According to the Oracle SCM Business Process Certified Foundations Associate Rel 2 document1, work order details, transaction history, and IoT insights are three work order attributes that are displayed on the History tab. The History tab is a page in Oracle SCM Cloud that shows the historical information about a work order. Work order details are attributes that describe the basic information about a work order, such as status, priority, quantity, start date, end date, etc. Transaction history is a list of transactions that have been performed for a work order, such as material issues, returns, transfers, adjustments; resource charges; output completions; scrap reports; etc. IoT insights are analytics that provide insights into the performance of a work order based on data collected from Internet of Things (IoT) devices connected to machines or products.

According to the Oracle Supply Planning Cloud User Guide2, while defining a supply plan, a planning administrator can select any of the four forecast process options, which include forecast spreading (B), forecast consumption ©, sales order explosion (D), and past due demands based on plan option values (E). Forecast spreading is the option to spread forecast demand across time periods based on a predefined pattern. Forecast consumption is the option to consume forecast demand by sales orders or other sources of demand. Sales order explosion is the option to explode sales orders into their component demands based on the bill of materials. Past due demands based on plan option values is the option to include or exclude past due demands in a supply plan based on the plan option settings. Past due demands based on supply network model (A) is not a forecast process option, but rather a supply network model parameter that determines how past due demands are handled in a supply network model.

According to the Mock Exams: Oracle SCM Business Process Foundation Associate document3, a user can configure and control the generation of full pegging information in the plan horizon of a supply plan. Pegging information shows the relationship between supply and demand in a supply chain. Full pegging information provides detailed information about each supply and demand source, such as item, quantity, date, location, organization, etc. A user can control the generation of full pegging information by selecting or deselecting the Generate Full Pegging option in the Plan Options page.

According to the Oracle Demand Management Cloud User Guide, the Demand Planner role is responsible for performing what-if analysis (A), reviewing product mix (B), and approving demand plan (E). These are major activities that come under the Demand Planner role. Resolving exceptions © and generating forecast (D) are not major activities that come under the Demand Planner role, but rather tasks that are performed by other roles such as Demand Analyst or Demand Administrator.