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| Section | Weight | Objectives |
|---|---|---|
| Agents and Application Performance | 20% | - Verify agent functionality, performance, and connectivity - Troubleshoot performance problems - Determine application performance impact and scheduled reports - Configure alerts and identify system performance metrics - Monitor performance trends |
| Business Transactions | 20% | - Manage discovery and analyze transaction metrics - Create and configure business transaction settings - Determine transaction scope and rule assignment |
| Troubleshooting | 15% | - Utilize dashboards to identify performance issues - Capture snapshots and troubleshoot health rule violations - Identify slow performance and errors from backend systems |
| Health Rules, Dashboards, and Snapshots | 20% | - Locate and analyze snapshots - Create and interpret dashboards - Create and configure health rules |
| Collectors, Information Points, and Service Endpoints | 25% | - Define and configure data collectors - Analyze service endpoint metrics - Configure information points and service endpoints |
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NEW QUESTION # 72
Developers and operations personnel complain the Controller tracks many irrelevant Java classes and methods.
How does a Performance Analyst exclude this unhelpful information?
Answer: D
Explanation:
To streamline the monitoring process and enhance the relevance of collected data, AppDynamics allows Performance Analysts to exclude certain Java classes and methods from instrumentation. This is done through the "Configuration > Instrumentation > Call Graph Settings" menu, where irrelevant packages and classes can be specified for exclusion. This approach prevents the AppDynamics agent from tracking unnecessary or irrelevant methods, thus reducing overhead and focusing on the most critical aspects of application performance.
References:
AppDynamics documentation on Call Graph Settings: This section details how to configure call graph settings, including the exclusion of specific classes and methods from instrumentation, to optimize performance monitoring.
NEW QUESTION # 73
Developers and operations personnel complain that the Controller tracks many irrelevant Java classes and methods. How does a Performance Analyst exclude this unhelpful information?
Answer: D
Explanation:
The Performance Analyst should navigate to Configuration > Instrumentation > Call Graph Settings and configure package exclusions. Call Graph Settings control which Java packages, classes, and methods the Application Agent includes when constructing call graphs for transaction snapshots.
Excluding irrelevant package prefixes removes low-value framework, utility, generated-code, or third-party method detail from captured call graphs. This reduces diagnostic noise, makes transaction snapshots easier for developers to interpret, and can lower instrumentation and data-collection overhead. Exclusions should be applied carefully so that application-owned packages and methods required for root-cause analysis remain visible.
The controller-info.xml file contains Java Agent registration and Controller connectivity settings, such as the Controller address, account information, application, tier, and node identity. It is not the appropriate location for call-graph package exclusions. Baselines evaluate normal metric behavior and have no effect on instrumented classes or methods. The mbeans-server.xml file concerns JMX or MBean-related monitoring rather than Java call-graph filtering.
Relevant CAAPA Study Guide topics include Instrumentation Configuration, Call Graph Settings, Package Exclusions, Java Agent Overhead Management, Transaction Snapshots, and Code-Level Visibility.
NEW QUESTION # 74
On a snapshot flow map, which three metrics indicate why the snapshot might have been taken? (Choose three.)
Answer: A,B,D
Explanation:
A snapshot flow map presents execution-specific timing information that helps explain why AppDynamics captured that particular transaction instance. The relevant metrics are Thread Blocking Time, Execution Time, and Asynchronous Activity Processing Time.
Execution Time shows the elapsed processing time for the transaction segment and helps determine whether the request exceeded slow or very slow transaction thresholds. Thread Blocking Time identifies time during which the executing thread was blocked or waiting, potentially because of lock contention, synchronization, resource availability, or another thread-related delay. A substantial blocking value can explain why an otherwise ordinary code path produced a slow snapshot.
Asynchronous Activity Processing Time represents time consumed by asynchronous work associated with the transaction, such as executor tasks, callbacks, or background processing correlated with the originating request. Excessive asynchronous processing can materially increase end-to-end completion time and trigger snapshot collection.
Tier Response Time and Node Response Time are aggregated performance metrics across multiple transactions. They provide useful operational context but do not directly describe the timing characteristics of one captured transaction execution.
Relevant CAAPA Study Guide topics include Transaction Snapshots, Snapshot Flow Maps, Execution Time, Thread Blocking, Asynchronous Transaction Tracking, and Slow Transaction Diagnostics.
NEW QUESTION # 75
When a manual diagnostic session is triggered, what snapshots are captured?
Answer: C
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 # 76
Which option, in addition to "minutes since creation", would a Performance Analyst use while configuring Automatic Cleanup of stale Business Transactions?
Answer: D
Explanation:
When configuring Automatic Cleanup of stale Business Transactions, the "minutes since creation" option is often paired with the "Number of Calls" metric. This setting ensures that business transactions that have not been called within a certain timeframe and have had a negligible number of calls are automatically cleaned up, helping to maintain an organized and relevant set of business transactions in the monitoring system.
References:
AppDynamics documentation on Business Transactions: Discusses best practices for managing business transactions, including the automatic cleanup based on time and call volume thresholds.
NEW QUESTION # 77
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