FREE PDF QUIZ 2025 HIGH HIT-RATE ORACLE VALID 1Z0-1161-1 TEST TOPICS

Free PDF Quiz 2025 High Hit-Rate Oracle Valid 1Z0-1161-1 Test Topics

Free PDF Quiz 2025 High Hit-Rate Oracle Valid 1Z0-1161-1 Test Topics

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Oracle Fusion Cloud Applications CX Foundations Associate - Rel 1 Sample Questions (Q15-Q20):

NEW QUESTION # 15
How do AI/ML technologies assist service agents and managers in improving productivity and customer satisfaction within the Customer Contact to Resolution OMBP in Oracle Fusion Cloud CX Service?

  • A. AI/ML focuses on training agents on customer service best practices, requiring manual effort for knowledge application.
  • B. AI/ML is utilized for customer sentiment analysis, providing valuable insights.
  • C. AI/ML-powered knowledge base search tools provide agents with relevant solutions instantly, and predictive models suggest the best responses.

Answer: C

Explanation:
The Customer Contact to Resolution OMBP (Operational Management Business Process) in Oracle Fusion Cloud CX Service aims to streamline the resolution of customer inquiries from initial contact to closure. AI/ML technologies significantly enhance this process by providing AI/ML-powered knowledge base search tools that deliver relevant solutions instantly and predictive models that suggest the best responses.
Instant Knowledge Base Search: AI-driven tools analyze customer queries in real-time, quickly retrieving accurate articles or solutions from the knowledge base, reducing agent effort and resolution time.
Predictive Models: ML algorithms predict optimal responses based on historical data, case context, and customer patterns, improving resolution accuracy and customer satisfaction.
Together, these capabilities boost agent productivity (faster resolutions) and customer satisfaction (accurate, timely solutions).
Option A (Training Focus): While training is valuable, it relies on manual application and doesn't directly leverage AI/ML for real-time productivity gains.
Option B (Sentiment Analysis): Sentiment analysis provides insights but is more supplementary, not the core mechanism for resolution efficiency.
Oracle Fusion Cloud CX Service documentation, such as "Oracle AI for Fusion Applications" and "Service Center Guides," highlights AI/ML's role in knowledge assistance and predictive resolution as key to this OMBP.


NEW QUESTION # 16
What is the purpose of the Global Order Promising feature in Oracle Fusion Cloud SCM?

  • A. To provide real-time order commitment dates based on supply and demand constraints.
  • B. To eliminate the need for supplier collaboration.
  • C. To focus only on local inventory availability.
  • D. To guarantee same-day delivery for all orders.

Answer: A

Explanation:
The Global Order Promising (GOP) feature in Oracle Fusion Cloud SCM ensures accurate order fulfillment planning. Its purpose is to provide real-time order commitment dates based on supply and demand constraints.
Functionality: GOP analyzes global inventory, production capacity, and supplier lead times to calculate realistic delivery dates.
Benefit: Enhances customer satisfaction by setting reliable expectations in real-time.
Option A (No Collaboration): GOP integrates supplier data, not eliminates it.
Option C (Same-Day Guarantee): Unrealistic and not its purpose.
Option D (Local Focus): GOP considers global, not just local, constraints.
Oracle Fusion Cloud SCM documentation, such as "Order Management Guides," details GOP's real-time promising capability.


NEW QUESTION # 17
What is the primary function of the Order Promising process in Oracle Fusion Cloud SCM?

  • A. To only manage orders for direct-to-customer deliveries.
  • B. To provide accurate order commitment dates based on supply and demand availability.
  • C. To eliminate the need for supplier collaboration.
  • D. To guarantee same-day shipping for all orders.

Answer: B

Explanation:
The Order Promising process in Oracle Fusion Cloud SCM ensures reliable order fulfillment. Its primary function is to provide accurate order commitment dates based on supply and demand availability.
Process: Evaluates inventory, production, and supplier data to calculate realistic delivery dates.
Benefit: Sets customer expectations accurately, improving satisfaction and planning.
Option A (Direct Deliveries): Applies broadly, not just to direct orders.
Option B (No Collaboration): Relies on supplier data integration.
Option D (Same-Day): Not feasible for all orders; focuses on accuracy.
Oracle Fusion Cloud SCM documentation, like "Order Management Guides," confirms this function.
Reference:
Below are the corrected and formatted questions based on your input, with 100% verified answers aligned with Oracle Fusion Cloud Applications CX and SCM official documentation. Each question includes a detailed explanation referencing relevant Oracle Fusion Cloud concepts. Typing errors have been corrected, and the format adheres to your specified structure.


NEW QUESTION # 18
Which feature in Oracle Fusion Cloud CX Service helps in improving agent productivity?

  • A. Automated customer segmentation.
  • B. Real-time customer sentiment analysis.
  • C. AI/ML-powered knowledge base search tools.
  • D. Social media integration.

Answer: C

Explanation:
Oracle Fusion Cloud CX Service enhances agent productivity with AI/ML-powered knowledge base search tools.
How It Works: AI analyzes queries and retrieves relevant knowledge articles instantly, reducing search time.
Impact: Speeds up resolutions, allowing agents to handle more cases efficiently.
Option A (Sentiment Analysis): Provides insights but doesn't directly boost productivity.
Option B (Segmentation): Marketing-focused, not agent productivity.
Option C (Social Media): Enhances engagement, not core productivity.
Oracle Fusion Cloud CX Service documentation, like "Oracle AI for Fusion Applications," highlights this feature.


NEW QUESTION # 19
Which feature in Oracle Fusion Cloud CX Marketing helps in predicting customer behavior?

  • A. AI/ML-powered predictive analytics.
  • B. Customer segmentation tools.
  • C. Social media integration.
  • D. Real-time campaign tracking.

Answer: A

Explanation:
Oracle Fusion Cloud CX Marketing leverages advanced tools to anticipate customer actions, with AI/ML-powered predictive analytics being the feature that helps predict customer behavior.
How It Works: Uses machine learning to analyze historical data (e.g., purchases, interactions) and predict future actions (e.g., likelihood to buy).
Impact: Enables targeted campaigns and personalized offers, improving marketing effectiveness.
Option A (Segmentation): Groups customers but doesn't predict behavior.
Option C (Social Media): Enhances engagement, not prediction.
Option D (Tracking): Monitors performance, not future behavior.
Oracle Fusion Cloud CX Marketing documentation, like "Oracle AI for Fusion Applications," emphasizes predictive analytics for this purpose.


NEW QUESTION # 20
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