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1Z0-1161-1 Exam Fragen & 1Z0-1161-1 Deutsche Prüfungsfragen

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Oracle 1Z0-1161-1 Prüfungsplan:

Thema
Einzelheiten

Thema 1

OMBPs for CX Sales Performance Management: This section of the exam measures the skills of Training and Learning Managers and covers sales performance management using OMBPs. It explains the process from designing a compensation plan to making participant payments, ensuring sales teams are effectively rewarded. The section highlights key considerations and takeaways for implementing CX Sales Performance OMBPs to optimize incentive structures. Furthermore, the key metrics used to measure the success of these OMBPs are described, helping organizations track and refine their compensation strategies.

Thema 2

Oracle Cloud Success Navigator and Oracle Cloud Quality Standards: This section of the exam measures the skills of Training and Learning Managers and focuses on optimizing cloud adoption. It explains the importance of Cloud Success Navigator and Cloud Quality Standards in ensuring smooth implementation and ongoing optimization of Oracle Cloud solutions. The section also describes how OMBPs are embedded within Oracle Cloud and applied with Starter Configuration to create an efficient and scalable cloud environment.

Thema 3

OMBPs for CX Service: This section of the exam measures the skills of OGL Administrators and focuses on customer service processes within Oracle Cloud. It explains the process from initial customer contact to service resolution, ensuring efficient and timely handling of customer inquiries. The design considerations and important takeaways for CX Service OMBPs are discussed, helping businesses improve their service operations. Additionally, key metrics are outlined to measure the successful execution of CX Service OMBPs, ensuring high-quality customer support and satisfaction.

>> 1Z0-1161-1 Exam Fragen <<

1Z0-1161-1 Deutsche Prüfungsfragen & 1Z0-1161-1 Deutsch Prüfung

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Oracle Fusion Cloud Applications CX Foundations Associate - Rel 1 1Z0-1161-1 Prüfungsfragen mit Lösungen (Q51-Q56):

51. Frage
Which metric provides valuable insight about agent effectiveness in the Knowledge Gap to Deliver Resolution OMBP?

A. Resolution Time, which measures the duration taken to resolve a customer issue from the moment it is reported.
B. Customer Churn Rate, which measures the number of customers leaving the product or service.
C. Correct Resolution Rate, which assesses the accuracy of the solutions provided to customers.

Antwort: C

Begründung:
The Knowledge Gap to Deliver Resolution OMBP in Oracle Fusion Cloud CX Service focuses on agents using knowledge resources to resolve customer issues effectively. The Correct Resolution Rate is the metric that provides the most valuable insight into agent effectiveness.
It assesses the accuracy of solutions provided, directly reflecting how well agents leverage knowledge to address customer needs.
A high rate indicates agents are applying the right information, reducing escalations and rework, which are key to effectiveness.
Option A (Customer Churn Rate): Churn reflects customer retention, not agent-specific effectiveness.
Option C (Resolution Time): Time measures efficiency, but not necessarily the correctness or quality of resolutions.
Oracle Fusion Cloud CX Service documentation, such as "Fusion Service Questions and Answers," identifies Correct Resolution Rate as a core metric for evaluating agent performance in knowledge-driven resolutions.

52. Frage
Which feature in Oracle Fusion Cloud SCM helps in tracking and managing real-time production processes?

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

Antwort: B

Begründung:
Oracle Fusion Cloud SCM manages production through Manufacturing Execution, which tracks and manages real-time production processes.
Functionality: Monitors shop floor activities, such as work order progress, resource usage, and output, in real-time.
Impact: Ensures production stays on schedule and meets quality standards.
Option A (Qualification): Focuses on suppliers, not production.
Option B (Inventory): Tracks stock, not production processes.
Option D (Cost Accounting): Manages costs, not real-time operations.
Oracle Fusion Cloud SCM documentation, like "Manufacturing Guides," details this feature's role.

53. Frage
How do AI/ML technologies assist in enhancing productivity within the Campaign Execution to Opportunity OMBP in Oracle Fusion Cloud CX Marketing?

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

Antwort: B

Begründung:
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.

54. Frage
Which feature in Oracle Fusion Cloud CX Service helps in improving agent productivity?

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

Antwort: D

Begründung:
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.

55. Frage
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.

Antwort: C

Begründung:
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.

56. Frage
......

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