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| Section | Objectives |
|---|---|
| Monitoring and Instrumentation | - Infrastructure monitoring
|
| AppDynamics Architecture | - Controller and agents
|
| Diagnostics and Troubleshooting | - Root cause analysis
|
| Alerting and Business Performance | - Alert configuration
|
| Dashboards and Reporting | - Performance dashboards
|
| AppDynamics Fundamentals | - APM concepts and terminology
|
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NEW QUESTION # 56
Which two health rules are provided out-of-the-box for proactive monitoring? (Choose two.)
Answer: B,C
Explanation:
AppDynamics provides out-of-the-box health rules that proactively identify abnormal Business Transaction response time and Business Transaction error rate.
The response-time health rule evaluates whether a Business Transaction's current average response time has risen significantly above its established baseline. This enables AppDynamics to detect performance degradation relative to normal behavior rather than relying exclusively on a fixed threshold that may not suit every transaction.
The error-rate health rule similarly identifies when the number or percentage of transaction errors is substantially higher than expected. This provides early warning of application failures, exceptions, unsuccessful requests, or downstream dependency problems before they affect a larger portion of users.
Web-container thread utilization, thread stalls, and transaction-rate changes can also be monitored by creating or configuring health rules, but the listed formulations are not the two standard proactive Business Transaction health rules represented here. AppDynamics health rules can generate warning or critical violations and then invoke policies for notifications, diagnostics, remediation, or external-system integration.
Relevant CAAPA Study Guide topics include Default Health Rules, Business Transaction Performance, Dynamic Baselines, Response-Time Monitoring, Error-Rate Monitoring, Health Rule Violations, and Policy Actions.
NEW QUESTION # 57
What are three effects of Development Level Monitoring? (Choose three.)
Answer: C,E,F
Explanation:
Development Level Monitoring is intended for controlled development or diagnostic environments where maximum transaction visibility is more important than minimizing agent overhead. In this mode, the agent captures full call graphs, providing method-level execution detail rather than the reduced or partial call-graph collection associated with normal production monitoring.
The agent also attempts to collect a transaction snapshot for every transaction. "Attempts" is the critical distinction: snapshot creation remains subject to agent safeguards, resource constraints, transaction behavior, and collection limits. Therefore, Development Level Monitoring does not provide an absolute guarantee that every transaction will produce a retained snapshot, making option F incorrect.
Development mode additionally collects more detailed exit-call information for calls to backend systems, improving analysis of downstream databases, services, and other remote dependencies.
The agent does not ignore dev-mode-suspend-cpm. This property is a protective calls-per-minute threshold that can suspend development-mode collection when transaction volume becomes excessive. Relevant CAAPA Study Guide topics include Agent Configuration, Monitoring Levels, Transaction Snapshots, Call Graph Collection, Exit Calls, and Development-Mode Performance Safeguards.
NEW QUESTION # 58
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: A
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 # 59
Which statement about Service End Points and Business Transactions is true?
Answer: A
Explanation:
Both Service Endpoints and Business Transactions in AppDynamics have the capability to configure data collectors. Data collectors are used to gather detailed information about transactions or endpoints, such as method parameters, return values, and SQL statements.
References:
AppDynamics documentation on Data Collectors: https://docs.appdynamics.com/latest/en/application- monitoring/configure-data-collection
NEW QUESTION # 60
What is the purpose of a transaction snapshot?
Answer: A
Explanation:
A transaction snapshot in AppDynamics is a detailed report of a single execution of a business transaction. Its primary purpose is to analyze issues with a specific business transaction by providing a comprehensive view of the transaction's execution path, including timing, call graphs, and database queries. This allows performance analystsand developers to drill down into individual transactions to diagnose performance bottlenecks, errors, or anomalies.
References:
AppDynamics documentation on Transaction Snapshots: Offers detailed guidance on how to capture and analyze transaction snapshots to troubleshoot and optimize application performance.
NEW QUESTION # 61
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