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How to Prepare for MuleSoft MCPA - Level 1: MuleSoft Certified Platform Architect - Level 1 Exam
Preparation Guide for MuleSoft MCPA - Level 1: MuleSoft Certified Platform Architect - Level 1 Exam
Introduction
MuleSoft has a unique community and they have multiple certifications to choose from. Individuals can go ahead and appear for certification which they find suitable as per their expertise and skillset. MuleSoft also recognizes that the community is an important way to engage with its customer base.
Certification is evidence of your skills, expertise in those areas in which you like to work. If a candidate wants to work on MuleSoft MCPA - Level 1: MuleSoft Certified Platform Architect - Level 1 and prove his knowledge, Certification is offered by MuleSoft. This MuleSoft MCPA - Level 1: MuleSoft Certified Platform Architect - Level 1 Individuals Qualification Certification helps a candidate to validates his skills in MuleSoft MCPA - Level 1: MuleSoft Certified Platform Architect - Level 1. In this guide we will cover mcpa-level-1 practice exams and all the aspects of mcpa-level-1 exam dumps.
MuleSoft MCPA-Level-1 (MuleSoft Certified Platform Architect - Level 1) Certification Exam is an industry-recognized certification that validates a candidate's expertise in designing and building scalable, reliable, and secure MuleSoft applications. MuleSoft Certified Platform Architect - Level 1 certification exam is designed for architects, developers, and technical leads who have experience working with MuleSoft's Anypoint Platform. The MCPA-Level-1 exam focuses on assessing a candidate's knowledge and skills in designing and developing MuleSoft applications using Anypoint Platform.
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MuleSoft Certified Platform Architect - Level 1 Sample Questions (Q93-Q98):
NEW QUESTION # 93
The Line of Business (LoB) of an eCommerce company is requesting a process that sends automated notifications via email every time a new order is processed through the customer's mobile application or through the internal company's web application. In the future, multiple notification channels may be added: for example, text messages and push notifications.
What is the most effective API-led connectivity approach for the scenario described above?
- A. Create one Experience API for the web application and one for the mobile application.
Create a Process API to orchestrate and retrieve the email template from = database.
Create a System API that sends the email using the Anypoint Connector for Email.
Create one Experience API for the web application and one for the mobile application.
Create a Process API to orchestrate and retrieve the email template from = database.
Create a System API that sends the email using the Anypoint Connector for Email. - B. Create one Experience API for the web application and one for the mobile application, Create a Process API to orchestrate, retrieve the email template from a database, and send the email using the Anypoint Connector for Email.
- C. Create Experience APIs for both the web application and mobile application.
(Create 3 Process API to orchestrate and retrieve the email template from 2 databese.
Create a System API that sends the email using the Anypoint Connector for Email. - D. Create Experience APIs for both the web application and mobile application.
Create a Process API ta orchestrate, retrieve the email template from e database, and send the email using the Anypoint Connector for Email.
Answer: A
Explanation:
In this scenario, the best approach to satisfy the API-led connectivity principles and support future scalability is:
* Experience APIs:
* Create separate Experience APIs for the web application and the mobile application. This allows each application to have an optimized interface, supporting different needs and potential differences in request/response structures or security configurations.
* Process API:
* A single Process API can be used to orchestrate the workflow, including retrieving the email template from a database and preparing the email content. By centralizing this logic in the Process layer, we can ensure it is reusable and easily adaptable for different notification channels in the future.
* System API:
* A System API specifically designed for sending emails (using the Anypoint Connector for Email) abstracts the email-sending functionality from the business logic. This approach ensures that the email-sending function is reusable and scalable, and it can easily be extended or modified if other notification channels (like SMS or push notifications) are added later.
Why Option A is Correct:
* This structure aligns with API-led connectivity principles by separating concerns across Experience, Process, and System layers. It provides flexibility for future notification channels and isolates each layer's responsibility, making it easier to maintain and scale.
Explanation of Incorrect Options:
* Option B lacks a separate System API for sending emails, which goes against the principle of isolating back-end functionality in System APIs.
