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| Section | Weight | Objectives |
|---|---|---|
| Health Rules, Alerts, and Dashboards | 20% | - Custom dashboards and reporting - Creating and managing health rules - Alert configuration and actions |
| Information Points, Collectors, and Service Endpoints | 20% | - Configuring information points - Database and custom collectors - Service endpoint monitoring |
| Flow Maps and Application Architecture | 20% | - Environment and topology overview - Interpreting flow maps - Component dependency visualization |
| Troubleshooting and Performance Analysis | 15% | - Identifying bottlenecks and root causes - Remediation and optimization steps - Analyzing call graphs and snapshots |
| Business Transactions | 25% | - Transaction detection and configuration - Slow, error, and stalled transaction identification - Metrics analysis and baselining |
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NEW QUESTION # 39
Which two options are forms of data collectors? (Choose two.)
Answer: A,C
Explanation:
AppDynamics supports HTTP data collectors and method invocation data collectors for enriching transaction snapshots with contextual diagnostic information.
An HTTP data collector captures selected request details associated with a Business Transaction, including URL or URI information, query or form parameters, HTTP headers, and cookies. These values help analysts distinguish transaction variants, correlate user input with application behavior, and identify request-specific causes of latency or errors. Sensitive values should be filtered or excluded through data-collection configuration.
A method invocation data collector captures information from instrumented application methods. Depending on configuration and agent support, it can collect method arguments, object properties, local or instance data, and return values. This provides code-level context when examining transaction snapshots and call graphs.
URN, URI, and SNMP are not separate AppDynamics transaction data-collector categories in this context.
URI-related values are handled under HTTP request data collection, while SNMP belongs to network- management protocols rather than Application Agent transaction diagnostics.
Relevant CAAPA topics include Transaction Data Collectors, HTTP Request Data Collection, Method Invocation Data Collection, Transaction Snapshots, Sensitive Data Filtering, and Business Transaction Diagnostics.
NEW QUESTION # 40
A Performance Analyst is creating a custom baseline and attempting to tag it to a widget in a dashboard.
Which statement is true?
Answer: C
Explanation:
AppDynamics supports the creation of custom baselines, allowing a Performance Analyst to define expected metric behavior over a selected historical period and recurring time pattern. Custom baselines are useful when the standard daily, weekly, or trend-based baselines do not accurately represent the application's operating schedule, seasonal demand, or business cycle.
However, a custom baseline cannot be directly tagged or bound to an individual dashboard widget. Dashboard widgets can visualize metrics and, depending on the widget type, may display standard comparison or baseline-related information, but they do not provide a mechanism for associating a specifically named custom baseline with that widget.
Custom baselines are primarily applied in monitoring and evaluation contexts such as health-rule conditions, where current metric values can be compared against expected behavior using defined baseline criteria and standard deviations. Therefore, the baseline itself can be created and used for performance evaluation, but the analyst's attempt to attach it directly to a dashboard widget is unsupported.
Relevant CAAPA Study Guide topics include Dynamic Baselines, Custom Baseline Configuration, Health Rule Conditions, Baseline Evaluation, Metric Visualization, and Custom Dashboard Widget Limitations.
NEW QUESTION # 41
Which three Key Performance Indicators (KPIs) are automatically collected when you create an Information Point without adding custom data? (Choose three.)
Answer: A,E,F
Explanation:
When an Information Point is created in AppDynamics without adding custom data, it automatically collects three key performance indicators (KPIs): Response Time, Errors per Minute, and Calls per Minute. Response Time measures the time taken to complete a transaction or operation, providing insights into application performance. Errors per Minute tracks the number of errors occurring within the scope of the Information Point, helping identify problematic areas. Calls per Minute counts the number of times the specified operation or transaction is invoked, indicating its usage frequency and potential impact on application performance.
References:
AppDynamics documentation on Information Points: Discusses the creation and configuration of Information Points, including the default metrics collected.
NEW QUESTION # 42
Which statement about Service End Points and Business Transactions is true?
Answer: C
Explanation:
Both Service Endpoints and Business Transactions in AppDynamics have the capability to configure data collectors. Data collectors are used to gather detailed information about transactions or endpoints, such as method parameters, return values, and SQL statements.
References:
AppDynamics documentation on Data Collectors:
https://docs.appdynamics.com/latest/en/application-monitoring/configure-data-collection
NEW QUESTION # 43
What does the Live Preview option in a Business Transaction Discovery Session allow a user to do?
Answer: D
Explanation:
The Live Preview option in a Business Transaction Discovery Session in AppDynamics allows a user to verify the effectiveness of newly configured Transaction Discovery Rules. This feature provides real-time feedback on how these rules identify and categorize business transactions, enabling users to adjust and fine-tune the rules to ensure accurate and meaningful transaction monitoring.
References:
AppDynamics documentation on Business Transaction Management: Includes information on Business Transaction Discovery Sessions and the use of Live Preview to validate Transaction Discovery Rules.
NEW QUESTION # 44
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