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| Certification Vendor: | Cisco |
|---|---|
| Exam Name: | Cisco AppDynamics Associate Performance Analyst |
| Exam Number: | 500-420 |
| Related Certifications: | Cisco AppDynamics Professional Cisco AppDynamics Administrator |
| Exam Duration: | 90 minutes |
| Exam Format: | Multiple choice, Scenario-based questions |
| Available Languages: | English |
| Certificate Validity Period: | 3 years |
| 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 |
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Cisco 500-420 exam is a vendor-specific certification that provides the candidates with the knowledge and skills required to analyze applications and infrastructure performance. Cisco AppDynamics Associate Performance Analyst certification is designed to help the candidates to gain an understanding of the fundamental concepts of performance analysis, testing, and monitoring. Cisco AppDynamics Associate Performance Analyst certification focuses on the use of Cisco AppDynamics, which is a leading application performance management solution used by companies worldwide.
Cisco 500-420 exam is a 90-minute test that consists of 60 questions. 500-420 exam is available in English and Japanese languages and can be taken at any Pearson VUE testing center or online. 500-420 Exam is designed to cover a broad range of topics, including application performance management fundamentals, application topology and discovery, business transaction monitoring, application analytics, and AppDynamics deployment and configuration.
Cisco 500-420 exam is a comprehensive test that covers a wide range of topics related to AppDynamics technology. It tests the candidate's understanding of the AppDynamics architecture, the various components of the AppDynamics platform, and how to configure and manage them. It also tests the candidate's knowledge of AppDynamics best practices, troubleshooting techniques, and performance optimization techniques.
NEW QUESTION # 37
Developers and operations personnel complain that the Controller tracks many irrelevant Java classes and methods. How does a Performance Analyst exclude this unhelpful information?
Answer: D
Explanation:
The Performance Analyst should navigate to Configuration > Instrumentation > Call Graph Settings and configure package exclusions. Call Graph Settings control which Java packages, classes, and methods the Application Agent includes when constructing call graphs for transaction snapshots.
Excluding irrelevant package prefixes removes low-value framework, utility, generated-code, or third-party method detail from captured call graphs. This reduces diagnostic noise, makes transaction snapshots easier for developers to interpret, and can lower instrumentation and data-collection overhead. Exclusions should be applied carefully so that application-owned packages and methods required for root-cause analysis remain visible.
The controller-info.xml file contains Java Agent registration and Controller connectivity settings, such as the Controller address, account information, application, tier, and node identity. It is not the appropriate location for call-graph package exclusions. Baselines evaluate normal metric behavior and have no effect on instrumented classes or methods. The mbeans-server.xml file concerns JMX or MBean-related monitoring rather than Java call-graph filtering.
Relevant CAAPA Study Guide topics include Instrumentation Configuration, Call Graph Settings, Package Exclusions, Java Agent Overhead Management, Transaction Snapshots, and Code-Level Visibility.
NEW QUESTION # 38
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: A
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 # 39
Which two health rules are provided out-of-the-box for proactive monitoring? (Choose two.)
Answer: B,C
Explanation:
AppDynamics provides out-of-the-box health rules that proactively identify abnormal Business Transaction response time and Business Transaction error rate.
The response-time health rule evaluates whether a Business Transaction's current average response time has risen significantly above its established baseline. This enables AppDynamics to detect performance degradation relative to normal behavior rather than relying exclusively on a fixed threshold that may not suit every transaction.
The error-rate health rule similarly identifies when the number or percentage of transaction errors is substantially higher than expected. This provides early warning of application failures, exceptions, unsuccessful requests, or downstream dependency problems before they affect a larger portion of users.
Web-container thread utilization, thread stalls, and transaction-rate changes can also be monitored by creating or configuring health rules, but the listed formulations are not the two standard proactive Business Transaction health rules represented here. AppDynamics health rules can generate warning or critical violations and then invoke policies for notifications, diagnostics, remediation, or external-system integration.
Relevant CAAPA Study Guide topics include Default Health Rules, Business Transaction Performance, Dynamic Baselines, Response-Time Monitoring, Error-Rate Monitoring, Health Rule Violations, and Policy Actions.
NEW QUESTION # 40
What are two examples of backend calls? (Choose two.)
Answer: A,D
Explanation:
Backend calls in AppDynamics are the interactions that an application component has with external components or services. These can include calls to databases, remote service calls, and interactions between different tiers of an application.
A tier-to-tier request refers to any internal call that happens between different tiers (or nodes) within the same application. For example, a web tier calling an API service tier within the same application ecosystem.
A remote services call is an external call from an application to a service that resides outside of the application's environment, like a call to an external web service, REST API, or a third-party service provider.
References:
AppDynamics documentation on Backend Detection:
https://docs.appdynamics.com/21.6/en/application-monitoring/identify-backends
NEW QUESTION # 41
Which option, in addition to "minutes since creation", would a Performance Analyst use while configuring Automatic Cleanup of stale Business Transactions?
Answer: B
Explanation:
When configuring Automatic Cleanup of stale Business Transactions, the "minutes since creation" option is often paired with the "Number of Calls" metric. This setting ensures that business transactions that have not been called within a certain timeframe and have had a negligible number of calls are automatically cleaned up, helping to maintain an organized and relevant set of business transactions in the monitoring system.
References:
AppDynamics documentation on Business Transactions: Discusses best practices for managing business transactions, including the automatic cleanup based on time and call volume thresholds.
NEW QUESTION # 42
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