Summer Special - Limited Time 65% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: top65certs

Changed MuleSoft-Platform-Architect-I Exam Questions

Salesforce Certified MuleSoft Platform Architect 1 Exam (SU24) Questions and Answers

Question 13

A set of tests must be performed prior to deploying API implementations to a staging environment. Due to data security and access restrictions, untested APIs cannot be granted access to the backend systems, so instead mocked data must be used for these tests. The amount of available mocked data and its contents is sufficient to entirely test the API implementations with no active connections to the backend systems. What type of tests should be used to incorporate this mocked data?

Options:

A.

Integration tests

B.

Performance tests

C.

Functional tests (Blackbox)

D.

Unit tests (Whitebox)

Question 14

What is a key requirement when using an external Identity Provider for Client Management in Anypoint Platform?

Options:

A.

Single sign-on is required to sign in to Anypoint Platform

B.

The application network must include System APIs that interact with the Identity Provider

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.

APIs managed by Anypoint Platform must be protected by SAML 2.0 policies

Question 15

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

Options:

A.

Experience Layer

B.

Process Layer

C.

System Layer

Question 16

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?

Options:

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%