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Cisco 500-420, also known as the Cisco AppDynamics Associate Performance Analyst certification exam, is designed to test the skills and knowledge of professionals who want to demonstrate their understanding of application performance management (APM) and analytics using Cisco AppDynamics. 500-420 Exam is designed to assess candidates' ability to leverage the Cisco AppDynamics platform to monitor, troubleshoot, and optimize application performance in complex environments.
Cisco AppDynamics Associate Performance Analyst certification is a valuable credential for professionals who want to demonstrate their expertise in APM and analytics using Cisco AppDynamics. Certified professionals are recognized for their ability to use Cisco AppDynamics to monitor, troubleshoot, and optimize application performance in complex environments, which can lead to career advancement opportunities and higher salaries.
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Cisco 500-420 exam is designed for individuals who are looking to begin their career in performance analytics. 500-420 exam is also known as the Cisco AppDynamics Associate Performance Analyst certification exam. Cisco AppDynamics Associate Performance Analyst certification is ideal for those who want to learn about monitoring, testing, and analytics. 500-420 Exam is intended for professionals who are involved in performance analysis and monitoring, including application developers, support engineers, technical consultants, and IT managers.
NEW QUESTION # 35
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,C
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 # 36
Which two views can a Controller-level custom dashboard provide? (Choose two.)
Answer: A,C
Explanation:
Controller-level custom dashboards in AppDynamics have the flexibility to provide views that aggregate and compare data from different applications on the same Controller, as well as offer a customized view of applications, servers, and database performance data. This capability enables a holistic view of the IT environment, facilitating cross-application insights and the ability to correlate performance across different layers of the technology stack. Such dashboards are invaluable for understanding overarching trends, pinpointing systemic issues, and driving informed decision-making across multiple applications and infrastructure components.
References:
AppDynamics documentation on Custom Dashboards: Provides detailed instructions on creating and customizing dashboards at the Controller level, including the aggregation and comparison of data from various sources.
AppDynamics documentation on Controller UI: Explains the functionalities available within the Controller UI, including the creation of comprehensive dashboards that encompass application, server, and database metrics.
NEW QUESTION # 37
An online order portal for a restaurant has a "menu" transaction with different request types that must be monitored as separate transactions, such as "menu.salads" and "menu.entree." A Performance Analyst wants to create one rule that separates the transactions instead of creating an individual rule for each request type.
Which option should be enabled on a Custom Match rule?
Answer: A
Explanation:
The Performance Analyst should enable Split Transaction using request data. This capability allows a single Custom Match rule to dynamically divide one base transaction into multiple business transactions according to values contained in the incoming HTTP request. For example, the rule can identify the base transaction as menu and append a request-derived value such as salads or entree, producing distinct transactions named menu.salads and menu.entree.
This approach avoids maintaining separate match rules for every menu category and scales automatically as additional request values are introduced.
An HTTP Request Data Collector captures request attributes for visibility within transaction snapshots but does not itself split or rename business transactions. A Method Invocation Data Collector captures method parameters, return values, or invoked-object data and is also unrelated to transaction splitting. Split Transaction using JSON is appropriate only when the required discriminator must specifically be extracted from a JSON payload.
Relevant CAAPA topics include Business Transaction Detection, Custom Match Rules, Transaction Naming, Request-Based Splitting, and Data Collectors.
NEW QUESTION # 38
Which health rule violation event will be triggered when a Performance Analyst modifies an existing health rule that is already in critical violation?
Answer: C
Explanation:
When an existing health rule is modified while it has an active critical violation, AppDynamics generates a Health Rule Violation Canceled - Critical event. Editing the health rule changes the definition under which the current violation was originally evaluated. The Controller therefore cancels the active violation rather than continuing to evaluate it against a configuration that no longer matches its originating criteria.
A Continues - Critical event is generated when the same active violation remains in the critical state during subsequent evaluation and update intervals without a configuration change. A Started - Critical event indicates that a new critical violation has opened. An Ended - Critical event occurs when the monitored condition returns to an acceptable state according to the unchanged health-rule criteria.
After the rule is modified, AppDynamics evaluates the revised conditions as a new monitoring definition. If those revised criteria are subsequently breached, a new violation-start event can be generated.
Relevant CAAPA Study Guide topics include Health Rule Violation Lifecycle, Critical and Warning Events, Rule Modification Behavior, Violation Cancellation, Evaluation Criteria, and Policy Event Triggers.
NEW QUESTION # 39
Within the configuration setting for Slow Transactions, under the "Configure Diagnostic Session Duration and Collection Rate" option, what is the default value pair for the setting "Collect up to ____snapshots per minute for _____ minutes"?
Answer: A
Explanation:
The default value pair for the setting "Collect up to ____ snapshots per minute for _____ minutes" in the configuration for Slow Transactions is 10, 10. This means that by default, the system is set to collect up to 10 snapshots per minute for a duration of 10 minutes during a diagnostic session.
References:
AppDynamics documentation on Transaction Snapshots: Outlines the default settings for diagnostic session duration and collection rates, including the collection of snapshots.
NEW QUESTION # 40
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