1z0-1163-1 Questions and Answers

In Oracle Fusion Cloud Procurement, IDR and OCR technologies are used to capture and extract data from invoices, automating the data entry process. OCR converts scanned invoice images into machine-readable text, while IDR intelligently interprets and extracts relevant fields (e.g., invoice number, amount). This reduces manual effort and errors. Option A (automated routing) is a downstream process, not the primary function of IDR/OCR. Option B (validation) is a secondary benefit, not the core purpose. Option D (supplier registration) is unrelated to invoice processing. This automation streamlines procurement workflows.

Oracle Fusion Cloud SCM ensures supply planning recommendations are up-to-date by enabling real-time supplier collaboration through tools like the Supplier Portal and Supply Chain Collaboration features. This integration allows suppliers to provide current data on lead times and inventory availability, which is directly reflected in supply plans. Option A (manual verification) contradicts Oracle’s automation-driven approach. Option B (increasing reorder points) is a reactive measure, not a solution for real-time updates. Option D (separate forecasting models) undermines the unified planning framework of Oracle Fusion. Real-time collaboration enhances planning accuracy and responsiveness.

The Production Order to Cost Update process within Oracle Manufacturing Business Process (OMBP) in Oracle Fusion Cloud SCM ensures accurate cost calculations by capturing and updating costs associated with production orders, such as materials, labor, and overhead. This accuracy supports better decision-making and improves profitability by enabling precise cost analysis and pricing strategies. Option A is irrelevant as it ties to CRM, not cost updates. Option B exaggerates automation—human oversight remains necessary. Option D focuses on real-time updates, which is secondary to the primary benefit of accuracy emphasized in Oracle documentation.

Global Order Promising (GOP) in Oracle Fusion Cloud SCM provides real-time order promising by evaluating supply and demand constraints across the enterprise, ensuring accurate delivery commitments. Option A is incorrect as GOP considers global, not just local, availability. Option C is false—it doesn’t guarantee a 24-hour fulfillment but provides feasible timelines. This enhances customer satisfaction and planning accuracy.

TheBack-to-Back Order Fulfillment process (A)in Oracle Fusion Cloud SCM links customer orders directly to supplier purchase orders, ensuring seamless fulfillment without relying solely on existing inventory. When a customer order is placed, the system automatically generates a corresponding PO to the supplier, who ships the goods directly or via the warehouse to the customer. For example, if a retailer orders a custom machine not in stock, Back-to-Back triggers a PO to the manufacturer, streamlining delivery. Option B is incorrect—it aims for efficiency, not delays. Option C is wrong—it prioritizes supplier sourcing over warehouse stock when needed. This feature reduces inventory holding costs, improves cash flow, and ensures timely delivery, making it ideal for make-to-order scenarios.

Receipt Accounting (D)in Oracle Fusion Cloud SCM records the receipt of goods and services, generating accounting entries that reflect these transactions for financial reporting and cost tracking. When a shipment of 500 units arrives, Receipt Accounting logs the event, assigns costs (e.g., $5,000), and creates entries like "Inventory Debit" and "Accounts Payable Credit," ensuring financial accuracy. Option A is incorrect—timely invoice payment is a downstream accounts payable process, not Receipt Accounting’s role. Option B is false—contract validation occurs in procurement, not here. Option C is wrong—Receipt Accounting feeds into Cost Accounting, enhancing, not eliminating it. This function ensures compliance with accounting standards, provides visibility into goods received, and supports accurate financial statements, bridging physical and financial supply chain activities.

The Oracle Redwood Design System enhances Oracle Fusion Applications SCM’s user experience withSimplified User Interface (UI) (C)andAdvanced Data Visualization (D). The Simplified UI offers an intuitive, clutter-free design with consistent layouts and minimal clicks—e.g., a planner can access demand forecasts in two steps instead of navigating complex menus, boosting productivity. Advanced Data Visualization provides interactive charts and dashboards (e.g., a heat map of inventory levels), enabling users to quickly interpret complex data and make informed decisions. Option A (Enhanced Mobile Accessibility) is valuable but less transformative than UI simplicity and visualization for daily SCM tasks. Option B (Automated Task Management) is a functional feature, not a UX design element. Together, C and D reduce learning curves, enhance decision-making, and elevate user satisfaction.

Inventory Management (D)in Oracle Fusion Cloud SCM ensures optimal inventory levels by tracking stock movement—receipts, transfers, and consumption—and maintaining availability data across warehouses. For example, if stock drops below a reorder point (e.g., 100 units), it triggers replenishment to avoid stockouts while preventing overstocking (e.g., holding 1,000 units when demand is 200). Option A (Supplier Qualification) evaluates suppliers, not inventory levels. Option B (Manufacturing Execution) tracks production, not overall stock. Option C (Cost Accounting) analyzes costs, not physical stock movement. Inventory Management balances service levels with cost efficiency, using real-time data to adjust stock dynamically, critical for operational success and customer satisfaction.

The Predict Demand process within the Demand to Management OMBP in Oracle Fusion Cloud SCM leverages advanced capabilities to enhance demand planning.Collaborative Forecasting Platform (A)enables stakeholders—such as sales teams, suppliers, and distributors—to collaborate in real time, inputting qualitative insights (e.g., market trends or promotions) that refine forecasts beyond pure data analysis. For example, a retailer might adjust forecasts based on an upcoming sale confirmed via the platform, improving accuracy.Machine Learning-based Forecasting (B)uses algorithms to analyze historical data, detect patterns (e.g., seasonality or anomalies), and adapt predictions dynamically, making it more precise than traditional methods. For instance, it might identify a spike in demand for umbrellas during unexpected rainy seasons. Option C (Statistical Forecasting) is a traditional method relying on statistical models but lacks the adaptive intelligence of machine learning, though it’s still used as a foundation. Option D (Demand Sensing) focuses on short-term demand signals (e.g., point-of-sale data) rather than long-term planning, making it complementary but not a core strength of Predict Demand. Together, A and B empower businesses with both human collaboration and cutting-edge AI, ensuring robust demand planning that balances quantitative and qualitative inputs.

Available to Promise (ATP) (C)in Oracle Fusion Cloud SCM ensures product availability commitments by calculating how much inventory is available for new orders based on current stock and supply constraints like production schedules and supplier lead times. For example, if 100 units are on hand with 40 committed, ATP shows 60 units available, ensuring accurate promises. Option A (Cost Accounting) tracks financials, not availability. Option B (Supplier Portal) supports collaboration, not direct commitment calculations. Option D (Manufacturing Execution) manages production, not order promising. ATP’s real-time analysis prevents overpromising, aligning customer expectations with operational capacity.