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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Business Transactions | 25% | - Transaction detection and configuration - Slow, error, and stalled transaction identification - Metrics analysis and baselining |
| Topic 2: Troubleshooting and Performance Analysis | 15% | - Analyzing call graphs and snapshots - Remediation and optimization steps - Identifying bottlenecks and root causes |
| Topic 3: Health Rules, Alerts, and Dashboards | 20% | - Alert configuration and actions - Creating and managing health rules - Custom dashboards and reporting |
| Topic 4: Flow Maps and Application Architecture | 20% | - Environment and topology overview - Component dependency visualization - Interpreting flow maps |
| Topic 5: Information Points, Collectors, and Service Endpoints | 20% | - Database and custom collectors - Configuring information points - Service endpoint monitoring |
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NEW QUESTION # 71
A Performance Analyst has enabled Development Level Monitoring for an application. For a default configuration, in which scenario will Development Level Monitoring get automatically disabled?
Answer: C
Explanation:
Development Level Monitoring in AppDynamics is designed for use in a lower volume, non-production environment. For a default configuration, Development Level Monitoring will get automatically disabled if the monitored environment exceeds a threshold, typically a maximum of 1000 calls per minute, and the Maximum heap utilization percentage goes above 95%. These thresholds are in place to prevent excessive overhead in a production environment where such detailed monitoring could impact performance.
References:
AppDynamics documentation on Agent Configuration: Provides information on configuration settings for monitoring levels, including when Development Level Monitoring is automatically disabled due to exceeding thresholds.
NEW QUESTION # 72
Which data type can be collected as custom data by an Information Point?
Answer: D
Explanation:
An AppDynamics Information Point can collect String values as custom data. Information Points instrument selected application methods so that analysts can monitor method-level performance and capture business context without defining the method as a complete Business Transaction.
Custom data is typically extracted from a method argument, return value, object field, or getter chain. The resulting String value can provide contextual information such as an order category, customer type, transaction status, product identifier, or processing state. This data is associated with the monitored method execution and can support detailed troubleshooting and business-level analysis.
Numeric values such as integers or floating-point numbers are generally treated as candidates for custom metrics, where AppDynamics can aggregate and report values over time. Boolean values are not the designated custom-data type for this Information Point configuration. The distinction is therefore between textual custom data, represented as a String, and numerical measurements intended for metric aggregation.
Relevant CAAPA Study Guide topics include Information Points, Method-Level Monitoring, Getter Chains, Custom Data Collection, Custom Metrics, Method Arguments, Return Values, and Business Context Capture.
NEW QUESTION # 73
Which two match conditions can be added when you configure an Information Point? (Choose two.)
Answer: A,B
Explanation:
When configuring an Information Point in AppDynamics, you can add match conditions to refine what gets measured. Match conditions based on a regex applied to the method allow you to specify which methods to include based on a regular expression pattern. Matching based on the invoked object allows you to specify which objects' methods are included, filtering the data according to the object type or instance. These conditions help in pinpointing specific methods or objects for which you want to collect runtime information.References:AppDynamics documentation on Information Points and Match Conditions.
NEW QUESTION # 74
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 # 75
A development team responsible for the front-end shopping application has asked to receive an email every time the Java container thread count exceeds 25. Which alert and response capabilities settings will provide the email?
Answer: B
Explanation:
In AppDynamics, you can create health rules to monitor various metrics and set up actions based on the thresholds defined for these metrics. For monitoring Java container thread counts, you can set a health rule based on Node Health - specifically on thread pools - to trigger when the thread count exceeds a specific value. The Notification Action can then be configured to send an email to the development team whenever this threshold is breached.
References:
AppDynamics documentation on Health Rules:
https://docs.appdynamics.com/21.6/en/infrastructure-visibility/health-rules
NEW QUESTION # 76
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