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Mule-Dev-202 Exam Prep - Mule-Dev-202 Latest Exam Online

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Salesforce Certified MuleSoft Hyperautomation Developer Sample Questions (Q28-Q33):

NEW QUESTION # 28
The Ops team at AnyAirlines needs to periodically check the status of an API to see it the connected database is down for maintenance.
Where should the Ops team set up a scheduled API call and view the status history?

A. API Functional Monitoring
B. API Monitoring Dashboard
C. API Manager Alerts
D. API Manager Analytics

Answer: A

Explanation:
To periodically check the status of an API and see if the connected database is down for maintenance, the Ops team should use API Functional Monitoring:
API Functional Monitoring:
API Functional Monitoring allows you to set up scheduled tests and monitor the functional performance of your APIs. It can be configured to periodically make API calls and check for specific conditions, such as whether the database is down for maintenance.
Scheduled API Calls:
Set up the necessary tests within API Functional Monitoring to periodically call the API and verify its status.
These tests can be scheduled to run at regular intervals.
View Status History:
API Functional Monitoring provides a dashboard where you can view the history of these tests, including their results and any failures. This helps in tracking the availability and performance of the API over time.
References:
MuleSoft API Functional Monitoring Documentation

NEW QUESTION # 29
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. Use mocked data because non-production data is not available to MuleSoft Composer.
B. Create a connection to each of the non-production environments within the Composer Ul.
C. Install MuleSoft Composer in each of the non-production Salesforce environments.
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 # 30
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. Make a call to a health-heck endpoint, and then verity that the endpoint is still running.
B. Monitor the CloudHub worker logs for JDBC database connection exceptions.
C. Monitor the Mule worker logs for "ERROR" statements and verity that the results match expected errors.
D. Make a GET call to an existing API endpoint, and then verify that the results match expected data.

Answer: A,D

Explanation:
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.
Reference:Health Check Pattern
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.
Reference:API Monitoring Best Practices
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.
Reference:CloudHub Monitoring
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.
Reference:Error Handling and Logging

NEW QUESTION # 31
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. Replace the MuleSoft Composer integration with a three-tier API integration between Salesforce and NetSuite using Anvpoint Platform.
B. Create a MuleSoft RPA bot that updates the related account when the order is marked complete.
C. Create a record-triggered flow on the Order object that updates the related account when the order is marked complete.
D. Update the MuleSoft Composer integration to also update the related account when the order is marked complete.

Answer: C

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 # 32
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 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.
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 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.

Answer: C

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 # 33
......

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