What is a best practice when building System APIs?

• A.Document the API using an easily consumable asset like a RAML definition
• B.Model all API resources and methods to closely mimic the operations of the backend system
• C.Build an Enterprise Data Model (Canonical Data Model) for each backend system and apply it to System APIs
• D.Expose to API clients all technical details of the API implementation's interaction wifch the backend system

Comment: *

Name: *

Email: *

Verification: *

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.An SLA for the upstream API CANNOT be provided
• B.The invocation of the downstream API will run to completion without timing out
• C.A default timeout of 500 ms will automatically be applied by the Mule runtime in which the upstream API implementation executes
• D.A toad-dependent timeout of less than 1000 ms will be applied by the Mule runtime in which the downstream API implementation executes

Comment: *

Name: *

Email: *

Verification: *

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

Comment: *

Name: *

Email: *

Verification: *

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 B
• B.Option C
• C.Option A
• D.Option D

Comment: *

Name: *

Email: *

Verification: *

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.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.The MuleSoft-hosted Shared Load Balancer can be used to load balance API invocations to the Mule runtimes

Comment: *

Name: *

Email: *

Verification: *