The correct answer is B. Verify there is an Apex test that provides test coverage for the flow.
For deploying an active autolaunched flow to production, Salesforce requires flow test coverage. Salesforce documentation states that before deploying a process or autolaunched flow as active, the org must meet flow test coverage requirements, and Apex tests must cover active processes and active autolaunched flows.
A is not the main deployment consideration for making the flow active in production.
C is incorrect because Salesforce does not require 100% flow test coverage.
D is incorrect for this scenario because the requirement is to deploy it already active, not manually activate it after deployment.

Agentforce is Salesforce ' s platform for autonomous AI agents that can understand requests, reason over context, retrieve business information, determine appropriate next steps, and execute actions. Salesforce describes Agentforce agents as autonomous and proactive applications capable of taking action with or without continuous human intervention. Agents can use Salesforce CRM data and invoke flows, Apex, APIs, prompts, and other configured actions to complete business tasks. This directly matches the requirement for end-to-end customer service handling. Case Assignment Rules only route Cases. Experience Cloud with Live Chat provides customer interaction channels but does not independently reason and execute complete workflows. Einstein Bots provide conversational automation but do not represent the current autonomous agent architecture described in the scenario. Agentforce is therefore the verified answer.

The Full sandbox is the appropriate environment for final User Acceptance Testing when realistic production- scale data is required. Salesforce describes a Full sandbox as a replica of the production organization containing metadata and production data and identifies it as suitable for testing, staging, load testing, and UAT. The app builder should therefore move the developed components from the Developer sandbox to the Full sandbox, allow sales operations users to validate the commission calculations against representative Opportunity data, and deploy to production only after successful testing. Conducting UAT directly in production creates unnecessary operational risk. A Developer sandbox contains metadata but does not automatically contain production data at the required scale. Therefore, D follows the proper Salesforce application lifecycle and testing model.

The correct solution is to configure validation rules with help text/error messaging.
Validation rules are the right tool because they evaluate record data before save and stop the save when the record does not meet the defined conditions. They can enforce that a Case status is not changed back to an earlier value by using formula logic such as PRIORVALUE() and picklist checks. They can also require certain fields only when specific Case criteria are met by checking whether those fields are blank under those conditions.
Why the other options are wrong:
Dependent picklists control valid picklist values, but they do not enforce status progression or conditional required fields across all save paths. Approval processes are not the best fit for real-time save validation. Page layout required fields are UI-level requirements and are not flexible enough for criteria-based enforcement.

The correct sandbox type is Partial Copy.
A Partial Copy sandbox is built for testing with a subset of production data. Salesforce lists Partial Copy sandboxes with 5 GB data storage and a 5-day refresh interval, which supports the requirement to refresh it every weekend.
Why the other options are wrong:
Developer and Developer Pro sandboxes are mainly for development and do not copy a produc tion data subset in the same way. A Full sandbox can copy all production data, but its refresh interval is longer and it is unnecessary for a subset under 5 GB.