TEST MULESOFT-PLATFORM-ARCHITECT-I TESTKING & MULESOFT-PLATFORM-ARCHITECT-I VALID TEST BRAINDUMPS

Test MuleSoft-Platform-Architect-I Testking & MuleSoft-Platform-Architect-I Valid Test Braindumps

Test MuleSoft-Platform-Architect-I Testking & MuleSoft-Platform-Architect-I Valid Test Braindumps

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Salesforce Certified MuleSoft Platform Architect I Sample Questions (Q114-Q119):

NEW QUESTION # 114
Select the correct Owner-Layer combinations from below options

  • A. 1. Central IT owns and focuses on Experience Layer APIs
    2. LOB IT owns and focuses on Process Layer APIs
    3. App Developers owns and focuses on System Layer APIs
  • B. 1. App Developers owns and focuses on Experience Layer APIs
    2. LOB IT owns and focuses on Process Layer APIs
    3. Central IT owns and focuses on System Layer APIs
  • C. 1. App Developers owns and focuses on Experience Layer APIs
    2. Central IT owns and focuses on Process Layer APIs
    3. LOB IT owns and focuses on System Layer APIs

Answer: B

Explanation:
Correct Answer :
1. App Developers owns and focuses on Experience Layer APIs
2. LOB IT owns and focuses on Process Layer APIs
3. Central IT owns and focuses on System Layer APIs

Reference:
https://blogs.mulesoft.com/biz/api/experience-api-ownership/
https://blogs.mulesoft.com/biz/api/process-api-ownership/
https://blogs.mulesoft.com/biz/api/system-api-ownership/


NEW QUESTION # 115
A company requires Mule applications deployed to CloudHub to be isolated between non-production and production environments. This is so Mule applications deployed to non-production environments can only access backend systems running in their customer-hosted non-production environment, and so Mule applications deployed to production environments can only access backend systems running in their customer-hosted production environment. How does MuleSoft recommend modifying Mule applications, configuring environments, or changing infrastructure to support this type of per-environment isolation between Mule applications and backend systems?

  • A. Create non-production and production environments in different Anypoint Platform business groups
  • B. Configure firewall rules in the infrastructure inside each customer-hosted environment so that only IP addresses from the corresponding Anypoint Platform environments are allowed to communicate with corresponding backend systems
  • C. Modify properties of Mule applications deployed to the production Anypoint Platform environments to prevent access from non-production Mule applications
  • D. Create separate Anypoint VPCs for non-production and production environments, then configure connections to the backend systems in the corresponding customer-hosted environments

Answer: D

Explanation:
Correct Answer : Create separate Anypoint VPCs for non-production and production environments, then configure connections to the backend systems in the corresponding customer-hosted environments.
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>> Creating different Business Groups does NOT make any difference w.r.t accessing the non-prod and prod customer-hosted environments. Still they will be accessing from both Business Groups unless process network restrictions are put in place.
>> We need to modify or couple the Mule Application Implementations with the environment. In fact, we should never implements application coupled with environments by binding them in the properties. Only basic things like endpoint URL etc should be bundled in properties but not environment level access restrictions.
>> IP addresses on CloudHub are dynamic until unless a special static addresses are assigned. So it is not possible to setup firewall rules in customer-hosted infrastrcture. More over, even if static IP addresses are assigned, there could be 100s of applications running on cloudhub and setting up rules for all of them would be a hectic task, non-maintainable and definitely got a good practice.
>> The best practice recommended by Mulesoft (In fact any cloud provider), is to have your Anypoint VPCs seperated for Prod and Non-Prod and perform the VPC peering or VPN tunneling for these Anypoint VPCs to respective Prod and Non-Prod customer-hosted environment networks.
Reference:

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NEW QUESTION # 116
A developer from the Central IT team has created an initial version of the RAML definition in Design Center for an OAuth 2.0-protected System API and published it to Exchange. Another developer from LoB IT discovered the System API in Exchange and would like to leverage it in the Process API.
What is the MuleSoft-recommended approach for Process API to invoke the System API?

