2025 EFFICIENT MCPA-LEVEL-1 EXAMS COLLECTION | MCPA-LEVEL-1 100% FREE VALID TEST PDF

2025 Efficient MCPA-Level-1 Exams Collection | MCPA-Level-1 100% Free Valid Test Pdf

2025 Efficient MCPA-Level-1 Exams Collection | MCPA-Level-1 100% Free Valid Test Pdf

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MuleSoft Certified Platform Architect - Level 1 Sample Questions (Q35-Q40):

NEW QUESTION # 35
An Order API must be designed that contains significant amounts of integration logic and involves the invocation of the Product API.
The power relationship between Order API and Product API is one of "Customer/Supplier", because the Product API is used heavily throughout the organization and is developed by a dedicated development team located in the office of the CTO.
What strategy should be used to deal with the API data model of the Product API within the Order API?

  • A. Implement an anti-corruption layer in the Order API that transforms the Product API data model into internal data types of the Order API
  • B. Work with the API data types of the Product API directly when implementing the integration logic of the Order API such that the Order API uses the same (unchanged) data types as the Product API
  • C. Convince the development team of the Product API to adopt the API data model of the Order API such that the integration logic of the Order API can work with one consistent internal data model
  • D. Start an organization-wide data modeling initiative that will result in an Enterprise Data Model that will then be used in both the Product API and the Order API

Answer: A


NEW QUESTION # 36
A client has several applications running on the Salesforce service cloud. The business requirement for integration is to get daily data changes from Account and Case Objects. Data needs to be moved to the client's private cloud AWS DynamoDB instance as a single JSON and the business foresees only wanting five attributes from the Account object, which has 219 attributes (some custom) and eight attributes from the Case Object.
What design should be used to support the API/ Application data model?

  • A. Request client's AWS project team to replicate all the attributes and create Account and Case JSON table in DynamoDB. Then create separate entities for Account and Case Objects by mimicking all the attributes in SAPI to transfer ISON data to DynamoD for respective Objects
  • B. Create separate entities for Account with five attributes and Case with eight attributes in SAPI, which are combined by the PAPI to provide JSON output containing 13 attributes.
  • C. Create separate entities for Account and Case Objects by mimicking all the attributes in SAPI, which are combined by the PAPI and filtered to provide JSON output containing 13 attributes.
  • D. Start implementing an Enterprise Data Model by defining enterprise Account and Case Objects and implement SAPI and DynamoDB tables based on the Enterprise Data Model,

Answer: B

Explanation:
* Understanding the Requirements:
* The business needs to transfer daily data changes from the Salesforce Account and Case objects to AWS DynamoDB in a single JSON format.
* Only a subset of attributes (5 from Account and 8 from Case) is required, so it is not necessary to include all 219 attributes of the Account object.
* Design Approach:
* A System API (SAPI) should be created for each Salesforce object (Account and Case), exposing only the required fields (5 attributes for Account and 8 for Case).
* A Process API (PAPI) can be used to aggregate and transform the data from these SAPIs, combining the 13 selected attributes from Account and Case into a single JSON structure for DynamoDB.
* Evaluating the Options:
* Option A: Mimicking all attributes in the SAPI is inefficient and unnecessary, as only 13 attributes are required.
* Option B: Replicating all attributes in DynamoDB is excessive and would result in higher storage and processing costs, which is unnecessary given the requirement for only a subset of attributes.
* Option C: Implementing an Enterprise Data Model could be useful in broader data management but is not required here, as the focus is on a lightweight integration.
* Option D (Correct Answer): Creating separate entities in SAPI for Account and Case with only the required attributes and using the PAPI to aggregate them into a single JSON is the most efficient and meets the requirements effectively.
* Conclusion:
* Option D is the best choice as it provides a lightweight, efficient design that meets the requirements by transferring only the necessary attributes and minimizing resource use.
Refer to MuleSoft's best practices for API-led connectivity and data modeling to structure SAPIs and PAPIs efficiently.


NEW QUESTION # 37
Which of the following best fits the definition of API-led connectivity?

  • A. API-led connectivity is a technology which enabled us to implement Experience, Process and System layer based APIs
  • B. API-led connectivity is a 3-layered architecture covering Experience, Process and System layers
  • C. API-led connectivity is not just an architecture or technology but also a way to organize people and processes for efficient IT delivery in the organization

Answer: C

Explanation:
Correct answer: API-led connectivity is not just an architecture or technology but also a way to organize people and processes for efficient IT delivery in the organization.
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Reference:


NEW QUESTION # 38
A code-centric API documentation environment should allow API consumers to investigate and execute API client source code that demonstrates invoking one or more APIs as part of representative scenarios.
What is the most effective way to provide this type of code-centric API documentation environment using Anypoint Platform?

  • A. Make relevant APIs discoverable via an Anypoint Exchange entry
  • B. Create API Notebooks and include them in the relevant Anypoint Exchange entries
  • C. Enable mocking services for each of the relevant APIs and expose them via their Anypoint Exchange entry
  • D. Ensure the APIs are well documented through their Anypoint Exchange entries and API Consoles and share these pages with all API consumers

Answer: B

Explanation:
Create API Notebooks and Include them in the relevant Anypoint exchange entries
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>> API Notebooks are the one on Anypoint Platform that enable us to provide code-centric API documentation


NEW QUESTION # 39
A Platinum customer uses the U.S. control plane and deploys applications to CloudHub in Singapore with a default log configuration.
The compliance officer asks where the logs and monitoring data reside?

  • A. Logs and monitoring data are held in the United States
  • B. Logs are held in the United States and monitoring data is held in Singapore
  • C. Logs and monitoring data are held in Singapore
  • D. Logs are held in:Singapore and monitoring data is held in the United States

Answer: A

Explanation:
For applications deployed on CloudHub in a foreign region (e.g., Singapore), MuleSoft handles log and monitoring data in the region where the control plane resides. This data storage policy is standard for CloudHub deployments to maintain centralized log and monitoring data.
* Data Location:
* For a U.S.-based control plane, all logs and monitoring data are stored in the United States, regardless of the deployment region.
* Although the application itself runs in Singapore, data related to application performance and logs is not localized to the deployment region.
* Explanation of Correct Answer (B):
* Since the control plane is based in the United States, all operational data like logs and monitoring will also be stored there, ensuring compliance with MuleSoft's data handling policies.
* Explanation of Incorrect Options:
* Option A and D are incorrect because MuleSoft does not store logs or monitoring data in the application deployment region when the control plane is located in the United States.
* Option C suggests mixed storage, which does not align with MuleSoft's data policy structure.
ReferencesFor details on data residency in CloudHub deployments, refer to MuleSoft's documentation on CloudHub control planes and data handling policies.


NEW QUESTION # 40
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