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2025 1Z0-1161-1 – 100% Free Certification Test Questions | Oracle Fusion Cloud Applications CX Foundations Associate - Rel 1 Cert
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Oracle Fusion Cloud Applications CX Foundations Associate - Rel 1 Sample Questions (Q43-Q48):
NEW QUESTION # 43
Which two modern features of Oracle Redwood User Interface are integrated into Oracle CX Applications?
Answer: C,D
Explanation:
The Oracle Redwood User Interface (UI) enhances usability in Oracle CX Applications with modern features. The two integrated features are:
A . Standardized User Experience: Provides consistent layouts, terminology, and patterns, reducing training time and boosting productivity.
C . Contextual Journeys: Delivers role-based dashboards and actions, tailoring the UI to user needs (e.g., sales reps vs. managers).
Option B (Nudges): While useful, nudges are less emphasized as a core Redwood feature in CX Applications.
Option D (Embellished AI): AI capabilities exist but are functional enhancements, not UI-specific features.
Oracle's "Redwood Design System" documentation highlights Standardized User Experience and Contextual Journeys as key UI elements.
NEW QUESTION # 44
Which metric is used to measure the success of the Nurture to Opportunity OMBP?
Answer: A
Explanation:
The Nurture to Opportunity OMBP in Oracle Fusion Cloud CX Marketing focuses on converting nurtured leads into sales opportunities. The metric that measures its success is Total revenue generated from the targeted opportunity.
Why It Matters: Revenue ties nurturing efforts to financial outcomes, reflecting the OMBP's ability to drive profitable opportunities.
Comprehensive View: It captures the end-to-end impact, from lead nurturing to deal closure.
Option A (Acquisitions): Counts customers but ignores revenue value.
Option B (Productivity): Internal metric, not outcome-focused.
Option D (Traffic/Engagement): Intermediate metrics, not final success indicators.
Oracle Fusion CX Marketing documentation, such as "CX Analytics FAQs," emphasizes revenue as a key success metric for nurturing processes.
NEW QUESTION # 45
Which feature in Oracle Fusion Cloud CX Marketing helps in predicting customer behavior?
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 # 46
Which feature in Oracle Fusion Cloud SCM ensures that supply planning recommendations reflect the latest supplier information?
Answer: C
Explanation:
Oracle Fusion Cloud SCM optimizes supply planning by integrating supplier data. The feature that ensures recommendations reflect the latest supplier information is Real-time Supplier Collaboration.
Functionality: Enables direct, real-time communication with suppliers to share updates on capacity, lead times, and availability.
Impact: Supply plans dynamically adjust to current supplier conditions, improving accuracy and responsiveness.
Option B (Reorder Points): Adjusts inventory thresholds but doesn't incorporate supplier data.
Option C (Manual Verification): Inefficient and outdated compared to real-time integration.
Option D (Separate Models): Disjointed forecasting lacks supplier synchronization.
Oracle Fusion Cloud SCM documentation, like "Supply Chain Collaboration Guides," highlights this feature's role in planning.
NEW QUESTION # 47
How do AI/ML technologies enhance the Knowledge Gap to Deliver Resolution OMBP in improving service agent productivity?
Answer: C
Explanation:
The Knowledge Gap to Deliver Resolution OMBP aims to empower agents to resolve issues using knowledge resources. AI/ML enhances this by assisting issue resolution and suggesting potential solutions to service agents.
Suggested Solutions: AI analyzes case details and historical data to recommend relevant resolutions in real-time, reducing agent search time and improving accuracy.
This boosts productivity by streamlining the resolution process and minimizing manual effort.
Option A (Automated Articles): Generating articles is useful, but manual searching negates productivity gains.
Option B (Segmentation): This applies to marketing, not service resolution.
Oracle Fusion Cloud CX Service documentation, such as "Oracle AI for Fusion Applications," emphasizes AI/ML's role in resolution assistance for agent efficiency.
NEW QUESTION # 48
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