認定した500-420模擬問題と効果的な500-420テキスト

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Cisco 500-420 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Troubleshooting15%- Identify slow performance and errors from backend systems
- Utilize dashboards to identify performance issues
- Capture snapshots and troubleshoot health rule violations
Topic 2: Collectors, Information Points, and Service Endpoints25%- Configure information points and service endpoints
- Analyze service endpoint metrics
- Define and configure data collectors
Topic 3: Business Transactions20%- Manage discovery and analyze transaction metrics
- Create and configure business transaction settings
- Determine transaction scope and rule assignment
Topic 4: Agents and Application Performance20%- Verify agent functionality, performance, and connectivity
- Determine application performance impact and scheduled reports
- Configure alerts and identify system performance metrics
- Monitor performance trends
- Troubleshoot performance problems
Topic 5: Health Rules, Dashboards, and Snapshots20%- Create and configure health rules
- Create and interpret dashboards
- Locate and analyze snapshots

>> 500-420模擬問題 <<

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Cisco AppDynamics Associate Performance Analyst 認定 500-420 試験問題 (Q14-Q19):

質問 # 14
A client needs to reference a metric from different applications on an AppDynamics dashboard. Which of the following is true?

正解：A

解説：
In AppDynamics, metrics from different applications can indeed be cross-referenced on a single dashboard.
This allows for a more holistic view of an organization's application ecosystem, facilitating the comparison and correlation of performance metrics across different applications within the same AppDynamics controller.
References:
AppDynamics documentation on Custom Dashboards: Details how to create custom dashboards that can include metrics from multiple applications, enabling cross-referencing and comprehensive performance monitoring.


質問 # 15
What is a reason for creating an Information Point?

正解：B

解説：
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.


質問 # 16
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：A

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 # 17
How does a Performance Analyst identify if automatic remediation has been taken for a health rule violation?

正解：B

解説：
To identify if automatic remediation actions have been taken for a health rule violation in AppDynamics, a Performance Analyst should expand the " Description " field of the health rule violation event. This section will provide details on the actions executed as part of the automatic remediation process. These details help analysts understand the steps taken by the system to mitigate the issue without manual intervention.
References: AppDynamics documentation on Health Rule Violations and Automated Actions.


質問 # 18
Which option, in addition to "minutes since creation", would a Performance Analyst use while configuring Automatic Cleanup of stale Business Transactions?

正解：D

解説：
When configuring Automatic Cleanup of stale Business Transactions, the "minutes since creation" option is often paired with the "Number of Calls" metric. This setting ensures that business transactions that have not been called within a certain timeframe and have had a negligible number of calls are automatically cleaned up, helping to maintain an organized and relevant set of business transactions in the monitoring system.
References:
AppDynamics documentation on Business Transactions: Discusses best practices for managing business transactions, including the automatic cleanup based on time and call volume thresholds.


質問 # 19
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