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| Section | Weight | Objectives |
|---|---|---|
| Troubleshooting and Performance Analysis | 15% | - Analyzing call graphs and snapshots - Remediation and optimization steps - Identifying bottlenecks and root causes |
| Business Transactions | 25% | - Transaction detection and configuration - Metrics analysis and baselining - Slow, error, and stalled transaction identification |
| Information Points, Collectors, and Service Endpoints | 20% | - Database and custom collectors - Service endpoint monitoring - Configuring information points |
| Health Rules, Alerts, and Dashboards | 20% | - Alert configuration and actions - Creating and managing health rules - Custom dashboards and reporting |
| Flow Maps and Application Architecture | 20% | - Environment and topology overview - Component dependency visualization - Interpreting flow maps |
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NEW QUESTION # 115
What must a Performance Analyst first configure in order to monitor end-to-end latency performance metrics in AppDynamics?
Answer: C
Explanation:
To monitor end-to-end latency performance metrics, a Performance Analyst must first define the end-to-end latency transaction. This involves configuring the business transactions to include the necessary entry and exit points that capture the complete flow of the transaction, thereby enabling the measurement of the total latency.
References:
AppDynamics documentation on Business Transactions: https://docs.appdynamics.com/latest/en/application- monitoring/business-transactions
NEW QUESTION # 116
What are two default Business Transaction limits at the Application and Node levels? (Choose two.)
Answer: C,F
Explanation:
By default, AppDynamics allows a maximum of 200 registered Business Transactions per application and 50 Business Transactions per node.
The application-level limit controls the total number of unique Business Transactions that can be registered across all tiers and nodes belonging to the application. The node-level limit restricts how many transactions a single Application Agent can independently discover and register. These safeguards prevent uncontrolled Business Transaction growth, excessive metric creation, and unnecessary Controller resource consumption.
When either limit is reached, newly discovered requests are not registered as individual Business Transactions. Instead, they are typically grouped into an All Other Traffic category for the affected tier or entry-point type. Important transactions can still be prioritized by creating Custom Match Rules, excluding low-value traffic, refining transaction naming, or adjusting registration limits where operationally justified.
The application limit is not 100 or 300 by default, and the node limit is not 75 or 200.
Relevant CAAPA Study Guide topics include Business Transaction Registration Limits, Application and Node Limits, All Other Traffic, Automatic Transaction Discovery, Custom Match Rules, Exclude Rules, and Business Transaction Lock Down.
NEW QUESTION # 117
A Performance Analyst is creating a custom baseline and attempting to tag it to a widget in a dashboard.
Which statement is true?
Answer: B
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 # 118
Which three data points are visible when drilled into a call graph? (Choose three.)
Answer: B,C,E
Explanation:
When a Performance Analyst drills into a call graph, AppDynamics exposes method-level execution details that identify where transaction processing time was consumed. The method name identifies the specific application method invoked within the transaction execution path. Method time in milliseconds shows how much time was attributed to that method, enabling the analyst to isolate expensive code paths, compare parent and child execution time, and determine whether latency originates in application code or a downstream dependency.
The call graph can also display Service Endpoints encountered during transaction processing. Service Endpoints represent independently monitored application services or methods and help the analyst understand how internal service execution contributes to the overall Business Transaction response time.
The Business Transaction name and user-experience classification-such as normal, slow, very slow, stalled, or error-are transaction-snapshot context rather than method-level call-graph drill-down data. They describe the transaction as a whole, while the call graph focuses on the execution sequence and timing of instrumented methods and service interactions.
Relevant CAAPA Study Guide topics include Transaction Snapshots, Call Graph Analysis, Method Execution Time, Service Endpoints, Code-Level Diagnostics, and Business Transaction Troubleshooting.
NEW QUESTION # 119 
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 # 120
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