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| Certification Vendor: | Cisco |
|---|---|
| Exam Name: | Cisco AppDynamics Associate Performance Analyst (CAAPA) |
| Exam Number: | 500-420 |
| Available Languages: | English, Japanese |
| Passing Score: | 70-80% |
| Exam Price: | USD 300 |
| Exam Format: | Multiple-choice, Drag-and-drop, Scenario-based |
| Real Exam Qty: | 55-65 |
| Exam Duration: | 90 minutes |
| Certificate Validity Period: | 3 years |
| Recommended Training: | AppDynamics Official Learning Resources Cisco AppDynamics Associate Training |
| 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-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.
Preparing for the Cisco 500-420 exam requires a solid understanding of Cisco AppDynamics, as well as experience working with APM tools and practices. There are a variety of resources available to help you prepare for the exam, including online training courses, study guides, and practice exams.
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.
NEW QUESTION # 13
When a manual diagnostic session is triggered, what snapshots are captured?
Answer: C
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 # 14
A Performance Analyst needs to define a special database Key Performance Indicator (KPI). Which menu options should be used?
Answer: B
Explanation:
A database-specific KPI is created through Databases > Configuration > Custom Metrics. This area allows the Performance Analyst to define additional database measurements that are not included among the standard metrics collected by Database Visibility. A custom metric is typically based on a database query that returns a numeric value, such as queue depth, replication lag, application-specific record counts, storage utilization, or another operational indicator important to the organization.
After configuration, the Database Agent executes the metric query according to the defined collection interval and reports the resulting value to the Controller. The KPI can then be reviewed with other database metrics and incorporated into dashboards, health rules, baselines, and alerting policies.
The Metric Browser is used to inspect and analyze metrics already being collected; it is not the primary location for defining a new database custom metric. Application Instrumentation configures Application Agent transaction detection and code-level monitoring, while Slow Transaction Thresholds controls Business Transaction performance classification rather than database KPI creation.
Relevant CAAPA Study Guide topics include Database Visibility, Database Agent Configuration, Custom Database Metrics, Metric Queries, KPI Monitoring, Health Rules, and Metric Browser Analysis.
NEW QUESTION # 15
A Performance Analyst has decided to replace a Servlet Business Transaction with a Service Endpoint. There were no Business Transaction Custom Match Rules, and the analyst created a Business Transaction Custom Exclude Rule matching the transaction URI. The analyst also created a Service Endpoint Custom Match Rule matching the URI. Which statement is true?
Answer: B
Explanation:
The custom exclude rule prevents the servlet request from being registered and monitored as a Business Transaction, while the Service Endpoint custom match rule independently instruments the matching URI as a Service Endpoint. AppDynamics therefore continues to collect Service Endpoint metrics, including average response time, calls per minute, and errors, allowing the analyst to monitor the service's performance without consuming a Business Transaction registration.
The excluded request does not produce normal Business Transaction snapshots, so the analyst cannot rely on snapshot call graphs to inspect the Service Endpoint or its downstream exit calls. Exit-point visibility is normally obtained through Business Transaction snapshots and call graphs.
EUM correlation also depends on the server-side request being represented as a correlated Business Transaction. A standalone Service Endpoint does not replace that Business Transaction correlation path and therefore cannot provide equivalent browser or mobile EUM linkage.
Relevant CAAPA Study Guide topics include Service Endpoint Detection, Custom Service Endpoint Match Rules, Business Transaction Exclude Rules, Service Endpoint Metrics, Transaction Snapshots, Exit Calls, and EUM Correlation.
NEW QUESTION # 16
Which option should a Performance Analyst use in an environment where virtual machines are routinely created and destroyed?
Answer: D
Explanation:
In an elastic environment where virtual machines are frequently provisioned and terminated, the Performance Analyst should enable node-name reuse by using -Dappdynamics.agent.reuse.nodeName together with - Dappdynamics.agent.reuse.nodeName.prefix.
The reuse setting allows an Application Agent to register against an available historical node identity rather than continually creating a new node record each time a replacement virtual machine starts. The prefix groups reusable node names for a particular tier, service, or deployment pool, ensuring that agents select node identities from the correct logical set. This prevents excessive node proliferation in the Controller and preserves cleaner historical monitoring for short-lived infrastructure.
A typical configuration enables reuse and supplies a stable prefix, for example:
-Dappdynamics.agent.reuse.nodeName=true
-Dappdynamics.agent.reuse.nodeName.prefix=checkout-node
Proxy properties only control Controller connectivity through an HTTP proxy. Node metadata and a fixed node name do not provide controlled reuse across an automatically scaling pool.
Relevant CAAPA Study Guide topics include Dynamic and Elastic Environments, Node Name Reuse, Application Agent Registration, Tier and Node Configuration, and Controller Node Management.
NEW QUESTION # 17
The performance impact on the_______would lead a Performance Analyst to limit the duration and frequency of automatic diagnostic sessions.
Answer: A
Explanation:
The primary concern for a Performance Analyst when considering the impact of automatic diagnostic sessions is the application itself. Intensive diagnostic sessions can be resource-heavy, potentially affecting the application ' s performance. Therefore, it is often necessary to limit the duration and frequency of these sessions to ensure they do not negatively impact the application's end-user experience.
References:
AppDynamics documentation on Diagnostic Sessions: https://docs.appdynamics.com/latest/en/troubleshoot
/diagnostic-sessions
NEW QUESTION # 18
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