有效的考試認證資料Cisco 500-420考試證照是由Cisco公司專業認證培訓師認真研發的

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Cisco 500-420 考試大綱:

主題簡介
主題 1
  • Troubleshooting: This topic assesses the expertise of Cisco administrators, architects, and consultants in using dashboards, following troubleshooting procedures, capturing snapshots, and evaluating server performance. Candidate aspiring to become the Cisco AppDynamics Associate Performance Analyst must demonstrate competence in identifying slow, error, and stalled business transactions.
主題 2
  • Business Transactions: This section evaluates the ability to manage and optimize business transaction configurations within Cisco AppDynamics. It involves creating transaction scopes, analyzing metrics, and managing detection logic. For Cisco architects and consultants, proficiency in this area is essential for ensuring that business transactions are accurately tracked and performance is optimized across the application.
主題 3
  • Collectors, Information Points, and Service Endpoints: Candidates must demonstrate their ability to manage transaction splits, configure asynchronous transactions, and analyze endpoint metrics. Targeting aspiring Cisco systems implementers and architects, this section emphasizes the importance of data collection and analysis in maintaining application performance.
主題 4
  • Agents and Application Performance: This 500-420 exam topic examines the ability to effectively manage AppDynamics agents, monitor application performance, and troubleshoot related issues. It covers configuring alerts, identifying performance metrics, and generating reports. Cisco administrators, architects, and consultants must demonstrate their skills in maintaining agent functionality and analyzing application performance, ensuring optimal system operation.
主題 5
  • Health Rules, Dashboards, and Snapshots: This topic tests the 500-420 exam candidate's competence in creating and managing health rules, dashboards, and snapshots. It includes monitoring health events, identifying issues through dashboards, and analyzing snapshots. The exam measures how well Cisco administrators and systems engineers can maintain application health and respond to potential issues, ensuring continuous system performance.

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最新的 AppDynamics Certified Associate 500-420 免費考試真題 (Q64-Q69):

問題 #64
How can a Business Transaction be permanently deleted?

答案:D

解題說明:
To permanently remove a Business Transaction, the analyst must first exclude it from transaction detection and then delete it from the Business Transaction list. Deleting the transaction alone removes its current registration and associated visibility from the Controller, but the Application Agent can rediscover and register it again when matching traffic is observed.
An exclusion rule prevents future requests matching the specified entry point or transaction criteria from being detected as that Business Transaction. After the exclusion is configured and applied, the existing Business Transaction can be deleted safely without being recreated by automatic discovery.
Business Transaction Automatic Cleanup removes stale or inactive transactions according to retention and cleanup criteria; it does not prevent an active transaction from being rediscovered. Merely deleting the transaction from the list is therefore temporary when matching requests continue. Modifying a detection rule may alter transaction classification, but the explicit and reliable method for permanent removal is to exclude the transaction before deleting its existing registration.
Relevant CAAPA Study Guide topics include Business Transaction Detection, Exclude Rules, Automatic Discovery, Business Transaction Registration, Transaction Cleanup, and Business Transaction Management.


問題 #65
When using the REST interface, where would a Performance Analyst go to see all captured endpoints by service?

答案:D

解題說明:
The Metric Browser provides the authoritative metric hierarchy and can generate the REST URL corresponding to a selected Service Endpoint metric. A Performance Analyst first navigates to a representative Service Endpoint and metric, then copies the generated REST URL. The metric path in that URL can be modified with supported wildcard expressions to return matching metrics for all captured Service Endpoints or services within the application.
This method avoids manually constructing an unfamiliar metric path and ensures that the application identifier, metric hierarchy, time-range parameters, and REST endpoint syntax are correct. Wildcards allow the analyst to query multiple Service Endpoint names, tiers, or metric branches in one request.
Direct access to the Controller's underlying database is unsupported and bypasses the Controller API model.
The Applications browser is useful for interactive analysis but does not itself provide the most direct REST- query construction workflow. "Consumed Endpoints" is not the required location for enumerating all Service Endpoint metrics through the REST interface.
Relevant CAAPA Study Guide topics include Metric Browser, Service Endpoint Metrics, Metric Data REST API, Metric Paths, Wildcard Queries, and REST URL Generation.


問題 #66
What are three effects of Development Level Monitoring? (Choose three.)

答案:B,D,F

解題說明:
Development Level Monitoring is intended for controlled development or diagnostic environments where maximum transaction visibility is more important than minimizing agent overhead. In this mode, the agent captures full call graphs, providing method-level execution detail rather than the reduced or partial call-graph collection associated with normal production monitoring.
The agent also attempts to collect a transaction snapshot for every transaction. "Attempts" is the critical distinction: snapshot creation remains subject to agent safeguards, resource constraints, transaction behavior, and collection limits. Therefore, Development Level Monitoring does not provide an absolute guarantee that every transaction will produce a retained snapshot, making option F incorrect.
Development mode additionally collects more detailed exit-call information for calls to backend systems, improving analysis of downstream databases, services, and other remote dependencies.
The agent does not ignore dev-mode-suspend-cpm. This property is a protective calls-per-minute threshold that can suspend development-mode collection when transaction volume becomes excessive. Relevant CAAPA Study Guide topics include Agent Configuration, Monitoring Levels, Transaction Snapshots, Call Graph Collection, Exit Calls, and Development-Mode Performance Safeguards.


問題 #67
Where would a Performance Analyst view detailed trend graphs representing application performance from the viewpoint of the end user in AppDynamics?

答案:B

解題說明:
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.


問題 #68
Which type of Data Collector will capture code data such as method arguments, variables, and return values?

答案:D

解題說明:
The "Method Invocation Data Collector" is specifically designed to capture code-level data such as method arguments, variables, and return values. This type of data collector enables deep visibility into the execution of methods within transactions, providing valuable insights into the application's behavior and performance. This detailed level of monitoring is essential for diagnosing complex issues and understanding the inner workings of business transactions.
References:
AppDynamics documentation on Data Collectors: Details the types of data collectors available, including Method Invocation Data Collectors, and how they can be used to capture detailed code-level data.


問題 #69
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