. The exhibit shows current heap usage gradually increasing relative to the maximum heap allocation, which warrants further memory diagnostics.
Hardware-resource memory metrics represent operating-system memory and do not isolate JVM heap behavior. Swap usage can indicate host memory pressure but cannot confirm an application heap leak. JMX metrics may expose heap values, but the dedicated Memory tab provides the quickest correlated visualization for heap utilization, maximum heap, current usage, and garbage collection.
Relevant CAAPA topics include JVM Memory Monitoring, Heap Utilization, Garbage Collection, Tiers and Nodes Memory View, Memory Leak Detection, and Object Instance Tracking.
NEW QUESTION # 69 
Refer to the exhibit. When looking at the Transaction Score for a specific transaction, how are errors in the transaction identified?
Answer: A
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 # 70
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