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Salesforce Mule-Dev-202 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: MuleSoft Composer25%- Composer Basics
  • 1. Identify the components of a Composer flow
  • 2. Describe the key features of MuleSoft Composer
  • 3. Explain the difference between triggers and actions
- Building Flows
  • 1. Add and configure actions in a flow
  • 2. Use data transformation and mapping
  • 3. Create a flow using the Composer UI
  • 4. Configure triggers for automated execution
- Error Handling and Testing
  • 1. Monitor flow execution and performance
  • 2. Test and debug Composer flows
  • 3. Implement error handling in Composer flows
Topic 2: Hyperautomation Foundations20%- MuleSoft Hyperautomation Architecture
  • 1. Describe the components of the MuleSoft Hyperautomation platform
  • 2. Identify the key capabilities of MuleSoft Composer
  • 3. Explain the role of RPA, AI, and integration in hyperautomation
- Hyperautomation Concepts and Components
  • 1. Identify use cases for hyperautomation
  • 2. Define hyperautomation and its components
  • 3. Explain the role of APIs in hyperautomation
  • 4. Describe the benefits of hyperautomation
Topic 3: RPA (Robotic Process Automation)25%- RPA Concepts
  • 1. Explain the difference between attended and unattended RPA
  • 2. Define RPA and its use cases
  • 3. Identify the benefits of RPA in hyperautomation
- MuleSoft RPA Manager
  • 1. Monitor RPA bot performance and execution
  • 2. Describe the components of MuleSoft RPA Manager
  • 3. Configure and manage RPA bots
- RPA Development
  • 1. Define automation steps and logic
  • 2. Integrate RPA with other systems and APIs
  • 3. Create RPA processes using MuleSoft RPA Builder
Topic 4: AI and Cognitive Services15%- AI Fundamentals
  • 1. Identify common AI and ML use cases
  • 2. Explain the role of AI in hyperautomation
  • 3. Describe the difference between supervised and unsupervised learning
- MuleSoft AI Tools
  • 1. Process unstructured data with AI
  • 2. Use Einstein AI capabilities within flows
  • 3. Integrate AI services using MuleSoft connectors
Topic 5: Integration and Connectivity15%- API-led Connectivity
  • 1. Design APIs for hyperautomation use cases
  • 2. Explain the three layers of API-led connectivity
  • 3. Reuse APIs across multiple automation projects
- Connectors and Integration
  • 1. Handle authentication and security
  • 2. Configure connections to third-party systems
  • 3. Use pre-built connectors in Composer and RPA

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

NEW QUESTION # 28
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 # 29
Which MuleSoft deployment strategy consists of the control plane and runtime plan hosted by the client?

Answer: D

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 # 30
Which Connected App scope should be used to connect RPA Manager with an Anypoint Platform account?

Answer: D

Explanation:
To connect RPA Manager with an Anypoint Platform account, the appropriate Connected App scope isRPA Integrator:
RPA Integrator Scope:
The RPA Integrator scope is designed to provide the necessary permissions for integrating RPA Manager with Anypoint Platform. This scope allows the connected app to interact with the RPA Manager and manage RPA processes.
Connected App Configuration:
When setting up a connected app in Anypoint Platform, select the RPA Integrator scope to ensure that the integration can access and manage the RPA processes as required.
References:
MuleSoft RPA Documentation
Anypoint Platform Connected Apps Documentation


NEW QUESTION # 31
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: B,C

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 # 32
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: D

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 # 33
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