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| Section | Weight | Objectives |
|---|---|---|
| Flow Maps and Application Architecture | 20% | - Component dependency visualization - Interpreting flow maps - Environment and topology overview |
| Business Transactions | 25% | - Transaction detection and configuration - Slow, error, and stalled transaction identification - Metrics analysis and baselining |
| Health Rules, Alerts, and Dashboards | 20% | - Creating and managing health rules - Custom dashboards and reporting - Alert configuration and actions |
| Information Points, Collectors, and Service Endpoints | 20% | - Service endpoint monitoring - Database and custom collectors - Configuring information points |
| Troubleshooting and Performance Analysis | 15% | - Analyzing call graphs and snapshots - Identifying bottlenecks and root causes - Remediation and optimization steps |
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44. Frage
Refer to the exhibit.
The application flow map shows several downstream applications in yellow, while the flow lines are blue and activity within the current application appears normal. Because the tier depends on these downstream applications, how could a Performance Analyst quickly evaluate the map against previous performance?
Antwort: C
Begründung:
The Performance Analyst should use Compare Against Baseline. This flow-map function provides an immediate comparison between current application behavior and the established historical baseline for the selected time range. It helps identify whether response time, load, call volume, or dependency behavior has deviated from what AppDynamics considers normal.
In the exhibit, the yellow downstream applications indicate a warning state, even though the blue flow lines suggest that the current calls themselves are not showing an obvious critical condition. Comparing the current flow map against baseline allows the analyst to determine whether those downstream dependencies are performing worse than their customary levels and whether the tier's dependency pattern has changed.
Correlation Analysis is intended to identify statistical relationships among metrics rather than provide a direct historical flow-map comparison. Health Rule Violations show triggered conditions but do not provide the fastest visual comparison with prior performance. Metric Browser Baselines can expose baseline values for individual metrics, but require more manual investigation.
Relevant CAAPA topics include Application Flow Maps, Dynamic Baselines, Compare Against Baseline, Dependency Analysis, and Health-State Interpretation.
45. Frage 
Refer to the exhibit. On which tab will the configured transaction threshold be found?
Antwort: A
Begründung:
In Cisco AppDynamics, the transaction threshold configurations are typically found under the " Overview " tab. This is where you can view the health rule violations and performance baselines that are associated with transaction snapshots, which can include the configured transaction thresholds. These thresholds set the acceptable performance limits for transactions, and when these limits are exceeded, it may trigger health rule violations that are visible on the Overview tab.
References:
AppDynamics Documentation on Transaction Snapshots
AppDynamics Documentation on Health Rule Violations
46. Frage
A Performance Analyst needs to define a special database Key Performance Indicator (KPI). Which menu options should be used?
Antwort: A
Begründung:
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.
47. Frage
How can a Business Transaction be permanently deleted?
Antwort: C
Begründung:
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.
48. Frage
Which AppDynamics option will allow a Performance Analyst to compare and filter related servers using custom metadata within your environment?
Antwort: C
Begründung:
Server Tagging in AppDynamics allows a Performance Analyst to compare and filter related servers by using custom metadata. This feature enables users to group and organize their servers based on criteria that make sense for their environment, such as role, location, environment type, or any other custom metadata.
References:
AppDynamics documentation on Server Tagging: https://docs.appdynamics.com/latest/en/infrastructure- visibility/infrastructure-visibility-settings/server-tags
49. Frage
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