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The MCPA-Level-1 exam is the first step in the MuleSoft Certified Platform Architect certification program. It validates the candidate's skills and expertise in designing and building scalable, efficient, and robust MuleSoft solutions that meet business requirements. To prepare for the exam, candidates should have a strong understanding of MuleSoft architecture, API-led connectivity, and integration patterns. They should also have hands-on experience working with MuleSoft and take advantage of the training courses and resources offered by MuleSoft.
MuleSoft MCPA-Level-1 (MuleSoft Certified Platform Architect - Level 1) Exam is a certification program designed for professionals who possess the knowledge and skills required to design and implement effective solutions using MuleSoft's Anypoint Platform. MuleSoft Certified Platform Architect - Level 1 certification exam is designed to test the proficiency of candidates in various areas, such as API design, Mule runtime, Anypoint Studio, and deployment management. The MCPA-Level-1 Exam is a comprehensive assessment of a candidate's knowledge and expertise in MuleSoft integration, and it is recognized as a benchmark for professionals in the field.
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MuleSoft MCPA-Level-1, also known as MuleSoft Certified Platform Architect - Level 1, is a certification exam that validates the skills and knowledge of candidates in designing and architecting MuleSoft applications. MCPA-Level-1 Exam is designed to test the ability of candidates to design and implement MuleSoft solutions in complex enterprise environments. It is an important certification for professionals who want to demonstrate their expertise in MuleSoft architecture and design.
MuleSoft Certified Platform Architect - Level 1 Sample Questions (Q67-Q72):
NEW QUESTION # 67
What is a key requirement when using an external Identity Provider for Client Management in Anypoint Platform?
- A. The application network must include System APIs that interact with the Identity Provider
- B. APIs managed by Anypoint Platform must be protected by SAML 2.0 policies
- C. To invoke OAuth 2.0-protected APIs managed by Anypoint Platform, API clients must submit access tokens issued by that same Identity Provider
- D. Single sign-on is required to sign in to Anypoint Platform
Answer: C
Explanation:
https://www.folkstalk.com/2019/11/mulesoft-integration-and-platform.html Explanation:
To invoke OAuth 2.0-protected APIs managed by Anypoint Platform, API clients must submit access tokens issued by that same Identity Provider
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>> It is NOT necessary that single sign-on is required to sign in to Anypoint Platform because we are using an external Identity Provider for Client Management
>> It is NOT necessary that all APIs managed by Anypoint Platform must be protected by SAML 2.0 policies because we are using an external Identity Provider for Client Management
>> Not TRUE that the application network must include System APIs that interact with the Identity Provider because we are using an external Identity Provider for Client Management Only TRUE statement in the given options is - "To invoke OAuth 2.0-protected APIs managed by Anypoint Platform, API clients must submit access tokens issued by that same Identity Provider" References:
https://docs.mulesoft.com/api-manager/2.x/external-oauth-2.0-token-validation-policy
https://blogs.mulesoft.com/dev/api-dev/api-security-ways-to-authenticate-and-authorize/
NEW QUESTION # 68
Question 10: Skipped
An API implementation returns three X-RateLimit-* HTTP response headers to a requesting API client. What type of information do these response headers indicate to the API client?
- A. The remaining capacity allowed by the API implementation
- B. The HTTP response size
- C. The error codes that result from throttling
- D. A correlation ID that should be sent in the next request
Answer: A
Explanation:
The remaining capacity allowed by the API implementation.
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Reference:https://docs.mulesoft.com/api-manager/2.x/rate-limiting-and-throttling-sla-based-policies#response-he
NEW QUESTION # 69
Refer to the exhibit.
A RAML definition has been proposed for a new Promotions Process API, and has been published to Anypoint Exchange.
The Marketing Department, who will be an important consumer of the Promotions API, has important requirements and expectations that must be met.
What is the most effective way to use Anypoint Platform features to involve the Marketing Department in this early API design phase?
A)Ask the Marketing Department to interact with a mocking implementation of the API using the automatically generated API Console
B)Organize a design workshop with the DBAs of the Marketing Department in which the database schema of the Marketing IT systems is translated into RAML
C) Use Anypoint Studio to Implement the API as a Mule application, then deploy that API implementation to CloudHub and ask the Marketing Department to interact with it
D)Export an integration test suite from API designer and have the Marketing Department execute the tests In that suite to ensure they pass
- A. Option A
- B. Option D
- C. Option C
- D. Option B
Answer: A
Explanation:
Ask the Marketing Department to interact with a mocking implementation of the API using the automatically generated API Console.
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As per MuleSoft's IT Operating Model:
>> API consumers need NOT wait until the full API implementation is ready.
>> NO technical test-suites needs to be shared with end users to interact with APIs.
>> Anypoint Platform offers a mocking capability on all the published API specifications to Anypoint Exchange which also will be rich in documentation covering all details of API functionalities and working nature.
>> No needs of arranging days of workshops with end users for feedback.
API consumers can use Anypoint Exchange features on the platform and interact with the API using its mocking feature. The feedback can be shared quickly on the same to incorporate any changes.
NEW QUESTION # 70
What is a typical result of using a fine-grained rather than a coarse-grained API deployment model to implement a given business process?
- A. A better response time for the end user as a result of the APIs being smaller in scope and complexity.
- B. An overall lower usage of resources because each fine-grained API consumes less resources.
- C. A decrease in the number of connections within the application network supporting the business process.
- D. A higher number of discoverable API-related assets in the application network.
Answer: A
NEW QUESTION # 71
When designing an upstream API and its implementation, the development team has been advised to NOT set timeouts when invoking a downstream API, because that downstream API has no SLA that can be relied upon. This is the only downstream API dependency of that upstream API.
Assume the downstream API runs uninterrupted without crashing. What is the impact of this advice?
- A. A toad-dependent timeout of less than 1000 ms will be applied by the Mule runtime in which the downstream API implementation executes
- B. An SLA for the upstream API CANNOT be provided
- C. A default timeout of 500 ms will automatically be applied by the Mule runtime in which the upstream API implementation executes
- D. The invocation of the downstream API will run to completion without timing out
Answer: B
Explanation:
An SLA for the upstream API CANNOT be provided.
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>> First thing first, the default HTTP response timeout for HTTP connector is 10000 ms (10 seconds). NOT
500 ms.
>> Mule runtime does NOT apply any such "load-dependent" timeouts. There is no such behavior currently in Mule.
>> As there is default 10000 ms time out for HTTP connector, we CANNOT always guarantee that the invocation of the downstream API will run to completion without timing out due to its unreliable SLA times.
If the response time crosses 10 seconds then the request may time out.
The main impact due to this is that a proper SLA for the upstream API CANNOT be provided.
NEW QUESTION # 72
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