The Estimator tool is primarily used for project management and planning in Pega, particularly for determining the scope and scale of development efforts:
D: A stakeholder needs to know how much time and effort is needed to build MLP2. This use case describes the fundamental function of the Estimator tool, which is to provide stakeholders with detailed estimates of time, effort, and resources required to build a specified part of an application, such as MLP2.

Calculated fields in Pega are used to compute values based on other data elements within the application, suitable for:
A: A sales representative wants to quote the cost of an insurance policy based on selected coverage options. Calculated fields can dynamically compute the total cost of an insurance policy as different coverage options are selected, providing real-time pricing information.
C: A project manager wants to estimate the cost of painting a banquet hall based on labor and materials required. Similarly, calculated fields can be used to aggregate costs of materials and labor to provide an overall estimate for a project, facilitating budget management.

In a life insurance company with satellite offices in various countries and a policy requiring that underwriting be assigned based on the policy owner's residential address, the routing must be dynamic and adaptable to the specifics of each case.
* B. Route the assignment to the correct work queue based on business logic: This approach allows for the flexibility to evaluate each policy owner's residential address and determine the appropriate satellite office work queue for assignment. By utilizing business logic, assignments can dynamically route to the correct office, ensuring compliance with company policy and efficiency in case processing.
Routing the assignment using an authority matrix (A) or a reporting structure (D) could provide structural frameworks for decision-making but might not offer the dynamic, case-by-case routing needed for this specific requirement. Routing to a specific underwriter (C) focuses on individual assignments rather than the broader need to assign work to office-specific queues based on geographic criteria.