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| Certification Vendor: | Cisco |
|---|---|
| Exam Name: | Cisco AppDynamics Associate Performance Analyst |
| Exam Number: | 500-420 |
| Exam Duration: | 90 minutes |
| Certificate Validity Period: | 3 years |
| Available Languages: | English |
| Exam Format: | Multiple choice, Scenario-based questions |
| Related Certifications: | Cisco AppDynamics Professional Cisco AppDynamics Administrator |
| Recommended Training: | Cisco AppDynamics Training (Official) |
| Exam Registration: | Cisco Certification Registration |
| Sample Questions: | Cisco 500-420 Sample Questions |
| Exam Way: | Online proctored or authorized test center (availability depends on region) |
| Pre Condition: | Basic understanding of application performance monitoring and enterprise application architecture is recommended. |
| Official Syllabus URL: | https://www.cisco.com/c/en/us/training-events/training-certifications/exams.html |
>> 500-420 Real Exam Questions <<
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Cisco 500-420 Exam is an excellent way for IT professionals to demonstrate their expertise in application performance management and analysis. Cisco AppDynamics Associate Performance Analyst certification can help individuals stand out in the job market and advance their careers. By passing the exam, professionals can showcase their knowledge and skills in using AppDynamics to monitor and troubleshoot application performance issues, making them a valuable asset to any organization.
NEW QUESTION # 33
Which three reports can be scheduled for periodic generation and delivery to email recipients? (Choose three.)
Answer: B,D,E
Explanation:
AppDynamics supports scheduled delivery of Application Health, Controller Audit, and Custom Dashboard reports.
An Application Health report summarizes the operational condition of monitored applications over a selected reporting period. It can include health-rule violations, Business Transaction performance, errors, response- time behavior, and application availability, making it suitable for recurring operational reviews.
A Controller Audit report provides a record of administrative and configuration activity performed in the Controller. It is useful for governance, security review, compliance verification, and tracking changes made by users or administrators.
A Custom Dashboard report captures the widgets and visualizations configured on a selected custom dashboard. It can be generated periodically and emailed to stakeholders who need recurring application, infrastructure, or business-performance summaries without manually opening the Controller.
Ad Hoc Data describes manually selected or temporary analysis rather than a standard schedulable report type. Error Trends may appear as a dashboard visualization or metric analysis, but it is not a distinct scheduled-report category. Tier List is an application inventory view rather than a report designed for periodic email delivery.
Relevant CAAPA Study Guide topics include Reports, Report Scheduling, Email Distribution, Application Health Reports, Controller Audit Reports, Custom Dashboards, and Role-Based Reporting.
NEW QUESTION # 34
Refer to the exhibit.
Using this heap-utilization graph, which method is used to confirm whether a memory leak is occurring during a specific timeframe?
Answer: C
Explanation:
The Tiers and Nodes > Memory tab provides the appropriate JVM-level view for confirming suspected heap growth over a selected timeframe. The analyst should compare Heap Utilization (%) with Heap Current Usage (MB) versus Max (MB) and observe the effect of major garbage-collection events.
A potential memory leak is indicated when heap usage rises progressively and fails to return to a stable lower level after garbage collection. The important pattern is not simply high memory utilization, but an increasing post-garbage-collection baseline over time. The exhibit shows current heap usage gradually increasing relative to the maximum heap allocation, which warrants further memory diagnostics.
Hardware-resource memory metrics represent operating-system memory and do not isolate JVM heap behavior. Swap usage can indicate host memory pressure but cannot confirm an application heap leak. JMX metrics may expose heap values, but the dedicated Memory tab provides the quickest correlated visualization for heap utilization, maximum heap, current usage, and garbage collection.
Relevant CAAPA topics include JVM Memory Monitoring, Heap Utilization, Garbage Collection, Tiers and Nodes Memory View, Memory Leak Detection, and Object Instance Tracking.
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,E
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
Within the Application Dashboard, which two methods could a Performance Analyst use to quickly demonstrate that a slow backend is contributing to an application slowdown? (Choose two.)
Answer: C,D
Explanation:
The Application Flow - Grid View and Application Flow Map provide the fastest dashboard-level methods for demonstrating that a backend dependency is contributing to degraded application performance.
In Grid View, the analyst can locate the backend and review dependency-specific indicators such as average response time, calls per minute, errors, and calls made by upstream tiers. Comparing these values across relevant time ranges makes it straightforward to show that backend latency rose at the same time as application response time.
The Application Flow Map provides the same dependency context visually. Selecting the backend exposes its performance metrics and relationship to the calling tier, allowing the analyst to compare current behavior with an earlier timeframe or baseline and demonstrate the backend's contribution to end-to-end latency.
Top Business Transactions focuses primarily on transaction-level performance rather than direct backend comparison. Transaction Snapshots provide detailed evidence for individual executions, but they are less suitable for a rapid dashboard-level comparison across timeframes.
Relevant CAAPA topics include Application Dashboard, Flow Map Analysis, Grid View, Backend Performance, Dependency Response Time, and Time-Range Comparison.
NEW QUESTION # 37 
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: B
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 # 38
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