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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Information Points, Collectors, and Service Endpoints | 20% | - Configuring information points - Database and custom collectors - Service endpoint monitoring |
| Topic 2: Troubleshooting and Performance Analysis | 15% | - Remediation and optimization steps - Identifying bottlenecks and root causes - Analyzing call graphs and snapshots |
| Topic 3: Business Transactions | 25% | - Transaction detection and configuration - Metrics analysis and baselining - Slow, error, and stalled transaction identification |
| Topic 4: Health Rules, Alerts, and Dashboards | 20% | - Creating and managing health rules - Alert configuration and actions - Custom dashboards and reporting |
| Topic 5: Flow Maps and Application Architecture | 20% | - Environment and topology overview - Interpreting flow maps - Component dependency visualization |
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NEW QUESTION # 73
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: D
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 # 74
When a manual diagnostic session is triggered, what snapshots are captured?
Answer: C
Explanation:
A manual diagnostic session causes AppDynamics to collect detailed transaction snapshots for the selected Business Transaction during the active diagnostic period. When an instance of that Business Transaction crosses multiple instrumented tiers or nodes, the snapshot collection context is propagated with the transaction. Consequently, AppDynamics captures the participating transaction segments from all nodes through which the Business Transaction passes, producing an end-to-end distributed snapshot.
The capture is not restricted to transactions classified as slow, very slow, or errors. Those classifications are commonly used by automatic diagnostic-session and snapshot-triggering mechanisms, whereas a manual session is deliberately initiated to gather deeper diagnostic evidence, including transactions that might otherwise be considered normal.
Option D is incomplete because the triggering node initiates snapshot collection, but the resulting distributed snapshot can include downstream nodes that participate in the transaction. Options A and C incorrectly limit collection to performance-policy violations and error conditions.
Relevant CAAPA Study Guide topics include Transaction Snapshots, Manual Diagnostic Sessions, Distributed Transaction Correlation, Call Graph Collection, Business Transaction Health, and Cross-Tier Transaction Tracing.
NEW QUESTION # 75
Which two tabs in the Transaction Snapshot window point the developer to a class, method, and line number in the code? (Choose two.)
Answer: A,B
Explanation:
The Call Graph and Slow Calls & Errors > Hot Spots views provide the code-level detail needed to direct developers to the relevant class, method, and source-code line.
The Call Graph presents the instrumented execution sequence for a transaction snapshot. It shows invoked classes and methods, execution timing, parent-child relationships, and-where available from the runtime and debugging metadata-the associated source line number. This enables a developer to trace the request path and identify precisely where application time was consumed.
The Hot Spots view summarizes the methods that contributed most significantly to transaction latency or errors. Rather than requiring the analyst to inspect every branch of the call graph, it highlights expensive methods and provides class, method, timing, and source-location context for rapid code remediation.
Data Collectors display captured arguments, return values, headers, or other contextual data. DB and Remote Services Calls focuses on exit calls and downstream dependencies. Servers presents infrastructure context, while More contains supplementary snapshot information.
Relevant CAAPA Study Guide topics include Transaction Snapshots, Call Graph Analysis, Slow Calls and Errors, Hot Spots, Method Execution Time, and Code-Level Diagnostics.
NEW QUESTION # 76 
Refer to the exhibit. On which tab will the configured transaction threshold be found?
Answer: B
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 # 77
What are two types of Data CollectorsinAppDynamics APM? (Choose two.)
Answer: A,C
Explanation:
In AppDynamics Application Performance Management (APM), two types of Data Collectors are SQL data collectors and Method invocation data collectors. SQL data collectors capture and record detailed information about SQL queries executed by the application, helping identify slow or inefficient database operations.
Method invocation data collectors capture information about specific method calls within the application code, including execution times and parameters, providing deep insights into code-level performance.
References:
AppDynamics documentation on Data Collectors: Provides detailed information on configuring SQL and Method invocation data collectors for in-depth application monitoring.
NEW QUESTION # 78
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