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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Flow Maps and Application Architecture | 20% | - Interpreting flow maps - Component dependency visualization - Environment and topology overview |
| Topic 2: Business Transactions | 25% | - Metrics analysis and baselining - Slow, error, and stalled transaction identification - Transaction detection and configuration |
| Topic 3: Information Points, Collectors, and Service Endpoints | 20% | - Service endpoint monitoring - Configuring information points - Database and custom collectors |
| Topic 4: Health Rules, Alerts, and Dashboards | 20% | - Creating and managing health rules - Alert configuration and actions - Custom dashboards and reporting |
| Topic 5: Troubleshooting and Performance Analysis | 15% | - Remediation and optimization steps - Analyzing call graphs and snapshots - Identifying bottlenecks and root causes |
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NEW QUESTION # 28
Which two rule types are available when creating new transaction detection rules? (Choose two.)
Answer: A,C
Explanation:
AppDynamics provides two applicable rule types when defining transaction detection behavior: Exclude Rules and Custom Match Rules.
A Custom Match Rule explicitly identifies application requests that should be detected as Business Transactions. The rule can match requests by entry point, class and method, URL, servlet, framework-specific attributes, headers, parameters, or other request data. It can also control transaction naming and splitting, allowing related requests to be grouped or separated according to operational requirements.
An Exclude Rule prevents matching requests from being discovered or registered as Business Transactions.
This is useful for suppressing low-value traffic such as health checks, static-resource requests, polling calls, or framework-generated activity that would otherwise consume Business Transaction limits and add unnecessary metric noise.
An Automatic Discovery Rule is not created as a separate rule type in this context; automatic discovery is the agent's default transaction-identification behavior. A Health Rule evaluates monitored metrics and triggers policy actions, while an Include Rule is not a transaction detection rule category.
Relevant CAAPA topics include Business Transaction Detection, Custom Match Rules, Exclude Rules, Entry- Point Matching, Automatic Discovery, and Business Transaction Registration Limits.
NEW QUESTION # 29
In the Create Scheduled Report form, which built-in scheduled report type provides the transaction scorecard?
Answer: B
Explanation:
The built-in Application Health scheduled report provides the Transaction Scorecard. This report is designed to summarize the operational health of a selected application over the configured reporting period and includes Business Transaction performance classifications.
The Transaction Scorecard shows the distribution of transaction executions across categories such as normal, slow, very slow, stalled, and errors. These classifications are derived from the application's configured transaction thresholds and dynamic baselines. The scorecard therefore gives recipients a concise indication of how much application traffic delivered an acceptable user experience and how much experienced degradation or failure.
The All Application Summary report provides a higher-level overview across applications rather than the detailed transaction scorecard for a specific application. The Home Screen option summarizes Controller- level information and is not the report type used for transaction-performance scoring. User Experience:
Browser Apps focuses on Browser Real User Monitoring measurements, including page-load and end-user response metrics, rather than server-side Business Transaction scoring.
Relevant CAAPA Study Guide topics include Scheduled Reports, Application Health Reports, Transaction Score, Business Transaction Performance Classification, Dynamic Baselines, and Email Report Delivery.
NEW QUESTION # 30
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: D
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 # 31
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: C
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 # 32 
Refer to the exhibit. Using this heap utilization graph, which method is used to confirm if a memory leak is occurring during a certain time frame?
Answer: A
Explanation:
To confirm if a memory leak is occurring, one should refer to the Tiers and Nodes section of the AppDynamics Controller UI, navigate to the Memory tab, and observe the Heap Utilization over time in relation to the Heap ' s Current Usage (MB) versus the Maximum (MB) allocated. Consistent growth in heap utilization or an upward trend that does not decrement even after garbage collection indicates a potential memory leak.
References: AppDynamics documentation on Memory Leak Detection and Heap Analysis.
NEW QUESTION # 33
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