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

Section	Weight	Objectives
Topic 1: Designing Architecture Using Integration Paradigms	30%	- Use messaging patterns and technologies - Implement event-driven architectures and message brokers - Apply API-led connectivity principles - Select appropriate integration styles - Design with web APIs and HTTP
Topic 2: Designing Integration Solutions to Meet Security Requirements	8%	- Apply authentication and authorization standards - Secure access to control plane and APIs - Design edge security using Anypoint Security - Protect data in transit and at rest
Topic 3: Designing for Runtime Plane Technology Architecture	20%	- Design for scalability, fault tolerance, and performance - Compare and select Mule runtime domains - Apply reactive event processing model - Design solutions for CloudHub - Use class loader isolation to avoid conflicts
Topic 4: Designing Integration Solutions to Meet Performance Requirements	7%	- Design for performance and capacity goals - Process large message volumes and sequences - Use streaming features effectively
Topic 5: Applying DevOps Practices and Operating Integration Solutions	14%	- Automate Anypoint Platform interactions - Implement monitoring, logging, and alerting - Manage governance and operational readiness - Design CI/CD pipelines with Mule tools
Topic 6: Initiating Integration Solutions on Anypoint Platform	8%	- Select features for API design and management - Choose appropriate deployment options - Differentiate functional and non-functional requirements - Apply MuleSoft Catalyst principles
Topic 7: Designing and Developing Mule Applications	12%	- Integrate with Salesforce and other connectors - Use core features and routers effectively - Apply best practices for maintainability - Configure application properties and environments
Topic 8: Designing Integration Solutions to Meet Reliability Requirements	11%	- Apply local and XA transaction patterns - Use error handling and scope strategies - Select transaction strategies and alternatives - Differentiate high availability and disaster recovery

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Salesforce Certified MuleSoft Integration Architect I Sample Questions (Q133-Q138):

NEW QUESTION # 133
A Mule application is built to support a local transaction for a series of operations on a single database. The mule application has a Scatter-Gather scope that participates in the local transaction.
What is the behavior of the Scatter-Gather when running within this local transaction?

A. Execution of all routes within Scatter-Gather occurs sequentially Any error that occurs inside Scatter-Gather will result in a roll back of all the database operations
B. Execution of all routes within Scatter-Gather occurs in parallel Any error that occurs inside Scatter-Gather will result in a roll back of all the database operations
C. Execution of all routes within Scatter-Gather occurs sequentially Any error that occurs inside Scatter-Gather will be handled by error handler and will not result in roll back
D. Execution of all routes within Scatter-Gather occurs in parallel Any error that occurs inside Scatter-Gather will be handled by error handler and will not result in roll back

Answer: B

NEW QUESTION # 134
Refer to the exhibit.

A business process involves the receipt of a file from an external vendor over SFTP. The file needs to be parsed and its content processed, validated, and ultimately persisted to a database. The delivery mechanism is expected to change in the future as more vendors send similar files using other mechanisms such as file transfer or HTTP POST.
What is the most effective way to design for these requirements in order to minimize the impact of future change?

A. Create an API that receives the file and invokes a Process API with the data contained In the file, then have the Process API process the data using a MuleSoft Batch Job and other System APIs as needed
B. Use a MuleSoft Scatter-Gather and a MuleSoft Batch Job to handle the different files coming from different sources
C. Use a composite data source so files can be retrieved from various sources and delivered to a MuleSoft Batch Job for processing
D. Create a Process API to receive the file and process it using a MuleSoft Batch Job while delegating the data save process to a System API

Answer: A

Explanation:
* Scatter-Gather is used for parallel processing, to improve performance. In this scenario, input files are coming from different vendors so mostly at different times. Goal here is to minimize the impact of future change. So scatter Gather is not the correct choice.
* If we use 1 API to receive all files from different Vendors, any new vendor addition will need changes to that 1 API to accommodate new requirements. So Option A and C are also ruled out.
* Correct answer is Create an API that receives the file and invokes a Process API with the data contained in the file, then have the Process API process the data using a MuleSoft Batch Job and other System APIs as needed. Answer to this question lies in the API led connectivity approach.
* API-led connectivity is a methodical way to connect data to applications through a series of reusable and purposeful modern APIs that are each developed to play a specific role - unlock data from systems, compose data into processes, or deliver an experience. System API : System API tier, which provides consistent, managed, and secure access to backend systems. Process APIs : Process APIs take core assets and combines them with some business logic to create a higher level of value. Experience APIs : These are designed specifically for consumption by a specific end-user app or device.
So in case of any future plans , organization can only add experience API on addition of new Vendors, which reuse the already existing process API. It will keep impact minimal.
Diagram Description automatically generated

