500-420 Cisco AppDynamics Associate Performance Analyst問題集トレント、500-420実際の質問

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Cisco 500-420 認定試験の出題範囲:

トピック出題範囲
トピック 1
  • 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.
トピック 2
  • 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.
トピック 3
  • 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.
トピック 4
  • 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.
トピック 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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Cisco AppDynamics Associate Performance Analyst 認定 500-420 試験問題 (Q118-Q123):

質問 # 118
Business Transaction Discovery Sessions work with which two code languages? (Choose two.)

正解:D、E

解説:
Business Transaction Discovery Sessions are supported for Java and .NET applications. These sessions help a Performance Analyst identify candidate transaction entry points when automatic discovery does not detect a proprietary framework, background process, scheduled task, or other nonstandard execution path.
During a discovery session, the Application Agent observes executed application code and allows the analyst to browse relevant classes and methods. The selected method can then be used to create or refine a Custom Match Rule, establishing a new Business Transaction entry point with appropriate naming and scope.
Java and .NET agents provide the runtime instrumentation and class-method visibility required for this workflow. C++, PHP, and Node.js applications have their own supported monitoring and transaction- detection capabilities, but they do not use the Business Transaction Discovery Session feature referenced in this question.
Discovery sessions should be run for a controlled period while representative application traffic exercises the target code path. The resulting class and method information can then be reviewed before creating a permanent transaction detection rule.
Relevant CAAPA Study Guide topics include Business Transaction Discovery Sessions, Java Agent, .NET Agent, Class and Method Browsing, Custom Match Rules, Entry-Point Detection, and Transaction Naming.


質問 # 119
Developers and operations personnel complain the Controller tracks many irrelevant Java classes and methods. How does a Performance Analyst exclude this unhelpful information?

正解:B

解説:
To streamline the monitoring process and enhance the relevance of collected data, AppDynamics allows Performance Analysts to exclude certain Java classes and methods from instrumentation. This is done through the " Configuration > Instrumentation > Call Graph Settings " menu, where irrelevant packages and classes can be specified for exclusion. This approach prevents the AppDynamics agent from tracking unnecessary or irrelevant methods, thus reducing overhead and focusing on the most critical aspects of application performance.
References:
AppDynamics documentation on Call Graph Settings: This section details how to configure call graph settings, including the exclusion of specific classes and methods from instrumentation, to optimize performance monitoring.


質問 # 120
A Performance Analyst has an urgent need to gather more data for an ongoing issue. What should the Performance Analyst do?

正解:D

解説:
If a Performance Analyst has an urgent need to gather more data for an ongoing issue, they should enable Development Level Monitoring. This monitoring level increases the amount of detailed diagnostic data collected by the agent, such as snapshots and transaction traces, which can provide deeper insights into the issue at hand.
References:
AppDynamics documentation on Monitoring Levels: Describes the different levels of monitoring available, including Development Level Monitoring and the types of data each level collects.


質問 # 121
Which three Key Performance Indicators (KPIs) are automatically collected when you create an Information Point without adding custom data? (Choose three.)

正解:B、C、F

解説:
When an Information Point is created, AppDynamics automatically collects three core method-level KPIs:
Response Time, Errors per Minute, and Calls per Minute.
Response Time measures how long the configured class and method take to execute. This enables the Performance Analyst to identify degradation in a critical internal operation and compare current behavior with historical trends or baselines.
Errors per Minute records the rate at which executions of the Information Point encounter errors. This provides direct visibility into failures associated with the monitored method, even when that method is not itself a Business Transaction entry point.
Calls per Minute measures invocation frequency. It is useful for tracking operational activity such as cache access, pricing calculations, order processing, or calls to a business-critical internal service.
Minimum Response Time, Maximum Response Time, and CPU Time are not the three standard KPIs automatically generated for an Information Point in this context. Additional business values can be collected separately by configuring custom data or custom metrics.
Relevant CAAPA Study Guide topics include Information Points, Method-Level Monitoring, Calls per Minute, Response Time, Errors per Minute, Custom Data, Custom Metrics, and Baseline Comparison.


質問 # 122
Which two views can a Controller-level custom dashboard provide? (Choose two.)

正解:A、D

解説:
Controller-level custom dashboards in AppDynamics have the flexibility to provide views that aggregate and compare data from different applications on the same Controller, as well as offer a customized view of applications, servers, and database performance data. This capability enables a holistic view of the IT environment, facilitating cross-application insights and the ability to correlate performance across different layers of the technology stack. Such dashboards are invaluable for understanding overarching trends, pinpointing systemic issues, and driving informed decision-making across multiple applications and infrastructure components.
References:
AppDynamics documentation on Custom Dashboards: Provides detailed instructions on creating and customizing dashboards at the Controller level, including the aggregation and comparison of data from various sources.
AppDynamics documentation on Controller UI: Explains the functionalities available within the Controller UI, including the creation of comprehensive dashboards that encompass application, server, and database metrics.


質問 # 123
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