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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Flow Maps and Application Architecture | 20% | - Environment and topology overview - Interpreting flow maps - Component dependency visualization |
| Topic 2: Business Transactions | 25% | - Slow, error, and stalled transaction identification - Metrics analysis and baselining - Transaction detection and configuration |
| Topic 3: Information Points, Collectors, and Service Endpoints | 20% | - Service endpoint monitoring - Configuring information points - Database and custom collectors |
| Topic 4: Health Rules, Alerts, and Dashboards | 20% | - Custom dashboards and reporting - Alert configuration and actions - Creating and managing health rules |
| Topic 5: Troubleshooting and Performance Analysis | 15% | - Identifying bottlenecks and root causes - Remediation and optimization steps - Analyzing call graphs and snapshots |
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NEW QUESTION # 64
Which two functions does the Business Transaction Discovery Feature allow a user to perform? (Choose two.)
Answer: C,E
Explanation:
The Business Transaction Discovery feature in AppDynamics allows users to identify new and potential business transactions directly within the Business Transaction Dashboard. This feature aids in the continuous monitoring and adaptation of the application's transaction tracking to changing business needs, ensuring comprehensive visibility. Users can also preview these identified transactions, assessing their relevance and impact on the application's performance before deciding to monitor them as official business transactions.
References:
AppDynamics documentation on Business Transaction Monitoring: Discusses how to manage and monitor business transactions, including the discovery and preview of new or potential transactions.
AppDynamics documentation on Business Transaction Dashboard: Explains the functionalities and features of the Business Transaction Dashboard, including transaction discovery.
NEW QUESTION # 65
What is a reason for creating an Information Point?
Answer: A
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 # 66
A Performance Analyst needs to define a set of Key Performance Indicators (KPIs) from a group of select metrics. The required performance information resides within the Transaction Analytics data set. Which method will accomplish this task?
Answer: C
Explanation:
The Metric Explorer in AppDynamics allows Performance Analysts to define and visualize Key Performance Indicators (KPIs) from a selection of metrics. By accessing the Transaction Analytics data set, analysts can create custom dashboards that focus on the metrics they've determined to be critical KPIs for their application's performance.
References:
AppDynamics documentation on Metric Explorer:
NEW QUESTION # 67
What are two examples of backend calls? (Choose two.)
Answer: A,B
Explanation:
A remote services call and a tier-to-tier request are examples of outbound backend or dependency calls made while processing a Business Transaction.
A remote services call occurs when application code invokes an external HTTP service, web service, messaging destination, or another remote system. AppDynamics detects the associated exit point and reports metrics such as call count, response time, and errors. When the remote destination is not instrumented, it is typically represented as a backend or remote service on the application flow map.
A tier-to-tier request occurs when one monitored application tier calls another instrumented tier.
AppDynamics correlates the outbound exit call with the downstream entry point, producing cross-tier transaction visibility and showing how much downstream processing contributes to total response time.
An asynchronous request represents an execution or thread-handoff pattern and does not inherently constitute a backend call; it may execute entirely within the same tier. A browser request is an inbound entry-point request from an end user, not an outbound dependency invocation.
Relevant CAAPA Study Guide topics include Backend Detection, Exit Calls, Remote Services, Cross-Tier Correlation, Tier-to-Tier Calls, Business Transaction Flow Maps, and Asynchronous Transaction Tracking.
NEW QUESTION # 68
What are two default Business Transaction limits at the Application and Node levels? (Choose two.)
Answer: A,B
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 # 69
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