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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Troubleshooting | 15% | - Utilize dashboards to identify performance issues - Identify slow performance and errors from backend systems - Capture snapshots and troubleshoot health rule violations |
| 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: Collectors, Information Points, and Service Endpoints | 25% | - Analyze service endpoint metrics - Configure information points and service endpoints - Define and configure data collectors |
| Topic 4: Agents and Application Performance | 20% | - Determine application performance impact and scheduled reports - Configure alerts and identify system performance metrics - Troubleshoot performance problems - Monitor performance trends - Verify agent functionality, performance, and connectivity |
| Topic 5: Health Rules, Dashboards, and Snapshots | 20% | - Locate and analyze snapshots - Create and interpret dashboards - Create and configure health rules |
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NEW QUESTION # 32 
Refer to the exhibit. The transaction score in the graphic displays an interesting performance pattern outside of business hours on 6/16/18. Which additional performance anomaly should be of most interest to a Performance Analyst?
Answer: D
Explanation:
The performance pattern outside of business hours on 6/16/18 that would be of most interest to a Performance Analyst is the elevated response time, as indicated on 6/19/18. This is because it shows a significant spike in response time, which could indicate a performance issue that needs to be addressed. Anomalies in response time can often be more indicative of underlying problems than changes in call volume, especially when they occur outside of expected peak periods.
References:
AppDynamics documentation on Transaction Score: https://docs.appdynamics.com/latest/en/application- monitoring/application-dashboard/transaction-score
NEW QUESTION # 33
Which item supplements business transaction and transaction analytics data with application data?
Answer: D
NEW QUESTION # 34
A Performance Analyst is experiencing difficulty with the transaction response time on a node. The Performance Analyst attempts to create a health rule monitoring the business transactions' performance on that node. Which set of data should the Performance Analyst select when creating the health rule?
Answer: C
Explanation:
When a Performance Analyst is faced with issues related to transaction response times on a specific node, focusing on the "Transaction performance" data is most relevant. This is because transaction performance metrics provide direct insights into the business transactions' speed, response times, and execution times, which are critical for identifying and troubleshooting performance issues. By selecting "Transaction performance" when creating a health rule, the analyst can monitor specific metrics such as average response time, slow transaction count, and very slow transaction count, which are directly related to the performance of business transactions on the node in question.
References:
AppDynamics documentation on Health Rules: This section explains how to create and configure health rules to monitor application performance metrics, including transaction performance.
AppDynamics documentation on Business Transactions: Provides details on how AppDynamics identifies and monitors business transactions, which are key to understanding application performance.
NEW QUESTION # 35
A client needs to reference a metric from different applications on an AppDynamics dashboard. Which of the following is true?
Answer: C
Explanation:
In AppDynamics, metrics from different applications can indeed be cross-referenced on a single dashboard.
This allows for a more holistic view of an organization's application ecosystem, facilitating the comparison and correlation of performance metrics across different applications within the same AppDynamics controller.
References:
AppDynamics documentation on Custom Dashboards: Details how to create custom dashboards that can include metrics from multiple applications, enabling cross-referencing and comprehensive performance monitoring.
NEW QUESTION # 36
A Performance Analyst is reviewing Business Transactions with an Application team. The Application team would like to increase the Application Business Transaction limit because they need to have visibility into all the different transactions. What should the Performance Analyst do?
Answer: C
Explanation:
When an application team requests an increase in the Application Business Transaction limit for visibility purposes, it's crucial for the Performance Analyst to focus on the transactions that are currently exceeding the limit and understand why. This approach helps in identifying whether the limit is being reached due to genuinely essential transactions or if there are redundant, irrelevant, or improperly defined transactions contributing to the limit breach. By analyzing and rationalizing the transactions, the analyst can ensure that only valuable transactions are monitored, optimizing resource usage and maintaining effective observability without necessarily increasing the limit.
References:
AppDynamics documentation on Business Transaction Limits: Discusses the implications of business transaction limits and strategies for managing and optimizing these limits within AppDynamics.
AppDynamics Best Practices Guide: Offers recommendations for configuring and managing business transactions, including handling limits and ensuring meaningful transaction monitoring.
NEW QUESTION # 37
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