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| Section | Weight | Objectives |
|---|---|---|
| Employ Hyperautomation Best Practices | 20% | - Design test strategies and test data for end-to-end solutions - Implement error handling and fault tolerance - Select appropriate tools for hyperautomation solutions - Identify reuse opportunities and development approaches - Apply design patterns for integrations and automations |
| 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 |
| Design, Build and Manage MuleSoft RPA Processes | 17% | - Monitor and optimize RPA performance - Develop and configure RPA workflows - Deploy and manage RPA bots - Integrate RPA with other automation tools |
| Deliver and Manage APIs with Anypoint Platform | 15% | - Deploy and manage Mule applications - Design and define APIs using RAML - Apply API-led connectivity principles - Secure, monitor and govern APIs |
| Use Flow Orchestration for Complex Workflows | 13% | - Handle errors and exceptions - Design and build orchestration flows - Integrate with Salesforce and external systems - Manage flow execution and state |
| Automate Data Integrations with MuleSoft Composer | 12% | - Build flows and configure connectors - Test and deploy flows across environments - Transform and manipulate data - Implement flow control and logic |
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NEW QUESTION # 58
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: A,C
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 # 59
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: 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 # 60
Northern Trail Outfitters evaluates multiple standards for the exit criteria of a stage in their Flow Orchestration. Based on their criteria, they want the flow to go down one of three paths.
How should this be built in Flow Orchestration to meet this requirement?
Answer: C
Explanation:
To implement branching logic based on multiple criteria in Flow Orchestration, you can use the following approach:
Evaluation Flow Returns a Number Variable:
Create an evaluation flow that assesses the exit criteria for the current stage and returns a number variable indicating which path to take (e.g., 1, 2, or 3).
Decision Element:
Use a decision element in Flow Orchestration to evaluate the number variable returned by the evaluation flow.
Based on the value of the variable, the decision element will determine which path to execute next.
This approach allows for clear and maintainable branching logic, ensuring that the flow can proceed down one of three paths based on the defined criteria.
References:
Salesforce Flow Orchestration Documentation
NEW QUESTION # 61
Northern Trail Outfitters (NTO) has outgrown its custom Extract-Transform-Load (ETL) solution and needs to migrate its ETL jobs to a new tool. One of the requirements is a single interface to view and manage the ETL jobs. Some of these ETL jobs interact with systems that are hosted on-premises.
According to Salesforce's hyperautomation best practices, how should Salesforce's various hyperautomation solutions be combined to meet NTO's requirements?
Answer: A
Explanation:
To meet NTO's requirements of migrating ETL jobs and managing them efficiently, the following approach is recommended:
Migrate Simple Integrations to MuleSoft Composer:
MuleSoft Composer is suitable for simple transformations and straightforward data integrations that do not require complex logic or custom coding. This allows non-technical users to manage and automate these processes easily.
Migrate Complex Integrations to Anypoint Platform:
For more complex integrations that involve intricate business logic, large data volumes, or require advanced features like error handling, use Anypoint Platform. Anypoint Platform provides robust capabilities for building, deploying, and managing APIs and integrations.
Use Anypoint Exchange:
Anypoint Exchange serves as a centralized repository for all API assets, including those created using Composer and Anypoint Platform. It provides a single interface to view, manage, and share API integrations.
This approach leverages the strengths of both tools and ensures that all API integrations are efficiently managed and monitored.
References:
Anypoint Platform Documentation
Anypoint Exchange Documentation
NEW QUESTION # 62
An RPA developer is building the implementation of an RPA process based on the BPMN created by a colleague. In the BPMN, they see the symbol below:
What does the symbol represent?
Answer: D
Explanation:
Symbol Meaning:The symbol shown is a diamond with an "X" inside, which represents an exclusive gateway in BPMN (Business Process Model and Notation). This gateway is used to control the flow of the process based on certain conditions or circumstances.
Reference:BPMN Gateway Types
Exclusive Gateway:An exclusive gateway routes the process flow into one of several paths based on conditions defined within the process model. Only one path is taken out of the gateway.
Reference:Exclusive Gateway Explanation
Usage in Process:When an exclusive gateway is encountered, the process evaluates the conditions on each outgoing sequence flow and chooses the path that meets the conditions. This ensures different activities are performed based on different circumstances.
Reference:BPMN Exclusive Gateway
NEW QUESTION # 63
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