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Salesforce MuleSoft-Integration-Architect-I試験参考書、MuleSoft-Integration-Architect-I復習範囲
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Salesforce MuleSoft-Integration-Architect-I 認定試験の出題範囲:
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Salesforce Certified MuleSoft Integration Architect I 認定 MuleSoft-Integration-Architect-I 試験問題 (Q58-Q63):
質問 # 58
A gaming company has implemented an API as a Mule application and deployed the API implementation to a CloudHub 2.0 private space. The API implementation must connect to a mainframe application running in the customer's on-premises corporate data center and also to a Kafka cluster running in an Amazon AWS VPC.
What is the most efficient way to enable the API to securely connect from its private space to the mainframe application and Kafka cluster?
- A. Option C
- B. Option D
- C. In Runtime Manager, set up VPC peering between the CloudHub 2.0 private network and the on- premises data center.
In the AWS account, set up VPC peering between the AWS VPC and the CloudHub 2.0 private network.
B)
In the AWS account, attach the CloudHub 2.0 private space to an AWS transit gateway that routes from the CloudHub 2.0 private space to the on-premises data center. In Runtime Manager, configure an Anypoint VPN to route from the CloudHub 2.0 private space to the AWS VPC.
C)
In Runtime Manager, configure an Anypoint VPN to route from the CloudHub 2.0 private space to the on-premises data center. In the AWS account, attach the private..
D)
In the AWS account, attach the private space directly to the AWS VPC, In the AWS account, use an AWS transit gateway to route from the AWS VPC to the on-premises data center. - D. Option B
- E. Option A
正解:E
解説:
To enable the API to securely connect from its CloudHub 2.0 private space to both the on-premises mainframe application and the Kafka cluster in an Amazon AWS VPC, the following approach is recommended:
* AWS Transit Gateway: In the AWS account, attach the CloudHub 2.0 private space to an AWS Transit Gateway. This gateway facilitates routing between the CloudHub private space and the on-premises data center.
* Routing to On-Premises: The AWS Transit Gateway will route traffic from the CloudHub 2.0 private space to the on-premises data center, enabling secure and efficient communication.
* Anypoint VPN: In MuleSoft Runtime Manager, configure an Anypoint VPN to establish a secure connection from the CloudHub 2.0 private space to the AWS VPC where the Kafka cluster is hosted.
This VPN ensures encrypted and secure communication between CloudHub and AWS VPC.
This method uses both AWS Transit Gateway and Anypoint VPN to create a secure and efficient network setup, allowing the API to connect to both on-premises and AWS resources.
References:
* AWS Transit Gateway Documentation
* Anypoint VPN Configuration
質問 # 59
An Order microservice and a Fulfillment microservice are being designed to communicate with their dients through message-based integration (and NOT through API invocations).
The Order microservice publishes an Order message (a kind of command message) containing the details of an order to be fulfilled. The intention is that Order messages are only consumed by one Mute application, the Fulfillment microservice.
The Fulfilment microservice consumes Order messages, fulfills the order described therein, and then publishes an OrderFulfilted message (a kind of event message). Each OrderFulfilted message can be consumed by any interested Mule application, and the Order microservice is one such Mute application.
What is the most appropriate choice of message broker(s) and message destination(s) in this scenario?
