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Salesforce MuleSoft-Integration-Architect-I Exam Overview:

Certification Vendor:Salesforce
Exam Name:Salesforce Certified MuleSoft Platform Integration Architect
Exam Number:MuleSoft-Integration-Architect-I (also known as Mule-Arch-202)
Available Languages:English, Japanese
Related Certifications:Salesforce Certified MuleSoft Hyperautomation Developer
Salesforce Certified MuleSoft Developer
Salesforce Certified MuleSoft Platform Architect
Salesforce Certified Platform Integration Architect
Salesforce Certified MuleSoft Catalyst Consultant
Exam Format:Scenario-based questions, Multiple select, Multiple choice
Passing Score:70%
Certificate Validity Period:2 years
Real Exam Qty:60–65 (including up to 5 unscored items)
Exam Duration:120 minutes
Exam Price:USD 400 + applicable taxes; JPY 60,000
Recommended Training:Salesforce Official Exam Guide
Anypoint Platform Architecture and Integration Design
Exam Registration:Salesforce Certification Registration
Sample Questions:Salesforce MuleSoft-Integration-Architect-I Sample Questions
Exam Way:Online proctored or onsite testing center; closed-book exam
Pre Condition:No mandatory prerequisites; Salesforce Certified MuleSoft Developer or equivalent experience is highly recommended
Official Syllabus URL:https://trailhead.salesforce.com/credentials/mulesoftintegrationarchitecti

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

TopicDetails
Topic 1
  • Designing Automated Tests for Mule Applications: This topic covers unit test suites, and scenarios for integration and performance testing.
Topic 2
  • Designing Integration Solutions to Meet Security Requirements: This topic emphasizes securing access to the Anypoint Platform and APIs, using Anypoint Security, counteracting security vulnerabilities, and understanding audit logging capabilities.
Topic 3
  • 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 4
  • Designing and Developing Mule Applications: It includes selecting application properties, using fundamental features, designing with core routers, understanding the Salesforce Connector, and leveraging core connectors.
Topic 5
  • Initiating Integration Solutions on Anypoint Platform: Summarizing MuleSoft Catalyst and Catalyst Knowledge Hub, differentiating between functional and non-functional requirements, selecting features for designing and managing APIs, and choosing deployment options are its sub-topics.
Topic 6
  • 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.

Salesforce Certified MuleSoft Integration Architect I Sample Questions (Q270-Q275):

NEW QUESTION # 270
A REST API is being designed to implement a Mule application.
What standard interface definition language can be used to define REST APIs?

Answer: A


NEW QUESTION # 271
What is the MuleSoft-recommended best practice to share the connector and configuration information among the APIs?

Answer: C

Explanation:
The MuleSoft-recommended best practice for sharing the connector and configuration information among multiple APIs is to use a Mule domain project. The steps are:
* Create a Mule domain project.
* Add the Database connector and its configuration to the domain project.
* Reference this domain project from each System API that needs to use the Database connector and configuration.
By using a domain project, you centralize the configuration and reuse it across multiple APIs. This approach ensures consistency, reduces duplication, and simplifies maintenance and updates to the connector configuration.
References
* MuleSoft Documentation on Domain Projects
* Best Practices for Reusable Configuration in MuleSoft


NEW QUESTION # 272
A mule application designed to fulfil two requirements
a) Processing files are synchronously from an FTPS server to a back-end database using VM intermediary queues for load balancing VM events b) Processing a medium rate of records from a source to a target system using batch job scope Considering the processing reliability requirements for FTPS files, how should VM queues be configured for processing files as well as for the batch job scope if the application is deployed to Cloudhub workers?

Answer: C

Explanation:
When processing files synchronously from an FTPS server to a back-end database using VM intermediary queues for load balancing VM events on CloudHub, reliability is critical. CloudHub persistent queues should be used for FTPS file processing to ensure that no data is lost in case of worker failure or restarts. These queues provide durability and reliability since they store messages persistently.
For the batch job scope, it is not necessary to configure additional VM queues. By default, batch jobs on CloudHub use the worker's disk for VM queueing, which is reliable for handling medium-rate records processing from a source to a target system. This approach ensures that both FTPS file processing and batch job processing meet reliability requirements without additional configuration for batch job scope.
References
* MuleSoft Documentation on CloudHub and VM Queues
* Anypoint Platform Best Practices


NEW QUESTION # 273
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?

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 # 274
A finance giant is planning to migrate all its Mule applications to Runtime fabric (RTF). Currently all Mule applications are deployed cloud hub using automated CI/CD scripts.
As an integration architect, which of the below step would you suggest to ensure that the applications from cloudhub are migrated properly to Runtime Fabric (RTF) with an assumption that organization is keen on keeping the same deployment strategy.

Answer: A


NEW QUESTION # 275
......

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