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| Section | Weight | Objectives |
|---|---|---|
| Design, Build and Manage MuleSoft RPA Processes | 17% | - Develop and configure RPA workflows - Monitor and optimize RPA performance - Deploy and manage RPA bots - Integrate RPA with other automation tools |
| Deliver and Manage APIs with Anypoint Platform | 15% | - Apply API-led connectivity principles - Design and define APIs using RAML - Deploy and manage Mule applications - Secure, monitor and govern APIs |
| Use Flow Orchestration for Complex Workflows | 13% | - Handle errors and exceptions - Integrate with Salesforce and external systems - Manage flow execution and state - Design and build orchestration flows |
| Automate Data Integrations with MuleSoft Composer | 12% | - Transform and manipulate data - Implement flow control and logic - Test and deploy flows across environments - Build flows and configure connectors |
| Employ Hyperautomation Best Practices | 20% | - Apply design patterns for integrations and automations - Design test strategies and test data for end-to-end solutions - Identify reuse opportunities and development approaches - Implement error handling and fault tolerance - Select appropriate tools for hyperautomation solutions |
| Build Hyperautomation Workflows with Salesforce Flow | 13% | - Create and configure flows - Connect flows to APIs and external data - Integrate with Einstein Bots and other services - Test and debug flows |
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NEW QUESTION # 20
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?
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 # 21
Northern Trail Outfitters wants to create an automation which runs on a fixed schedule to enter sales data into NetSuite running as a process in the background. The business product owner chose MuleSoft Composer as the tool for this task.
The Salesforce admin wants to advise the product owner about how the MuleSoft Composer scheduling functionality works.
Which two options are available for use as the time mechanism within MuleSoft Composer? (Choose two.)
Answer: A,D
Explanation:
MuleSoft Composer provides scheduling functionality that allows you to set up automated flows to run at specified intervals. The available options for scheduling within MuleSoft Composer include:
Every 30 minutes:
This option allows you to set up a flow to run every half hour, ensuring that your automation process is executed at regular intervals throughout the day.
Every 5 minutes:
This option enables the flow to run at a higher frequency, executing the automation process every 5 minutes, which is useful for scenarios that require more frequent updates or processing.
These scheduling options ensure that you can automate tasks at the desired frequency without manual intervention.
References:
MuleSoft Composer Documentation
NEW QUESTION # 22
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?
Answer: B
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 # 23
Which MuleSoft deployment strategy consists of the control plane and runtime plan hosted by the client?
Answer: A
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 # 24
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?
Answer: A
Explanation:
To prevent an API from being overloaded, the Spike Control policy is suitable. It helps manage sudden bursts of traffic by limiting the rate at which requests are processed. Here's how it works:
Preventing Overloads:
Spike Control smooths out bursts of incoming requests by enforcing a rate limit over a short period, protecting the backend systems from being overwhelmed by excessive traffic.
Configuration:
Apply the Spike Control policy to the API to define the maximum number of requests allowed within a specific timeframe.
This ensures that the API can handle a limited number of interactions per second, preventing errors due to overload.
Implementation:
In Anypoint Platform, configure the Spike Control policy to the desired thresholds, ensuring the RPA process can handle the load effectively without errors.
References:
Anypoint Platform Spike Control Documentation
NEW QUESTION # 25
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