- A. Order messages are sent directly to the Fulfillment microservices. OrderFulfilled messages are sent directly to the Order microservice The Order microservice interacts with one AMQP-compatible message broker and the Fulfillment microservice interacts with a different AMQP-compatible message broker, so that both message brokers can be chosen and scaled to best support the load of each microservice
- B. Order messages are sent to a JMS queue. OrderFulfilled messages are sent to a JMS topic The Order microservice interacts with one JMS provider (message broker) and the Fulfillment microservice interacts with a different JMS provider, so that both message brokers can be chosen and scaled to best support the load of each microservice
- C. Order messages are sent to a JMS queue. OrderFulfilled messages are sent to a JMS topic Both microservices interact with the same JMS provider (message broker) instance, which must therefore scale to support the load of both microservices
- D. Order messages are sent to an Anypoint MQ exchange OrderFulfilled messages are sent to an Anypoint MQ queue Both microservices interact with Anypoint MQ as the message broker, which must therefore scale to support the load of both microservices
正解:C
解説:
* If you need to scale a JMS provider/ message broker, - add nodes to scale it horizontally or - add memory to scale it vertically * Cons of adding another JMS provider/ message broker: - adds cost. - adds complexity to use two JMS brokers - adds Operational overhead if we use two brokers, say, ActiveMQ and IBM MQ * So Two options that mention to use two brokers are not best choice. * It's mentioned that "The Fulfillment microservice consumes Order messages, fulfills the order described therein, and then publishes an OrderFulfilled message. Each OrderFulfilled message can be consumed by any interested Mule application." - When you publish a message on a topic, it goes to all the subscribers who are interested - so zero to many subscribers will receive a copy of the message. - When you send a message on a queue, it will be received by exactly one consumer. * As we need multiple consumers to consume the message below option is not valid choice: "Order messages are sent to an Anypoint MQ exchange. OrderFulfilled messages are sent to an Anypoint MQ queue. Both microservices interact with Anypoint MQ as the message broker, which must therefore scale to support the load of both microservices" * Order messages are only consumed by one Mule application, the Fulfillment microservice, so we will publish it on queue and OrderFulfilled message can be consumed by any interested Mule application so it need to be published on Topic using same broker. * Correct answer:
質問 # 60
An organization is migrating all its Mule applications to Runtime Fabric (RTF). None of the Mule applications use Mule domain projects.
Currently, all the Mule applications have been manually deployed to a server group among several customer hosted Mule runtimes.
Port conflicts between these Mule application deployments are currently managed by the DevOps team who carefully manage Mule application properties files.
When the Mule applications are migrated from the current customer-hosted server group to Runtime Fabric (RTF), fo the Mule applications need to be rewritten and what DevOps port configuration responsibilities change or stay the same?
- A. NO, the Mule applications do NO need to be rewritten
DevOps NO LONGER needs to manage port conflicts between the Mule applications. - B. Yes, the Mule applications Must be rewritten
DevOps No Longer needs to manage port conflicts between the Mule applications - C. NO, The Mule applications do NOT need to be rewritten
DevOps MUST STILL manage port conflicts - D. Yes, the Mule applications Must be rewritten
DevOps Must Still Manage port conflicts.
正解:C
解説:
* Anypoint Runtime Fabric is a container service that automates the deployment and orchestration of your Mule applications and gateways.
* Runtime Fabric runs on customer-managed infrastructure on AWS, Azure, virtual machines (VMs) or bare- metal servers.
* As none of the Mule applications use Mule domain projects. applications are not required to be rewritten.
Also when applications are deployed on RTF, by default ingress is allowed only on 8081.
* Hence port conflicts are not required to be managed by DevOps team
質問 # 61
Which Mulesoft feature helps users to delegate their access without sharing sensitive credentials or giving full control of accounts to 3rd parties?
- A. client id enforcement policy
- B. Connected apps
- C. Certificates
- D. Secure Scheme
正解:B
解説:
Connected Apps
The Connected Apps feature provides a framework that enables an external application to integrate with Anypoint Platform using APIs through OAuth 2.0 and OpenID Connect. Connected apps help users delegate their access without sharing sensitive credentials or giving full control of their accounts to third parties. Actions taken by connected apps are audited, and users can also revoke access at any time. Note that some products do not currently include client IDs in this release of the Connected Apps feature. The Connected Apps feature enables you to use secure authentication protocols and control an app's access to user data. Additionally, end users can authorize the app to access their Anypoint Platform data.
Mule Ref Doc : https://docs.mulesoft.com/access-management/connected-apps-overview
質問 # 62
In one of the critical payment related mule application, transaction is being used . As an enhancement to implementation , scatter gather route is introduced which is also the part of transaction group. Scatter gather route has 4 routes.
What will be the behavior of the Mule application in case of error occurs in 4th route of the scatter-gather router and transaction needs to be rolled back?
- A. All routes will be rolled back
- B. Only errored route will be rolled back
- C. Scatter Gather router cannot be part of transaction
正解:A
解説:
*Scatter Gather: When running within a transaction, Scatter Gather does not execute in parallel. This means that the second route is executed after the first one is processed, the third after the second one, etc. In case of error, all routes will be rolled back
質問 # 63
......
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