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Salesforce Certified MuleSoft Hyperautomation Developer Sample Questions (Q15-Q20):

NEW QUESTION # 15
Northern Trail Outfitters set up a MuleSoft Composer integration between Salesforce and NetSuite that updates the Order object in Salesforce with data from NetSuite.
When an order in Salesforce is updated as complete, the Last Order Date custom field on the related account should automatically update with the date the order was marked complete.
What is the best practice to achieve this outcome?

A. Create a record-triggered flow on the Order object that updates the related account when the order is marked complete.
B. Update the MuleSoft Composer integration to also update the related account when the order is marked complete.
C. Create a MuleSoft RPA bot that updates the related account when the order is marked complete.
D. Replace the MuleSoft Composer integration with a three-tier API integration between Salesforce and NetSuite using Anvpoint Platform.

Answer: A

Explanation:
To update the Last Order Date custom field on the related account when an order is marked complete in Salesforce, the best practice is to use a record-triggered flow:
Create a Record-Triggered Flow:
Use Salesforce Flow to create a record-triggered flow on the Order object.
Set the flow to trigger when a record is updated (specifically, when the order status is updated to complete).
Update the Related Account:
In the flow, use a Get Records element to fetch the related Account record.
Use an Update Records element to update the Last Order Date custom field on the related Account with the date the order was marked complete.
This approach ensures that the data remains within Salesforce and is updated immediately as part of the same transaction, providing a robust and efficient solution.
References:
Salesforce Flow Builder Documentation

NEW QUESTION # 16
Which API policy can be applied to limit the number of requests an individual client can make to an API?

A. Spike Control
B. OAuth 2.0 access token enforcement
C. Rate limiting - SLA-Based
D. Client ID Enforcement

Answer: C

Explanation:
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.
References:
Anypoint Platform Rate Limiting Documentation

NEW QUESTION # 17
Which MuleSoft deployment strategy consists of the control plane and runtime plan hosted by the client?

A. CloudHub
B. IPrivate Cloud Edition
C. Hybrid
D. Runtime Fabric

Answer: C

Explanation:
A hybrid deployment strategy in MuleSoft involves hosting the control plane (Anypoint Platform management and design tools) in the cloud, while the runtime plane (where Mule applications run) is hosted by the client, either on-premises or in their own private cloud:
Hybrid Deployment:
The control plane is managed by MuleSoft and provides centralized management, monitoring, and deployment capabilities.
The runtime plane is hosted by the client, providing flexibility and control over where and how the Mule applications are executed, whether on-premises or in a private cloud environment.
Benefits:
This approach combines the advantages of cloud-based management with the control and customization available in on-premises or private cloud deployments, making it suitable for organizations with specific hosting and compliance requirements.
References:
MuleSoft Hybrid Deployment Documentation

NEW QUESTION # 18
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?

A. Install MuleSoft Composer in each of the non-production Salesforce environments.
B. Create a connection to each of the non-production environments within the Composer Ul.
C. Use mocked data because non-production data is not available to MuleSoft Composer.
D. Install MuleSoft Composer in only one non-production Salesforce environment and create a proxy to all other non-production environments.

Answer: B

Explanation:
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.
Reference:MuleSoft Composer Connections
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.
Reference:Composer Setup and Configuration
Using Mocked Data:Mocked data can be useful for initial testing, but connecting to actual non-production environments provides more realistic test scenarios.
Reference:Testing with Mock Data
Proxy Setup:Creating a proxy to other environments is complex and unnecessary when Composer supports direct connections.
Reference:Proxy Configuration

NEW QUESTION # 19
A non-technical employee from AnyAirlines creates a hyperautomation solution. The solution needs to meet the following criteria:
The process needs to begin when a record is created in Salesforce.
Then, it needs to pass data to a pre-existing RPA process which includes a User Task for data integrity purposes.
The output of the RPA process needs to be used to create a record in NetSuite.
According to best practices, how should this automated process be structured?

A. 1. A MuleSoft Composer flow triggers on the creation of the record and calls the RPA process.2. Then, the same flow uses the response to create a record in NetSuite.B 1. A Salesforce flow triggers on the creation of the record and calls too RPA process.2. Then, the same flow uses the response to create a record in NetSuite.
B. 1. A MuleSoft Composer flow triggers on the creation of the record and calls the RPA process.2. Then, a second MuleSoft Composer flow triggers when the RPA process is completed and creates a record in NetSuite.
C. 1. A Salesforce flow triggers on the creation of the record and makes an outbound request to a MuleSoft Composer flow.2. Then, the same MuleSoft Composer flow calls the RPA process and uses the result to create a record in NetSuite.

Answer: A

Explanation:
To structure the automated process to meet the given criteria, the following approach is recommended:
MuleSoft Composer Flow Triggers on Record Creation:
Use MuleSoft Composer to create a flow that is triggered when a new record is created in Salesforce. This is done by setting up a trigger event in MuleSoft Composer that listens for new record creation events in Salesforce.
Call the RPA Process:
Once the flow is triggered, it should call the pre-existing RPA process. MuleSoft Composer can invoke MuleSoft RPA bots, and you can pass the necessary data from the Salesforce record to the RPA process.
The RPA process will include the User Task for data integrity purposes.
Use the RPA Process Output to Create a Record in NetSuite:
After the RPA process completes, the MuleSoft Composer flow can capture the output from the RPA process.
The same MuleSoft Composer flow will then use this output to create a record in NetSuite, ensuring a seamless data transfer and process automation.
References:
MuleSoft Composer Documentation
MuleSoft RPA Documentation

NEW QUESTION # 20
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