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| Section | Weight | Objectives |
|---|---|---|
| Troubleshooting | 15% | - Utilize dashboards to identify performance issues - Identify slow performance and errors from backend systems - Capture snapshots and troubleshoot health rule violations |
| 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 - Locate and analyze snapshots - Create and interpret dashboards |
| Agents and Application Performance | 20% | - Verify agent functionality, performance, and connectivity - Determine application performance impact and scheduled reports - Troubleshoot performance problems - Configure alerts and identify system performance metrics - Monitor performance trends |
| Business Transactions | 20% | - Determine transaction scope and rule assignment - Manage discovery and analyze transaction metrics - Create and configure business transaction settings |
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NEW QUESTION # 31
Which values can be used to identify a split exit point?
Answer: C
Explanation:
A split exit point in AppDynamics is identified using static application values. Static values provide a consistent and predictable way to categorize exit points, making it easier to aggregate and analyze similar types of interactions with external services or components.
References:
AppDynamics documentation on Exit Points: Provides insights into how exit points are defined and identified within AppDynamics, including the use of static values for split exit points.
NEW QUESTION # 32
What does the Live Preview option in a Business Transaction Discovery Session allow a user to do?
Answer: D
Explanation:
The Live Preview option allows a Performance Analyst to stream entry points detected in the application while a Business Transaction Discovery Session is active. As representative traffic executes, the Application Agent reports candidate entry points in near real time, helping the analyst identify application activity that automatic Business Transaction detection may not already recognize.
This capability is especially useful for proprietary frameworks, background processes, scheduled jobs, and other nonstandard execution paths. The analyst can observe the entry-point activity, determine which class and method represent the start of a meaningful transaction, and then use that information to configure an appropriate Custom Match Rule.
Live Preview does not provide streaming application or agent logs. Searching and browsing classes and methods is a related Discovery Session capability, but it is distinct from the Live Preview function. Likewise, rule validation can be performed after defining detection criteria, but the primary purpose of Live Preview is to expose active entry points as they occur.
Relevant CAAPA Study Guide topics include Business Transaction Discovery Sessions, Live Preview, Entry- Point Detection, Class and Method Browsing, Custom Match Rules, and Nonstandard Framework Instrumentation.
NEW QUESTION # 33
A Performance Analyst needs to define a special database Key Performance Indicator (KPI). Which menu options should be used?
Answer: B
Explanation:
A database-specific KPI is created through Databases > Configuration > Custom Metrics. This area allows the Performance Analyst to define additional database measurements that are not included among the standard metrics collected by Database Visibility. A custom metric is typically based on a database query that returns a numeric value, such as queue depth, replication lag, application-specific record counts, storage utilization, or another operational indicator important to the organization.
After configuration, the Database Agent executes the metric query according to the defined collection interval and reports the resulting value to the Controller. The KPI can then be reviewed with other database metrics and incorporated into dashboards, health rules, baselines, and alerting policies.
The Metric Browser is used to inspect and analyze metrics already being collected; it is not the primary location for defining a new database custom metric. Application Instrumentation configures Application Agent transaction detection and code-level monitoring, while Slow Transaction Thresholds controls Business Transaction performance classification rather than database KPI creation.
Relevant CAAPA Study Guide topics include Database Visibility, Database Agent Configuration, Custom Database Metrics, Metric Queries, KPI Monitoring, Health Rules, and Metric Browser Analysis.
NEW QUESTION # 34
A Performance Analyst is reviewing Business Transactions with an application team. The application team wants to increase the Application Business Transaction limit because it needs visibility into all the different transactions. What should the Performance Analyst do?
Answer: D
Explanation:
The Performance Analyst should first investigate the Business Transactions exceeding the configured limit and determine why so many unique transactions are being registered. Business Transaction limits protect the Controller from excessive metric creation, unnecessary cardinality, and degraded monitoring performance.
A high transaction count is often caused by overly granular transaction naming, dynamic URL segments, request parameters, identifiers, or automatic discovery rules that create a separate Business Transaction for each variation. The analyst should review All Other Traffic, transaction detection rules, naming rules, and the entry points generating excessive registrations. Low-value traffic such as health checks, static resources, or framework-generated requests can be excluded, while related requests can be grouped or split more deliberately through Custom Match Rules.
Increasing the limit without correcting the underlying detection behavior may only postpone the problem and increase Controller resource consumption. The limit should be raised only after the transaction model has been validated and a genuine business requirement remains.
Relevant CAAPA Study Guide topics include Business Transaction Limits, All Other Traffic, Transaction Detection Rules, Custom Match Rules, Exclude Rules, Transaction Naming, and Metric Cardinality Management.
NEW QUESTION # 35
Which health rule violation event will be triggered when a Performance Analyst modifies the existing health rule that is already in critical violation?
Answer: C
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 # 36
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