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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Troubleshooting and Performance Analysis | 15% | - Identifying bottlenecks and root causes - Analyzing call graphs and snapshots - Remediation and optimization steps |
| Topic 2: Business Transactions | 25% | - Transaction detection and configuration - Slow, error, and stalled transaction identification - Metrics analysis and baselining |
| Topic 3: Health Rules, Alerts, and Dashboards | 20% | - Creating and managing health rules - Custom dashboards and reporting - Alert configuration and actions |
| Topic 4: Flow Maps and Application Architecture | 20% | - Component dependency visualization - Environment and topology overview - Interpreting flow maps |
| Topic 5: Information Points, Collectors, and Service Endpoints | 20% | - Configuring information points - Service endpoint monitoring - Database and custom collectors |
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NEW QUESTION # 50
Which two functions does the Business Transaction Discovery Feature allow a user to perform? (Choose two.)
Answer: A,D
Explanation:
The Business Transaction Discovery feature in AppDynamics allows users to identify new and potential business transactions directly within the Business Transaction Dashboard. This feature aids in the continuous monitoring and adaptation of the application's transaction tracking to changing business needs, ensuring comprehensive visibility. Users can also preview these identified transactions, assessing their relevance and impact on the application's performance before deciding to monitor them as official business transactions.
References:
AppDynamics documentation on Business Transaction Monitoring: Discusses how to manage and monitor business transactions, including the discovery and preview of new or potential transactions.
AppDynamics documentation on Business Transaction Dashboard: Explains the functionalities and features of the Business Transaction Dashboard, including transaction discovery.
NEW QUESTION # 51
When should URI Segments be used in Transaction Detection rules?
Answer: A
Explanation:
URI Segments should be used in Transaction Detection rules when the application is web-oriented. Web- oriented applications often have meaningful information in the URI that can identify different business transactions. URI Segments can help in defining patterns that match specific parts of the URI to distinguish different transactions.
References:
AppDynamics documentation on Transaction Detection: https://docs.appdynamics.com/latest/en/application- monitoring/business-transactions
NEW QUESTION # 52
Which three reports can be scheduled for periodic generation and delivery to email recipients? (Choose three.)
Answer: B,D,E
Explanation:
AppDynamics supports scheduled delivery of Application Health, Controller Audit, and Custom Dashboard reports.
An Application Health report summarizes the operational condition of monitored applications over a selected reporting period. It can include health-rule violations, Business Transaction performance, errors, response- time behavior, and application availability, making it suitable for recurring operational reviews.
A Controller Audit report provides a record of administrative and configuration activity performed in the Controller. It is useful for governance, security review, compliance verification, and tracking changes made by users or administrators.
A Custom Dashboard report captures the widgets and visualizations configured on a selected custom dashboard. It can be generated periodically and emailed to stakeholders who need recurring application, infrastructure, or business-performance summaries without manually opening the Controller.
Ad Hoc Data describes manually selected or temporary analysis rather than a standard schedulable report type. Error Trends may appear as a dashboard visualization or metric analysis, but it is not a distinct scheduled-report category. Tier List is an application inventory view rather than a report designed for periodic email delivery.
Relevant CAAPA Study Guide topics include Reports, Report Scheduling, Email Distribution, Application Health Reports, Controller Audit Reports, Custom Dashboards, and Role-Based Reporting.
NEW QUESTION # 53
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 # 54
A Performance Analyst is evaluating the performance of a shopping application from a customer perspective.
Which three Key Performance Indicators (KPIs) are quantifiable measurements used to determine user experience? (Choose three.)
Answer: A,B,F
Explanation:
The three KPIs that most directly quantify customer experience are Business Transactions 94th Percentile Response Time, End User Response Time, and Business Transactions Errors per Minute.
The 94th percentile response time indicates how long the majority of Business Transaction executions take while reducing the masking effect of averages. It reveals whether a meaningful portion of customers is experiencing slow checkout, search, cart, or order-processing operations.
End User Response Time measures the customer-observed time required for a browser or mobile interaction to complete. It includes client-side processing, network latency, content loading, and server response, making it the most direct representation of perceived application performance.
Business Transactions Errors per Minute quantifies failed application operations. A rising error rate can represent unsuccessful logins, payment failures, rejected orders, or other outcomes that directly impair the customer journey.
Network incoming errors, Machine Agent availability, and CPU utilization are valuable infrastructure indicators, but they measure supporting-system health rather than customer experience itself.
Relevant CAAPA Study Guide topics include End User Monitoring, Business Transaction Performance, Percentile Response Time, Error Monitoring, Customer Experience KPIs, and Application Performance Correlation.
NEW QUESTION # 55
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