EXCELLECT 1Z0-1161-1 PASS RATE - 1Z0-1161-1 PREMIUM EXAM

Excellect 1Z0-1161-1 Pass Rate - 1Z0-1161-1 Premium Exam

Excellect 1Z0-1161-1 Pass Rate - 1Z0-1161-1 Premium Exam

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Certification has become a prerequisite for employment and career growth in the Oracle industry for reputable companies. To advance comfortably in your career, passing the 1Z0-1161-1 exam is a valuable validation of your expertise. However, many test takers struggle to find updated Oracle Fusion Cloud Applications CX Foundations Associate - Rel 1 (1Z0-1161-1) dumps and fail to prepare effectively in a short period, resulting in a loss of time, money, and motivation.

Oracle Fusion Cloud Applications CX Foundations Associate - Rel 1 Sample Questions (Q50-Q55):

NEW QUESTION # 50
How do AI/ML technologies assist in enhancing productivity within the Campaign Execution to Opportunity OMBP in Oracle Fusion Cloud CX Marketing?

  • A. AI provides robust reporting options, allowing for better customer targeting and behavioral analysis.
  • B. AI-powered chatbots handle customer inquiries, allowing agents to focus on complex tasks.
  • C. ML algorithms forecast market trends, guiding campaign strategies.
  • D. ML generates creative content for campaigns, reducing human effort.

Answer: A

Explanation:
The Campaign Execution to Opportunity OMBP in Oracle Fusion Cloud CX Marketing focuses on turning marketing campaigns into sales opportunities. AI/ML enhances productivity here by providing robust reporting options, allowing for better customer targeting and behavioral analysis.
AI analyzes campaign performance data (e.g., engagement rates, conversions) and customer behavior (e.g., preferences, purchase history).
Robust reporting delivers actionable insights, enabling precise targeting and personalized campaigns that increase opportunity creation.
This data-driven approach reduces manual analysis time, boosting marketing team productivity.
Option A (Chatbots): Chatbots are more relevant to service, not campaign execution.
Option B (Content Generation): ML can assist with content, but it's not the primary productivity driver in this OMBP.
Option C (Trend Forecasting): Forecasting informs strategy but doesn't directly enhance execution productivity.
Oracle's "Oracle AI for Fusion Applications" and "CX Marketing" guides emphasize AI's role in advanced analytics and targeting for marketing processes.


NEW QUESTION # 51
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 is utilized for customer sentiment analysis, providing valuable insights.
  • B. AI/ML focuses on training agents on customer service best practices, requiring manual effort for knowledge application.
  • 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 # 52
Which KPI helps evaluate the success of the campaign in driving business outcomes for the Campaign Execution to Opportunity OMBP in Oracle Fusion Cloud CX Marketing?

  • A. Pre-campaign Review of Historical Campaign Performance metric for setting success benchmarks.
  • B. Real-time Tracking of the Campaign Reach metric for gauging immediate audience engagement during campaign execution.
  • C. Average Campaign Cost per Won Opportunity metric for understanding the financial return on investment.
  • D. Social Media Engagement metric for adapting content strategies during campaign execution.

Answer: C

Explanation:
The Campaign Execution to Opportunity OMBP aims to turn marketing campaigns into sales opportunities. The KPI that evaluates its success in driving business outcomes is Average Campaign Cost per Won Opportunity, as it measures financial return on investment (ROI).
Definition: Calculates the cost of the campaign divided by the number of opportunities won, showing cost-efficiency and business impact.
Business Outcome Focus: Links marketing spend to tangible sales results, a critical measure of success.
Option A (Historical Review): Useful for planning, not evaluating outcomes.
Option C (Social Engagement): Tracks engagement, not business results.
Option D (Campaign Reach): Measures exposure, not conversions or ROI.
Oracle Fusion CX Marketing documentation, like "Campaign Management Guides," highlights cost-per-opportunity as a vital KPI for ROI assessment.


NEW QUESTION # 53
Which feature in Oracle Fusion Cloud CX Marketing helps in predicting customer behavior?

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

Answer: B

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 # 54
What is the primary function of the Back-to-Back Order Fulfillment process in Oracle Fusion Cloud SCM?

  • A. To eliminate the need for supplier collaboration.
  • B. To prioritize warehouse stock over supplier sourcing.
  • C. To link customer orders to supplier purchase orders for direct fulfillment.
  • D. To delay order fulfillment until inventory is replenished.

Answer: C

Explanation:
The Back-to-Back Order Fulfillment process in Oracle Fusion Cloud SCM optimizes order delivery. Its primary function is to link customer orders to supplier purchase orders for direct fulfillment.
Process: When a customer order is placed, it triggers a purchase order to the supplier, ensuring goods are sourced and shipped directly to fulfill the demand.
Benefit: Reduces inventory holding costs and speeds up fulfillment.
Option A (No Collaboration): Requires supplier integration, not elimination.
Option B (Delay): Aims for efficiency, not delays.
Option D (Warehouse Priority): Focuses on supplier sourcing, not existing stock.
Oracle Fusion Cloud SCM documentation, like "Order Management Guides," details this process.


NEW QUESTION # 55
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