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Oracle 1Z0-1163-1 Exam Syllabus Topics:

Topic	Details
Topic 1	Oracle Cloud Applications and Oracle Modern Best Practice (OMBP): This section of the exam measures the skills of Cloud Application Consultants in understanding Oracle Cloud Applications and their capabilities. It covers the key offerings within the Oracle Cloud ecosystem and highlights the features of the Oracle SCM suite. Candidates will learn about data flow between the SCM OMBPs and how these processes optimize supply chain management.
Topic 2	OMBPs for Procurement: This section tests the abilities of Procurement Specialists in managing procurement operations within Oracle Cloud Applications. It covers the flow of procurement processes, integration points with other SCM modules, and best practices for improving procurement efficiency. Candidates will gain insights into the key metrics used to evaluate procurement performance and cost-effectiveness.
Topic 3	OMBPs for Supply Chain Planning: This section assesses the knowledge of Supply Chain Planners in managing planning modules within Oracle SCM. It explains process flows, integration points, and how different planning modules work together. Candidates will learn about best practices for designing efficient planning workflows and key metrics used to measure supply chain responsiveness and effectiveness.
Topic 4	Oracle Cloud Success Navigator & Oracle Cloud Quality Standards: This section evaluates the skills of Cloud Implementation Managers in leveraging Oracle Cloud Success Navigator and Quality Standards for cloud adoption. It explains how best practices are embedded into Oracle Cloud Applications and applied using Starter Configuration. Candidates will understand how to optimize cloud performance and ensure successful deployments following Oracle’s quality guidelines.
Topic 5	OMBPs for Manufacturing: This section measures the skills of Manufacturing Operations Managers in utilizing Oracle Cloud’s manufacturing capabilities. It explains the flow of manufacturing processes, module integration, and best practices that enhance operational efficiency. Candidates will analyze metrics that assess productivity, cost control, and overall manufacturing performance.
Topic 6	OMBPs for Innovation: This section evaluates the expertise of Supply Chain Innovation Analysts in leveraging SCM Innovation modules. It focuses on understanding the functionalities that drive product development and improving time-to-market. Candidates will explore key design considerations, best practices, and performance metrics that ensure faster product launches and enhanced innovation processes.

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Oracle Fusion Cloud Applications SCM Foundations Associate - Rel 1 Sample Questions (Q22-Q27):

NEW QUESTION # 22
Which feature in Oracle Fusion Cloud SCM tracks and analyzes manufacturing costs?

A. Cost Accounting.
B. Manufacturing Execution.
C. Inventory Management.
D. Supplier Qualification.

Answer: A

Explanation:
Cost Accounting (D) in Oracle Fusion Cloud SCM tracks and analyzes manufacturing costs, including materials, labor, and overhead, to support financial reporting and decision-making. For example, it might break down a $10,000 production run into $6,000 materials, $3,000 labor, and $1,000 overhead, revealing cost drivers. Option A (Manufacturing Execution) tracks production activities but doesn't analyze costs. Option B (Supplier Qualification) assesses suppliers, not manufacturing expenses. Option C (Inventory Management) monitors stock, not cost details. Cost Accounting provides granular insights, enabling cost reduction strategies and accurate profitability analysis, essential for financial health.

NEW QUESTION # 23
What is the primary purpose of the Predict Demand process in Oracle Fusion Cloud SCM?

A. It guarantees same-day delivery for all orders.
B. It focuses only on local inventory availability.
C. It uses machine learning and statistical forecasting to predict demand.
D. It eliminates the need for supplier collaboration.

Answer: C

Explanation:
The Predict Demand process (B) in Oracle Fusion Cloud SCM aims to forecast customer demand using advanced tools like machine learning and statistical forecasting. Machine learning analyzes historical sales, market trends, and external factors (e.g., weather or economic indicators) to predict future demand with high accuracy, while statistical forecasting provides a baseline using mathematical models like moving averages. For example, it might predict a 20% increase in demand for air conditioners in summer based on past patterns. Option A is incorrect-demand prediction isn't limited to local inventory but informs broader supply planning. Option C is false; supplier collaboration remains essential to fulfill predicted demand. Option D is unrealistic-Predict Demand focuses on forecasting, not delivery guarantees. This process ensures businesses can proactively adjust inventory and production, reducing costs and improving service levels.

NEW QUESTION # 24
What is the role of automation in creating POs from contract fulfillment in Oracle Fusion Cloud Procurement?

A. It facilitates the approval process by routing POs to the appropriate approvers, based on invoice rules and limits.
B. It enhances supplier qualification by providing visibility into supplier responses.
C. It ensures that POs are created accurately based on contract terms, reducing manual errors, and improving efficiency.

Answer: C

Explanation:
In Oracle Fusion Cloud Procurement, automation plays a critical role in creating purchase orders (POs) from contract fulfillment by ensuring that POs are generated directly from agreed contract terms with high accuracy and minimal manual intervention. This process leverages predefined contract data-such as item details, pricing, quantities, and delivery schedules-to populate POs automatically, reducing errors like incorrect pricing or quantities that often occur in manual entry. For instance, if a contract specifies 100 units of a product at $10 each, automation ensures the PO reflects this exactly, bypassing the need for manual rekeying. Option A is incorrect because routing POs for approval is a subsequent step, not the primary role of automation in PO creation. Option C is unrelated, as supplier qualification pertains to evaluating suppliers, not PO generation. This automation improves efficiency by speeding up the procurement cycle, ensures compliance with contract terms, and frees procurement staff to focus on strategic tasks rather than clerical work. It also integrates with supplier collaboration tools to confirm details, further enhancing accuracy.

NEW QUESTION # 25
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. Collaborative Forecasting Platform.
B. Machine Learning-based Forecasting.
C. Statistical Forecasting.
D. Demand Sensing.

Answer: A,B

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 # 26
What is the purpose of the Available to Promise (ATP) process in Oracle Fusion Cloud SCM?

A. It manages only supplier payments without impacting inventory levels.
B. It guarantees immediate product shipment for all orders.
C. It ensures product availability commitments based on inventory and supply constraints.

Answer: C

Explanation:
The Available to Promise (ATP) process in Oracle Fusion Cloud SCM is designed to determine product availability and provide realistic commitments to customers based on current inventory levels and supply constraints, such as production capacity and supplier lead times. ATP calculates how much stock is "available to promise" for new orders by subtracting existing commitments from on-hand inventory and factoring in planned supply. For example, if a warehouse has 50 units of a product, with 20 already allocated to prior orders, ATP shows 30 units available for new promises. Option B is incorrect because ATP has no direct role in managing supplier payments-it focuses on inventory and supply planning. Option C is false as ATP does not guarantee immediate shipment; it provides feasible dates based on availability, not an unrealistic promise of instant delivery. This process supports accurate order promising, prevents stockouts, and aligns customer expectations with operational reality, making it a cornerstone of effective supply chain management.

NEW QUESTION # 27
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NEW ORACLE 1Z0-1163-1 BRAINDUMPS FILES, PRACTICE 1Z0-1163-1 EXAM ONLINE

New Oracle 1Z0-1163-1 Braindumps Files, Practice 1Z0-1163-1 Exam Online