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Latest MCPA-Level-1 Exam Registration Exam Pass Certify | MCPA-Level-1: MuleSoft Certified Platform Architect - Level 1
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MuleSoft is a leading provider of integration software solutions that enable companies to connect applications, data, and devices across on-premises, cloud, and hybrid environments. The MuleSoft Certified Platform Architect - Level 1 (MCPA-Level-1) exam is designed to validate the skills and expertise of professionals who architect, design, and build integration solutions using the MuleSoft Anypoint Platform.
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Actual MCPA-Level-1 MuleSoft Certified Platform Architect - Level 1 Exam Questions with accurate answers
Are you planning to crack the MuleSoft MuleSoft Certified Platform Architect - Level 1 MCPA-Level-1 certification test in a short time and don't know how to prepare for it? ValidBraindumps has updated MCPA-Level-1 Dumps questions for the applicants who want to prepare for the MuleSoft MCPA-Level-1 Certification test successfully within a few days. This study material is available in three different formats that you can trust to crack the MuleSoft MCPA-Level-1 certification test with ease.
MuleSoft MCPA-Level-1 certification exam is an excellent way for professionals to demonstrate their expertise in MuleSoft technologies and gain recognition for their skills. MuleSoft Certified Platform Architect - Level 1 certification exam covers a wide range of topics, including MuleSoft architecture, integration patterns, API design, security, and performance optimization. Candidates who pass the exam are recognized as experts in MuleSoft technologies and can use this certification to advance their careers.
The MCPA-Level-1 Exam covers a wide range of topics, including Anypoint platform architecture, API-led connectivity, data transformation, message routing, security, and performance optimization. MCPA-Level-1 exam consists of 60 multiple-choice questions that must be completed within 120 minutes. To pass the exam, candidates need to score at least 70%.
MuleSoft Certified Platform Architect - Level 1 Sample Questions (Q71-Q76):
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. A default timeout of 500 ms will automatically be applied by the Mule runtime in which the upstream API implementation executes
- C. The invocation of the downstream API will run to completion without timing out
- D. An SLA for the upstream API CANNOT be provided
Answer: B
NEW QUESTION # 72
Refer to the exhibit.
A developer is building a client application to invoke an API deployed to the STAGING environment that is governed by a client ID enforcement policy.
What is required to successfully invoke the API?
- A. A valid OAuth token obtained from Anypoint Platform and its associated client ID and secret
- B. The client ID and secret obtained from Anypoint Exchange for the API instance in the STAGING environment
- C. The client ID and secret for the Anypoint Platform account owning the API in the STAGING environment
- D. The client ID and secret for the Anypoint Platform account's STAGING environment
Answer: B
Explanation:
Correct answer: The client ID and secret obtained from Anypoint Exchange for the API instance in the STAGING environment
*****************************************
>> We CANNOT use the client ID and secret of Anypoint Platform account or any individual environments for accessing the APIs
>> As the type of policy that is enforced on the API in question is "Client ID Enforcment Policy", OAuth token based access won't work.
Right way to access the API is to use the client ID and secret obtained from Anypoint Exchange for the API instance in a particular environment we want to work on.
References:
Managing API instance Contracts on API Manager
https://docs.mulesoft.com/api-manager/1.x/request-access-to-api-task
https://docs.mulesoft.com/exchange/to-request-access
https://docs.mulesoft.com/api-manager/2.x/policy-mule3-client-id-based-policies
NEW QUESTION # 73
A Mule application exposes an HTTPS endpoint and is deployed to three CloudHub workers that do not use static IP addresses. The Mule application expects a high volume of client requests in short time periods. What is the most cost-effective infrastructure component that should be used to serve the high volume of client requests?
- A. A customer-hosted load balancer
- B. The CloudHub shared load balancer
- C. An API proxy
- D. Runtime Manager autoscaling
Answer: B
Explanation:
Correct answer: The CloudHub shared load balancer
*****************************************
The scenario in this question can be split as below:
>> There are 3 CloudHub workers (So, there are already good number of workers to handle high volume of requests)
>> The workers are not using static IP addresses (So, one CANNOT use customer load-balancing solutions without static IPs)
>> Looking for most cost-effective component to load balance the client requests among the workers.
Based on the above details given in the scenario:
>> Runtime autoscaling is NOT at all cost-effective as it incurs extra cost. Most over, there are already 3 workers running which is a good number.
>> We cannot go for a customer-hosted load balancer as it is also NOT most cost-effective (needs custom load balancer to maintain and licensing) and same time the Mule App is not having Static IP Addresses which limits from going with custom load balancing.
>> An API Proxy is irrelevant there as it has no role to play w.r.t handling high volumes or load balancing.
So, the only right option to go with and fits the purpose of scenario being most cost-effective is - using a CloudHub Shared Load Balancer.
NEW QUESTION # 74
Refer to the exhibit.
A developer is building a client application to invoke an API deployed to the STAGING environment that is governed by a client ID enforcement policy.
What is required to successfully invoke the API?
- A. A valid OAuth token obtained from Anypoint Platform and its associated client ID and secret
- B. The client ID and secret obtained from Anypoint Exchange for the API instance in the STAGING environment
- C. The client ID and secret for the Anypoint Platform account owning the API in the STAGING environment
- D. The client ID and secret for the Anypoint Platform account's STAGING environment
Answer: B
Explanation:
The client ID and secret obtained from Anypoint Exchange for the API instance in the STAGING environment
*****************************************
>> We CANNOT use the client ID and secret of Anypoint Platform account or any individual environments for accessing the APIs
>> As the type of policy that is enforced on the API in question is "Client ID Enforcment Policy", OAuth token based access won't work.
Right way to access the API is to use the client ID and secret obtained from Anypoint Exchange for the API instance in a particular environment we want to work on.
References:
Managing API instance Contracts on API Manager
https://docs.mulesoft.com/api-manager/1.x/request-access-to-api-task
https://docs.mulesoft.com/exchange/to-request-access
https://docs.mulesoft.com/api-manager/2.x/policy-mule3-client-id-based-policies
NEW QUESTION # 75
Refer to the exhibit.
what is true when using customer-hosted Mule runtimes with the MuleSoft-hosted Anypoint Platform control plane (hybrid deployment)?
- A. The MuleSoft-hosted Shared Load Balancer can be used to load balance API invocations to the Mule runtimes
- B. API implementations can run successfully in customer-hosted Mule runtimes, even when they are unable to communicate with the control plane
- C. Anypoint Runtime Manager initiates a network connection to a Mule runtime in order to deploy Mule applications
- D. Anypoint Runtime Manager automatically ensures HA in the control plane by creating a new Mule runtime instance in case of a node failure
Answer: D
NEW QUESTION # 76
......
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