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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Business Transactions | 25% | - Metrics analysis and baselining - Slow, error, and stalled transaction identification - Transaction detection and configuration |
| Topic 2: Troubleshooting and Performance Analysis | 15% | - Remediation and optimization steps - Analyzing call graphs and snapshots - Identifying bottlenecks and root causes |
| Topic 3: Health Rules, Alerts, and Dashboards | 20% | - Custom dashboards and reporting - Alert configuration and actions - Creating and managing health rules |
| Topic 4: Flow Maps and Application Architecture | 20% | - Environment and topology overview - Interpreting flow maps - Component dependency visualization |
| Topic 5: Information Points, Collectors, and Service Endpoints | 20% | - Service endpoint monitoring - Configuring information points - Database and custom collectors |
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NEW QUESTION # 106
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,B
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 # 107
Which two rule types are available when creating new transaction detection rules? (Choose two.)
Answer: A,D
Explanation:
AppDynamics provides two applicable rule types when defining transaction detection behavior: Exclude Rules and Custom Match Rules.
A Custom Match Rule explicitly identifies application requests that should be detected as Business Transactions. The rule can match requests by entry point, class and method, URL, servlet, framework-specific attributes, headers, parameters, or other request data. It can also control transaction naming and splitting, allowing related requests to be grouped or separated according to operational requirements.
An Exclude Rule prevents matching requests from being discovered or registered as Business Transactions.
This is useful for suppressing low-value traffic such as health checks, static-resource requests, polling calls, or framework-generated activity that would otherwise consume Business Transaction limits and add unnecessary metric noise.
An Automatic Discovery Rule is not created as a separate rule type in this context; automatic discovery is the agent's default transaction-identification behavior. A Health Rule evaluates monitored metrics and triggers policy actions, while an Include Rule is not a transaction detection rule category.
Relevant CAAPA topics include Business Transaction Detection, Custom Match Rules, Exclude Rules, Entry- Point Matching, Automatic Discovery, and Business Transaction Registration Limits.
NEW QUESTION # 108
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: C
Explanation:
If a Business Transaction stops being displayed on the Business Transaction Dashboard after continuous load, it could be due to the deletion of the Business Transaction Custom Match Rule. Custom Match Rules in AppDynamics are used to define custom business transactions based on specific criteria. If such a rule is deleted, transactions that were previously identified and displayed based on that rule may no longer be recognized as distinct business transactions, leading to their disappearance from the dashboard.
References:
AppDynamics documentation on Business Transactions: Provides insights on configuring and managing business transactions, including the use of custom match rules.
NEW QUESTION # 109
Which format is used to archive dashboard metadata?
Answer: C
Explanation:
AppDynamics dashboard metadata is archived in JSON format. JSON preserves the dashboard's structural and configuration information, including widget definitions, layout, metric references, display settings, data sources, labels, and other properties required to reconstruct the dashboard.
This format is appropriate because dashboard metadata is hierarchical configuration data rather than a flat report. A JSON archive can retain nested relationships among dashboard objects and can be exported, stored in source control, transferred between compatible Controller environments, or used as part of backup and migration procedures.
PDF is intended for rendering a visual report and does not preserve editable dashboard configuration. CSV and XLSX are tabular formats suitable for exporting metric or report data, but they cannot accurately represent the complete object structure and layout of a custom dashboard.
Therefore, when the objective is to archive the dashboard definition itself rather than merely capture its displayed output, JSON is the correct format.
Relevant CAAPA Study Guide topics include Custom Dashboards, Dashboard Import and Export, Metadata Archiving, JSON Configuration, Controller Migration, and Dashboard Backup Procedures.
NEW QUESTION # 110
An AppDynamics deployment has Business Transaction Lock Down turned on. The company has just added an important service to its application and wants to track this service as a unique Business Transaction. What action is needed to achieve this?
Answer: B
Explanation:
When Business Transaction Lock Down is enabled in AppDynamics, no new business transactions will be automatically discovered to avoid uncontrolled growth in the number of business transactions. To track a new service as a unique Business Transaction, one needs to create a Custom Match Rule that specifies the criteria for identifying the business transaction. In this case, the Custom Match Rule should be based on the Web Service Name and Operation Name which are the distinguishing characteristics of the new service. This allows for the precise identification and monitoring of the service within the AppDynamics platform.References:AppDynamics documentation on Business Transaction configuration and Custom Match Rules.
NEW QUESTION # 111
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