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| Certification Vendor: | Cisco |
|---|---|
| Exam Name: | Cisco AppDynamics Associate Performance Analyst (CAAPA) |
| Exam Number: | 500-420 |
| Exam Duration: | 90 minutes |
| Exam Format: | Drag-and-drop, Multiple-choice, Scenario-based |
| Real Exam Qty: | 55-65 |
| Passing Score: | 70-80% |
| Certificate Validity Period: | 3 years |
| Exam Price: | USD 300 |
| Available Languages: | Japanese, English |
| Recommended Training: | Cisco AppDynamics Associate Training AppDynamics Official Learning Resources |
| Exam Registration: | Pearson VUE Cisco Exam Registration |
| Sample Questions: | Cisco 500-420 Sample Questions |
| Exam Way: | Online proctored or onsite at authorized testing centers |
| Pre Condition: | No formal prerequisites; recommended 3-6 months of hands-on experience with AppDynamics |
| Official Syllabus URL: | https://www.cisco.com/site/us/en/learn/training-certifications/exams/caapa.html |
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Cisco 500-420 Exam is a vendor-neutral certification that is recognized by IT organizations worldwide. It is designed for IT professionals who want to enhance their skills and knowledge in AppDynamics technology and demonstrate their expertise to employers and clients. Cisco AppDynamics Associate Performance Analyst certification is also suitable for professionals who want to advance their career in the IT industry and increase their earning potential.
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.
NEW QUESTION # 37
Which statement is correct regarding controller-level and tier/node-level dashboards?
Answer: B
Explanation:
Controller-level and tier/node-level dashboards in AppDynamics are treated as separate entities. They are scoped differently, with controller-level dashboards providing a global view across the entire AppDynamics domain, and tier/node-level dashboards being specific to particular tiers or nodes within an application.
Performance Analysts do not have the ability to cross-reference directly between these two sets of dashboards within the AppDynamics UI.
References:
AppDynamics documentation on Dashboards: https://docs.appdynamics.com/latest/en/application-monitoring
/custom-dashboards
NEW QUESTION # 38
When a manual diagnostic session is triggered, what snapshots are captured?
Answer: A
Explanation:
A manual diagnostic session causes AppDynamics to collect detailed transaction snapshots for the selected Business Transaction during the active diagnostic period. When an instance of that Business Transaction crosses multiple instrumented tiers or nodes, the snapshot collection context is propagated with the transaction. Consequently, AppDynamics captures the participating transaction segments from all nodes through which the Business Transaction passes, producing an end-to-end distributed snapshot.
The capture is not restricted to transactions classified as slow, very slow, or errors. Those classifications are commonly used by automatic diagnostic-session and snapshot-triggering mechanisms, whereas a manual session is deliberately initiated to gather deeper diagnostic evidence, including transactions that might otherwise be considered normal.
Option D is incomplete because the triggering node initiates snapshot collection, but the resulting distributed snapshot can include downstream nodes that participate in the transaction. Options A and C incorrectly limit collection to performance-policy violations and error conditions.
Relevant CAAPA Study Guide topics include Transaction Snapshots, Manual Diagnostic Sessions, Distributed Transaction Correlation, Call Graph Collection, Business Transaction Health, and Cross-Tier Transaction Tracing.
NEW QUESTION # 39
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: B
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 # 40
What must a Performance Analyst first configure in order to monitor end-to-end latency performance metrics in AppDynamics?
Answer: A
Explanation:
To monitor end-to-end latency performance metrics, a Performance Analyst must first define the end-to-end latency transaction. This involves configuring the business transactions to include the necessary entry and exit points that capture the complete flow of the transaction, thereby enabling the measurement of the total latency.
References:
AppDynamics documentation on Business Transactions:
https://docs.appdynamics.com/latest/en/application-monitoring/business-transactions
NEW QUESTION # 41
What is a reason for creating an Information Point?
Answer: C
Explanation:
An Information Point is created to gather application-specific business and performance metrics from a selected class and method. It enables AppDynamics to monitor code that represents a meaningful business activity even when that method is not a Business Transaction entry point. Typical examples include tracking order value, number of items processed, cache access frequency, payment amounts, or invocations of a critical internal service.
Information Points can report measurements such as calls per minute, average response time, errors per minute, and configured custom numeric values. These metrics can then be displayed in the Metric Browser, compared against baselines, incorporated into dashboards, and evaluated by health rules.
Information Points are not limited to a particular Business Transaction, making option B too restrictive.
Collecting fields specifically for Analytics queries is generally handled through transaction analytics and data collectors. Memory-leak troubleshooting instead uses memory diagnostics, object-instance tracking, heap analysis, and leak-detection capabilities.
Relevant CAAPA Study Guide topics include Information Points, Method-Level Monitoring, Business Metrics, Custom Metrics, Metric Roll-Ups, Dynamic Baselines, Health Rules, and Application Instrumentation.
NEW QUESTION # 42
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