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Exam MuleSoft-Integration-Architect-I Preview - 2025 MuleSoft-Integration-Architect-I: Salesforce Certified MuleSoft Integration Architect I First-grade Test Quiz

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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 Automated Tests for Mule Applications: This topic covers unit test suites, and scenarios for integration and performance testing.
Topic 3	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 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	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 6	Designing Integration Solutions to Meet Performance Requirements: This topic covers meeting performance and capacity goals, using streaming features, and processing large message sequences.
Topic 7	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 8	Designing for the Runtime Plane Technology Architecture: It includes analyzing Mule runtime clusters, designing solutions for CloudHub, choosing Mule runtime domains, leveraging Mule 4 class loader isolation, and understanding the reactive event processing model.

Salesforce Certified MuleSoft Integration Architect I Sample Questions (Q259-Q264):

NEW QUESTION # 259
A marketing organization is designing a Mule application to process campaign dat a. The Mule application will periodically check for a file in a SFTP location and process the records in the file. The size of the file can vary from 10MB to 5GB. Due to the limited availabiltty of vCores, the Mule application is deployed to a single CloudHub worker configured with vCore size 0.2.
The application must transform and send different formats of this file to three different downstream SFTP locations.
What is the most idiomatic (used for its intended purpose) and performant way to configure the SFTP operations or event sources to process the large files to support these deployment requirements?

A. Use an in-memory repeatable stream
B. Use a file-stored non-repeatable stream
C. Use a file-stored repeatable stream
D. Use an in-memory non-repeatable stream

Answer: A

NEW QUESTION # 260
According to MuteSoft, which principle is common to both Service Oriented Architecture (SOA) and API-led connectivity approaches?

A. Service reusability
B. Service interdependence
C. Service statefulness
D. Service centralization

Answer: A

Explanation:
Both Service Oriented Architecture (SOA) and API-led connectivity emphasize the principle of service reusability. This principle involves designing services and APIs in a way that they can be reused across different applications and use cases, reducing redundancy and improving efficiency. By creating reusable services, organizations can accelerate development, maintain consistency, and reduce costs associated with developing and maintaining multiple similar services.
References:
* MuleSoft's API-led Connectivity Approach
* Service-Oriented Architecture (SOA) Principles

NEW QUESTION # 261
The company's FTPS server login username and password

A. The partner's PGP public key used by the company to login to the FTPS server. A TLS context key store containing the private key for ftps.partner.com The company's PGP private key that was used to sign the files
B. The partner's PGP public key used by the company to login to the FTPS server. A TLS context key store containing the private key for the company The partner's PGP private key that was used to sign the files
C. The company's FTPS server login username and password. A TLS context trust store containing a public certificate for ftps.partner.com The partner's PGP public key that was used to sign the files
D. TLS context trust store containing a public certificate for the company. The company's PGP public key that was used to sign the files

Answer: D

NEW QUESTION # 262
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. Conduct scaled-down performance tests in the staging environment against the rate limited backend system then upscale performance results to full production scale
C. Use MUnit to simulate standard responses from the backend system then conduct performance tests to identify other bottlenecks in the system
D. 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

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 # 263
A leading bank implementing new mule API.
The purpose of API to fetch the customer account balances from the backend application and display them on the online platform the online banking platform. The online banking platform will send an array of accounts to Mule API get the account balances.
As a part of the processing the Mule API needs to insert the data into the database for auditing purposes and this process should not have any performance related implications on the account balance retrieval flow How should this requirement be implemented to achieve better throughput?

A. Implement parallel for each scope to fetch the data from the backend application and use Async scope to insert the records into the Audit database
B. Implement a try-catch scope to fetch the data from the back-end application and use the Async scope to insert records into the Audit database
C. Implement the Async scope fetch the data from the backend application and to insert records in the Audit database
D. Implement a for each scope to fetch the data from the back-end application and to insert records into the Audit database

Answer: B

Explanation:
* Try-Catch Scope for Data Fetching:
* Implement a try-catch scope to handle any errors that may occur while fetching account balances from the backend application. This ensures that the main process flow can handle exceptions gracefully without failing entirely.
* Async Scope for Inserting Records into Audit Database:
* Use the Async scope within the try-catch block to insert records into the audit database. The Async scope allows operations to be performed asynchronously, ensuring that the insertion process does not block the main thread of execution.
* By doing this, the primary flow of fetching account balances remains unaffected and can achieve higher throughput as the auditing process runs concurrently.
* Ensuring Better Throughput:
* The async processing ensures that the time-consuming database insertion for auditing purposes does not impede the performance of the main flow, which is crucial for real-time or near-real- time systems.
References:
* MuleSoft Documentation on Async Scope
* Best practices for Error Handling in MuleSoft

NEW QUESTION # 264
......

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