3 Formats of Salesforce MuleSoft-Integration-Architect-I Dumps that Suit your Study Style

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

Topic	Details
Topic 1	Designing Architecture Using Integration Paradigms: This topic focuses on creating high-level integration architectures using various paradigms. It includes API-led connectivity, web APIs and HTTP, event-driven APIs, and message brokers, and designing Mule application using messaging patterns and technologies.
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 Performance Requirements: This topic covers meeting performance and capacity goals, using streaming features, and processing large message sequences.
Topic 4	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 5	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 6	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 (Q62-Q67):

NEW QUESTION # 62
An organization's governance process requires project teams to get formal approval from all key stakeholders for all new Integration design specifications. An integration Mule application Is being designed that interacts with various backend systems. The Mule application will be created using Anypoint Design Center or Anypoint Studio and will then be deployed to a customer-hosted runtime.
What key elements should be included in the integration design specification when requesting approval for this Mule application?

A. SLAs and non-functional requirements to access the backend systems
B. The credentials to access the backend systems and contact details for the administrator of each system
C. Snapshots of the Mule application's flows, including their error handling
D. A list of current and future consumers of the Mule application and their contact details

Answer: A

Explanation:
SLAs and non-functional requirements to access the backend systems. Only this option actually speaks to design parameters and reqs. * Below two are technical implementations and not the part of design: - Snapshots of the Mule application's flows, including their error handling - The credentials to access the backend systems and contact details for the administrator of each system * List of consumers is not relevant to the design

NEW QUESTION # 63
Refer to the exhibit.

One of the backend systems invoked by an API implementation enforces rate limits on the number of requests a particular client can make. Both the backend system and the API implementation are deployed to several non-production environments in addition to production.
Rate limiting of the backend system applies to all non-production environments. The production environment, however, does NOT have any rate limiting.
What is the most effective approach to conduct performance tests of the API implementation in a staging (non- production) environment?

A. Create a mocking service that replicates the backend system's production performance characteristics.
Then configure the API implementation to use the mocking service and conduct the performance tests
B. Use MUnit to simulate standard responses from the backend system then conduct performance tests to identify other bottlenecks in the system
C. Include logic within the API implementation that bypasses invocations of the backend system in a performance test situation. Instead invoking local stubs that replicate typical backend system responses then conduct performance tests using this API Implementation
D. Conduct scaled-down performance tests in the staging environment against the rate limited backend system then upscale performance results to full production scale

Answer: A

Explanation:
Correct answer is Create a mocking service that replicates the backend system's production performance characteristics. Then configure the API implementation to use the mocking service and conduct the performance tests
* MUnit is for only Unit and integration testing for APIs and Mule apps. Not for performance Testing, even if it has the ability to Mock the backend.
* Bypassing the backend invocation defeats the whole purpose of performance testing. Hence it is not a valid answer.
* Scaled down performance tests cant be relied upon as performance of API's is not linear against load.

NEW QUESTION # 64
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.

A. No changes need to be made to POM.xml file and CI/CD script should be modified as per the RTF configurations
B. runtimeFabric dependency should be added as a mule plug-in to POM.xml file and CI/CD script should be modified as per the RTF configurations
C. runtimeFabric deployment should be added to POM.xml file in all
the mule applications and CI/CD script should be modified as per the RTF configurations
D. runtimeFabric profile should be added mule configuration files in the mule applications and CI/CD script should be modified as per the RTF configurations

Answer: C

NEW QUESTION # 65
As an enterprise architect, what are the two reasons for which you would use a canonical data model in the new integration project using Mulesoft Anypoint platform ( choose two answers )

A. Because the model isolates the back and systems and support mule applications from change
B. To isolate areas within a bounded context
C. To incorporate industry standard data formats
D. To have consistent data structure aligned in processes
E. There are multiple canonical definitions of each data type

Answer: A,D

Explanation:
A canonical data model is used in integration projects to provide a standard way of representing data across different systems and applications. The two main reasons for using a canonical data model are:
A: To have a consistent data structure aligned in processes: By using a canonical data model, you ensure that data is represented uniformly across all processes and systems. This consistency simplifies data integration, reduces transformation logic, and minimizes errors.
E: Because the model isolates the back-end systems and supports Mule applications from change: A canonical data model abstracts the underlying data structures of the back-end systems. This isolation means that changes in the back-end systems do not directly affect the Mule applications. The applications interact with the canonical model, and any required transformations are handled centrally, making the system more adaptable to changes.
Implementation Steps:
* Design the Canonical Data Model:
* Identify the common data elements and structures used across different systems.
* Define a unified schema that represents these elements in a consistent manner.
* Implement Data Transformation Logic:
* Use MuleSoft DataWeave to transform data between the canonical model and the specific formats required by each system.
* Centralize the transformation logic to simplify maintenance and updates.
* Integrate with Mule Applications:
* Ensure all Mule applications use the canonical data model for data exchange.
* Modify existing applications to transform data to and from the canonical model.
Using a canonical data model improves data consistency and system flexibility, making it a valuable approach in integration projects.
References:
* MuleSoft Documentation: DataWeave
* MuleSoft Documentation: Integration Best Practices

NEW QUESTION # 66
An IT integration delivery team begins a project by gathering all of the requirements, and proceeds to execute the remaining project activities as sequential, non-repeating phases.
Which IT project delivery methodology is this team following?

A. Kanban
B. Scrum
C. Agile
D. Waterfall

Answer: D

Explanation:
The described approach of gathering all requirements upfront and proceeding through sequential, non- repeating phases is characteristic of the Waterfall methodology. Waterfall is a linear project management approach where each phase must be completed before the next one begins, and there is typically no going back to a previous phase once it is completed. This methodology is well-suited for projects with well-defined requirements and deliverables, but it can be inflexible if changes or new requirements arise during the project.
References:
* Waterfall Model
* Waterfall vs. Agile: Which is the Right Development Methodology for Your Project?

NEW QUESTION # 67
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3 Formats of Salesforce MuleSoft-Integration-Architect-I Dumps that Suit your Study Style

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

Authorized MuleSoft-Integration-Architect-I Certification & MuleSoft-Integration-Architect-I Cert Guide

Salesforce Certified MuleSoft Integration Architect I Sample Questions (Q62-Q67):

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