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| Section | Weight | Objectives |
|---|---|---|
| Business Transactions | 20% | - Manage discovery and analyze transaction metrics - Create and configure business transaction settings - Determine transaction scope and rule assignment |
| Collectors, Information Points, and Service Endpoints | 25% | - Configure information points and service endpoints - Define and configure data collectors - Analyze service endpoint metrics |
| Agents and Application Performance | 20% | - Configure alerts and identify system performance metrics - Determine application performance impact and scheduled reports - Monitor performance trends - Verify agent functionality, performance, and connectivity - Troubleshoot performance problems |
| Troubleshooting | 15% | - Identify slow performance and errors from backend systems - Capture snapshots and troubleshoot health rule violations - Utilize dashboards to identify performance issues |
| Health Rules, Dashboards, and Snapshots | 20% | - Create and interpret dashboards - Create and configure health rules - Locate and analyze snapshots |
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NEW QUESTION # 110
Which AppDynamics option will allow a Performance Analyst to compare and filter related servers using custom metadata within your environment?
Answer: A
Explanation:
Server Tagging in AppDynamics allows a Performance Analyst to compare and filter related servers by using custom metadata. This feature enables users to group and organize their servers based on criteria that make sense for their environment, such as role, location, environment type, or any other custom metadata.
References:
AppDynamics documentation on Server Tagging:
https://docs.appdynamics.com/latest/en/infrastructure-visibility/infrastructure-visibility-settings/server-tags
NEW QUESTION # 111
On a snapshot flow map, which three metrics indicate why the snapshot might have been taken? (Choose three.)
Answer: A,C,D
Explanation:
A snapshot flow map presents execution-specific timing information that helps explain why AppDynamics captured that particular transaction instance. The relevant metrics are Thread Blocking Time, Execution Time, and Asynchronous Activity Processing Time.
Execution Time shows the elapsed processing time for the transaction segment and helps determine whether the request exceeded slow or very slow transaction thresholds. Thread Blocking Time identifies time during which the executing thread was blocked or waiting, potentially because of lock contention, synchronization, resource availability, or another thread-related delay. A substantial blocking value can explain why an otherwise ordinary code path produced a slow snapshot.
Asynchronous Activity Processing Time represents time consumed by asynchronous work associated with the transaction, such as executor tasks, callbacks, or background processing correlated with the originating request. Excessive asynchronous processing can materially increase end-to-end completion time and trigger snapshot collection.
Tier Response Time and Node Response Time are aggregated performance metrics across multiple transactions. They provide useful operational context but do not directly describe the timing characteristics of one captured transaction execution.
Relevant CAAPA Study Guide topics include Transaction Snapshots, Snapshot Flow Maps, Execution Time, Thread Blocking, Asynchronous Transaction Tracking, and Slow Transaction Diagnostics.
NEW QUESTION # 112
What are two examples of backend calls? (Choose two.)
Answer: A,C
Explanation:
Backend calls in AppDynamics are the interactions that an application component has with external components or services. These can include calls to databases, remote service calls, and interactions between different tiers of an application.
A tier-to-tier request refers to any internal call that happens between different tiers (or nodes) within the same application. For example, a web tier calling an API service tier within the same application ecosystem.
A remote services call is an external call from an application to a service that resides outside of the application's environment, like a call to an external web service, REST API, or a third-party service provider.
References:
AppDynamics documentation on Backend Detection:
https://docs.appdynamics.com/21.6/en/application-monitoring/identify-backends
NEW QUESTION # 113
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 # 114
Business Transaction Discovery Sessions work with which two code languages? (Choose two.)
Answer: A,B
Explanation:
Business Transaction Discovery Sessions are supported for Java and .NET applications. These sessions help a Performance Analyst identify candidate transaction entry points when automatic discovery does not detect a proprietary framework, background process, scheduled task, or other nonstandard execution path.
During a discovery session, the Application Agent observes executed application code and allows the analyst to browse relevant classes and methods. The selected method can then be used to create or refine a Custom Match Rule, establishing a new Business Transaction entry point with appropriate naming and scope.
Java and .NET agents provide the runtime instrumentation and class-method visibility required for this workflow. C++, PHP, and Node.js applications have their own supported monitoring and transaction- detection capabilities, but they do not use the Business Transaction Discovery Session feature referenced in this question.
Discovery sessions should be run for a controlled period while representative application traffic exercises the target code path. The resulting class and method information can then be reviewed before creating a permanent transaction detection rule.
Relevant CAAPA Study Guide topics include Business Transaction Discovery Sessions, Java Agent, .NET Agent, Class and Method Browsing, Custom Match Rules, Entry-Point Detection, and Transaction Naming.
NEW QUESTION # 115
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