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1Z0-1161-1試験の準備方法｜100％合格率の1Z0-1161-1資格認定試験｜有難いOracle Fusion Cloud Applications CX Foundations Associate - Rel 1再テスト

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結果として、1Z0-1161-1の質問トレントはユーザーレベルのニーズに合わせて調整され、文化レベルは不均一であり、大学生が学校に多く、労働者に多くの仕事があり、さらには教育レベルが低い人もいます。オフなので、ユーザーのさまざまなレベルの違いに適応するために、テキスト情報の表現に特に焦点を当てた教材を作成するときに1Z0-1161-1試験の質問が行われるため、1Z0-1161-1学習ガイドの内容を理解できます1Z0-1161-1試験に簡単に合格します。

Oracle 1Z0-1161-1 認定試験の出題範囲：

トピック
出題範囲

トピック 1

OMBPs for CX Sales: This section of the exam measures the skills of OGL Administrators and focuses on the sales process within Oracle Modern Best Practice. It explains the journey from lead generation to a successfully closed opportunity, ensuring a structured and efficient sales workflow. The design aspects and important considerations for implementing CX Sales OMBPs are discussed to help organizations streamline sales operations. Additionally, key performance metrics are described, offering a way to measure and track the success of CX Sales OMBPs.

トピック 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.

トピック 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.

トピック 4

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.

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100％合格率の1Z0-1161-1資格認定 & 合格スムーズ1Z0-1161-1再テスト | 更新する1Z0-1161-1テストサンプル問題

Oracle高品質で、高い合格率とヒット率を高めることができる1Z0-1161-1のOracle Fusion Cloud Applications CX Foundations Associate - Rel 1試験トレントを提供します。当社の合格率は99％であるため、当社の製品を購入し、1Z0-1161-1試験の教材によってもたらされるメリットを享受することができます。当社の製品は効率的で、短時間でOracle Fusion Cloud Applications CX Foundations Associate - Rel 1ガイド急流を習得し、エネルギーを節約するのに役立ちます。当社が提供する製品は専門家によって編集され、JPNTest深い経験を後押しする専門家によって承認されています。シラバスの変更および理論と実践の最新の開発状況に応じて改訂および更新されます。

Oracle Fusion Cloud Applications CX Foundations Associate - Rel 1 認定 1Z0-1161-1 試験問題 (Q21-Q26):

質問 # 21
How does AI/ML enhance productivity and performance for sales managers and representatives in the Coaching Plan to Performance OMBP in Oracle Fusion Cloud CX Sales Performance?

A. AI/ML focuses on sales forecasting and pipeline management, leaving the coaching aspect unchanged.
B. AI/ML analyzes sales representative performance data, identifies areas for improvement, and provides tailored recommendations.
C. AI/ML automates the coaching process, delivering generic training modules to all sales representatives.

正解：B

解説：
The Coaching Plan to Performance OMBP in Oracle Fusion Cloud CX Sales Performance uses AI/ML to optimize coaching efforts, directly impacting productivity and performance. The most effective approach is analyzing sales representative performance data, identifying areas for improvement, and providing tailored recommendations.
AI/ML assesses individual rep performance (e.g., conversion rates, deal sizes) against benchmarks.
It identifies specific weaknesses (e.g., poor objection handling) and strengths to build upon.
Tailored recommendations (e.g., targeted training or strategy adjustments) ensure coaching is personalized, driving measurable improvements.
Option A (Forecasting Focus): Forecasting and pipeline management are separate functions; coaching requires performance-specific insights.
Option B (Generic Automation): Generic modules lack the personalization needed for effective coaching, reducing impact.
Oracle's "Oracle AI for Fusion Applications" and "CX Sales Performance" documentation emphasize AI/ML's role in delivering individualized coaching insights, aligning with this OMBP's objectives.

質問 # 22
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. Average Campaign Cost per Won Opportunity metric for understanding the financial return on investment.
B. Real-time Tracking of the Campaign Reach metric for gauging immediate audience engagement during campaign execution.
C. Social Media Engagement metric for adapting content strategies during campaign execution.
D. Pre-campaign Review of Historical Campaign Performance metric for setting success benchmarks.

正解：A

解説：
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.

質問 # 23
Which feature in Oracle Fusion Cloud SCM ensures that supply planning recommendations reflect the latest supplier information?

A. Increasing reorder points in inventory management.
B. Implementing manual verification of supplier information before updating supply plans.
C. Real-time Supplier Collaboration.
D. Using separate forecasting models for procurement and supply chain planning.

正解：C

解説：
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.

質問 # 24
Which metric is used to measure the success of the Nurture to Opportunity OMBP?

A. Website traffic and engagement metrics.
B. Total revenue generated from the targeted opportunity.
C. Sales team productivity.
D. Number of new customer acquisitions.

正解：B

解説：
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.

質問 # 25
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-powered knowledge base search tools provide agents with relevant solutions instantly, and predictive models suggest the best responses.
C. AI/ML is utilized for customer sentiment analysis, providing valuable insights.

正解：B

解説：
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.

質問 # 26
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