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| Certification Vendor: | Cisco |
|---|---|
| Exam Name: | Cisco AppDynamics Associate Performance Analyst |
| Exam Number: | 500-420 CAAPA |
| Exam Duration: | 90 minutes |
| Exam Price: | $300 USD |
| Related Certifications: | Cisco AppDynamics Professional Implementer (500-430) Cisco AppDynamics Associate Administrator (500-425) |
| Exam Format: | Multiple Choice |
| Available Languages: | English, Japanese |
| 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 exam is intended for individuals who have a basic understanding of application performance management, including application monitoring, troubleshooting, and tuning. 500-420 Exam validates your ability to install, configure, and manage Cisco AppDynamics, and provides a foundation for implementing more advanced APM practices.
NEW QUESTION # 31
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 # 32
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 # 33
Where would a Performance Analyst view detailed trend graphs representing application performance from the viewpoint of the end user in AppDynamics?
Answer: D
Explanation:
The Performance Analyst should use Browser Apps. This area contains Browser Real User Monitoring data and presents application performance from the actual end user's perspective. It provides detailed trend graphs for browser pages and AJAX requests, including metrics such as end-user response time, page load time, network time, server time, DOM processing time, resource-loading time, request volume, errors, and geographic or browser-related performance variations.
These measurements enable the analyst to determine whether a performance problem originates in the browser, network, content-delivery path, application server, or a downstream dependency. The graphs can also be filtered by time range, page, browser type, device, operating system, location, and other user-session dimensions.
Transaction Analytics is used for querying and analyzing transaction and business-event data. Remote Services focuses on backend dependencies and external service calls. Applications primarily provides server- side APM visibility into Business Transactions, tiers, nodes, and application flow.
Relevant CAAPA Study Guide topics include Browser Real User Monitoring, Browser Applications, End- User Response Time, Page and AJAX Performance, User Experience Analysis, and Client-Side Performance Trends.
NEW QUESTION # 34
An online order portal for a restaurant has a "menu" transaction with different request types that must be monitored as separate transactions, such as "menu.salads" and "menu.entree." A Performance Analyst wants to create one rule that separates the transactions instead of creating an individual rule for each request type.
Which option should be enabled on a Custom Match rule?
Answer: A
Explanation:
The Performance Analyst should enable Split Transaction using request data. This capability allows a single Custom Match rule to dynamically divide one base transaction into multiple business transactions according to values contained in the incoming HTTP request. For example, the rule can identify the base transaction as menu and append a request-derived value such as salads or entree, producing distinct transactions named menu.salads and menu.entree.
This approach avoids maintaining separate match rules for every menu category and scales automatically as additional request values are introduced.
An HTTP Request Data Collector captures request attributes for visibility within transaction snapshots but does not itself split or rename business transactions. A Method Invocation Data Collector captures method parameters, return values, or invoked-object data and is also unrelated to transaction splitting. Split Transaction using JSON is appropriate only when the required discriminator must specifically be extracted from a JSON payload.
Relevant CAAPA topics include Business Transaction Detection, Custom Match Rules, Transaction Naming, Request-Based Splitting, and Data Collectors.
NEW QUESTION # 35
Which tool should be used to analyze all the External Call details, including database and remote service calls, for a specific Business Transaction?
Answer: B
Explanation:
The Transaction Snapshot is the correct tool for analyzing detailed external calls associated with a specific Business Transaction. A snapshot captures one execution instance and provides drill-down visibility into the complete transaction path, including database calls, remote service calls, exit calls, call graphs, errors, and timing information.
Within the snapshot, the DB and Remote Services Calls view identifies each downstream dependency invoked during the transaction. The Performance Analyst can examine call duration, number of calls, SQL or database activity where available, remote service destinations, backend response time, and the contribution of each external call to total transaction latency. This makes snapshots particularly effective for determining whether a slow database query or remote service is responsible for degraded Business Transaction performance.
The Business Transaction List provides aggregated transaction metrics but not execution-level external call detail. The Application Dashboard summarizes overall application behavior and dependencies, while the Metric Browser displays time-series metrics without the complete per-transaction call context.
Relevant CAAPA Study Guide topics include Transaction Snapshots, DB and Remote Services Calls, Exit Calls, Call Graphs, Backend Analysis, and Business Transaction Troubleshooting.
NEW QUESTION # 36
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