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1Z0-1163-1 Study Materials & 1Z0-1163-1 New Practice Materials

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Oracle Fusion Cloud Applications SCM Foundations Associate - Rel 1 Sample Questions (Q32-Q37):

NEW QUESTION # 32
What is the primary purpose of the Production Order to Cost Update OMBP in Oracle Fusion Cloud SCM?

A. It ensures immediate financial benefits through real-time cost updates.
B. It enhances customer relationship management.
C. It automates the production process without human supervision.
D. It provides accurate cost calculations for better decision-making.

Answer: D

Explanation:
The Production Order to Cost Update OMBP (D) in Oracle Fusion Cloud SCM focuses on providing accurate cost calculations by capturing and updating costs associated with production orders-materials, labor, and overhead-enabling better decision-making. For instance, if producing 100 units costs $1,000 (e.g., $500 materials, $300 labor, $200 overhead), this process ensures the total is reflected accurately, allowing managers to adjust pricing or reduce costs. Option A is misleading-while cost updates occur, the primary purpose is accuracy, not immediate financial gains, which are an outcome. Option B is incorrect-customer relationship management is unrelated to production costing. Option C overstates automation; human oversight is still required, and the focus is on cost, not process automation. Accurate cost data supports profitability analysis, budgeting, and strategic planning, making it a critical link between manufacturing and financial management.

NEW QUESTION # 33
Which two capabilities within the Predict Demand process in the Demand to Management OMBP make it a powerful tool for demand planning and management?

A. Statistical Forecasting.
B. Machine Learning-based Forecasting.
C. Demand Sensing.
D. Collaborative Forecasting Platform.

Answer: B,D

Explanation:
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.

NEW QUESTION # 34
What is a key benefit of Supplier Qualification Management in Oracle Fusion Cloud SCM?

A. It assesses and approves suppliers based on compliance and performance criteria.
B. It eliminates supplier performance reviews.
C. It only tracks supplier payments.

Answer: A

Explanation:
Supplier Qualification Management in Oracle Fusion Cloud SCM evaluates and approves suppliers based on predefined compliance and performance criteria, ensuring reliable partnerships. Option A is incorrect as it focuses on payments, not qualification. Option C is wrong-performance reviews are integral to the process. This benefit mitigates risks and ensures quality suppliers.

NEW QUESTION # 35
What is the role of the Global Order Promising feature in Oracle Fusion Cloud SCM?

A. It focuses only on local inventory availability.
B. It guarantees same-day delivery for all orders.
C. It eliminates the need for supplier collaboration.
D. It provides real-time order commitment dates based on supply and demand constraints.

Answer: D

Explanation:
Global Order Promising (C) provides real-time order commitment dates by analyzing supply (e.g., inventory, production) and demand (e.g., orders, forecasts) constraints enterprise-wide. For instance, if 100 units are requested and 70 are available with a 3-day lead time, it commits to 3 days. Option A is false-no universal same-day guarantee exists. Option B is incorrect-supplier data often informs promises. Option D is wrong-it considers global, not just local, availability. This feature ensures reliable promises, reduces cancellations, and aligns customer expectations with operational capacity.

NEW QUESTION # 36
What is a key feature of the Back-to-Back Order Fulfillment process in Oracle Fusion Cloud SCM?

A. It delays order fulfillment until inventory is replenished.
B. It prioritizes warehouse stock over supplier sourcing.
C. It links customer orders to supplier purchase orders, ensuring direct fulfillment.

Answer: C

Explanation:
The Back-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.

NEW QUESTION # 37
......

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Dan Lee Dan Lee

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