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.)
Northern Trail Outfitters (NTO) has a complicated process that involves several departments.
How should stages be used in Flow Orchestration to organize this process?
Northern Trail Outfitters must create a near real-time inventory API that can be used within its retail POS systems, across its mobile and online stores, and by its strategic B2B e-commerce partners. The API must provide accurate and up-to-date product inventory levels. The data currently resides in both SAP and NetSuite.
According to best practices, which hyperautomation tool should be used to build this solution?
A Salesforce administrator asks for advice on how to build their Salesforce flow. They need to complete several DML actions as part of their Salesforce flow and are running into DML governor limits during testing.
Which two pieces of advice should be given to the Salesforce administrator to improve their flow? (Choose two.)
An employee at AnyAirlines uses RPA Recorder to capture actions performed when carrying out a business process automation.
How does this help expedite RPA process development?
AnyAirlines has MuleSoft Composer installed on their production Salesforce environment.
To test flows with data in multiple non-production environments, what does the hyperautomation specialist need to do?
Northern Trail Outfitters wants to create an automation which runs on a fixed schedule to enter sales data into NetSuite running as a process in the background. The business product owner chose MuleSoft Composer as the tool for this task.
The Salesforce admin wants to advise the product owner about how the MuleSoft Composer scheduling functionality works.
Which two options are available for use as the time mechanism within MuleSoft Composer? (Choose two.)
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?