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| Section | Weight | Objectives |
|---|---|---|
| Collectors, Information Points, and Service Endpoints | 25% | - Define and configure data collectors - Configure information points and service endpoints - Analyze service endpoint metrics |
| Health Rules, Dashboards, and Snapshots | 20% | - Create and configure health rules - Create and interpret dashboards - Locate and analyze snapshots |
| Troubleshooting | 15% | - Capture snapshots and troubleshoot health rule violations - Utilize dashboards to identify performance issues - Identify slow performance and errors from backend systems |
| Business Transactions | 20% | - Determine transaction scope and rule assignment - Manage discovery and analyze transaction metrics - Create and configure business transaction settings |
| Agents and Application Performance | 20% | - Monitor performance trends - Determine application performance impact and scheduled reports - Troubleshoot performance problems - Verify agent functionality, performance, and connectivity - Configure alerts and identify system performance metrics |
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NEW QUESTION # 99
How can a Business Transaction be permanently deleted?
Answer: A
Explanation:
To permanently remove a Business Transaction, the analyst must first exclude it from transaction detection and then delete it from the Business Transaction list. Deleting the transaction alone removes its current registration and associated visibility from the Controller, but the Application Agent can rediscover and register it again when matching traffic is observed.
An exclusion rule prevents future requests matching the specified entry point or transaction criteria from being detected as that Business Transaction. After the exclusion is configured and applied, the existing Business Transaction can be deleted safely without being recreated by automatic discovery.
Business Transaction Automatic Cleanup removes stale or inactive transactions according to retention and cleanup criteria; it does not prevent an active transaction from being rediscovered. Merely deleting the transaction from the list is therefore temporary when matching requests continue. Modifying a detection rule may alter transaction classification, but the explicit and reliable method for permanent removal is to exclude the transaction before deleting its existing registration.
Relevant CAAPA Study Guide topics include Business Transaction Detection, Exclude Rules, Automatic Discovery, Business Transaction Registration, Transaction Cleanup, and Business Transaction Management.
NEW QUESTION # 100
What is a reason for creating an Information Point?
Answer: B
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 # 101
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: B
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 # 102
Which tool should be used to analyze all the External Call details, including database and remote service calls, for a specific Business Transaction?
Answer: C
Explanation:
The Transaction Snapshot is the correct tool for analyzing detailed external calls associated with a specific Business Transaction. A snapshot captures one execution instance and provides drill-down visibility into the complete transaction path, including database calls, remote service calls, exit calls, call graphs, errors, and timing information.
Within the snapshot, the DB and Remote Services Calls view identifies each downstream dependency invoked during the transaction. The Performance Analyst can examine call duration, number of calls, SQL or database activity where available, remote service destinations, backend response time, and the contribution of each external call to total transaction latency. This makes snapshots particularly effective for determining whether a slow database query or remote service is responsible for degraded Business Transaction performance.
The Business Transaction List provides aggregated transaction metrics but not execution-level external call detail. The Application Dashboard summarizes overall application behavior and dependencies, while the Metric Browser displays time-series metrics without the complete per-transaction call context.
Relevant CAAPA Study Guide topics include Transaction Snapshots, DB and Remote Services Calls, Exit Calls, Call Graphs, Backend Analysis, and Business Transaction Troubleshooting.
NEW QUESTION # 103
Which health rule violation event will be triggered when a Performance Analyst modifies the existing health rule that is already in critical violation?
Answer: D
Explanation:
When a Performance Analyst modifies an existing health rule that is already in a state of critical violation, the event that is typically triggered is "Health Rule Violation Continues - Critical." This event indicates that, despite the modification, the health rule is still being violated at a critical level. The system recognizes that the conditions for the health rule violation are still being met and continues to alert accordingly.
References:
AppDynamics documentation on Health Rules and Events: Explains the different types of health rule events and the conditions under which they are triggered.
NEW QUESTION # 104
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