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| Section | Weight | Objectives |
|---|---|---|
| MuleSoft RPA | 17% | - Integrate RPA with other tools - Process management and monitoring - Process design and bot configuration |
| Salesforce Flow | 13% | - Integrate flows with external systems - Build and optimize flows - Governor limits and performance |
| MuleSoft Composer | 12% | - Flow controls and HTTP connector usage - Data mapping, transformation and functions - Connect systems and build flows |
| Salesforce Flow Orchestration | 8% | - Manage complex processes - Design and build orchestrations - Interactive steps and approvals |
| Anypoint Exchange | 8% | - Manage assets and versions - Publish and discover assets |
| Hyperautomation Best Practices | 20% | - Testing and lifecycle management - Design principles and solution selection - Reusability and error handling strategies |
| Anypoint Platform API Management | 15% | - API management and policies - Security and governance - API design and implementation |
| Anypoint Platform Monitoring | 7% | - Troubleshoot and optimize performance - Monitor APIs and integrations |
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NEW QUESTION # 50
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 # 51
The current date and time is September 28, 2022, at 9:00 a.m.
A process running in a single Secured Session is scheduled to start September 28, 2022, at 10:00 a.m., and run every 45 minutes.
If the process takes one hour to complete when it runs for the first time, when will it run for the second time?
Answer: C
Explanation:
The process running in a single Secured Session is scheduled to start at 10:00 a.m. and run every 45 minutes. If the process takes one hour to complete the first time, it will start the next run only after the current execution finishes because it's within a single secured session:
First Run:
Scheduled to start at 10:00 a.m.
Takes 1 hour to complete, finishing at 11:00 a.m.
Next Run:
Since the first run takes 1 hour, the next execution can only start after the first one completes.
The subsequent run will then start 45 minutes after the completion of the first run, which is at 11:00 a.m. + 45 minutes = 11:45 a.m.
So, the process will run for the second time at 11:45 a.m.
MuleSoft Scheduler Documentation
NEW QUESTION # 52
AnyAirlines selected AWS Cloud services as their infrastructure platform. They need to implement Anypoint Platform as the integration solution along with existing cloud capabilities like vertical/horizontal scalability and zero downtime redeployments.
Which type of deployment strategy is needed?
Answer: C
Explanation:
* Anypoint Runtime Fabric: Anypoint Runtime Fabric (RTF) is designed for deploying Mule applications on any cloud infrastructure, including AWS. It supports vertical and horizontal scalability and enables zero-downtime deployments, which aligns with AnyAirlines' requirements.
* Vertical/Horizontal Scalability: RTF allows scaling applications both vertically (adding more resources to existing nodes) and horizontally (adding more nodes to the cluster). This ensures high availability and performance.
* Zero Downtime Deployments: RTF supports zero-downtime deployments by utilizing rolling updates and canary deployments, ensuring that updates do not disrupt ongoing operations.
* AWS Integration: RTF can be deployed on AWS, leveraging existing cloud infrastructure capabilities and providing a seamless integration experience.
NEW QUESTION # 53
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: C,D
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 # 54
Northern Trail Outfitters has deployed a MuleSoft RPA process to automate the extraction of sales data from CSV files. To integrate this RPA process with Sales Cloud, an action step is created that calls this RPA process in a MuleSoft Composer flow.
Which next step must be added to the flow to make use of the RPA process results?
Answer: D
Explanation:
To integrate an RPA process that extracts sales data from CSV files with Sales Cloud using MuleSoft Composer, you need to take the following steps:
Invoke RPA Process:
Create an action step in the MuleSoft Composer flow that calls the RPA process to extract the sales data from the CSV files.
Next Step - Create or Update Record:
After the RPA process completes and returns the extracted data, the next step in the flow should be to update Sales Cloud with the new information.
Use the Create or Update Record action to insert the new sales data into Sales Cloud. This action ensures that existing records are updated if they already exist, or new records are created if they don't.
This approach ensures that the results from the RPA process are correctly reflected in Sales Cloud.
MuleSoft Composer Documentation
Salesforce Sales Cloud Documentation
NEW QUESTION # 55
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