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Salesforce Mule-Arch-201 Exam Syllabus Topics:

Salesforce Certified MuleSoft Platform Architect Sample Questions:

1. Which layer in the API-led connectivity focuses on unlocking key systems, legacy systems, data sources etc and exposes the functionality?

A) Experience Layer
B) System Layer
C) Process Layer

2. Traffic is routed through an API proxy to an API implementation. The API proxy is managed by API Manager and the API implementation is deployed to a CloudHub VPC using Runtime Manager. API policies have been applied to this API. In this deployment scenario, at what point are the API policies enforced on incoming API client requests?

A) At the API implementation
B) At both the API proxy and the API implementation
C) At the API proxy
D) At a MuleSoft-hosted load balancer

3. A Platform Architect inherits a legacy monolithic SOAP-based web service that performs a number of tasks, including showing all policies belonging to a client. The service connects to two back-end systems - a life-insurance administration system and a general-insurance administration system - and then queries for insurance policy information within each system, aggregates the results, and presents a SOAP-based response to a user interface (UI).
The architect wants to break up the monolithic web service to follow API-led conventions.
Which part of the service should be put into the process layer?

A) Querying the data from the administration systems
B) Combining the insurance policy information from the administration systems
C) Presenting the SOAP-based response to the UI
D) Authenticating and maintaining connections to each of the back-end administration systems

4. Refer to the exhibit.

An organization uses one specific CloudHub (AWS) region for all CloudHub deployments.
How are CloudHub workers assigned to availability zones (AZs) when the organization's Mule applications are deployed to CloudHub in that region?

A) Workers are randomly distributed across available AZs within that region
B) Workers belonging to a given environment are assigned to the same AZ within that region
C) AZs are selected as part of the Mule application's deployment configuration
D) An AZ is randomly selected for a Mule application, and all the Mule application's CloudHub workers are assigned to that one AZ

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

Solutions: