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Owen White Owen White

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実際的なMuleSoft-Integration-Architect-I受験体験試験-試験の準備方法-100％合格率のMuleSoft-Integration-Architect-I無料サンプル

すべての顧客の誠実な要件を考慮して、MuleSoft-Integration-Architect-Iテスト問題は、高品質の製品、思いやりのあるアフターサービスを備えた候補者に約束します。試験での99％の合格率、購入前の無料トライアル、安全なプライバシー保護など、MuleSoft-Integration-Architect-Iトレーニング資料の多くの利点がよく認識されています。お客様の視点から、最適なMuleSoft-Integration-Architect-I模擬試験へのすべてのお客様の信頼とフィードバックを大切にし、最良の選択になります。

Salesforce MuleSoft-Integration-Architect-I 認定試験の出題範囲：

トピック
出題範囲

トピック 1

Mule アプリケーションの自動テストの設計: このトピックでは、ユニットテストスイートと、統合およびパフォーマンステストのシナリオについて説明します。

トピック 2

パフォーマンス要件を満たす統合ソリューションの設計: このトピックでは、パフォーマンスと容量の目標の達成、ストリーミング機能の使用、および大規模なメッセージシーケンスの処理について説明します。

トピック 3

永続性要件を満たす統合ソリューションの設計: VM キューとコネクタ、オブジェクトストアとサービス、およびオブジェクトストアで構成されたステートフルコンポーネントの使用について説明します。

トピック 4

DevOps プラクティスの適用と統合ソリューションの運用: サブトピックは、MuleSoft プラグインを使用した CI
CD パイプラインの設計、Anypoint Platform とのやり取りの自動化、ログ記録構成の設計、Anypoint Monitoring 機能の特定に関連しています。

トピック 5

統合パラダイムを使用したアーキテクチャの設計: このトピックでは、さまざまなパラダイムを使用して高レベルの統合アーキテクチャを作成することに焦点を当てています。これには、API 主導の接続、Web API と HTTP、イベント駆動型 API、メッセージブローカー、およびメッセージングパターンとテクノロジを使用した Mule アプリケーションの設計が含まれます。

トピック 6

セキュリティ要件を満たす統合ソリューションの設計: このトピックでは、Anypoint Platform および API へのアクセスのセキュリティ保護、Anypoint Security の使用、セキュリティの脆弱性への対処、監査ログ機能の理解に重点を置いています。

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JPNTestはこのキャリアの第一人者となり、世界中の試験受験者が貴重な時間で勝利するのを助けています。 MuleSoft-Integration-Architect-I試験の長年の経験により、MuleSoft-Integration-Architect-I試験問題に明確に現れる知識を徹底的に把握しています。知っておくべきすべてのMuleSoft-Integration-Architect-I学習資料には、選択できる3つのバージョンが記載されています。 MuleSoft-Integration-Architect-I試験に変更が生じた場合、専門家はその傾向に注意を払い、絶えず新しい更新をコンパイルします。つまり、後で新しいアップデートを無料で提供します。

Salesforce Certified MuleSoft Integration Architect I 認定 MuleSoft-Integration-Architect-I 試験問題 (Q49-Q54):

質問 # 49
Refer to the exhibit.

A Mule application is being designed to be deployed to several CIoudHub workers. The Mule application's integration logic is to replicate changed Accounts from Satesforce to a backend system every 5 minutes.
A watermark will be used to only retrieve those Satesforce Accounts that have been modified since the last time the integration logic ran.
What is the most appropriate way to implement persistence for the watermark in order to support the required data replication integration logic?

A. Persistent VM Queue
B. Persistent Anypoint MQ Queue
C. Persistent Cache Scope
D. Persistent Object Store

正解：D

解説：
* An object store is a facility for storing objects in or across Mule applications. Mule uses object stores to persist data for eventual retrieval.
* Mule provides two types of object stores:
1) In-memory store - stores objects in local Mule runtime memory. Objects are lost on shutdown of the Mule runtime.
2) Persistent store - Mule persists data when an object store is explicitly configured to be persistent.
In a standalone Mule runtime, Mule creates a default persistent store in the file system. If you do not specify an object store, the default persistent object store is used.
MuleSoft Reference: https://docs.mulesoft.com/mule-runtime/3.9/mule-object-stores

質問 # 50
An organization uses a set of customer-hosted Mule runtimes that are managed using the Mulesoft-hosted control plane. What is a condition that can be alerted on from Anypoint Runtime Manager without any custom components or custom coding?

A. When the Mute runtime license installed on a Mule runtime is about to expire
B. When a Mule runtime on a given customer-hosted server is experiencing high memory consumption during certain periods
C. When an SSL certificate used by one of the deployed Mule applications is about to expire
D. When a Mule runtime's customer-hosted server is about to run out of disk space

正解：B

解説：
Correct answer is When a Mule runtime on a given customer-hosted server is experiencing high memory consumption during certain periods Using Anypoint Monitoring, you can configure two different types of alerts: Basic alerts for servers and Mule apps Limit per organization: Up to 50 basic alerts for users who do not have a Titanium subscription to Anypoint Platform You can set up basic alerts to trigger email notifications when a metric you are measuring passes a specified threshold. You can create basic alerts for the following metrics for servers or Mule apps: For on-premises servers and CloudHub apps: * CPU utilization * Memory utilization * Thread count Advanced alerts for graphs in custom dashboards in Anypoint Monitoring.
You must have a Titanium subscription to use this feature. Limit per organization: Up to 20 advanced alerts

質問 # 51
What Is a recommended practice when designing an integration Mule 4 application that reads a large XML payload as a stream?

