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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Health Rules, Dashboards, and Snapshots | 20% | - Create and interpret dashboards - Locate and analyze snapshots - Create and configure health rules |
| Topic 2: Agents and Application Performance | 20% | - Configure alerts and identify system performance metrics - Troubleshoot performance problems - Verify agent functionality, performance, and connectivity - Monitor performance trends - Determine application performance impact and scheduled reports |
| Topic 3: Business Transactions | 20% | - Determine transaction scope and rule assignment - Create and configure business transaction settings - Manage discovery and analyze transaction metrics |
| Topic 4: Collectors, Information Points, and Service Endpoints | 25% | - Configure information points and service endpoints - Analyze service endpoint metrics - Define and configure data collectors |
| Topic 5: Troubleshooting | 15% | - Identify slow performance and errors from backend systems - Capture snapshots and troubleshoot health rule violations - Utilize dashboards to identify performance issues |
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NEW QUESTION # 90
An E-commerce application is built using microservices architecture design with several components. In AppDynamics, how should the Transaction Detection rules be grouped logically?
Answer: B
Explanation:
For an e-commerce application built using a microservices architecture, logically grouping Transaction Detection rules can be effectively achieved through "Use Transaction Group." This approach allows for the organization of business transactions into meaningful groups that reflect the application's structure and the interactionsbetween its microservices. By grouping transactions, it becomes easier to monitor, analyze, and troubleshoot the application as a whole and its individual components, enhancing the visibility and management of the application's performance.
References:
AppDynamics documentation on Business Transactions: Provides insights on how to configure and manage business transactions, including grouping and monitoring strategies.
AppDynamics documentation on Microservices Monitoring: Offers guidance on best practices for monitoring applications designed with microservices architecture, including transaction grouping.
NEW QUESTION # 91
Which Application Dashboard view categorizes transactions by load, response time, errors, slow transactions, and stalled transactions in a single aggregated value for a specific time range?
Answer: A
Explanation:
The Transaction Score view in the Application Dashboard categorizes transactions by load, response time, errors, slow transactions, and stalled transactions. It provides an aggregated value for a specific time range, giving an at-a-glance indication of the health and performance of business transactions.
References:
AppDynamics documentation on Transaction Score: https://docs.appdynamics.com/latest/en/application- monitoring/application-dashboard
NEW QUESTION # 92
What are two examples of backend calls? (Choose two.)
Answer: A,D
Explanation:
Backend calls in AppDynamics are the interactions that an application component has with external components or services. These can include calls to databases, remote service calls, and interactions between different tiers of an application.
* A tier-to-tier request refers to any internal call that happens between different tiers (or nodes) within the same application. For example, a web tier calling an API service tier within the same application ecosystem.
* A remote services call is an external call from an application to a service that resides outside of the application ' s environment, like a call to an external web service, REST API, or a third-party service provider.
References:
AppDynamics documentation on Backend Detection: https://docs.appdynamics.com/21.6/en/application- monitoring/identify-backends
NEW QUESTION # 93
A Performance Analyst has an urgent need to gather more data for an ongoing issue. What should the Performance Analyst do?
Answer: D
Explanation:
If a Performance Analyst has an urgent need to gather more data for an ongoing issue, they should enable Development Level Monitoring. This monitoring level increases the amount of detailed diagnostic data collected by the agent, such as snapshots and transaction traces, which can provide deeper insights into the issue at hand.
References:
AppDynamics documentation on Monitoring Levels: Describes the different levels of monitoring available, including Development Level Monitoring and the types of data each level collects.
NEW QUESTION # 94
Within the Application Dashboard, which two methods could a Performance Analyst use to quickly demonstrate that a slow backend is contributing to an application slowdown? (Choose two.)
Answer: A,C
Explanation:
The Application Flow - Grid View and Application Flow Map provide the fastest dashboard-level methods for demonstrating that a backend dependency is contributing to degraded application performance.
In Grid View, the analyst can locate the backend and review dependency-specific indicators such as average response time, calls per minute, errors, and calls made by upstream tiers. Comparing these values across relevant time ranges makes it straightforward to show that backend latency rose at the same time as application response time.
The Application Flow Map provides the same dependency context visually. Selecting the backend exposes its performance metrics and relationship to the calling tier, allowing the analyst to compare current behavior with an earlier timeframe or baseline and demonstrate the backend's contribution to end-to-end latency.
Top Business Transactions focuses primarily on transaction-level performance rather than direct backend comparison. Transaction Snapshots provide detailed evidence for individual executions, but they are less suitable for a rapid dashboard-level comparison across timeframes.
Relevant CAAPA topics include Application Dashboard, Flow Map Analysis, Grid View, Backend Performance, Dependency Response Time, and Time-Range Comparison.
NEW QUESTION # 95
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