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| Section | Weight | Objectives |
|---|---|---|
| Agents and Application Performance | 20% | - Determine application performance impact and scheduled reports - Configure alerts and identify system performance metrics - Verify agent functionality, performance, and connectivity - Troubleshoot performance problems - Monitor performance trends |
| Collectors, Information Points, and Service Endpoints | 25% | - Analyze service endpoint metrics - Configure information points and service endpoints - Define and configure data collectors |
| Health Rules, Dashboards, and Snapshots | 20% | - Create and interpret dashboards - Create and configure health rules - Locate and analyze snapshots |
| Business Transactions | 20% | - Determine transaction scope and rule assignment - Create and configure business transaction settings - Manage discovery and analyze transaction metrics |
| Troubleshooting | 15% | - Identify slow performance and errors from backend systems - Utilize dashboards to identify performance issues - Capture snapshots and troubleshoot health rule violations |
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NEW QUESTION # 103
On a snapshot flow map, which three metrics indicate why the snapshot might have been taken? (Choose three.)
Answer: A,D,E
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 # 104
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 # 105 
Refer to the exhibit. The transaction score in the graphic displays an interesting performance pattern outside of business hours on 6/16/18. Which additional performance anomaly should be of most interest to a Performance Analyst?
Answer: B
Explanation:
The performance pattern outside of business hours on 6/16/18 that would be of most interest to a Performance Analyst is the elevated response time, as indicated on 6/19/18. This is because it shows a significant spike in response time, which could indicate a performance issue that needs to be addressed. Anomalies in response time can often be more indicative of underlying problems than changes in call volume, especially when they occur outside of expected peak periods.
References:
AppDynamics documentation on Transaction Score: https://docs.appdynamics.com/latest/en/application- monitoring/application-dashboard/transaction-score
NEW QUESTION # 106
Which statement about Service End Points and Business Transactions is true?
Answer: C
Explanation:
Both Service Endpoints and Business Transactions in AppDynamics have the capability to configure data collectors. Data collectors are used to gather detailed information about transactions or endpoints, such as method parameters, return values, and SQL statements.
References:
AppDynamics documentation on Data Collectors: https://docs.appdynamics.com/latest/en/application- monitoring/configure-data-collection
NEW QUESTION # 107
Developers and operations personnel complain the Controller tracks many irrelevant Java classes and methods.
How does a Performance Analyst exclude this unhelpful information?
Answer: D
Explanation:
To streamline the monitoring process and enhance the relevance of collected data, AppDynamics allows Performance Analysts to exclude certain Java classes and methods from instrumentation. This is done through the "Configuration > Instrumentation > Call Graph Settings" menu, where irrelevant packages and classes can be specified for exclusion. This approach prevents the AppDynamics agent from tracking unnecessary or irrelevant methods, thus reducing overhead and focusing on the most critical aspects of application performance.
References:
AppDynamics documentation on Call Graph Settings: This section details how to configure call graph settings, including the exclusion of specific classes and methods from instrumentation, to optimize performance monitoring.
NEW QUESTION # 108
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