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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Agents and Application Performance | 20% | - Verify agent functionality, performance, and connectivity - Monitor performance trends - Configure alerts and identify system performance metrics - Troubleshoot performance problems - Determine application performance impact and scheduled reports |
| Topic 2: Business Transactions | 20% | - Create and configure business transaction settings - Manage discovery and analyze transaction metrics - Determine transaction scope and rule assignment |
| Topic 3: Troubleshooting | 15% | - Identify slow performance and errors from backend systems - Utilize dashboards to identify performance issues - Capture snapshots and troubleshoot health rule violations |
| Topic 4: Health Rules, Dashboards, and Snapshots | 20% | - Create and interpret dashboards - Create and configure health rules - Locate and analyze snapshots |
| Topic 5: Collectors, Information Points, and Service Endpoints | 25% | - Analyze service endpoint metrics - Configure information points and service endpoints - Define and configure data collectors |
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NEW QUESTION # 96
By default, how often do the violations displayed on the Health Rules Violations page update?
Answer: B
Explanation:
By default, an active health rule violation displayed on the Health Rules Violations page is updated at 30- minute intervals after the initial violation event is triggered. AppDynamics first evaluates the health-rule condition against the configured critical or warning criteria. When the condition remains true for the configured evaluation and wait period, the Controller opens a health rule violation event.
While that violation remains active, AppDynamics periodically updates its displayed status and associated event information. The default continuation-update interval is 30 minutes. The violation is subsequently closed when the monitored metric no longer satisfies the violation criteria for the required duration.
The wait time after violation determines how long a condition must persist before AppDynamics opens the violation; it does not define the ongoing update frequency. The page is also not limited to updating only when a new violation starts, nor must an existing violation close before updated information can be recorded.
Relevant CAAPA Study Guide topics include Health Rule Evaluation, Warning and Critical Conditions, Wait Time After Violation, Health Rule Violation Events, Violation Lifecycle, and Controller Event Updates.
NEW QUESTION # 97
What are two differences between creating a Transaction Group using the 'Create Group' action and defining a Transaction Detection rule? (Choose two.)
Answer: B,C
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 # 98
An E-commerce application is built using microservices architecture design with several components. In AppDynamics, how should the Transaction Detection rules be grouped logically?
Answer: C
Explanation:
For an e-commerce application built using a microservices architecture, logically grouping Transaction Detection rules can be effectively achieved through "Use Transaction Group." This approach allows for the organization of business transactions into meaningful groups that reflect the application's structure and the interactionsbetween its microservices. By grouping transactions, it becomes easier to monitor, analyze, and troubleshoot the application as a whole and its individual components, enhancing the visibility and management of the application's performance.
References:
AppDynamics documentation on Business Transactions: Provides insights on how to configure and manage business transactions, including grouping and monitoring strategies.
AppDynamics documentation on Microservices Monitoring: Offers guidance on best practices for monitoring applications designed with microservices architecture, including transaction grouping.
NEW QUESTION # 99
Which type of Data Collector will capture code data such as method arguments, variables, and return values?
Answer: C
Explanation:
The " Method Invocation Data Collector " is specifically designed to capture code-level data such as method arguments, variables, and return values. This type of data collector enables deep visibility into the execution of methods within transactions, providing valuable insights into the application ' s behavior and performance.
This detailed level of monitoring is essential for diagnosing complex issues and understanding the inner workings of business transactions.
References:
AppDynamics documentation on Data Collectors: Details the types of data collectors available, including Method Invocation Data Collectors, and how they can be used to capture detailed code-level data.
NEW QUESTION # 100
What are two options tor sharing snapshot details from the snapshot window? (Choose two.)
Answer: D,E
Explanation:
To share snapshot details from the snapshot window in AppDynamics, the options to "Download PDF" and
"Export" are typically used. "Download PDF" allows users to generate a PDF report of the snapshot details, providing a convenient and portable format for sharing and review. The "Export" option enables the extraction of snapshot data in various formats (e.g., CSV, XML), facilitating further analysis or sharing with other tools and stakeholders.
References:
AppDynamics documentation on Snapshots: This section covers how snapshots capture detailed performance data for transactions, including how to share and export this information for collaborative analysis.
NEW QUESTION # 101
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