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| Section | Objectives |
|---|---|
| Topic 1: Diagnostics and Troubleshooting | - Performance bottleneck identification
|
| Topic 2: Monitoring and Instrumentation | - Infrastructure monitoring
|
| Topic 3: Alerting and Business Performance | - Alert configuration
|
| Topic 4: AppDynamics Fundamentals | - APM concepts and terminology
|
| Topic 5: Dashboards and Reporting | - Performance dashboards
|
| Topic 6: AppDynamics Architecture | - Controller and agents
|
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NEW QUESTION # 57
When a manual diagnostic session is triggered, what snapshots are captured?
Answer: A
Explanation:
A manual diagnostic session causes AppDynamics to collect detailed transaction snapshots for the selected Business Transaction during the active diagnostic period. When an instance of that Business Transaction crosses multiple instrumented tiers or nodes, the snapshot collection context is propagated with the transaction. Consequently, AppDynamics captures the participating transaction segments from all nodes through which the Business Transaction passes, producing an end-to-end distributed snapshot.
The capture is not restricted to transactions classified as slow, very slow, or errors. Those classifications are commonly used by automatic diagnostic-session and snapshot-triggering mechanisms, whereas a manual session is deliberately initiated to gather deeper diagnostic evidence, including transactions that might otherwise be considered normal.
Option D is incomplete because the triggering node initiates snapshot collection, but the resulting distributed snapshot can include downstream nodes that participate in the transaction. Options A and C incorrectly limit collection to performance-policy violations and error conditions.
Relevant CAAPA Study Guide topics include Transaction Snapshots, Manual Diagnostic Sessions, Distributed Transaction Correlation, Call Graph Collection, Business Transaction Health, and Cross-Tier Transaction Tracing.
NEW QUESTION # 58
Which three things should a Performance Analyst verify to validate a Java Agent's configuration? (Choose three.)
Answer: B,C,E
Explanation:
To validate a Java Agent configuration, the Performance Analyst should inspect the startup script, controller- info.xml, and relevant environment variables.
The startup script must contain the correct -javaagent argument pointing to the Java Agent JAR. It may also define Java system properties for the Controller host, port, SSL setting, application name, tier name, node name, account credentials, and other agent parameters. Incorrect paths or conflicting -Dappdynamics.* values can prevent registration or cause the agent to report under the wrong entity.
The controller-info.xml file is the Java Agent's primary configuration file. The analyst should verify Controller connectivity settings, account details, access key, application identity, tier identity, node identity, and SSL configuration.
Environment variables must also be reviewed because containerized and automated deployments commonly provide AppDynamics settings through variables. These values may override or supplement file-based configuration and can explain unexpected registration behavior.
/etc/sysctl.conf contains operating-system kernel parameters and is not a Java Agent configuration source.
controller-info.yaml is not the standard Java Agent configuration file.
Relevant CAAPA topics include Java Agent Installation, Agent Registration, Controller Connectivity, controller-info.xml, Java System Properties, Environment Variables, and Application-Tier-Node Naming.
NEW QUESTION # 59
Within the Application Dashboard, which two methods could a Performance Analyst use to quickly demonstrate that a slow backend is contributing to an application slowdown? (Choose two.)
Answer: A,B
Explanation:
The Application Flow - Grid View and Application Flow Map provide the fastest dashboard-level methods for demonstrating that a backend dependency is contributing to degraded application performance.
In Grid View, the analyst can locate the backend and review dependency-specific indicators such as average response time, calls per minute, errors, and calls made by upstream tiers. Comparing these values across relevant time ranges makes it straightforward to show that backend latency rose at the same time as application response time.
The Application Flow Map provides the same dependency context visually. Selecting the backend exposes its performance metrics and relationship to the calling tier, allowing the analyst to compare current behavior with an earlier timeframe or baseline and demonstrate the backend's contribution to end-to-end latency.
Top Business Transactions focuses primarily on transaction-level performance rather than direct backend comparison. Transaction Snapshots provide detailed evidence for individual executions, but they are less suitable for a rapid dashboard-level comparison across timeframes.
Relevant CAAPA topics include Application Dashboard, Flow Map Analysis, Grid View, Backend Performance, Dependency Response Time, and Time-Range Comparison.
NEW QUESTION # 60
Which view allows a Performance Analyst to visualize a single aggregated value representing all of a server's CPU, memory, disk, and network I/O utilization?
Answer: D
Explanation:
The Tiers and Nodes - Health tab provides a consolidated health representation for the selected server or node. It summarizes underlying infrastructure-resource behavior into a single health-oriented value or status, incorporating indicators associated with processor utilization, memory consumption, disk activity, and network I/O. This enables the Performance Analyst to identify an unhealthy or resource-constrained node quickly without first examining each hardware metric independently.
The Hardware tab is used for deeper analysis of the individual resource categories. It presents separate CPU, memory, disk, and network measurements, allowing the analyst to determine which specific resource is responsible after the Health view indicates degradation.
The Application Dashboard focuses on overall application behavior, Business Transactions, tiers, backends, and application flow rather than providing one aggregated server-resource value. The Metric Browser offers detailed time-series access to individual infrastructure metrics, but it requires manual navigation and comparison rather than presenting the consolidated server-health visualization.
Relevant CAAPA Study Guide topics include Tiers and Nodes Dashboard, Node Health, Server Resource Monitoring, Hardware Metrics, CPU and Memory Utilization, Disk and Network I/O, and Infrastructure-to- Application Correlation.
NEW QUESTION # 61
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 # 62
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