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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.)
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.
Which MuleSoft deployment strategy consists of the control plane and runtime plan hosted by the client?
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.
MuleSoft Hybrid Deployment Documentation
AnyAirlines is developing an RPA process and is implementing testing best practices. They want to take the RPA process through rigorous testing.
During these tests, where do RPA process test plans execute?
During testing of an RPA process, test plans are executed on a configured RPA Bot. This allows you to simulate real-world scenarios and ensure the RPA process works correctly under various conditions:
On a Configured RPA Bot:
RPA Bots are configured to execute the automated tasks defined in the RPA process. By running test plans on these bots, you can verify the functionality and performance of the RPA process.
This approach ensures that the RPA process is thoroughly tested in an environment that closely mirrors production conditions.
MuleSoft RPA Documentation
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?
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.
Northern Trail Outfitters wants to run a bidirectional sync of data between two Salesforce orgs. They want to perform real-time updates between both systems so that if either system is updated, the other one is automatically updated with the new data.
What is the minimum number of Mute-Soft Composer flows needed to meet this requirement?
To achieve a bidirectional sync between two Salesforce orgs using MuleSoft Composer, you would need a minimum of two flows.
Flow 1: Sync from Org A to Org B: This flow monitors changes in Org A and updates Org B with the new data whenever a change occurs.
Flow 2: Sync from Org B to Org A: Similarly, this flow monitors changes in Org B and updates Org A with the new data whenever a change occurs.
This setup ensures that any change in either Salesforce org is reflected in the other, maintaining real-time synchronization between the two systems.
