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>> MCIA-Level-1資格復習テキスト <<

MCIA-Level-1最新知識、MCIA-Level-1資格試験

これらの有用な知識をよりよく吸収するために、多くの顧客は、実践する価値のある種類のMCIA-Level-1練習資料を持ちたいと考えています。 すべてのコンテンツは明確で、MCIA-Level-1実践資料で簡単に理解できます。 リーズナブルな価格とオプションのさまざまなバージョンでアクセスできます。 すべてのコンテンツは、MCIA-Level-1試験の規制に準拠しています。 あなたが成功すると決心している限り、MCIA-Level-1学習ガイドはあなたの最善の信頼になります。

MuleSoft MCIA-Level-1 認定試験の出題範囲：

トピック出題範囲
トピック 1
  • ドメインレベルのコネクタの使用を必要とする要件を指定します
  • 復元力とパフォーマンスの高い統合ソリューションを設計します
トピック 2
  • Anypointプラットフォーム組織内での分岐とマージ
  • ビジネスグループ、役割、および権限の構成を含む、効果的なソースコード管理戦略を策定します
トピック 3
  • JMX
  • AnypointPlatformの構成とプロビジョニングを介してデフォルトで公開されるメトリックと操作を特定する
トピック 4
  • DevOpsおよびCI
  • CDの領域でさまざまなMuleSoft製品の目的を指定します
  • 正しい目的のために、AnypointプラットフォームのID管理とクライアント管理を選択します
トピック 5
  • CloudHubDLBおよびパブリックCloudHubLBの一般的で特徴的な機能と使用シナリオを特定する
  • プロトコルをネットワーク制約およびAPIレイヤーと一致させる
トピック 6
  • 統合ソリューションの運用と監視
  • SOAベースの統合アプローチを使用した統合ソリューションの一部の設計
トピック 7
  • Anypointコネクタのネットワークの設計
  • メッセージの相関が必要なシナリオを認識します
トピック 8
  • 統合の問題の説明が与えられたら、再接続戦略を使用して、最も適切な統合スタイル
  • 短期または長期の再試行の設計を特定します
トピック 9
  • 必要に応じて、必要に応じてトランスポートプロトコルとコネクタを正しく一貫して使用する
  • バッチを使用する場合の統合シナリオを特定する

MuleSoft Certified Integration Architect - Level 1 認定 MCIA-Level-1 試験問題 (Q122-Q127):

質問 # 122
An organization currently uses a multi-node Mule runtime deployment model within their datacenter, so each Mule runtime hosts several Mule applications. The organization is planning to transition to a deployment model based on Docker containers in a Kubernetes cluster. The organization has already created a standard Docker image containing a Mule runtime and all required dependencies (including a JVM), but excluding the Mule application itself.
What is an expected outcome of this transition to container-based Mule application deployments?

  • A. Guaranteed consistency of execution environments across all deployments of a Mule application
  • B. Required redesign of Mule applications to follow microservice architecture principles
  • C. Required change to the URL endpoints used by clients to send requests to the Mule applications
  • D. Required migration to the Docker and Kubernetes-based Anypoint Platform - Private Cloud Edition

正解：B

解説：
* Organization can continue using existing load balancer even if backend application changes are there. So option A is ruled out.
* As Mule runtime is within their datacenter, this model is RTF and not PCE. So option C is ruled out.
Mule runtime deployment model within their datacenter, so each Mule runtime hosts several Mule applications -- This mean PCE or Hybird not RTF - Also mentioned in Question is that - Mule runtime is hosting several Mule Application, so that also rules out RTF and as for hosting multiple Application it will have Domain project which need redesign to make it microservice architecture
--------------------------------------------------------------------------------------------------------------- Correct answer: Required redesign of Mule applications to follow microservice architecture principles


質問 # 123
An integration Mule application consumes and processes a list of rows from a CSV file. Each row must be read from the CSV file, validated, and the row data sent to a JMS queue, in the exact order as in the CSV file.
If any processing step for a row fails, then a log entry must be written for that row, but processing of other rows must not be affected.
What combination of Mule components is most idiomatic (used according to their intended purpose) when implementing the above requirements?

  • A. For Each scope
    On Error Continue scope
  • B. Scatter-Gather component
    On Error Continue scope
  • C. VM connector
    First Successful scope
    On Error Propagate scope
  • D. Async scope
    On Error Propagate scope

正解：A


質問 # 124
What metrics about API invocations are available for visualization in custom charts using Anypoint Analytics?

  • A. Request size, number of requests, JDBC Select operation response time
  • B. Request size, request HTTP verbs, response time
  • C. Request size, number of requests, JDBC Select operation result set size
  • D. Request size, number of requests, response size, response time

正解：D

解説：
Correct answer is Request size, number of requests, response size, response time Analytics API Analytics can provide insight into how your APIs are being used and how they are performing. From API Manager, you can access the Analytics dashboard, create a custom dashboard, create and manage charts, and create reports. From API Manager, you can get following types of analytics: - API viewing analytics - API events analytics - Charted metrics in API Manager It can be accessed using: http://anypoint.mulesoft.com/analytics API Analytics provides a summary in chart form of requests, top apps, and latency for a particular duration.
The custom dashboard in Anypoint Analytics contains a set of charts for a single API or for all APIs Each chart displays various API characteristics
- Requests size: Line chart representing size of requests in KBs
- Requests : Line chart representing number of requests over a period
- Response size : Line chart representing size of response in KBs
- Response time :Line chart representing response time in ms
* To check this, You can go to API Manager > Analytics > Custom Dashboard > Edit Dashboard > Create Chart > Metric
MCIA-Level-1-dd2aca088dccd5891aa2bde2a43d8bee.jpg
Reference:
Additional Information:
The default dashboard contains a set of charts
- Requests by date: Line chart representing number of requests
- Requests by location: Map chart showing the number of requests for each country of origin
- Requests by application: Bar chart showing the number of requests from each of the top five registered applications
- Requests by platform: Ring chart showing the number of requests broken down by platform


質問 # 125
An organization has defined a common object model in Java to mediate the communication between different Mule applications in a consistent way. A Mule application is being built to use this common object model to process responses from a SOAP API and a REST API and then write the processed results to an order management system.
The developers want Anypoint Studio to utilize these common objects to assist in creating mappings for various transformation steps in the Mule application.
What is the most idiomatic (used for its intended purpose) and performant way to utilize these common objects to map between the inbound and outbound systems in the Mule application?

  • A. Use the Java module
  • B. Use JAXB (XML) and Jackson (JSON) data bindings
  • C. Use the WSS module
  • D. Use the Transform Message component

正解：B


質問 # 126
A project team is working on an API implementation using the RAML definition as a starting point. The team has updated the definition to include new operations and has published a new version to exchange. Meanwhile another team is working on a mule application consuming the same API implementation.
During the development what has to be performed by the mule application team to take advantage of the newly added operations?

  • A. Scaffold API implementation application with the new definition
  • B. Update the API connector in the API implementation and publish to exchange
  • C. Scaffold the client application with the new definition
  • D. Update the REST connector from exchange in the client application

正解：D


質問 # 127
......

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MCIA-Level-1最新知識: https://www.jptestking.com/MCIA-Level-1-exam.html

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