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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Flow Maps and Application Architecture | 20% | - Component dependency visualization - Environment and topology overview - Interpreting flow maps |
| Topic 2: Health Rules, Alerts, and Dashboards | 20% | - Alert configuration and actions - Custom dashboards and reporting - Creating and managing health rules |
| Topic 3: Business Transactions | 25% | - Transaction detection and configuration - Slow, error, and stalled transaction identification - Metrics analysis and baselining |
| Topic 4: Information Points, Collectors, and Service Endpoints | 20% | - Database and custom collectors - Service endpoint monitoring - Configuring information points |
| 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 # 79
What is the Node limit of the maximum Service Endpoints per node?
Answer: A
Explanation:
AppDynamics imposes a limit on the number of Service Endpoints that can be registered per node to ensure manageable performance and overhead. The limit per node is set to 100 Service Endpoints, which is a balance between providing detailed monitoring and maintaining application performance.
References:
AppDynamics documentation on Service Endpoints:
https://docs.appdynamics.com/latest/en/application-monitoring/monitor-service-endpoints
NEW QUESTION # 80
An AppDynamics deployment has Business Transaction Lock Down turned on. The company has just added an important service to its application and wants to track this service as a unique Business Transaction. What action is needed to achieve this?
Answer: B
Explanation:
When Business Transaction Lock Down is enabled in AppDynamics, no new business transactions will be automatically discovered to avoid uncontrolled growth in the number of business transactions. To track a new service as a unique Business Transaction, one needs to create a Custom Match Rule that specifies the criteria for identifying the business transaction. In this case, the Custom Match Rule should be based on the Web Service Name and Operation Name which are the distinguishing characteristics of the new service. This allows for the precise identification and monitoring of the service within the AppDynamics platform.References:AppDynamics documentation on Business Transaction configuration and Custom Match Rules.
NEW QUESTION # 81
When should URI Segments be used in Transaction Detection rules?
Answer: B
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 URIthat 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 # 82
Which view presents a calculated percentage of the slow, very slow, and stalled Business Transactions?
Answer: C
Explanation:
The Transaction Score view presents the calculated percentage of Business Transaction executions classified by performance category, including normal, slow, very slow, stalled, and error transactions. AppDynamics determines these classifications by comparing each transaction's response time with the configured slow and very slow thresholds, which may be based on dynamic baselines or static threshold values.
The resulting Transaction Score provides a concise, application-level indication of user-impacting performance. A rising percentage of slow, very slow, or stalled transactions quickly shows that a greater portion of the workload is experiencing degradation, even when overall average response time appears acceptable.
The Slow Responses troubleshooting view is used to investigate individual slow transaction instances and snapshots rather than calculate the overall percentage distribution. The Business Transactions view lists transaction-level metrics and trends but does not provide the same summarized scoring visualization. The Metric Browser displays raw and aggregated metrics but requires manual selection and interpretation.
Relevant CAAPA Study Guide topics include Transaction Score, Business Transaction Performance Classification, Slow and Very Slow Thresholds, Stalled Transactions, Dynamic Baselines, Transaction Snapshots, and Application Health Analysis.
NEW QUESTION # 83
Under the Troubleshooting menu, which option allows viewing of transaction snapshots?
Answer: A
Explanation:
The Slow Response Times option under the Troubleshooting menu provides access to transaction snapshots associated with application performance degradation. From this view, a Performance Analyst can examine individual transaction executions classified as slow, very slow, stalled, or otherwise relevant to response-time analysis.
Transaction snapshots provide detailed diagnostic information such as the Business Transaction name, participating tiers and nodes, execution timeline, call graph, method timings, database calls, remote service calls, errors, and data-collector values. This allows the analyst to determine whether latency originates in application code, a database query, an external service, thread contention, or another downstream dependency.
Health Rule Violations displays warning and critical events generated by health rules, but it is not the primary transaction-snapshot browsing view. War Rooms provide a collaborative troubleshooting workspace for incidents. "Slow and Error Transactions" describes transaction classifications or filtering concepts, but the applicable option under the Troubleshooting menu is Slow Response Times.
Relevant CAAPA Study Guide topics include Troubleshooting Slow Response Times, Transaction Snapshots, User Experience Classification, Call Graph Analysis, Database and Remote Service Calls, and Root-Cause Analysis.
NEW QUESTION # 84
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