ちなみに、CertShiken 500-420の一部をクラウドストレージからダウンロードできます：https://drive.google.com/open?id=1irhoj7dRhP4pJnRdJSJzBAGqoeFGl-6Z
500-420準備トレントは、タイムリーなアプリケーションを提供することにより、デジタル化された世界に対応できます。ソフトウェアとAPPのオンラインバージョンがあり、実際の試験環境をシミュレートできます。Ciscoこの500-420練習教材の特性を十分に活用すれば、500-420の実際の試験に対処するときに緊張することはありません。さらに、それらはすべての電子デバイスにダウンロードできるため、かなりモダンな学習体験を手軽に楽しむことができます。 500-420試験問題を試してみませんか？
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500-420資格認定は重要な課題になっていて、この資格認定書を所有している人は会社に得られる給料が高いです。我々500-420問題集を利用し、試験に参加しましょう。試験に成功したら、あなたの知識と能力を証明することができます。あなたはこれらの500-420資格認定を持つ人々の一員になれると、いい仕事を探させます。
質問 # 110
Which option should a Performance Analyst use in an environment where virtual machines are routinely created and destroyed?
正解：A
解説：
In an elastic environment where virtual machines are frequently provisioned and terminated, the Performance Analyst should enable node-name reuse by using -Dappdynamics.agent.reuse.nodeName together with - Dappdynamics.agent.reuse.nodeName.prefix.
The reuse setting allows an Application Agent to register against an available historical node identity rather than continually creating a new node record each time a replacement virtual machine starts. The prefix groups reusable node names for a particular tier, service, or deployment pool, ensuring that agents select node identities from the correct logical set. This prevents excessive node proliferation in the Controller and preserves cleaner historical monitoring for short-lived infrastructure.
A typical configuration enables reuse and supplies a stable prefix, for example:
-Dappdynamics.agent.reuse.nodeName=true
-Dappdynamics.agent.reuse.nodeName.prefix=checkout-node
Proxy properties only control Controller connectivity through an HTTP proxy. Node metadata and a fixed node name do not provide controlled reuse across an automatically scaling pool.
Relevant CAAPA Study Guide topics include Dynamic and Elastic Environments, Node Name Reuse, Application Agent Registration, Tier and Node Configuration, and Controller Node Management.
質問 # 111
Which two functions does the Business Transaction Discovery Feature allow a user to perform? (Choose two.)
正解：A、D
解説：
The Business Transaction Discovery feature in AppDynamics allows users to identify new and potential business transactions directly within the Business Transaction Dashboard. This feature aids in the continuous monitoring and adaptation of the application's transaction tracking to changing business needs, ensuring comprehensive visibility. Users can also preview these identified transactions, assessing their relevance and impact on the application's performance before deciding to monitor them as official business transactions.
References:
AppDynamics documentation on Business Transaction Monitoring: Discusses how to manage and monitor business transactions, including the discovery and preview of new or potential transactions.
AppDynamics documentation on Business Transaction Dashboard: Explains the functionalities and features of the Business Transaction Dashboard, including transaction discovery.
質問 # 112
Which three Key Performance Indicators (KPIs) are automatically collected when you create an Information Point without adding custom data? (Choose three.)
正解：A、D、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 # 113
A Performance Analyst needs to define a special database Key Performance Indicator (KPI). Which menu options should be used?
正解：B
解説：
A database-specific KPI is created through Databases > Configuration > Custom Metrics. This area allows the Performance Analyst to define additional database measurements that are not included among the standard metrics collected by Database Visibility. A custom metric is typically based on a database query that returns a numeric value, such as queue depth, replication lag, application-specific record counts, storage utilization, or another operational indicator important to the organization.
After configuration, the Database Agent executes the metric query according to the defined collection interval and reports the resulting value to the Controller. The KPI can then be reviewed with other database metrics and incorporated into dashboards, health rules, baselines, and alerting policies.
The Metric Browser is used to inspect and analyze metrics already being collected; it is not the primary location for defining a new database custom metric. Application Instrumentation configures Application Agent transaction detection and code-level monitoring, while Slow Transaction Thresholds controls Business Transaction performance classification rather than database KPI creation.
Relevant CAAPA Study Guide topics include Database Visibility, Database Agent Configuration, Custom Database Metrics, Metric Queries, KPI Monitoring, Health Rules, and Metric Browser Analysis.
質問 # 114
In which two cases does AppDynamics start transaction snapshots? (Choose two.)
正解：A、C
解説：
AppDynamics initiates transaction snapshot collection when a Business Transaction is classified as slow, very slow, stalled, or erroneous, subject to the configured snapshot thresholds and agent collection limits. These snapshots preserve detailed diagnostic context, including call graphs, exit calls, errors, and participating tiers, allowing analysts to isolate the code path or downstream dependency responsible for degraded user experience.
AppDynamics also captures snapshots through periodic snapshot collection. Periodic collection samples transactions at configured intervals even when their performance is normal. This provides representative diagnostic evidence and enables comparison between healthy and problematic executions without requiring every transaction to violate a performance threshold.
A sudden increase in Calls per Minute does not, by itself, constitute a standard snapshot trigger. Workload surges may influence application performance, but snapshots begin only when an applicable collection mechanism or diagnostic condition is satisfied. An "asynchronous session" is also not a standard snapshot- start condition; asynchronous processing can be included within a correlated snapshot after collection has already been initiated.
Relevant CAAPA Study Guide topics include Transaction Snapshots, User Experience Classification, Slow and Error Transactions, Periodic Snapshot Collection, Call Graphs, and Snapshot Collection Thresholds.
質問 # 115
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