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Salesforce Certified Hyperautomation Specialist Exam Questions
- Salesforce Developer Certifications
- Salesforce Hyperautomation Specialist Certifications
- Topic 1: Salesforce-Hyperautomation-Specialist: This section covers identifying appropriate tools, understanding drawbacks of manual tasks, integration solutions, MuleSoft RPA processes, testing, design patterns, fault handling, reuse scenarios, and development velocity in hyperautomation.
- Topic 2: Use Composer to automate data integrations for hyperautomation: This part focuses on using Composer flows and connectors, HTTP connectors, sandbox to production transitions, flow controls, data transformation, and testing Composer flows.
- Topic 3: Design, build, and manage MuleSoft RPA processes used for hyperautomation: This section deals with evaluating, developing, deploying, triggering, monitoring, and troubleshooting RPA processes in MuleSoft RPA Manager.
- Topic 4: Use Salesforce Flow to build hyperautomation workflows: This part covers building appropriate flows, working with Einstein Bots, flow testing, connecting flows with APIs, and understanding the basics of Salesforce flows in hyperautomation.
- Topic 5: Use Anypoint platform to deliver, and manage APIs in a hyperautomation project: This section focuses on composable building blocks, API-led connectivity, functional design requirements, RAML, Anypoint Platform capabilities, and Mule application deployment options.
- Topic 6: Use Anypoint Platform to monitor hyperautomation API endpoints: This part covers managing APIs using endpoint configurations and policies and describes Anypoint Monitoring for applications and APIs.
- Topic 7: Use Anypoint Exchange to catalog (publish), share, discover, and reuse assets: This section deals with publishing assets, testing APIs using mocking service, and employing Anypoint Exchange best practices.
- Topic 8: Use Salesforce Flow Orchestrator to build parallel, multi-user, multi-step workstreams: This part focuses on combining automated workflows, customizing entry and exit conditions, assigning interactive steps, and managing Flow Orchestration.
Free Salesforce Salesforce Certified Hyperautomation Specialist Exam Actual Questions
Note: Premium Questions for Salesforce Certified Hyperautomation Specialist were last updated On Oct. 13, 2024 (see below)
What is the difference between Run and Debug modes in Flow Builder?
In Flow Builder, Run and Debug modes have distinct functionalities:
Run Mode:
Executes the flow as it is, allowing you to see the end-to-end execution based on the latest saved version.
Typically used to verify that the flow works as expected under normal conditions.
Debug Mode:
Provides detailed information for each step of the flow, including input and output data, and any errors encountered.
Useful for troubleshooting and identifying issues within the flow, allowing developers to understand how the flow executes and where problems may arise.
Debug mode is specifically designed to aid in diagnosing and fixing issues by providing a granular view of the flow's execution.
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.)
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.
MuleSoft RPA Documentation
A MuleSoft developer at AnyAirlines wants to retrieve customer data from an external system.
Before designing a new integration, what should they use to determine if the integration exists and can be reused?
To determine if an integration exists and can be reused, the MuleSoft developer should use Anypoint Exchange:
Anypoint Exchange:
Anypoint Exchange is a repository where developers can publish, share, and discover reusable assets such as APIs, connectors, templates, and examples. It serves as a centralized location for all reusable components within the MuleSoft ecosystem.
By searching Anypoint Exchange, the developer can find existing integrations or assets that might fulfill the requirements for retrieving customer data, avoiding the need to design and develop a new integration from scratch.
Anypoint Exchange Documentation
Which component of Anypoint Platform is responsible for enforcing API policies?
The component of Anypoint Platform responsible for enforcing API policies is the API Gateway:
API Gateway:
The API Gateway is a runtime component that enforces policies applied to APIs. It acts as an intermediary that manages API traffic, security, and performance by applying the policies configured in API Manager.
Policies such as rate limiting, security, transformation, and monitoring are enforced at the API Gateway to ensure that APIs are accessed securely and efficiently.
Anypoint Platform API Gateway Documentation
Northern Trail Outfitters publishes REST APIs to Anypoint Exchange. They write the REST APIs using RAML and share these APIs with internal and external users.
In which language or languages can a user download these APIs?
Users can download REST APIs published to Anypoint Exchange in the following languages:
RAML (RESTful API Modeling Language):
RAML is a modeling language for defining APIs, used by MuleSoft for creating REST APIs.
OAS (OpenAPI Specification):
OAS, also known as Swagger, is another widely-used standard for defining APIs.
MuleSoft supports both RAML and OAS formats, allowing users to choose between these two standards when downloading API definitions.
Anypoint Exchange API Documentation
MuleSoft RAML and OAS Documentation
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