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Salesforce MuleSoft-Integration-Architect-I Exam Syllabus Topics:

Topic	Details
Topic 1	Applying DevOps Practices and Operating Integration Solutions: Its sub-topics are related to designing CI CD pipelines with MuleSoft plugins, automating interactions with Anypoint Platform, designing logging configurations, and identifying Anypoint Monitoring features.
Topic 2	Designing Integration Solutions to Meet Persistence Requirements: It addresses the usage of VM queues and connectors, object stores and services, and stateful components configured with object stores.
Topic 3	Designing Integration Solutions to Meet Reliability Requirements: It includes selecting alternatives to traditional transactions, recognizing the purpose of various scopes and strategies, differentiating disaster recovery and high availability, and using local and XA transactions.
Topic 4	Designing Integration Solutions to Meet Performance Requirements: This topic covers meeting performance and capacity goals, using streaming features, and processing large message sequences.
Topic 5	Designing Automated Tests for Mule Applications: This topic covers unit test suites, and scenarios for integration and performance testing.

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Salesforce Certified MuleSoft Integration Architect I Sample Questions (Q126-Q131):

NEW QUESTION # 126
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. Required migration to the Docker and Kubernetes-based Anypoint Platform - Private Cloud Edition
B. Required change to the URL endpoints used by clients to send requests to the Mule applications
C. Required redesign of Mule applications to follow microservice architecture principles
D. Guaranteed consistency of execution environments across all deployments of a Mule application

Answer: C

Explanation:
* 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
--------------------------------------------------------------------------------------------------------------- Required redesign of Mule applications to follow microservice architecture principles

NEW QUESTION # 127
Refer to the exhibit.

A Mule application is deployed to a multi-node Mule runtime cluster. The Mule application uses the competing consumer pattern among its cluster replicas to receive JMS messages from a JMS queue. To process each received JMS message, the following steps are performed in a flow:
Step l: The JMS Correlation ID header is read from the received JMS message.
Step 2: The Mule application invokes an idempotent SOAP webservice over HTTPS, passing the JMS Correlation ID as one parameter in the SOAP request.
Step 3: The response from the SOAP webservice also returns the same JMS Correlation ID.
Step 4: The JMS Correlation ID received from the SOAP webservice is validated to be identical to the JMS Correlation ID received in Step 1.
Step 5: The Mule application creates a response JMS message, setting the JMS Correlation ID message header to the validated JMS Correlation ID and publishes that message to a response JMS queue.
Where should the Mule application store the JMS Correlation ID values received in Step 1 and Step 3 so that the validation in Step 4 can be performed, while also making the overall Mule application highly available, fault-tolerant, performant, and maintainable?

A. The Correlation ID value in Step 1 should be stored in a persistent object store The Correlation ID value in step 3 should be stored as a Mule event variable/attribute
B. Both Correlation ID values should be stored in a persistent object store
C. Both Correlation ID values should be stored as Mule event variable/attribute
D. Both Correlation ID values should be stored In a non-persistent object store

Answer: A

Explanation:
* If we store Correlation id value in step 1 as Mule event variables/attributes, the values will be cleared after server restart and we want system to be fault tolerant.
* The Correlation ID value in Step 1 should be stored in a persistent object store.
* We don't need to store Correlation ID value in Step 3 to persistent object store. We can store it but as we also need to make application performant. We can avoid this step of accessing persistent object store.
* Accessing persistent object stores slow down the performance as persistent object stores are by default stored in shared file systems.
* As the SOAP service is idempotent in nature. In case of any failures , using this Correlation ID saved in first step we can make call to SOAP service and validate the Correlation ID.
Top of Form
Additional Information:
* Competing Consumers are multiple consumers that are all created to receive messages from a single Point-to-Point Channel. When the channel delivers a message, any of the consumers could potentially receive it. The messaging system's implementation determines which consumer actually receives the message, but in effect the consumers compete with each other to be the receiver. Once a consumer receives a message, it can delegate to the rest of its application to help process the message.

* In case you are unaware about term idempotent re is more info:
Idempotent operations means their result will always same no matter how many times these operations are invoked.

Bottom of Form

NEW QUESTION # 128
A leading e-commerce giant will use Mulesoft API's on runtime fabric (RTF) to process customer orders. Some customer's sensitive information such as credit card information is also there as a part of a API payload.
What approach minimizes the risk of matching sensitive data to the original and can convert back to the original value whenever and wherever required?

A. manager to detokenize the masking format to return the original value
B. create a tokenization format and apply a tokenization policy to the API Gateway
C. Used both masking and tokenization
D. Apply a field level encryption policy in the API Gateway
E. Apply masking to hide the sensitive information and then use API

Answer: E

NEW QUESTION # 129
Why would an Enterprise Architect use a single enterprise-wide canonical data model (CDM) when designing an integration solution using Anypoint Platform?

A. To leverage a data abstraction layer that shields existing Mule applications from nonbackward compatible changes to the model's data structure
B. To reduce dependencies when integrating multiple systems that use different data formats
C. To remove the need to perform data transformation when processing message payloads in Mule applications
D. To automate Al-enabled API implementation generation based on normalized backend databases from separate vendors

Answer: B

NEW QUESTION # 130
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.

Answer: C

Explanation:
* 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

NEW QUESTION # 131
......

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