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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Health Rules, Alerts, and Dashboards | 20% | - Custom dashboards and reporting - Alert configuration and actions - Creating and managing health rules |
| Topic 2: Troubleshooting and Performance Analysis | 15% | - Analyzing call graphs and snapshots - Remediation and optimization steps - Identifying bottlenecks and root causes |
| Topic 3: Business Transactions | 25% | - Transaction detection and configuration - Metrics analysis and baselining - Slow, error, and stalled transaction identification |
| Topic 4: Information Points, Collectors, and Service Endpoints | 20% | - Service endpoint monitoring - Database and custom collectors - Configuring information points |
| Topic 5: Flow Maps and Application Architecture | 20% | - Component dependency visualization - Interpreting flow maps - Environment and topology overview |
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NEW QUESTION # 117
A Performance Analyst has opened a database collector view. Which tab should be clicked on next to find slow queries?
Answer: C
Explanation:
When analyzing database performance in AppDynamics, the "Queries" tab within the database collector view is where a Performance Analyst should navigate to find slow queries. This tab presents a list of database queries executed by the application, highlighting those with long execution times, which are potential bottlenecks impacting application performance.
References:
AppDynamics documentation on Database Monitoring: Details the database collector feature, including how to use the Queries tab to identify and analyze slow database queries.
NEW QUESTION # 118
Which two views can a Controller-level custom dashboard provide? (Choose two.)
Answer: A,C
Explanation:
Controller-level custom dashboards in AppDynamics have the flexibility to provide views that aggregate and compare data from different applications on the same Controller, as well as offer a customized view of applications, servers, and database performance data. This capability enables a holistic view of the IT environment, facilitating cross-application insights and the ability to correlate performance across different layers of the technology stack. Such dashboards are invaluable for understanding overarching trends, pinpointing systemic issues, and driving informed decision-making across multiple applications and infrastructure components.
References:
AppDynamics documentation on Custom Dashboards: Provides detailed instructions on creating and customizing dashboards at the Controller level, including the aggregation and comparison of data from various sources.
AppDynamics documentation on Controller UI: Explains the functionalities available within the Controller UI, including the creation of comprehensive dashboards that encompass application, server, and database metrics.
NEW QUESTION # 119
Which values can be used to identify a split exit point?
Answer: B
Explanation:
A split exit point in AppDynamics is identified using static application values. Static values provide a consistent and predictable way to categorize exit points, making it easier to aggregate and analyze similar types of interactions with external services or components.
References:
AppDynamics documentation on Exit Points: Provides insights into how exit points are defined and identified within AppDynamics, including the use of static values for split exit points.
NEW QUESTION # 120
Which AppDynamics option will allow a Performance Analyst to compare and filter related servers using custom metadata within your environment?
Answer: A
Explanation:
Server Tagging in AppDynamics allows a Performance Analyst to compare and filter related servers by using custom metadata. This feature enables users to group and organize their servers based on criteria that make sense for their environment, such as role, location, environment type, or any other custom metadata.
References:
AppDynamics documentation on Server Tagging: https://docs.appdynamics.com/latest/en/infrastructure- visibility/infrastructure-visibility-settings/server-tags
NEW QUESTION # 121
What are three effects of Development Level Monitoring? (Choose three.)
Answer: B,E,F
Explanation:
Development Level Monitoring is intended for controlled development or diagnostic environments where maximum transaction visibility is more important than minimizing agent overhead. In this mode, the agent captures full call graphs, providing method-level execution detail rather than the reduced or partial call-graph collection associated with normal production monitoring.
The agent also attempts to collect a transaction snapshot for every transaction. "Attempts" is the critical distinction: snapshot creation remains subject to agent safeguards, resource constraints, transaction behavior, and collection limits. Therefore, Development Level Monitoring does not provide an absolute guarantee that every transaction will produce a retained snapshot, making option F incorrect.
Development mode additionally collects more detailed exit-call information for calls to backend systems, improving analysis of downstream databases, services, and other remote dependencies.
The agent does not ignore dev-mode-suspend-cpm. This property is a protective calls-per-minute threshold that can suspend development-mode collection when transaction volume becomes excessive. Relevant CAAPA Study Guide topics include Agent Configuration, Monitoring Levels, Transaction Snapshots, Call Graph Collection, Exit Calls, and Development-Mode Performance Safeguards.
NEW QUESTION # 122
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