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| Section | Objectives |
|---|---|
| AppDynamics Architecture | - Controller and agents
|
| Monitoring and Instrumentation | - Infrastructure monitoring
|
| Alerting and Business Performance | - Business transaction performance
|
| Diagnostics and Troubleshooting | - Root cause analysis
|
| Dashboards and Reporting | - Performance dashboards
|
| AppDynamics Fundamentals | - APM concepts and terminology
|
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NEW QUESTION # 47
An online order portal for a restaurant has a "menu" transaction with different request types that must be monitored as separate transactions, such as "menu.salads" and "menu.entree." A Performance Analyst wants to create one rule that separates the transactions instead of creating an individual rule for each request type.
Which option should be enabled on a Custom Match rule?
Answer: D
Explanation:
The Performance Analyst should enable Split Transaction using request data. This capability allows a single Custom Match rule to dynamically divide one base transaction into multiple business transactions according to values contained in the incoming HTTP request. For example, the rule can identify the base transaction as menu and append a request-derived value such as salads or entree, producing distinct transactions named menu.salads and menu.entree.
This approach avoids maintaining separate match rules for every menu category and scales automatically as additional request values are introduced.
An HTTP Request Data Collector captures request attributes for visibility within transaction snapshots but does not itself split or rename business transactions. A Method Invocation Data Collector captures method parameters, return values, or invoked-object data and is also unrelated to transaction splitting. Split Transaction using JSON is appropriate only when the required discriminator must specifically be extracted from a JSON payload.
Relevant CAAPA topics include Business Transaction Detection, Custom Match Rules, Transaction Naming, Request-Based Splitting, and Data Collectors.
NEW QUESTION # 48
How does a Performance Analyst identify if automatic remediation has been taken for a health rule violation?
Answer: B
Explanation:
To identify if automatic remediation actions have been taken for a health rule violation in AppDynamics, a Performance Analyst should expand the "Description" field of the health rule violation event. This section will provide details on the actions executed as part of the automatic remediation process. These details help analysts understand the steps taken by the system to mitigate the issue without manual intervention.References:AppDynamics documentation on Health Rule Violations and Automated Actions.
NEW QUESTION # 49
What are two options tor sharing snapshot details from the snapshot window? (Choose two.)
Answer: A,C
Explanation:
To share snapshot details from the snapshot window in AppDynamics, the options to "Download PDF" and
"Export" are typically used. "Download PDF" allows users to generate a PDF report of the snapshot details, providing a convenient and portable format for sharing and review. The "Export" option enables the extraction of snapshot data in various formats (e.g., CSV, XML), facilitating further analysis or sharing with other tools and stakeholders.
References:
AppDynamics documentation on Snapshots: This section covers how snapshots capture detailed performance data for transactions, including how to share and export this information for collaborative analysis.
NEW QUESTION # 50
Business users of an e-commerce site want to see the running aggregate checkout value stored in the Java class Checkout. How would a Performance Analyst capture this data?
Answer: D
Explanation:
A method invocation data collector is used because the required business value exists inside the Java application's Checkout class rather than in the HTTP request.
The Performance Analyst configures the collector against the appropriate class and method, then identifies the value through a method argument, return value, object field, or getter chain. AppDynamics captures that checkout value when the configured method executes and associates it with the corresponding Business Transaction data. The collected value can subsequently be used for business analysis and aggregation, allowing stakeholders to report total or running checkout value over a selected time period.
A dashboard widget can visualize or aggregate data that AppDynamics already collects, but it cannot independently extract a value from Java code. An HTTP data collector is appropriate only when the required value is contained in request parameters, headers, cookies, session attributes, or other HTTP data. A REST export retrieves existing Controller data and therefore does not solve the initial instrumentation requirement.
Relevant CAAPA Study Guide topics include Method Invocation Data Collectors, Java Class and Method Instrumentation, Getter Chains, Business Data Collection, Transaction Analytics, and Custom Dashboard Visualization.
NEW QUESTION # 51
A Business Transaction was registered and displayed on the Business Transaction Dashboard. It has continuous load on it. After an hour, the Business Transaction stopped being displayed in the Business Transaction Dashboard. Which action stopped the display of the Business Transaction?
Answer: B
Explanation:
Excluding the Business Transaction from the Business Transaction Dashboard removes it from the displayed transaction list even while traffic continues to execute. Exclusion is specifically intended to suppress unwanted or low-value transactions from normal Business Transaction visibility and prevent them from consuming monitored transaction capacity.
Deleting the Business Transaction alone would not reliably keep it absent. Because the transaction has continuous load, the Application Agent could rediscover and register it again, causing it to reappear. Enabling Business Transaction Lock Down prevents newly discovered transactions from being registered, but it does not automatically remove Business Transactions that were already registered before lockdown was enabled.
Deleting a Custom Match Rule also does not directly remove the existing registered Business Transaction.
The transaction might remain registered, or automatic transaction discovery could continue detecting the same entry point.
Therefore, the action that directly explains why the continuously active transaction stopped appearing is that it was excluded from the Business Transaction Dashboard.
Relevant CAAPA topics include Business Transaction Exclusion, Transaction Registration, Automatic Rediscovery, Business Transaction Lock Down, Custom Match Rules, and Dashboard Visibility.
NEW QUESTION # 52
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