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| Section | Weight | Objectives |
|---|---|---|
| Troubleshooting | 15% | - Identify slow performance and errors from backend systems - Utilize dashboards to identify performance issues - Capture snapshots and troubleshoot health rule violations |
| Agents and Application Performance | 20% | - Troubleshoot performance problems - Determine application performance impact and scheduled reports - Configure alerts and identify system performance metrics - Verify agent functionality, performance, and connectivity - Monitor performance trends |
| Business Transactions | 20% | - Determine transaction scope and rule assignment - Create and configure business transaction settings - Manage discovery and analyze transaction metrics |
| Collectors, Information Points, and Service Endpoints | 25% | - Configure information points and service endpoints - Analyze service endpoint metrics - Define and configure data collectors |
| Health Rules, Dashboards, and Snapshots | 20% | - Create and configure health rules - Create and interpret dashboards - Locate and analyze snapshots |
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NEW QUESTION # 62
Periodic Snapshot thresholds can be configured at which two levels? (Choose two.)
Answer: A,C
Explanation:
Periodic Transaction Snapshot thresholds can be configured at the Application level and overridden for an individual Business Transaction.
The application-level configuration establishes the default periodic snapshot behavior for all Business Transactions within the monitored application. This provides a consistent collection policy, including how frequently normal transaction snapshots are captured for ongoing diagnostic visibility.
For a particularly important or high-risk Business Transaction, the Performance Analyst can define transaction-specific settings. The individual-transaction configuration overrides the application default, allowing more frequent or specialized snapshot collection for critical operations such as checkout, payment authorization, login, or order submission.
Periodic snapshot thresholds are not configured directly at the node or tier level. Nodes inherit the transaction- monitoring configuration associated with their application and Business Transactions. Service Endpoints generate their own performance metrics, but they do not use the Business Transaction periodic snapshot threshold model independently.
This hierarchy enables broad application-wide governance while still allowing targeted diagnostic depth for selected transactions. Relevant CAAPA Study Guide topics include Transaction Snapshot Collection, Periodic Snapshots, Application-Level Snapshot Configuration, Business Transaction Overrides, Diagnostic Sessions, and Snapshot Collection Thresholds.
NEW QUESTION # 63
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 # 64
A development team responsible for the front-end shopping application has asked to receive an email every time the Java container thread count exceeds 25. Which alert and response capabilities settings will provide the email?
Answer: C
Explanation:
In AppDynamics, you can create health rules to monitor various metrics and set up actions based on the thresholds defined for these metrics. For monitoring Java container thread counts, you can set a health rule based on Node Health - specifically on thread pools - to trigger when the thread count exceeds a specific value. The Notification Action can then be configured to send an email to the development team whenever this threshold is breached.
References:
AppDynamics documentation on Health Rules: https://docs.appdynamics.com/21.6/en/infrastructure-visibility
/health-rules
NEW QUESTION # 65 
Refer to the exhibit. When looking at the Transaction Score for a specific transaction, how are errors in the transaction identified?
Answer: B
Explanation:
Errors in a transaction are identified by examining the snapshots that capture the problematic transactions. By setting the appropriate time range, a Performance Analyst can drill down into the snapshots within the Error tab to identify and analyze errors. These snapshots provide detailed diagnostic information, such as stack traces, slow SQL queries, and error logs, which are vital for pinpointing the root cause of transaction errors.
References:
AppDynamics documentation on Transaction Snapshots:
NEW QUESTION # 66
Which type of Data Collector will capture code data such as method arguments, variables, and return values?
Answer: A
Explanation:
The "Method Invocation Data Collector" is specifically designed to capture code-level data such as method arguments, variables, and return values. This type of data collector enables deep visibility into the execution of methods within transactions, providing valuable insights into the application's behavior and performance. This detailed level of monitoring is essential for diagnosing complex issues and understanding the inner workings of business transactions.
References:
AppDynamics documentation on Data Collectors: Details the types of data collectors available, including Method Invocation Data Collectors, and how they can be used to capture detailed code-level data.
NEW QUESTION # 67
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