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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Flow Maps and Application Architecture | 20% | - Component dependency visualization - Interpreting flow maps - Environment and topology overview |
| Topic 2: Information Points, Collectors, and Service Endpoints | 20% | - Service endpoint monitoring - Database and custom collectors - Configuring information points |
| Topic 3: Business Transactions | 25% | - Transaction detection and configuration - Slow, error, and stalled transaction identification - Metrics analysis and baselining |
| Topic 4: Health Rules, Alerts, and Dashboards | 20% | - Alert configuration and actions - Custom dashboards and reporting - Creating and managing health rules |
| Topic 5: Troubleshooting and Performance Analysis | 15% | - Identifying bottlenecks and root causes - Analyzing call graphs and snapshots - Remediation and optimization steps |
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NEW QUESTION # 38
Under the Troubleshooting menu, which option allows viewing of transaction snapshots?
Answer: B
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 # 39
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 # 40
Refer to the exhibit.
The application flow map shows several downstream applications in yellow, while the flow lines are blue and activity within the current application appears normal. Because the tier depends on these downstream applications, how could a Performance Analyst quickly evaluate the map against previous performance?
Answer: B
Explanation:
The Performance Analyst should use Compare Against Baseline. This flow-map function provides an immediate comparison between current application behavior and the established historical baseline for the selected time range. It helps identify whether response time, load, call volume, or dependency behavior has deviated from what AppDynamics considers normal.
In the exhibit, the yellow downstream applications indicate a warning state, even though the blue flow lines suggest that the current calls themselves are not showing an obvious critical condition. Comparing the current flow map against baseline allows the analyst to determine whether those downstream dependencies are performing worse than their customary levels and whether the tier's dependency pattern has changed.
Correlation Analysis is intended to identify statistical relationships among metrics rather than provide a direct historical flow-map comparison. Health Rule Violations show triggered conditions but do not provide the fastest visual comparison with prior performance. Metric Browser Baselines can expose baseline values for individual metrics, but require more manual investigation.
Relevant CAAPA topics include Application Flow Maps, Dynamic Baselines, Compare Against Baseline, Dependency Analysis, and Health-State Interpretation.
NEW QUESTION # 41
Which type of Data Collector will capture code data such as method arguments, variables, and return values?
Answer: C
Explanation:
The " Method Invocation Data Collector " is specifically designed to capture code-level data such as method arguments, variables, and return values. This type of data collector enables deep visibility into the execution of methods within transactions, providing valuable insights into the application ' s behavior and performance.
This detailed level of monitoring is essential for diagnosing complex issues and understanding the inner workings of business transactions.
References:
AppDynamics documentation on Data Collectors: Details the types of data collectors available, including Method Invocation Data Collectors, and how they can be used to capture detailed code-level data.
NEW QUESTION # 42
A Performance Analyst has an urgent need to gather more data for an ongoing issue. What should the Performance Analyst do?
Answer: A
Explanation:
If a Performance Analyst has an urgent need to gather more data for an ongoing issue, they should enable Development Level Monitoring. This monitoring level increases the amount of detailed diagnostic data collected by the agent, such as snapshots and transaction traces, which can provide deeper insights into the issue at hand.
References:
AppDynamics documentation on Monitoring Levels: Describes the different levels of monitoring available, including Development Level Monitoring and the types of data each level collects.
NEW QUESTION # 43
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