Free MuleSoft Platform Architect I Questions for Salesforce MuleSoft Platform Architect I Exam as PDF & Practice Test Software

Answer : A

Given that the application is designed to handle only one process at a time to maintain data consistency, here's why horizontal scaling won't increase the processing limit:

Single-Process Constraint:

The application limits to processing one transaction at a time due to its design for consistency, meaning horizontal scaling (adding more workers) does not increase processing speed beyond this limit.

Execution Time:

Since each request takes 200 ms, five requests per second is the maximum processing threshold. Increasing the number of workers does not bypass this single-process limitation.

of Correct Answer (A):

The scalability remains at five requests per second, as this constraint is intrinsic to the application's design.

of Incorrect Options:

Option B suggests a change in execution time, which horizontal scaling does not affect.

Option C assumes doubling the throughput, which isn't possible due to the single-threaded nature of the application.

Option D suggests horizontal scaling cannot apply, which is incorrect; however, scaling does not increase throughput in this context.

Reference For more on understanding scaling and concurrency in Mule applications, see MuleSoft's documentation on application performance and scaling limitations.

Answer : A

In the API-led connectivity approach, each layer (System, Process, and Experience) has a distinct purpose:

System APIs: These APIs connect directly to backend systems to expose and unlock data in a standardized way.

Process APIs: These are responsible for orchestrating and processing data across different systems, combining information where needed.

Experience APIs: These are designed for specific user interfaces or applications, often transforming data formats to fit the needs of each consumer application.

Why Option A is Correct:

Process APIs are designed to combine data from multiple systems, which aligns with the function of aggregating policy information from both the life and general insurance systems. This aggregation logic would ideally reside in the Process layer, separating data retrieval from data orchestration.

Moving this functionality to the Process layer enables reusability and modularity, as other Experience APIs or services could also leverage the combined policy data if needed.

of Incorrect Options:

Option B (Presenting the SOAP-based response) would be managed by the Experience layer, as this layer adapts data formats for specific interfaces.

Option C (Authenticating and maintaining backend connections) would typically be handled within the System layer, where backend integration and security handling occurs.

Option D (Querying data) is the function of System APIs, which access the backend systems directly and expose the raw data without additional processing.

Reference For further details on API-led architecture and the roles of each layer, refer to MuleSoft's documentation on API-led connectivity and API layers.

Answer : B

When defining data models for System APIs without an established Enterprise Data Model, MuleSoft recommends mirroring the back-end systems' data types to achieve quick and effective integration without adding complexity. This approach has several benefits:

Alignment with Backend Systems:

Mirroring data types ensures consistency with backend data sources, which simplifies integration, reduces mapping requirements, and minimizes potential data transformation issues.

Flexibility for Future Enhancements:

By retaining close alignment with backend data structures, System APIs can evolve to support an Enterprise Data Model in the future without immediate restructuring.

of Incorrect Options:

Option A (exposing misspellings) is not recommended as System APIs should still ensure a professional and coherent interface.

Option C (custom naming) complicates the API structure without adding immediate value in the absence of a clear data model.

Option D (exposing all fields) is unnecessary and can reduce performance and add complexity.

Reference Refer to MuleSoft best practices for data modeling in System APIs for additional information on mirroring backend systems.

Answer : D

In API-led design, an Experience API is enhanced to improve how data is delivered to end-user applications. One primary reason to enhance an Experience API is when new data standards, such as a Canonical Data Model, are adopted. Here's why:

Canonical Data Model (CDM):

Adopting a CDM standardizes data representations across the organization, making APIs more consistent and easier to consume across various services and applications.

Updating the Experience API ensures that it delivers data in this standardized format, improving interoperability and reusability.

of Correct Answer (D):

A CDM impacts the structure and types of data the API provides, and this update would be directly relevant to an Experience API, as it is the primary point of interaction for applications.

of Incorrect Options:

Option A involves adapting to consumer-specific standards, which is against API-led design principles.

Option B involves changes in System APIs, which don't directly mandate changes to the Experience API unless data formatting adjustments are required.

Option C (IP Allowlist) relates to security rather than API design and would not motivate a functional enhancement of the API.

Reference For more details on the use of Canonical Data Models in API-led architecture, refer to MuleSoft's guidelines on data standardization and Experience API best practices.

Answer : A

In the initial meeting for establishing a Center for Enablement (C4E), it's essential to lay the foundational vision, objectives, and guiding principles for the team. Here's why this is crucial:

Clear Vision and Mission:

Defining the mission statement and objectives at the start ensures alignment within the organization and clarifies the C4E's role in supporting API-led development and integration practices.

Guiding Principles:

Establishing guiding principles will help the C4E maintain consistent practices and strategies across projects. This serves as a framework for decisions and fosters shared understanding among IT leaders and stakeholders.

of Correct Answer (A):

By prioritizing the C4E's objectives and mission, the organization builds a solid foundation, paving the way for subsequent meetings focused on technical standards, processes, and operating models.

of Incorrect Options:

Option B (API monetization) and Option C (common services best practices) are specific topics better suited for later discussions.

Option D (specifying the operating model) is an important step but typically follows the establishment of the C4E's objectives and vision.

Reference For more on C4E objectives and foundational setup, refer to MuleSoft's documentation on establishing a C4E and the roles and mission statements recommended for such initiatives.