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| Section | Objectives |
|---|---|
| Alerting and Business Performance | - Alert configuration
|
| Diagnostics and Troubleshooting | - Root cause analysis
|
| AppDynamics Fundamentals | - APM concepts and terminology
|
| Dashboards and Reporting | - Performance dashboards
|
| Monitoring and Instrumentation | - Application instrumentation
|
| AppDynamics Architecture | - Controller and agents
|
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NEW QUESTION # 65
What are two differences between creating a Transaction Group using the 'Create Group' action and defining a Transaction Detection rule? (Choose two.)
Answer: A,D
Explanation:
Creating a Transaction Group using the 'Create Group' action in AppDynamics allows for the aggregation of data from multiple transactions under a single group, facilitating a consolidated view of similar transactions.
This differs from defining a Transaction Detection Rule, which typically focuses on identifying and categorizing individual transactions based on specific criteria. Transaction Groups do not change the names of incoming requests nor reduce the number of overall business transactions; instead, they provide a method for organizing and analyzing related transactions collectively, offering a streamlined approach compared to individually configuring Transaction Detection Rules for each transaction.
References:
AppDynamics documentation on Business Transactions: Covers the concept of Transaction Groups and their role in organizing and analyzing transaction data, as well as the process for creating and managing Transaction Detection Rules.
NEW QUESTION # 66
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: B
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 # 67
Which two Key Performance Indicators (KPIs) accurately provide insight into server level resource consumption? (Choose two.)
Answer: A,B
Explanation:
Key Performance Indicators (KPIs) such as "CPU %Busy" and "Memory Used%" are critical for providing insights into server-level resource consumption. "CPU %Busy" indicates the percentage of time the CPU is actively working on processes, reflecting the server's processing workload. "Memory Used%" shows the proportion of memory utilized, indicating how much of the server's RAM is being consumed by applications and processes. These KPIs are essential for understanding and managing server performance and resource allocation.
References:
AppDynamics documentation on Server Monitoring: Includes information on monitoring server-level metrics, including CPU and memory utilization, to assess resource consumption.
NEW QUESTION # 68
What does the Live Preview option in a Business Transaction Discovery Session allow a user to do?
Answer: C
Explanation:
The Live Preview option allows a Performance Analyst to stream entry points detected in the application while a Business Transaction Discovery Session is active. As representative traffic executes, the Application Agent reports candidate entry points in near real time, helping the analyst identify application activity that automatic Business Transaction detection may not already recognize.
This capability is especially useful for proprietary frameworks, background processes, scheduled jobs, and other nonstandard execution paths. The analyst can observe the entry-point activity, determine which class and method represent the start of a meaningful transaction, and then use that information to configure an appropriate Custom Match Rule.
Live Preview does not provide streaming application or agent logs. Searching and browsing classes and methods is a related Discovery Session capability, but it is distinct from the Live Preview function. Likewise, rule validation can be performed after defining detection criteria, but the primary purpose of Live Preview is to expose active entry points as they occur.
Relevant CAAPA Study Guide topics include Business Transaction Discovery Sessions, Live Preview, Entry- Point Detection, Class and Method Browsing, Custom Match Rules, and Nonstandard Framework Instrumentation.
NEW QUESTION # 69
A Performance Analyst notices an increase in Business Transaction error rate that is much higher than normal alerts. The Performance Analyst can see these are related to the Health Rules defined for the Shopping Service that is monitored with AppDynamics Browser RUM. While troubleshooting the Performance Analyst wants details on which Browsers and Devices are affected. Which section of the Browser App Dashboard will provide this detail for a given time period?
Answer: B
Explanation:
In the Browser Real User Monitoring (RUM) Dashboard, the Usage Stats section provides insights into user demographics, including the types of browsers and devices they are using. This section would help the Performance Analyst understand which browsers and devices are affected during a specific time period when there has been an increase in the Business Transaction error rate.
References:
AppDynamics documentation on Browser RUM:
https://docs.appdynamics.com/21.6/en/end-user-monitoring/browser-monitoring/browser-real-user-monito
NEW QUESTION # 70
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