  • A. The Process API uses property YAML files to store the System API URLs and uses the HTTP Request Connector to invoke the Systerm API
  • B. The Process APL uses the REST Connect Connector autogenerated in Exchange for the System API
  • C. The Process API manually updates the Process API POM file to include the System API as a dependency
  • D. The Process API needs to import an CAuth 2.0 module from Exchange first and update it with OAuth 2.0 credentials before the System API can be invoked

Answer: B

Explanation:
In MuleSoft's ecosystem, when a Process API needs to consume a System API (published to Exchange and protected by OAuth 2.0), the recommended approach is to utilize the REST Connect Connector. Here's how it aligns with best practices:
Automated Connector Generation:
When a RAML or OAS specification is published in Exchange, MuleSoft automatically generates a REST Connect Connector for that API. This connector simplifies integration as it abstracts the complexity of making HTTP requests and handling OAuth authentication.
Streamlined Integration:
The Process API can import this generated connector from Exchange and configure OAuth credentials, streamlining secure access to the System API without manual HTTP setup.
Why Option C is Correct:
Using the REST Connect Connector directly leverages MuleSoft's automated tooling, minimizing manual configurations and ensuring a more maintainable integration.
of Incorrect Options:
Option A (importing an OAuth module) is unnecessary; OAuth is handled within the connector's configuration.
Option B (property YAML files with HTTP requests) involves manual setup, which is more error-prone and not recommended.
Option D (manually updating POM file) does not directly aid in invoking an API through Exchange.
Reference
For more information on using REST Connect Connectors and OAuth integration in MuleSoft, refer to the MuleSoft documentation on API Management and Connectors.


NEW QUESTION # 117
An organization makes a strategic decision to move towards an IT operating model that emphasizes consumption of reusable IT assets using modern APIs (as defined by MuleSoft).
What best describes each modern API in relation to this new IT operating model?

  • A. Each modem API must be treated like a product and designed for a particular target audience (for instance, mobile app developers)
  • B. Each modern API has its own software development lifecycle, which reduces the need for documentation and automation
  • C. Each modern API must be REST and HTTP based
  • D. Each modern API must be easy to consume, so should avoid complex authentication mechanisms such as SAML or JWT D

Answer: A

Explanation:
Correct Answers:
1. Each modern API must be treated like a product and designed for a particular target audience (for instance mobile app developers)
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NEW QUESTION # 118
A retail company is using an Order API to accept new orders. The Order API uses a JMS queue to submit orders to a backend order management service. The normal load for orders is being handled using two (2) CloudHub workers, each configured with 0.2 vCore. The CPU load of each CloudHub worker normally runs well below 70%. However, several times during the year the Order API gets four times (4x) the average number of orders. This causes the CloudHub worker CPU load to exceed 90% and the order submission time to exceed 30 seconds. The cause, however, is NOT the backend order management service, which still responds fast enough to meet the response SLA for the Order API. What is the MOST resource-efficient way to configure the Mule application's CloudHub deployment to help the company cope with this performance challenge?

  • A. Permanently increase the number of CloudHub workers by four times (4x) to eight (8) CloudHub workers
  • B. Use a horizontal CloudHub autoscaling policy that triggers on CPU utilization greater than 70%
  • C. Permanently increase the size of each of the two (2) CloudHub workers by at least four times (4x) to one (1) vCore
  • D. Use a vertical CloudHub autoscaling policy that triggers on CPU utilization greater than 70%

Answer: B

Explanation:
Correct Answer : Use a horizontal CloudHub autoscaling policy that triggers on CPU utilization greater than 70%
*****************************************
The scenario in the question is very clearly stating that the usual traffic in the year is pretty well handled by the existing worker configuration with CPU running well below 70%. The problem occurs only "sometimes" occasionally when there is spike in the number of orders coming in.
So, based on above, We neither need to permanently increase the size of each worker nor need to permanently increase the number of workers. This is unnecessary as other than those "occasional" times the resources are idle and wasted.
We have two options left now. Either to use horizontal Cloudhub autoscaling policy to automatically increase the number of workers or to use vertical Cloudhub autoscaling policy to automatically increase the vCore size of each worker.
Here, we need to take two things into consideration:
1. CPU
2. Order Submission Rate to JMS Queue
>> From CPU perspective, both the options (horizontal and vertical scaling) solves the issue. Both helps to bring down the usage below 90%.
>> However, If we go with Vertical Scaling, then from Order Submission Rate perspective, as the application is still being load balanced with two workers only, there may not be much improvement in the incoming request processing rate and order submission rate to JMS queue. The throughput would be same as before. Only CPU utilization comes down.
>> But, if we go with Horizontal Scaling, it will spawn new workers and adds extra hand to increase the throughput as more workers are being load balanced now. This way we can address both CPU and Order Submission rate.
Hence, Horizontal CloudHub Autoscaling policy is the right and best answer.


NEW QUESTION # 119
......

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