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| Section | Objectives |
|---|---|
| Topic 1: AppDynamics Fundamentals | - APM concepts and terminology
|
| Topic 2: AppDynamics Architecture | - Controller and agents
|
| Topic 3: Dashboards and Reporting | - Performance dashboards
|
| Topic 4: Diagnostics and Troubleshooting | - Root cause analysis
|
| Topic 5: Alerting and Business Performance | - Alert configuration
|
| Topic 6: Monitoring and Instrumentation | - Application instrumentation
|
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NEW QUESTION # 57
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: B,C,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 # 58
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: C
Explanation:
With Business Transaction Lock Down enabled, AppDynamics prevents automatically discovered traffic from registering additional Business Transactions. Newly observed requests that do not match an existing registered transaction are generally aggregated under the tier's All Other Traffic transaction, protecting the Controller from uncontrolled Business Transaction growth.
To monitor the new web service as an explicitly named, unique Business Transaction, the Performance Analyst should create a Custom Transaction Match Rule. The rule can identify the service by its Web Service Name and Operation Name, providing deterministic matching and naming independently of automatic transaction discovery. Custom rules are the appropriate mechanism for intentionally introducing important transactions while maintaining lockdown governance.
Changing the automatic discovery rule does not overcome the purpose of lockdown because new automatically discovered transactions remain restricted. Live Preview assists with validating detection-rule behavior but is not the persistent configuration that defines the transaction. All Other Traffic provides aggregated visibility into unregistered traffic; it does not replace a precise custom detection rule.
Relevant CAAPA Study Guide topics include Business Transaction Lock Down, Custom Match Rules, Web- Service Entry Points, Transaction Naming, Automatic Discovery, and All Other Traffic.
NEW QUESTION # 59
Which two functions does the Business Transaction Discovery Feature allow a user to perform? (Choose two.)
Answer: B,C
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 # 60
In which two features of AppDynamics can Information Points metric data be used? (Choose two.)
Answer: C,D
Explanation:
Information Points in AppDynamics are custom metrics that track specific data within your applications, such as method invocations or the value of method arguments. These metrics can be utilized in various features of AppDynamics, most notably in "Alerting" and "Custom Dashboards." Alerting allows you to set up notifications based on the thresholds set for Information Points, ensuring that teams are promptly informed about significant changes or anomalies. Custom Dashboards enable the visualization of Information Points metrics alongside other key performance indicators, providing a comprehensive view of application health and performance tailored to specific needs.
References:
AppDynamics documentation on Information Points: Explains how to create and use Information Points to monitor specific business-relevant metrics.
AppDynamics documentation on Alerting: Details the process of setting up health rules and alerts based on various metrics, including those from Information Points.
AppDynamics documentation on Custom Dashboards: Guides on how to create dashboards that incorporate a wide range of metrics, including Information Points, for customized monitoring.
NEW QUESTION # 61
Business users of an e-commerce site want to see the running aggregate checkout value stored in the Java class Checkout. How would a Performance Analyst capture this data?
Answer: A
Explanation:
A method invocation data collector is used because the required business value exists inside the Java application's Checkout class rather than in the HTTP request.
The Performance Analyst configures the collector against the appropriate class and method, then identifies the value through a method argument, return value, object field, or getter chain. AppDynamics captures that checkout value when the configured method executes and associates it with the corresponding Business Transaction data. The collected value can subsequently be used for business analysis and aggregation, allowing stakeholders to report total or running checkout value over a selected time period.
A dashboard widget can visualize or aggregate data that AppDynamics already collects, but it cannot independently extract a value from Java code. An HTTP data collector is appropriate only when the required value is contained in request parameters, headers, cookies, session attributes, or other HTTP data. A REST export retrieves existing Controller data and therefore does not solve the initial instrumentation requirement.
Relevant CAAPA Study Guide topics include Method Invocation Data Collectors, Java Class and Method Instrumentation, Getter Chains, Business Data Collection, Transaction Analytics, and Custom Dashboard Visualization.
NEW QUESTION # 62
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