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| Section | Weight | Objectives |
|---|---|---|
| Business Transactions | 20% | - Manage discovery and analyze transaction metrics - Create and configure business transaction settings - Determine transaction scope and rule assignment |
| Troubleshooting | 15% | - Utilize dashboards to identify performance issues - Capture snapshots and troubleshoot health rule violations - Identify slow performance and errors from backend systems |
| Agents and Application Performance | 20% | - Troubleshoot performance problems - Determine application performance impact and scheduled reports - Verify agent functionality, performance, and connectivity - Monitor performance trends - Configure alerts and identify system performance metrics |
| Health Rules, Dashboards, and Snapshots | 20% | - Create and configure health rules - Locate and analyze snapshots - Create and interpret dashboards |
| Collectors, Information Points, and Service Endpoints | 25% | - Analyze service endpoint metrics - Define and configure data collectors - Configure information points and service endpoints |
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NEW QUESTION # 12
A Performance Analyst has a third-party event management system API and wants to use the event management system to send alerts to Level 1.
Which actions are available in the AppDynamics Actions Menu to set this up?
Answer: B
Explanation:
When integrating with a third-party event management system, the Performance Analyst can set up an HTTP Request action within AppDynamics. This allows for the creation of a custom HTTPrequest to the event management system's API, which can be configured to send alerts to Level 1 support or any other designated recipient.
NEW QUESTION # 13
The performance impact on the_______would lead a Performance Analyst to limit the duration and frequency of automatic diagnostic sessions.
Answer: D
Explanation:
The primary concern for a Performance Analyst when considering the impact of automatic diagnostic sessions is the application itself. Intensive diagnostic sessions can be resource-heavy, potentially affecting the application's performance. Therefore, it is often necessary to limit the duration and frequency of these sessions to ensure they do not negatively impact the application's end-user experience.
References:
AppDynamics documentation on Diagnostic Sessions:
https://docs.appdynamics.com/latest/en/troubleshoot/diagnostic-sessions
NEW QUESTION # 14
Which two rule types are available when creating new transaction detection rules? (Choose two.)
Answer: A,E
Explanation:
AppDynamics provides two applicable rule types when defining transaction detection behavior: Exclude Rules and Custom Match Rules.
A Custom Match Rule explicitly identifies application requests that should be detected as Business Transactions. The rule can match requests by entry point, class and method, URL, servlet, framework-specific attributes, headers, parameters, or other request data. It can also control transaction naming and splitting, allowing related requests to be grouped or separated according to operational requirements.
An Exclude Rule prevents matching requests from being discovered or registered as Business Transactions.
This is useful for suppressing low-value traffic such as health checks, static-resource requests, polling calls, or framework-generated activity that would otherwise consume Business Transaction limits and add unnecessary metric noise.
An Automatic Discovery Rule is not created as a separate rule type in this context; automatic discovery is the agent's default transaction-identification behavior. A Health Rule evaluates monitored metrics and triggers policy actions, while an Include Rule is not a transaction detection rule category.
Relevant CAAPA topics include Business Transaction Detection, Custom Match Rules, Exclude Rules, Entry- Point Matching, Automatic Discovery, and Business Transaction Registration Limits.
NEW QUESTION # 15
What is a reason for creating an Information Point?
Answer: B
Explanation:
An Information Point is created to gather application-specific business and performance metrics from a selected class and method. It enables AppDynamics to monitor code that represents a meaningful business activity even when that method is not a Business Transaction entry point. Typical examples include tracking order value, number of items processed, cache access frequency, payment amounts, or invocations of a critical internal service.
Information Points can report measurements such as calls per minute, average response time, errors per minute, and configured custom numeric values. These metrics can then be displayed in the Metric Browser, compared against baselines, incorporated into dashboards, and evaluated by health rules.
Information Points are not limited to a particular Business Transaction, making option B too restrictive.
Collecting fields specifically for Analytics queries is generally handled through transaction analytics and data collectors. Memory-leak troubleshooting instead uses memory diagnostics, object-instance tracking, heap analysis, and leak-detection capabilities.
Relevant CAAPA Study Guide topics include Information Points, Method-Level Monitoring, Business Metrics, Custom Metrics, Metric Roll-Ups, Dynamic Baselines, Health Rules, and Application Instrumentation.
NEW QUESTION # 16 
Refer to the exhibit. On which tab will the configured transaction threshold be found?
Answer: D
Explanation:
In Cisco AppDynamics, the transaction threshold configurations are typically found under the "Overview" tab.
This is where you can view the health rule violations and performance baselines that are associated with transaction snapshots, which can include the configured transaction thresholds. These thresholds set the acceptable performance limits for transactions, and when these limits are exceeded, it may trigger health rule violations that are visible on the Overview tab.
References:
AppDynamics Documentation on Transaction Snapshots
AppDynamics Documentation on Health Rule Violations
NEW QUESTION # 17
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