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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Build Hyperautomation Workflows with Salesforce Flow | 13% | - Create and configure flows - Connect flows to APIs and external data - Test and debug flows - Integrate with Einstein Bots and other services |
| Topic 2: Design, Build and Manage MuleSoft RPA Processes | 17% | - Deploy and manage RPA bots - Monitor and optimize RPA performance - Integrate RPA with other automation tools - Develop and configure RPA workflows |
| Topic 3: Use Flow Orchestration for Complex Workflows | 13% | - Handle errors and exceptions - Manage flow execution and state - Design and build orchestration flows - Integrate with Salesforce and external systems |
| Topic 4: Deliver and Manage APIs with Anypoint Platform | 15% | - Apply API-led connectivity principles - Secure, monitor and govern APIs - Deploy and manage Mule applications - Design and define APIs using RAML |
| Topic 5: Employ Hyperautomation Best Practices | 20% | - Apply design patterns for integrations and automations - Design test strategies and test data for end-to-end solutions - Select appropriate tools for hyperautomation solutions - Identify reuse opportunities and development approaches - Implement error handling and fault tolerance |
| Topic 6: Automate Data Integrations with MuleSoft Composer | 12% | - Transform and manipulate data - Test and deploy flows across environments - Build flows and configure connectors - Implement flow control and logic |
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質問 # 43
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?
正解：A
解説：
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
質問 # 44
The MuleSoft development team at Northern Trail Outfitters creates a Mule application that interacts with several APIs and RPA processes. The team needs to share this application with other teams to help them create similar applications.
How should the Mule application be published in Anypoint Exchange to meet this requirement?
正解：D
解説：
To share a Mule application that interacts with several APIs and RPA processes with other teams for creating similar applications, publishing it as a Template asset is the best approach:
Template Asset:
A Template in Anypoint Exchange is designed to provide a reusable solution that can be easily adapted for different use cases. It includes predefined integration logic and configurations that can be used as a starting point for new projects.
By publishing the Mule application as a Template, other teams can leverage this pre-built solution, customize it to their specific needs, and ensure consistency in integration practices across the organization.
References:
Anypoint Exchange Templates Documentation
質問 # 45
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.)
正解：B、C
解説：
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
質問 # 46
AnyAirlines has an RPA process that is failing in Production.
According to best practices, how should they debug the failure?
正解：D
解説：
Download the Analysis Package:The first step is to download the analysis package from the RPA Manager.
This package contains logs and detailed execution data that are crucial for debugging.
Reference:MuleSoft RPA Manager Documentation
Revert to Build Phase:Reverting the RPA process to the Build phase allows developers to make changes and debug the process. The Build phase is where the RPA process is designed and configured.
Reference:MuleSoft RPA Lifecycle
Import to RPA Builder:Import the analysis package into RPA Builder, which is the tool used to develop and debug RPA processes. This allows for a detailed investigation and identification of the root cause of the failure.
Reference:MuleSoft RPA Builder Guide
Debugging:Use the detailed logs and execution data within RPA Builder to step through the process, identify issues, and implement fixes. This is the most effective method for diagnosing and resolving issues in RPA processes.
Reference:RPA Debugging Techniques
質問 # 47
Northern Trail Outfitters needs to develop an application network that follows a MuleSoft-recommended, API- led connectivity approach and meets the following requirements:
provides data to mobile and web interfaces
aggregates and transforms data
retrieves data from databases
In which API tier should the data aggregation and transformation take place?
正解：D
解説：
API-led Connectivity:MuleSoft's API-led connectivity approach divides APIs into three tiers: System, Process, and Experience. Each tier has a specific role in managing data and operations.
Reference:MuleSoft API-led Connectivity
Experience APIs:These APIs are designed to provide data to end-user interfaces, such as mobile and web applications. They typically format the data in a way that is easy for the user interface to consume.
Reference:Experience API Definition
Process APIs:Process APIs are responsible for orchestrating and executing business logic. They aggregate, transform, and process data from multiple sources before passing it to Experience APIs or other downstream systems.
Reference:Process API Role
System APIs:These APIs provide direct access to core systems and data sources. They handle CRUD (Create, Read, Update, Delete) operations and expose data from underlying systems.
Reference:System API Role
Data Aggregation and Transformation:Given the requirements to aggregate and transform data, the Process tier is the appropriate place. Process APIs handle complex business logic and data transformation, making them ideal for aggregating data from multiple sources and transforming it as needed.
Reference:Process APIs and Data Transformation
質問 # 48
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