* Option C similarly lacks a dedicated System API, reducing flexibility and reusability.
* Option D suggests creating multiple Process APIs for database retrieval, which adds unnecessary complexity and does not adhere to the single-orchestration principle typically followed in API-led design.
ReferencesFor further guidance on API-led connectivity and the responsibilities of each API layer, refer to MuleSoft's documentation on API-led architecture and design best practices.
NEW QUESTION # 94
Refer to the exhibit.
what is true when using customer-hosted Mule runtimes with the MuleSoft-hosted Anypoint Platform control plane (hybrid deployment)?
- A. Anypoint Runtime Manager automatically ensures HA in the control plane by creating a new Mule runtime instance in case of a node failure
- B. The MuleSoft-hosted Shared Load Balancer can be used to load balance API invocations to the Mule runtimes
- C. API implementations can run successfully in customer-hosted Mule runtimes, even when they are unable to communicate with the control plane
- D. Anypoint Runtime Manager initiates a network connection to a Mule runtime in order to deploy Mule applications
Answer: D
NEW QUESTION # 95
How can the application of a rate limiting API policy be accurately reflected in the RAML definition of an API?
- A. By refining the request definitions by adding a remaining Requests query parameter with description, type, and example
- B. By refining the resource definitions by adding a description of the rate limiting policy behavior
- C. By refining the response definitions by adding the out-of-the-box Anypoint Platform rate-limit-enforcement securityScheme with description, type, and example
- D. By refining the response definitions by adding the x-ratelimit-* response headers with description, type, and example
Answer: D
Explanation:
Correct answer: By refining the response definitions by adding the x-ratelimit-* response headers with description, type, and example
*****************************************
References:
https://docs.mulesoft.com/api-manager/2.x/rate-limiting-and-throttling#response-headers
https://docs.mulesoft.com/api-manager/2.x/rate-limiting-and-throttling-sla-based-policies#response-headers
NEW QUESTION # 96
The implementation of a Process API must change.
What is a valid approach that minimizes the impact of this change on API clients?
- A. Postpone changes until API consumers acknowledge they are ready to migrate to a new Process API or API version
- B. Implement required changes to the Process API implementation so that whenever possible, the Process API's RAML definition remains unchanged
- C. Implement the Process API changes in a new API implementation, and have the old API implementation return an HTTP status code 301 - Moved Permanently to inform API clients they should be calling the new API implementation
- D. Update the RAML definition of the current Process API and notify API client developers by sending them links to the updated RAML definition
Answer: D
NEW QUESTION # 97
An API implementation is deployed to CloudHub.
What conditions can be alerted on using the default Anypoint Platform functionality, where the alert conditions depend on the API invocations to an API implementation?
- A. When the API invocations are not over-a- secure TLS/SSL communication channel
- B. When the number of API invocations are below a threshold
- C. When the API invocations are sent directly to the internal DNS record of the API implementation
- D. When the APL invecations originate from a geography different than the API
Answer: B
Explanation:
* Default Alert Capabilities in Anypoint Platform:
* Anypoint Platform provides out-of-the-box alerting capabilities for monitoring API invocation conditions, including setting thresholds for the number of invocations.
* Alerts can be configured for conditions such as high or low traffic (invocations exceeding or falling below a defined threshold).
* Evaluating the Options:
* Option A: Anypoint Platform does not provide direct alerting based on DNS records.
* Option B: Anypoint Platform does not provide default alerts based on whether invocations use TLS/SSL; this would require custom configuration.
* Option C: Geolocation-based alerting is not natively supported in Anypoint Platform.
* Option D (Correct Answer): Alerts based on API invocation thresholds (e.g., invocations falling below a set threshold) are supported and can be configured as part of the default Anypoint alerting functionality.
* Conclusion:
* Option D is correct, as Anypoint Platform allows configuring alerts based on the number of API invocations falling below or exceeding a threshold.
Refer to MuleSoft's documentation on Anypoint Monitoring and alert configurations for more details.
NEW QUESTION # 98
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