A. The payload should be dealt with as an XML stream, without converting it to a single Java object (POJO)
B. The payload size should NOT exceed the maximum available heap memory of the Mute runtime on which the Mule application executes
C. The payload should be dealt with as a repeatable XML stream, which must only be traversed (iterated-over) once and CANNOT be accessed randomly from DataWeave expressions and scripts
D. The payload must be cached using a Cache scope If It Is to be sent to multiple backend systems

正解：B

解説：
If the size of the stream exceeds the maximum, a STREAM_MAXIMUM_SIZE_EXCEEDED error is raised.

質問 # 52
An insurance company is implementing a MuleSoft API to get inventory details from the two vendors. Due to network issues, the invocations to vendor applications are getting timed-out intermittently. But the transactions are successful upon reprocessing What is the most performant way of implementing this requirement?

A. Implement Round-Robin scope to invoke the two vendor applications on two different routes Use the Try-Catch scope to implement retry mechanism for timeout errors on each route
B. Implement a For-Each scope to invoke the two vendor applications
Use until successful scope to implement the retry mechanism for the timeout errors
C. Implement a Choice scope to invoke the two vendor applications on two different route Use the try-catch scope to implement the retry mechanism for timeout errors on each route
D. Implement a scatter-gather scope to invoke the two vendor
applications on two different route
Use the Until-Successful scope to implement the retry mechanism
for timeout errors on each route

正解：D

解説：
The most performant way to handle intermittent network issues with vendor applications and ensure successful transaction reprocessing is to use a combination of the Scatter-Gather scope and the Until- Successful scope. Here's how it works:
* Scatter-Gather Scope: This scope allows you to send requests to multiple endpoints (in this case, the two vendor applications) simultaneously. This ensures that both vendors are queried at the same time, reducing overall processing time.
* Until-Successful Scope: This scope is used to implement a retry mechanism. By wrapping each route to the vendor applications with an Until-Successful scope, the flow can automatically retry the request if a timeout error occurs. This scope retries the request until it succeeds or until a specified number of retries is reached.
Implementation Steps:
* Configure a Scatter-Gather scope in your Mule application.
* Inside each route of the Scatter-Gather scope, place an Until-Successful scope.
* Configure the Until-Successful scope with appropriate retry policies, such as retry count and delay between retries.
* Inside the Until-Successful scope, configure the HTTP request to the vendor application.
This approach ensures that:
* Both vendor applications are queried in parallel.
* Each request is retried upon timeout errors, ensuring eventual success without manual intervention.
References:
* MuleSoft Documentation: Scatter-Gather
* MuleSoft Documentation: Until-Successful Scope

質問 # 53
A mule application must periodically process a large dataset which varies from 6 GB lo 8 GB from a back- end database and write transform data lo an FTPS server using a properly configured bad job scope.
The performance requirements of an application are approved to run in the cloud hub 0.2 vCore with 8 GB storage capacity and currency requirements are met.
How can the high rate of records be effectively managed in this application?

A. Use streaming with a file storage repeatable strategy for reading records from the database and batch aggregator with streaming to write to FTPS
B. Use streaming with a file store repeatable strategy reading records from the database and batch aggregator without any required configuration
C. Use streaming with a file store repeatable strategy for reading records from the database and batch aggregator with an optimal size
D. Use streaming with an in-memory reputable store strategy for reading records from the database and batch aggregator with streaming to write to FTPS

正解：A

解説：
For handling large datasets in a Mule application, streaming is an effective strategy. Streaming allows the application to process large amounts of data in chunks, reducing memory usage and improving performance.
Using a file storage repeatable strategy for reading records from the database ensures that the data is read in manageable chunks and stored temporarily in files, which can be re-read if necessary, enhancing reliability.
The batch aggregator with streaming to write to an FTPS server ensures that data is written in chunks, aligning with the processing capabilities of the application running in CloudHub with 0.2 vCore and 8 GB storage. This configuration optimizes performance by balancing the load and managing the dataset size effectively, ensuring that the high rate of records can be processed and written to the FTPS server without overwhelming the system.
References:
* MuleSoft Documentation on Streaming
* MuleSoft Documentation on Batch Processing

質問 # 54
......

Salesforce　MuleSoft-Integration-Architect-I試験参考書を利用すれば、あなたは多くの時間を節約するだけでなく、いろいろな知識を身につけます。最も重要なのは、MuleSoft-Integration-Architect-I認定試験資格証明書を取得できるということです。また、MuleSoft-Integration-Architect-I試験参考書の合格率は高いので、MuleSoft-Integration-Architect-I試験に落ちる必要がないです。

MuleSoft-Integration-Architect-I無料サンプル: https://www.jpntest.com/shiken/MuleSoft-Integration-Architect-I-mondaishu

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