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500-420トレーニング資料のPDFバージョン：Cisco AppDynamics Associate Performance Analystは読みやすく、覚えやすく、印刷要求をサポートしているため、紙で印刷して練習することができます。 練習資料のソフトウェアバージョンは、シミュレーションテストシステムをサポートし、セットアップの時間を与えることには制限がありません。 このバージョンはWindowsシステムユーザーのみをサポートすることに注意してください。 500-420試験問題のオンライン版は、Ciscoあらゆる種類の機器やデジタルデバイスに適しています。モバイルデータなしで練習することを条件に、オフラインでの運動をサポートします。 豊富な練習資料はお客様のさまざまなニーズに対応でき、これらの500-420模擬練習にはすべて、Ciscoテストに合格するために知っておく必要がある新しい情報が含まれています。 あなたの個人的な好みに応じてそれらを選択することができます。
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500-420試験の準備をするとき、がむしゃらにITに関連する知識を学ぶのは望ましくない勉強法です。実際は試験に合格するコツがあるのですよ。もし試験に準備するときに良いツールを使えば、多くの時間を節約することができるだけでなく、楽に試験に合格する保障を手にすることもできます。どんなツールかと聞きたいでしょう。それはもちろんCertShikenの500-420問題集ですよ。
質問 # 24
A Performance Analyst is evaluating the performance of a shopping application from a customer perspective.
Which three Key Performance Indicators (KPIs) are quantifiable measurements used to determine user experience? (Choose three.)
正解：A、B、D
解説：
The three KPIs that most directly quantify customer experience are Business Transactions 94th Percentile Response Time, End User Response Time, and Business Transactions Errors per Minute.
The 94th percentile response time indicates how long the majority of Business Transaction executions take while reducing the masking effect of averages. It reveals whether a meaningful portion of customers is experiencing slow checkout, search, cart, or order-processing operations.
End User Response Time measures the customer-observed time required for a browser or mobile interaction to complete. It includes client-side processing, network latency, content loading, and server response, making it the most direct representation of perceived application performance.
Business Transactions Errors per Minute quantifies failed application operations. A rising error rate can represent unsuccessful logins, payment failures, rejected orders, or other outcomes that directly impair the customer journey.
Network incoming errors, Machine Agent availability, and CPU utilization are valuable infrastructure indicators, but they measure supporting-system health rather than customer experience itself.
Relevant CAAPA Study Guide topics include End User Monitoring, Business Transaction Performance, Percentile Response Time, Error Monitoring, Customer Experience KPIs, and Application Performance Correlation.
質問 # 25
Which item supplements business transaction and transaction analytics data with application data?
正解：C
質問 # 26
Business Transaction Discovery Sessions work with which two code languages? (Choose two.)
正解：B、C
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 # 27
Which dashboard can be used to identify potential Business Transactions contributing to an increase in Error Counts?
正解：D
解説：
The Top Business Transactions - by Errors dashboard is specifically designed to rank Business Transactions according to their error activity. When the application's aggregate Error Count increases, this view quickly identifies which transactions are generating the largest number or proportion of errors during the selected time range. The Performance Analyst can then select a high-error Business Transaction and drill down into its transaction snapshots, exceptions, affected tiers, and backend dependencies.
Transaction Score - Snapshots categorizes transactions by performance condition, such as normal, slow, very slow, stalled, or error, but it is not the most direct ranked view for determining which Business Transactions are driving an overall increase in errors. Transaction Snapshots - All Snapshots provides execution-level diagnostic records and requires more manual filtering. Application Flow - Grid View is primarily used to compare tiers, nodes, and backend dependencies rather than rank Business Transactions by error contribution.
Relevant CAAPA Study Guide topics include Application Dashboard, Top Business Transactions, Error Analysis, Transaction Snapshots, Business Transaction Drill-Down, and Exception Troubleshooting.
質問 # 28
Which option should a Performance Analyst use in an environment where virtual machines are routinely created and destroyed?
正解：B
解説：
In environments where virtual machines are frequently created and destroyed, using the agent configuration properties-Dappdynamics.agent.reuse.nodeNameand-Dappdynamics.agent.reuse.nodeName.prefixcan be beneficial. These settings allow AppDynamics agents to reuse node names for newly created instances, facilitating consistent monitoring and tracking across dynamic environments. This approach helps maintain clarity in application topology and ensures that performance data remains coherent even as the underlying infrastructure changes.
References:
AppDynamics documentation on Agent Configuration: Discusses advanced agent configuration options, including node name reuse, to accommodate dynamic environments such as those with frequently changing virtual machines.
AppDynamics documentation on Infrastructure Monitoring: Offers insights into best practices for monitoring in dynamic and virtualized environments.
質問 # 29
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