NEW QUESTION # 135
A manufacturing company plans to deploy Mule applications to its own
Azure Kubernetes service infrastructure.The organization wants to make
the Mule applications more available and robust by deploying each Mule
application to an isolated Mule runtime in a Docker container while
managing all the Mule applications from the MuleSoft-hosted control plane.
What choice of runtime plane meets these organizational requirements?

A. CloudHub 2.0
B. Customer-hosted self-provisioned runtime plane
C. Anypoint Runtime Fabric
D. Anypoint Service Mesh

Answer: C

Explanation:
Anypoint Runtime Fabric is the appropriate choice for deploying Mule applications in an isolated Mule runtime within Docker containers on an Azure Kubernetes Service (AKS) infrastructure. This solution provides a containerized and orchestrated environment managed from the MuleSoft-hosted control plane. It enhances the availability, scalability, and robustness of Mule applications by allowing fine-grained control over deployments and providing built-in support for high availability and fault tolerance.
References:
* Anypoint Runtime Fabric Overview
* Deploying Mule Applications to Kubernetes

NEW QUESTION # 136
An organization has decided on a cloudhub migration strategy that aims to minimize the organizations own IT resources. Currently, the organizational has all of its Mule applications running on its own premises and uses an premises load balancer that exposes all APIs under the base URL https://api.acme.com As part of the migration strategy, the organization plans to migrate all of its Mule applications and load balancer to cloudhub What is the most straight-forward and cost effective approach to the Mule applications deployment and load balancing that preserves the public URLs?

A. For each migrated Mule application, deploy an API proxy Mule application to Cloudhub with all applications under the control of a dedicated load balancer(CLB)Update the CNAME record for api.
acme.com in the organization DNS server pointing to the A record of a cloudhub dedicated load balancer(DLB)Apply mapping rules in the DLB to map each API proxy application to its corresponding Mule applications
B. Deploy the Mule applications to CloudhubUpdate the CNAME record for an api.acme.com in the organizations DNS server pointing to the A record of a cloudhub dedicated load balancer(DLB)Apply mapping rules in the DLB to map URLs to their corresponding Mule applications
C. Deploy the Mule applications to CloudhubCreate CNAME record for api.acme.com in the Cloudhub Shared load balancer (SLB) pointing to the A record of the on-premise load balancerApply mapping rules in the SLB to map URLs to their corresponding Mule applications
D. Deploy the Mule applications to CloudhubUpdate the CNAME record for api.acme.com in the organization DNS server pointing to the A record of the cloudhub shared load balancer(SLB)Apply mapping rules in the SLB to map URLs to their corresponding Mule applications.

Answer: B

Explanation:
https://help.mulesoft.com/s/feed/0D52T000055pzgsSAA.

NEW QUESTION # 137
A Mule application is running on a customer-hosted Mule runtime in an organization's network. The Mule application acts as a producer of asynchronous Mule events. Each Mule event must be broadcast to all interested external consumers outside the Mule application. The Mule events should be published in a way that is guaranteed in normal situations and also minimizes duplicate delivery in less frequent failure scenarios.
The organizational firewall is configured to only allow outbound traffic on ports 80 and 443. Some external event consumers are within the organizational network, while others are located outside the firewall.
What Anypoint Platform service is most idiomatic (used for its intended purpose) for publishing these Mule events to all external consumers while addressing the desired reliability goals?

A. CloudHub Shared Load Balancer
B. Anypoint MQ
C. Anypoint Exchange
D. CloudHub VM queues

Answer: B

Explanation:
Set the Anypoint MQ connector operation to publish or consume messages, or to accept (ACK) or not accept (NACK) a message.
Reference: https://docs.mulesoft.com/mq/

NEW QUESTION # 138
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