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| Section | Weight | Objectives |
|---|---|---|
| Information Points, Collectors, and Service Endpoints | 20% | - Configuring information points - Service endpoint monitoring - Database and custom collectors |
| Health Rules, Alerts, and Dashboards | 20% | - Custom dashboards and reporting - Creating and managing health rules - Alert configuration and actions |
| Flow Maps and Application Architecture | 20% | - Environment and topology overview - Component dependency visualization - Interpreting flow maps |
| Business Transactions | 25% | - Metrics analysis and baselining - Transaction detection and configuration - Slow, error, and stalled transaction identification |
| Troubleshooting and Performance Analysis | 15% | - Remediation and optimization steps - Identifying bottlenecks and root causes - Analyzing call graphs and snapshots |
私たちの社会はあらゆる種類の包括的な才能を必要としています。JPNTestの500-420最新の準備資料はあなたが望むものを提供しますが、退屈な本の知識だけでなく、社会的実践との組み合わせの柔軟な使用もできます。したがって、資格500-420試験に合格する必要があります。500-420学習練習問題は、質の高い学習プラットフォームをもたらすことができます。進歩して理想の人生を達成したい場合、試験で従来の方法を使用しているのであれば、500-420テスト材料を選択してください。それは確かにあなたを輝かせます。
質問 # 103
Which statement is correct regarding controller-level and tier/node-level dashboards?
正解：D
解説：
Controller-level and tier/node-level dashboards in AppDynamics are treated as separate entities. They are scoped differently, with controller-level dashboards providing a global view across the entire AppDynamics domain, and tier/node-level dashboards being specific to particular tiers or nodes within an application.
Performance Analysts do not have the ability to cross-reference directly between these two sets of dashboards within the AppDynamics UI.
References:
AppDynamics documentation on Dashboards: https://docs.appdynamics.com/latest/en/application-monitoring
/custom-dashboards
質問 # 104
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?
正解：D
解説：
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.
質問 # 105
Which type of Data Collector will capture code data such as method arguments, variables, and return values?
正解：D
解説：
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.
質問 # 106
Which three Key Performance Indicators (KPIs) are automatically collected when you create an Information Point without adding custom data? (Choose three.)
正解：C、E、F
解説：
When an Information Point is created in AppDynamics without adding custom data, it automatically collects three key performance indicators (KPIs): Response Time, Errors per Minute, and Calls per Minute. Response Time measures the time taken to complete a transaction or operation, providing insights into application performance. Errors per Minute tracks the number of errors occurring within the scope of the Information Point, helping identify problematic areas. Calls per Minute counts the number of times the specified operation or transaction is invoked, indicating its usage frequency and potential impact on application performance.
References:
AppDynamics documentation on Information Points: Discusses the creation and configuration of Information Points, including the default metrics collected.
質問 # 107
What are two default Business Transaction limits at the Application and Node levels? (Choose two.)
正解：B、C
解説：
By default, AppDynamics allows a maximum of 200 registered Business Transactions per application and 50 Business Transactions per node.
The application-level limit controls the total number of unique Business Transactions that can be registered across all tiers and nodes belonging to the application. The node-level limit restricts how many transactions a single Application Agent can independently discover and register. These safeguards prevent uncontrolled Business Transaction growth, excessive metric creation, and unnecessary Controller resource consumption.
When either limit is reached, newly discovered requests are not registered as individual Business Transactions. Instead, they are typically grouped into an All Other Traffic category for the affected tier or entry-point type. Important transactions can still be prioritized by creating Custom Match Rules, excluding low-value traffic, refining transaction naming, or adjusting registration limits where operationally justified.
The application limit is not 100 or 300 by default, and the node limit is not 75 or 200.
Relevant CAAPA Study Guide topics include Business Transaction Registration Limits, Application and Node Limits, All Other Traffic, Automatic Transaction Discovery, Custom Match Rules, Exclude Rules, and Business Transaction Lock Down.
質問 # 108
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被験者は定期的に計画を立て、自分の状況に応じて目標を設定し、研究を監視および評価することにより、学習者のプロフィールを充実させる必要があります。 500-420試験の準備に役立つからです。試験に合格して関連する試験を受けるには、適切な学習プログラムを設定する必要があります。当社から500-420テストガイドを購入し、それを真剣に検討すると、最短時間で500-420試験に合格するのに役立つ適切な学習プランが得られると考えています。
500-420試験解説: https://www.jpntest.com/shiken/500-420-mondaishu
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