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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Collectors, Information Points, and Service Endpoints | 25% | - Analyze service endpoint metrics - Configure information points and service endpoints - Define and configure data collectors |
| Topic 2: Health Rules, Dashboards, and Snapshots | 20% | - Locate and analyze snapshots - Create and configure health rules - Create and interpret dashboards |
| Topic 3: Agents and Application Performance | 20% | - Troubleshoot performance problems - Verify agent functionality, performance, and connectivity - Configure alerts and identify system performance metrics - Determine application performance impact and scheduled reports - Monitor performance trends |
| Topic 4: Troubleshooting | 15% | - Identify slow performance and errors from backend systems - Capture snapshots and troubleshoot health rule violations - Utilize dashboards to identify performance issues |
| Topic 5: Business Transactions | 20% | - Create and configure business transaction settings - Manage discovery and analyze transaction metrics - Determine transaction scope and rule assignment |
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NEW QUESTION # 26
A Performance Analyst needs to define a special database Key Performance Indicator (KPI). Which menu options should be used?
Answer: A
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 # 27
After reviewing a problem that caused an outage, a Performance Analyst wants to create a single health rule that evaluates multiple conditions. Which two options are valid condition-matching values? (Choose two.)
Answer: A,D
Explanation:
AppDynamics health-rule criteria provide two supported methods for evaluating multiple conditions: All of the following conditions are met and Any of the following conditions are met.
Selecting All applies logical AND behavior. Every configured condition must evaluate as true during the health rule's evaluation period before AppDynamics generates the warning or critical violation. For the outage scenario, this is the appropriate selection when the alert must occur only when several symptoms- such as elevated response time, increased errors, and high CPU utilization-happen together.
Selecting Any applies logical OR behavior. AppDynamics creates the violation when at least one configured condition becomes true. This is useful when several independent symptoms can indicate the same operational problem.
Although "And" and "Or" describe the underlying logical concepts, they are not the named values presented for multi-condition health-rule evaluation in this context. The interface uses All and Any.
Relevant CAAPA Study Guide topics include Health Rule Conditions, Warning and Critical Criteria, Condition Evaluation Logic, Evaluation Time, Violation Wait Time, and Policy Triggering.
NEW QUESTION # 28
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: B
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 # 29
What are two default Business Transaction limits at the Application and Node levels? (Choose two.)
Answer: D,F
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 # 30
Which two methods are used to plot Host CPU and GC Time Spent in a single view? (Choose two.)
Answer: A,D
Explanation:
To plot Host CPU and GC (Garbage Collection) Time Spent in a single view, the "JMX tab under 'Tiers and Nodes'" and the "Metrics Browser" are the appropriate methods. TheJMX tab provides access to Java Management Extensions (JMX) metrics, including those related to GC time. The Metrics Browser allows for the customization and aggregation of various metrics, including Host CPU usage and GC metrics, enabling a combined view of these critical performance indicators.
References:
AppDynamics documentation on Monitoring Tiers and Nodes: Discusses the JMX metrics available for Java applications, including garbage collection details.
AppDynamics documentation on the Metrics Browser: Describes how to use the Metrics Browser to view and analyze a wide range of performance metrics.
NEW QUESTION # 31
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