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| Section | Objectives |
|---|---|
| Topic 1: AppDynamics Fundamentals | - APM concepts and terminology
|
| Topic 2: Alerting and Business Performance | - Business transaction performance
|
| Topic 3: Monitoring and Instrumentation | - Application instrumentation
|
| Topic 4: Diagnostics and Troubleshooting | - Performance bottleneck identification
|
| Topic 5: Dashboards and Reporting | - Performance dashboards
|
| Topic 6: AppDynamics Architecture | - Controller and agents
|
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NEW QUESTION # 62
A team of developers deploys new Java servlet code that should create new business transactions in AppDynamics. After applying load on the new code function, there are no new Business Transactions on the Business Transaction Dashboard. Which two options should the developers check in AppDynamics to make sure the Business Transactions can be discovered?
[Choose two.)
Answer: B,D
Explanation:
When new business transactions are not appearing on the Business Transaction Dashboard after deploying new code, developers should verify that there are no exclusion rules in place on the tier where the new code was deployed. Additionally, it is crucial to ensure that the Auto Discovery feature for servlets is enabled for Java agents, as this allows AppDynamics to automatically detect and name business transactions based on incoming requests to servlets. Both of these checks are necessary to ensure that new business transactions can be discovered and monitored.
References: AppDynamics documentation on Business Transaction detection and Java Agent configuration.
NEW QUESTION # 63
A Performance Analyst has noticed a significant decrease in an application ' s workload, measured in calls per minute, and is trying to identify the root cause. Which option will give the Performance Analyst insight into the behavior of the affected Business Transactions?
Answer: D
Explanation:
The Performance Analyst should open the Business Transactions view and enable Show Trends. This presents historical behavior for individual Business Transactions, making it possible to identify which transactions experienced a decline in calls per minute and when the change began. The analyst can compare workload patterns across transactions and correlate the decrease with changes in response time, errors, transaction activity, or application usage.
The Top Business Transactions by Load widget emphasizes the highest-volume transactions for the selected period, but it may not clearly expose transactions whose volume has sharply declined. Plotting application- level Calls/min in the Metric Browser confirms that total workload decreased but does not immediately identify the affected Business Transactions. The Application Flow Map focuses on tier and dependency relationships, while Transaction Score summarizes transaction performance classifications rather than workload trends.
The Show Trends capability is therefore the most direct method for examining historical transaction behavior and isolating the Business Transactions responsible for the workload change.
Relevant CAAPA Study Guide topics include Business Transaction Monitoring, Show Trends, Calls per Minute, Workload Analysis, Historical Comparison, and Application Performance Troubleshooting.
NEW QUESTION # 64
An AppDynamics deployment has Business Transaction Lock Down turned on. The company has just added an important service to its application and wants to track this service as a unique Business Transaction. What action is needed to achieve this?
Answer: C
Explanation:
With Business Transaction Lock Down enabled, AppDynamics prevents automatically discovered traffic from registering additional Business Transactions. Newly observed requests that do not match an existing registered transaction are generally aggregated under the tier's All Other Traffic transaction, protecting the Controller from uncontrolled Business Transaction growth.
To monitor the new web service as an explicitly named, unique Business Transaction, the Performance Analyst should create a Custom Transaction Match Rule. The rule can identify the service by its Web Service Name and Operation Name, providing deterministic matching and naming independently of automatic transaction discovery. Custom rules are the appropriate mechanism for intentionally introducing important transactions while maintaining lockdown governance.
Changing the automatic discovery rule does not overcome the purpose of lockdown because new automatically discovered transactions remain restricted. Live Preview assists with validating detection-rule behavior but is not the persistent configuration that defines the transaction. All Other Traffic provides aggregated visibility into unregistered traffic; it does not replace a precise custom detection rule.
Relevant CAAPA Study Guide topics include Business Transaction Lock Down, Custom Match Rules, Web- Service Entry Points, Transaction Naming, Automatic Discovery, and All Other Traffic.
NEW QUESTION # 65
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: D
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 # 66
A Performance Analyst needs to define a set of Key Performance Indicators (KPIs) from a group of select metrics. The required performance information resides within the Transaction Analytics data set. Which method will accomplish this task?
Answer: A
Explanation:
The Metric Explorer in AppDynamics allows Performance Analysts to define and visualize Key Performance Indicators (KPIs) from a selection of metrics. By accessing the Transaction Analytics data set, analysts can create custom dashboards that focus on the metrics they've determined to be critical KPIs for their application's performance.
References:
AppDynamics documentation on Metric Explorer:
NEW QUESTION # 67
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