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Get All Salesforce Certified MuleSoft Hyperautomation Developer Exam Questions with Validated Answers
| Vendor: | Salesforce |
|---|---|
| Exam Code: | Salesforce-Hyperautomation-Specialist |
| Exam Name: | Salesforce Certified MuleSoft Hyperautomation Developer |
| Exam Questions: | 60 |
| Last Updated: | August 20, 2026 |
| Related Certifications: | Salesforce Developer, Hyperautomation Specialist |
| Exam Tags: | Specialist Salesforce DevelopersSalesforce ArchitectsSalesforce Senior administratorsConsultants |
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The customer support team at Northern Trail Outfitters manages and maintains customer service cases using Service Cloud. The team collaborates with other stakeholders such as the sales, product, and technical support teams to resolve cases using Slack.
The team needs to use a MuleSoft Composer flow to automatically trigger when a case is created or modified in Service Cloud with notifications in Slack. Based on these specific case requirements, the team routes the cases to the sales, product, or the technical support team.
What flow component must the customer support team use to route the cases?
To route cases based on specific criteria to different teams (sales, product, or technical support) using MuleSoft Composer, the Switch/Case component is the most appropriate choice:
Create a MuleSoft Composer Flow:
Start by creating a flow in MuleSoft Composer that triggers when a case is created or modified in Service Cloud.
Use the Switch/Case Component:
Add a Switch/Case component to the flow. This component allows you to define multiple conditions and route the flow based on these conditions.
Define the different case routing criteria (e.g., case type, priority) within the Switch/Case component. For each case, specify the condition that determines which team the case should be routed to.
Configure Notifications in Slack:
For each case defined in the Switch/Case component, configure the corresponding actions to send notifications to the appropriate Slack channels.
The Switch/Case component enables complex conditional logic, making it ideal for routing cases to different teams based on predefined criteria.
MuleSoft Composer Documentation
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.)
Health-Check Endpoint: Creating and regularly calling a health-check endpoint is a common strategy to ensure that the API and its underlying systems are operational. This endpoint typically performs basic checks such as database connectivity and service availability.
GET Call to Existing Endpoint: Making a GET call to an existing API endpoint and verifying that the results match expected data helps ensure that the API is not only running but also functioning correctly. This approach validates that the API can retrieve data from the database as intended.
Monitoring CloudHub Worker Logs: While monitoring logs can be useful, it is more of a reactive approach. Proactive strategies like health-check endpoints and GET calls provide immediate validation of the API's operational status.
Verifying Mule Worker Logs for Errors: This approach can complement health-check endpoints and GET calls but should not be the primary strategy. Logs are helpful for diagnosing issues after they occur rather than ensuring ongoing health.
AnyAirlines has MuleSoft Composer installed on their production Salesforce environment.
To test flows with data in multiple non-production environments, what does the hyperautomation specialist need to do?
Create Connections: To test flows with data in multiple non-production environments, creating connections to each environment within the MuleSoft Composer UI is necessary. This allows the Composer to access and manipulate data across different environments, ensuring comprehensive testing.
Installing Composer in Non-Production Environments: While installing Composer in each environment is technically possible, creating individual connections is more efficient and aligns with best practices.
Using Mocked Data: Mocked data can be useful for initial testing, but connecting to actual non-production environments provides more realistic test scenarios.
Proxy Setup: Creating a proxy to other environments is complex and unnecessary when Composer supports direct connections.
For a MuleSoft Composer flow, errors can be noted in its Flow Details page.
What other way can MuleSoft Composer send notifications when errors occur?
MuleSoft Composer provides a way to handle errors and notify users when something goes wrong in a flow. Aside from viewing errors on the Flow Details page, MuleSoft Composer can also send notifications to alert users about the errors.
Flow Error Handling: When an error occurs in a MuleSoft Composer flow, the error is logged and visible on the Flow Details page.
Email Notifications: MuleSoft Composer can be configured to send notifications to a specified email address. This allows users to be promptly informed of any issues without having to constantly monitor the Flow Details page.
Configuration: This can be set up in the MuleSoft Composer settings, where an email address can be configured to receive these notifications.
Which API policy can be applied to limit the number of requests an individual client can make to an API?
The Rate Limiting - SLA-Based policy in Anypoint Platform is designed to control the number of requests an individual client can make to an API. This policy is highly configurable and allows you to set specific limits based on service level agreements (SLAs).
Rate Limiting - SLA-Based:
This policy helps protect APIs from being overwhelmed by too many requests by enforcing a limit on the number of requests a client can make within a specified time frame.
You can define different rate limits for different tiers of clients, ensuring fair usage and protecting backend services.
Anypoint Platform Rate Limiting Documentation
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