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| Certification Vendor: | Cisco |
|---|---|
| Exam Name: | Cisco AppDynamics Associate Performance Analyst |
| Exam Number: | 500-420 CAAPA |
| Related Certifications: | Cisco AppDynamics Associate Administrator (500-425) Cisco AppDynamics Professional Implementer (500-430) |
| Exam Format: | Multiple Choice |
| Exam Price: | $300 USD |
| Available Languages: | Japanese, English |
| Exam Duration: | 90 minutes |
| Sample Questions: | Cisco 500-420 Sample Questions |
| Exam Way: | Online Proctored or In-Person at Testing Centers |
| Official Syllabus URL: | https://www.cisco.com/site/us/en/learn/training-certifications/certifications/appdynamics/associate-performance-analyst/exams-and-training.html |
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Cisco 500-420 Certification Exam is designed for professionals who are interested in validating their skills and knowledge in the area of application performance management. 500-420 exam is designed to test the candidate's ability to identify and troubleshoot performance issues, configure and deploy AppDynamics solutions, and analyze data to optimize application performance. Cisco AppDynamics Associate Performance Analyst certification is ideal for professionals who work with AppDynamics solutions or who are interested in pursuing a career in application performance management.
NEW QUESTION # 120
Which two Key Performance Indicators (KPIs) accurately provide insight into server level resource consumption? (Choose two.)
Answer: A,E
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 # 121
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: B
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 # 122
Which view presents a calculated percentage of the slow, very slow, and stalled Business Transactions?
Answer: B
Explanation:
The Transaction Score view presents the calculated percentage of Business Transaction executions classified by performance category, including normal, slow, very slow, stalled, and error transactions. AppDynamics determines these classifications by comparing each transaction's response time with the configured slow and very slow thresholds, which may be based on dynamic baselines or static threshold values.
The resulting Transaction Score provides a concise, application-level indication of user-impacting performance. A rising percentage of slow, very slow, or stalled transactions quickly shows that a greater portion of the workload is experiencing degradation, even when overall average response time appears acceptable.
The Slow Responses troubleshooting view is used to investigate individual slow transaction instances and snapshots rather than calculate the overall percentage distribution. The Business Transactions view lists transaction-level metrics and trends but does not provide the same summarized scoring visualization. The Metric Browser displays raw and aggregated metrics but requires manual selection and interpretation.
Relevant CAAPA Study Guide topics include Transaction Score, Business Transaction Performance Classification, Slow and Very Slow Thresholds, Stalled Transactions, Dynamic Baselines, Transaction Snapshots, and Application Health Analysis.
NEW QUESTION # 123
Periodic Snapshot thresholds can be configured at which two levels? (Choose two.)
Answer: B,C
Explanation:
Periodic Transaction Snapshot thresholds can be configured at the Application level and overridden for an individual Business Transaction.
The application-level configuration establishes the default periodic snapshot behavior for all Business Transactions within the monitored application. This provides a consistent collection policy, including how frequently normal transaction snapshots are captured for ongoing diagnostic visibility.
For a particularly important or high-risk Business Transaction, the Performance Analyst can define transaction-specific settings. The individual-transaction configuration overrides the application default, allowing more frequent or specialized snapshot collection for critical operations such as checkout, payment authorization, login, or order submission.
Periodic snapshot thresholds are not configured directly at the node or tier level. Nodes inherit the transaction- monitoring configuration associated with their application and Business Transactions. Service Endpoints generate their own performance metrics, but they do not use the Business Transaction periodic snapshot threshold model independently.
This hierarchy enables broad application-wide governance while still allowing targeted diagnostic depth for selected transactions. Relevant CAAPA Study Guide topics include Transaction Snapshot Collection, Periodic Snapshots, Application-Level Snapshot Configuration, Business Transaction Overrides, Diagnostic Sessions, and Snapshot Collection Thresholds.
NEW QUESTION # 124
A Performance Analyst received an alert that the Average Response Time is increasing after a new marketing offer was released. Which metric would quickly help the Performance Analyst determine that users may not be critically impacted?
Answer: A
Explanation:
If the Average Response Time is increasing after the release of a new marketing offer, seeing an increase in Calls per Minute could quickly help the Performance Analyst determine that users may not be critically impacted. This increase may indicate that despite the higher average response time, more users are engaging with the application, possibly due to interest generated by the marketing offer. It suggests that the system is handling more load, which could be a factor in the increased response time.
References:
AppDynamics documentation on Performance Metrics: Discusses the implications of various key performance indicators, including how an increase in Calls per Minute can be interpreted in the context of application performance.
NEW QUESTION # 125
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