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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Business Transactions | 20% | - Manage discovery and analyze transaction metrics - Create and configure business transaction settings - Determine transaction scope and rule assignment |
| Topic 2: Health Rules, Dashboards, and Snapshots | 20% | - Create and configure health rules - Create and interpret dashboards - Locate and analyze snapshots |
| Topic 3: Troubleshooting | 15% | - Identify slow performance and errors from backend systems - Utilize dashboards to identify performance issues - Capture snapshots and troubleshoot health rule violations |
| Topic 4: Collectors, Information Points, and Service Endpoints | 25% | - Define and configure data collectors - Analyze service endpoint metrics - Configure information points and service endpoints |
| Topic 5: Agents and Application Performance | 20% | - Verify agent functionality, performance, and connectivity - Determine application performance impact and scheduled reports - Troubleshoot performance problems - Monitor performance trends - Configure alerts and identify system performance metrics |
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NEW QUESTION # 121
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 # 122
A Performance Analyst notices an increase in Business Transaction error rate that is much higher than normal alerts. The Performance Analyst can see these are related to the Health Rules defined for the Shopping Service that is monitored with AppDynamics Browser RUM. While troubleshooting the Performance Analyst wants details on which Browsers and Devices are affected. Which section of the Browser App Dashboard will provide this detail for a given time period?
Answer: B
Explanation:
In the Browser Real User Monitoring (RUM) Dashboard, the Usage Stats section provides insights into user demographics, including the types of browsers and devices they are using. This section would help the Performance Analyst understand which browsers and devices are affected during a specific time period when there has been an increase in the Business Transaction error rate.
References:
AppDynamics documentation on Browser RUM: https://docs.appdynamics.com/21.6/en/end-user-monitoring
/browser-monitoring/browser-real-user-monitoring
NEW QUESTION # 123 
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 # 124 
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 # 125
When instrumenting and configuring Transaction Detection Rules, when should Scope be used?
Answer: D
Explanation:
A Scope is used to apply Transaction Detection Rules selectively to one or more tiers that perform the same or a related application function. Scoping allows a Performance Analyst to avoid applying a custom match rule or exclude rule across the entire application when the relevant entry point, framework, class, method, or request pattern exists only within particular tiers.
For example, several web-service tiers may use the same transaction naming convention or custom entry- point logic. The analyst can group those tiers within a scope and associate the transaction detection rule with that scope. This provides consistent detection behavior while preventing the rule from affecting unrelated application tiers.
Scopes are not primarily defined for individual nodes because nodes inherit transaction detection behavior from their tier-level configuration. They are also not used for backends, which are identified through exit- point and backend detection configuration. Transaction Detection Rule scopes remain within the context of a single monitored application and are not used to distribute one rule across multiple applications.
Relevant CAAPA Study Guide topics include Transaction Detection, Rule Scopes, Tier-Level Instrumentation, Custom Match Rules, Exclude Rules, Entry-Point Detection, and Application Agent Configuration.
NEW QUESTION # 126
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