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| Section | Weight | Objectives |
|---|---|---|
| Automate Data Integrations with MuleSoft Composer | 12% | - Transform and manipulate data - Build flows and configure connectors - Implement flow control and logic - Test and deploy flows across environments |
| Build Hyperautomation Workflows with Salesforce Flow | 13% | - Test and debug flows - Integrate with Einstein Bots and other services - Connect flows to APIs and external data - Create and configure flows |
| Deliver and Manage APIs with Anypoint Platform | 15% | - Secure, monitor and govern APIs - Deploy and manage Mule applications - Apply API-led connectivity principles - Design and define APIs using RAML |
| Use Flow Orchestration for Complex Workflows | 13% | - Manage flow execution and state - Handle errors and exceptions - Integrate with Salesforce and external systems - Design and build orchestration flows |
| Design, Build and Manage MuleSoft RPA Processes | 17% | - Deploy and manage RPA bots - Develop and configure RPA workflows - Integrate RPA with other automation tools - Monitor and optimize RPA performance |
| Employ Hyperautomation Best Practices | 20% | - Implement error handling and fault tolerance - Design test strategies and test data for end-to-end solutions - Select appropriate tools for hyperautomation solutions - Apply design patterns for integrations and automations - Identify reuse opportunities and development approaches |
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NEW QUESTION # 37
Northern Trail Outfitters needs to update multiple systems outside of Salesforce based on record updates within Salesforce. A hyperautomation practitioner needs to configure Salesforce to call several APIs created by the MuleSoft development team from within a Salesforce flow.
What specifications must be imported into Salesforce to make external services available to a Salesforce flow that enables external invokable actions?
Answer: C
Explanation:
To enable Salesforce to call external services within a flow, the appropriate specifications must be imported to make these external services available as invokable actions. The correct specification isOpen API specifications. OpenAPI Specification (formerly known as Swagger) is a standard for defining APIs which can be easily imported into Salesforce to facilitate the integration and invocation of external services.
Import OpenAPI Specifications: Salesforce allows the import of OpenAPI specifications, which define the available endpoints and operations of an API, making them accessible as invocable actions in a Salesforce flow.
Creating External Services: By importing an OpenAPI definition into Salesforce, it creates an External Service, which you can then use within Flow to interact with the defined APIs.
Flow Integration: Once imported, these services can be integrated into Salesforce Flows to automate processes that require interaction with external systems.
Salesforce External Services and API Integrations
NEW QUESTION # 38
A Salesforce admin for AnyAirlines constructs a MuleSoft Composer flow that retrieves a record based on a unique ID using the Get Records action from a Salesforce connector. They will use the result to send a Slack message.
How can they achieve this task?
Answer: B
Explanation:
Salesforce Action Step:Start by adding a Salesforce action step that uses the Get Records action to retrieve the record based on a unique ID. This action retrieves the specific record needed.
Reference:MuleSoft Composer Salesforce Connector
Add Slack Action Step:After retrieving the record, add a Slack action step. This step will be used to send the message to Slack.
Reference:MuleSoft Composer Slack Connector
Use the Record:Use the retrieved record directly to construct the message in the Slack action step. This ensures the message contains the relevant information from the Salesforce record.
Reference:Building Messages in Composer
No Need for Collection Handling:Since the Get Records action retrieves a single record based on a unique ID, there is no need to handle collections or iterate through records.
Reference:Get Records Action
NEW QUESTION # 39
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?
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 # 40
A Salesforce administrator asks for advice on how to build their Salesforce flow. They need to complete several DML actions as part of their Salesforce flow and are running into DML governor limits during testing.
Which two pieces of advice should be given to the Salesforce administrator to improve their flow? (Choose two.)
Answer: C,D
Explanation:
Avoid DML in For Loops:Placing DML (Data Manipulation Language) operations inside a loop can quickly exceed Salesforce governor limits, as each iteration performs a separate DML operation. It's best to collect records in a list and perform DML operations outside the loop.
Reference:Salesforce Governor Limits
Use Collection Variables:By looping through a collection variable and adding records to it, you can perform bulk DML operations, which are more efficient and less likely to hit governor limits.
Reference:Apex Collections and Bulk Processing
Use Upsert Action:Using the upsert action can reduce the number of DML statements by combining insert and update operations. However, this strategy depends on the specific flow requirements and data structure.
Reference:Salesforce Upsert Operation
DML Statements at the End:Consolidating DML operations to the end of the flow is advisable, but care should be taken to handle errors and exceptions appropriately.
Reference:Error Handling in Flows
NEW QUESTION # 41
AnyAirlines is developing an RPA process to extract information from a legacy system. To capture the manual workflow, they leverage RPA Recorder.
Which two best practices should they be aware of when working with the autogenerated workflow code?
(Choose two.)
Answer: A,D
Explanation:
When developing an RPA process using RPA Recorder, it is essential to be mindful of the following best practices concerning the autogenerated workflow code:
Replace Autogenerated Code:
Robustness: Some of the autogenerated code may not be optimized for robustness or specific use cases. It is often necessary to review and replace parts of the autogenerated workflow with more robust or specialized action steps to ensure reliability and accuracy.
Specialization: Customizing the workflow to fit the specific requirements of the process can improve performance and handle exceptions better.
Remove Sensitive Information:
Sensitive Data: Autogenerated workflows might capture sensitive information such as usernames, passwords, or other confidential data. It is crucial to identify and remove or mask this information before deploying the RPA process to production to maintain security and compliance.
Compliance: Ensuring that sensitive information is handled appropriately helps in adhering to data protection regulations and organizational policies.
References:
MuleSoft RPA Documentation
NEW QUESTION # 42
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