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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Health Rules, Alerts, and Dashboards | 20% | - Custom dashboards and reporting - Alert configuration and actions - Creating and managing health rules |
| Topic 2: Business Transactions | 25% | - Slow, error, and stalled transaction identification - Transaction detection and configuration - Metrics analysis and baselining |
| Topic 3: Troubleshooting and Performance Analysis | 15% | - Remediation and optimization steps - Identifying bottlenecks and root causes - Analyzing call graphs and snapshots |
| Topic 4: Flow Maps and Application Architecture | 20% | - Component dependency visualization - Interpreting flow maps - Environment and topology overview |
| Topic 5: Information Points, Collectors, and Service Endpoints | 20% | - Service endpoint monitoring - Configuring information points - Database and custom collectors |
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NEW QUESTION # 19
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: D
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 # 20
Business users of an e-commerce site want to see the running aggregate checkout value stored in the Java class Checkout. How would a Performance Analyst capture this data?
Answer: C
Explanation:
A method invocation data collector is used because the required business value exists inside the Java application's Checkout class rather than in the HTTP request.
The Performance Analyst configures the collector against the appropriate class and method, then identifies the value through a method argument, return value, object field, or getter chain. AppDynamics captures that checkout value when the configured method executes and associates it with the corresponding Business Transaction data. The collected value can subsequently be used for business analysis and aggregation, allowing stakeholders to report total or running checkout value over a selected time period.
A dashboard widget can visualize or aggregate data that AppDynamics already collects, but it cannot independently extract a value from Java code. An HTTP data collector is appropriate only when the required value is contained in request parameters, headers, cookies, session attributes, or other HTTP data. A REST export retrieves existing Controller data and therefore does not solve the initial instrumentation requirement.
Relevant CAAPA Study Guide topics include Method Invocation Data Collectors, Java Class and Method Instrumentation, Getter Chains, Business Data Collection, Transaction Analytics, and Custom Dashboard Visualization.
NEW QUESTION # 21
When a manual diagnostic session is triggered, what snapshots are captured?
Answer: A
Explanation:
A manual diagnostic session causes AppDynamics to collect detailed transaction snapshots for the selected Business Transaction during the active diagnostic period. When an instance of that Business Transaction crosses multiple instrumented tiers or nodes, the snapshot collection context is propagated with the transaction. Consequently, AppDynamics captures the participating transaction segments from all nodes through which the Business Transaction passes, producing an end-to-end distributed snapshot.
The capture is not restricted to transactions classified as slow, very slow, or errors. Those classifications are commonly used by automatic diagnostic-session and snapshot-triggering mechanisms, whereas a manual session is deliberately initiated to gather deeper diagnostic evidence, including transactions that might otherwise be considered normal.
Option D is incomplete because the triggering node initiates snapshot collection, but the resulting distributed snapshot can include downstream nodes that participate in the transaction. Options A and C incorrectly limit collection to performance-policy violations and error conditions.
Relevant CAAPA Study Guide topics include Transaction Snapshots, Manual Diagnostic Sessions, Distributed Transaction Correlation, Call Graph Collection, Business Transaction Health, and Cross-Tier Transaction Tracing.
NEW QUESTION # 22
Which three data points are visible when drilled into a call graph? (Choose three.)
Answer: A,B,D
Explanation:
When a Performance Analyst drills into a call graph, AppDynamics exposes method-level execution details that identify where transaction processing time was consumed. The method name identifies the specific application method invoked within the transaction execution path. Method time in milliseconds shows how much time was attributed to that method, enabling the analyst to isolate expensive code paths, compare parent and child execution time, and determine whether latency originates in application code or a downstream dependency.
The call graph can also display Service Endpoints encountered during transaction processing. Service Endpoints represent independently monitored application services or methods and help the analyst understand how internal service execution contributes to the overall Business Transaction response time.
The Business Transaction name and user-experience classification-such as normal, slow, very slow, stalled, or error-are transaction-snapshot context rather than method-level call-graph drill-down data. They describe the transaction as a whole, while the call graph focuses on the execution sequence and timing of instrumented methods and service interactions.
Relevant CAAPA Study Guide topics include Transaction Snapshots, Call Graph Analysis, Method Execution Time, Service Endpoints, Code-Level Diagnostics, and Business Transaction Troubleshooting.
NEW QUESTION # 23
What AppDynamics Alert Action does a Performance Analyst need to select to post an AppDynamics event to a third-party collaboration tool?
Answer: A
Explanation:
To post an AppDynamics event to a third-party collaboration tool, the Performance Analyst needs to select the
"Make an HTTP Request" alert action. This action allows AppDynamics to send an HTTP request to a specified URL, which can be the endpoint provided by the third-party tool's API. This integration capability enables the automatic posting of events, alerts, and notifications from AppDynamics to collaboration tools, enhancing communication and response times to performance issues.
References:
AppDynamics documentation on Alert and Respond: Details the various alert actions available within AppDynamics, including the ability to make HTTP requests to integrate with external systems.
NEW QUESTION # 24
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