Salesforce Mule-Dev-202 : Salesforce Certified MuleSoft Hyperautomation Developer

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Salesforce Mule-Dev-202 Exam Syllabus Topics:

Salesforce Certified MuleSoft Hyperautomation Developer Sample Questions:

1. Northern Trail Outfitters (NTO) has a complicated process that involves several departments.
How should stages be used in Flow Orchestration to organize this process?

A) Assigning individual steps to specific users or groups that interact with the process.
B) Grouping steps of the process based on hand-offs or key branches of the process.
C) Organizing individual steps to be run in parallel to one another throughout the process.
D) Grouping steps based on the systems and tools that will be used to implement the process.

2. AnyAirlines selected AWS Cloud services as their infrastructure platform. They need to implement Anypoint Platform as the integration solution along with existing cloud capabilities like vertical/horizontal scalability and zero downtime redeployments.
Which type of deployment strategy is needed?

A) Runtime Fabric
B) Private Cloud Edition
C) Cloudhub
D) Hybrid

3. AnyAirlines needs to select a tool for developing an integration between Salesforce and an ERP system in the cloud. The requirements state that the systems must communicate bidirectionally and as close to real time as possible. The ERP system can be accessed via a SOAP-based web service.
Which tool meets the requirements of this integration?

A) MuleSoft RPA
B) Orchestrator
C) Anypoint Studio
D) MuleSoft Composer

4. AnyAirlines releases a new REST API that exposes access to an RPA process. The RPA process can only handle a limited number of interactions per second before the API begins returning errors.
Which policy should AnyAirlines apply to prevent the API from being overloaded?

A) Spike Control
B) JSON threat protection
C) Client ID Enforcement
D) Rate Limiting - SLA

5. Northern Trail Outfitters is developing an API that connects to a vendor's database.
Which two strategies should their Ops team use to monitor the overall health of the API and database using API Functional Monitoring? (Choose two.)

A) Monitor the Mule worker logs for "ERROR" statements and verity that the results match expected errors.
B) Monitor the CloudHub worker logs for JDBC database connection exceptions.
C) Make a GET call to an existing API endpoint, and then verify that the results match expected data.
D) Make a call to a health-heck endpoint, and then verity that the endpoint is still running.

Solutions: