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Cisco AppDynamics Associate Performance Analyst certification exam is intended for professionals who are responsible for APM and analytics, including application developers, IT operations professionals, and system administrators. 500-420 Exam covers a wide range of topics, including application architecture and infrastructure, performance metrics and analysis, transaction tracing and diagnostics, and business transaction monitoring.
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Cisco 500-420 certification exam is an essential certification for IT professionals who want to demonstrate their expertise in AppDynamics technology. 500-420 exam covers a wide range of topics related to AppDynamics technology and is recognized by IT organizations worldwide. By passing 500-420 Exam, candidates can enhance their skills and knowledge in AppDynamics technology, advance their career in the IT industry, and increase their earning potential.
NEW QUESTION # 121
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: B
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 # 122 
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: C
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 # 123
Periodic Snapshot thresholds can be configured at which two levels? (Choose two.)
Answer: A,D
Explanation:
Periodic Transaction Snapshot thresholds can be configured at the Application level and overridden for an individual Business Transaction.
The application-level configuration establishes the default periodic snapshot behavior for all Business Transactions within the monitored application. This provides a consistent collection policy, including how frequently normal transaction snapshots are captured for ongoing diagnostic visibility.
For a particularly important or high-risk Business Transaction, the Performance Analyst can define transaction-specific settings. The individual-transaction configuration overrides the application default, allowing more frequent or specialized snapshot collection for critical operations such as checkout, payment authorization, login, or order submission.
Periodic snapshot thresholds are not configured directly at the node or tier level. Nodes inherit the transaction- monitoring configuration associated with their application and Business Transactions. Service Endpoints generate their own performance metrics, but they do not use the Business Transaction periodic snapshot threshold model independently.
This hierarchy enables broad application-wide governance while still allowing targeted diagnostic depth for selected transactions. Relevant CAAPA Study Guide topics include Transaction Snapshot Collection, Periodic Snapshots, Application-Level Snapshot Configuration, Business Transaction Overrides, Diagnostic Sessions, and Snapshot Collection Thresholds.
NEW QUESTION # 124
Where would a Performance Analyst view detailed trend graphs representing application performance from the viewpoint of the end user in AppDynamics?
Answer: C
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 # 125
Using the Business Transaction Discovery Sessions tools, which two items can a Performance Analyst browse? (Choose two.)
Answer: A,D
Explanation:
Business Transaction Discovery Sessions allow a Performance Analyst to browse the application's classes and methods while identifying suitable entry points for custom Business Transaction detection. The discovery process observes application execution and exposes loaded or invoked code structures, enabling the analyst to locate the class and method that represent the beginning of a meaningful transaction.
Browsing classes helps narrow the search to the relevant package or application component. After selecting a class, the analyst can inspect its methods and choose the appropriate method as the transaction entry point.
This is particularly useful when automatic discovery does not recognize a proprietary framework, background process, scheduled task, or other nonstandard execution path.
Database Calls are analyzed as exit calls or backend activity rather than browsed as transaction entry-point code. JMX MBeans are accessed through JMX monitoring and metric configuration tools. Memory Objects are examined through memory diagnostics, object instance tracking, or leak-detection functions, not Business Transaction Discovery Sessions.
Relevant CAAPA Study Guide topics include Business Transaction Discovery Sessions, Class and Method Browsing, Custom Match Rules, Entry-Point Configuration, Automatic Discovery, and Application Agent Instrumentation.
NEW QUESTION # 126
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