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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Hyperautomation Best Practices | 20% | - Design principles and solution selection - Testing and lifecycle management - Reusability and error handling strategies |
| Topic 2: Anypoint Platform API Management | 15% | - Security and governance - API management and policies - API design and implementation |
| Topic 3: Anypoint Platform Monitoring | 7% | - Troubleshoot and optimize performance - Monitor APIs and integrations |
| Topic 4: MuleSoft Composer | 12% | - Flow controls and HTTP connector usage - Connect systems and build flows - Data mapping, transformation and functions |
| Topic 5: Anypoint Exchange | 8% | - Manage assets and versions - Publish and discover assets |
| Topic 6: MuleSoft RPA | 17% | - Integrate RPA with other tools - Process management and monitoring - Process design and bot configuration |
| Topic 7: Salesforce Flow Orchestration | 8% | - Design and build orchestrations - Interactive steps and approvals - Manage complex processes |
| Topic 8: Salesforce Flow | 13% | - Integrate flows with external systems - Governor limits and performance - Build and optimize flows |
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NEW QUESTION # 44
Which API policy can be applied to limit the number of requests an individual client can make to an API?
Answer: D
Explanation:
The Rate Limiting - SLA-Based policy in Anypoint Platform is designed to control the number of requests an individual client can make to an API. This policy is highly configurable and allows you to set specific limits based on service level agreements (SLAs).
Rate Limiting - SLA-Based:
This policy helps protect APIs from being overwhelmed by too many requests by enforcing a limit on the number of requests a client can make within a specified time frame.
You can define different rate limits for different tiers of clients, ensuring fair usage and protecting backend services.
Anypoint Platform Rate Limiting Documentation
NEW QUESTION # 45
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: C,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.
MuleSoft RPA Documentation
NEW QUESTION # 46
Any Airlines is developing a new integration and wants built-in automated testing.
Which tool must be used to satisfy this requirement?
Answer: B
Explanation:
To implement built-in automated testing for new integrations at Any Airlines, the Anypoint Platform is the appropriate tool.
Anypoint Platform Capabilities:
Automated Testing: Anypoint Platform includes various tools such as MUnit for automated testing of Mule applications. MUnit allows developers to create, design, and run tests natively within Anypoint Studio.
Test Automation Features: It supports comprehensive testing features including unit tests, integration tests, and mock services to ensure robust and reliable integrations.
Continuous Integration and Deployment: Anypoint Platform can be integrated with CI/CD pipelines, allowing automated tests to run as part of the deployment process, ensuring that any new code changes do not break existing functionality.
Why Not Other Options:
MuleSoft RPA: Primarily used for automating repetitive manual tasks, not for testing integrations.
MuleSoft Composer: Focuses on low-code integrations and automation, not specifically designed for automated testing.
Flow Orchestration: While useful for process automation within Salesforce, it does not provide the testing capabilities required for MuleSoft integrations.
For detailed information on automated testing with Anypoint Platform and MUnit, refer to the official MuleSoft documentation
NEW QUESTION # 47
AnyAirlines wants to create a new marketing campaign that sends customers special offers every month based on their accrued loyalty points. There is an existing integration for customer data using MuleSoft's API-led three-tier strategy. Loyalty information exists in an external system that can be accessed via an HTTP endpoint provided by the system, but has no current integration. The external ID used will be email address.
The desired output is a CSV file containing customers that includes only the top 10 percent of loyalty point holders.
What is the most efficient way to meet this requirement?
Answer: D
Explanation:
* Develop System API for Loyalty System: The first step is to develop a new System API that integrates with the Loyalty system. This API will handle communication with the external system via the provided HTTP endpoint.
* Utilize Existing Customer System API: Use the existing System API for customer data to retrieve necessary customer information. Combining these APIs ensures a modular approach and reuse of existing assets.
* Create Process API: Develop a Process API that combines data from both the Customer and Loyalty System APIs. This API will process the data, apply business logic to filter the top 10 percent of loyalty point holders, and format the results.
* Create Experience API: Develop an Experience API to serve the business consumers. This API will provide a user-friendly interface for initiating the integration and retrieving the results as a CSV file.
NEW QUESTION # 48
Northern Trail Outfitters is developing an API that connects to a vendor's database.
Which two strategies should their Ops team use to monitor the overall health of the API and database using API Functional Monitoring? (Choose two.)
Answer: B,C
Explanation:
* Health-Check Endpoint: Creating and regularly calling a health-check endpoint is a common strategy to ensure that the API and its underlying systems are operational. This endpoint typically performs basic checks such as database connectivity and service availability.
* GET Call to Existing Endpoint: Making a GET call to an existing API endpoint and verifying that the results match expected data helps ensure that the API is not only running but also functioning correctly. This approach validates that the API can retrieve data from the database as intended.
* Monitoring CloudHub Worker Logs: While monitoring logs can be useful, it is more of a reactive approach. Proactive strategies like health-check endpoints and GET calls provide immediate validation of the API's operational status.
* Verifying Mule Worker Logs for Errors: This approach can complement health-check endpoints and GET calls but should not be the primary strategy. Logs are helpful for diagnosing issues after they occur rather than ensuring ongoing health.
NEW QUESTION # 49
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