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Oracle 1Z0-1061-26 Exam Syllabus Topics:

SectionObjectives
Topic 1: Sales Processes and Automation- Lead and opportunity management
  • 1. Opportunity pipeline setup
    • 2. Lead lifecycle configuration
      - Territory and forecasting
      • 1. Forecasting setup and usage
        • 2. Territory management configuration
          Topic 2: Integration and Extension- Extensibility
          • 1. Application Composer usage
            • 2. Groovy/Business rules concepts
              - Integration concepts
              • 1. Data import/export mechanisms
                • 2. REST/SOAP API usage overview
                  Topic 3: Reporting, Analytics, and Security- Analytics and reporting
                  • 1. CX Sales analytics configuration
                    • 2. Standard reports and dashboards
                      - Security and access control
                      • 1. Data visibility and sharing rules
                        • 2. Role-based access control
                          Topic 4: Application Configuration- Sales application setup
                          • 1. User and role configuration
                            • 2. Common setup and personalization
                              - Data and object configuration
                              • 1. Fields, layouts, and page customization
                                • 2. Standard and custom objects
                                  Topic 5: Oracle CX Sales Foundations- Implementation methodology
                                  • 1. Business requirements mapping
                                    • 2. Configuration lifecycle overview
                                      - Sales Cloud architecture and core concepts
                                      • 1. Roles and security model basics
                                        • 2. CX Sales data model overview

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                                          1Z0-1061-26 Latest Study Plan | New 1Z0-1061-26 Test Sample

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                                          Oracle CX Sales 2026 Implementation Professional Sample Questions (Q113-Q118):

                                          NEW QUESTION # 113
                                          Which of the following is a feature of Oracle Profitability and Cost Management Cloud Service 2023?

                                          Answer: B

                                          Explanation:
                                          Option 1: Incorrect. While Oracle Profitability and Cost Management Cloud Service does provide in-memory calculation capabilities, this is not a new feature specific to the 2023 version. Option 2: Incorrect. Data masking and data encryption are important security features in Oracle Profitability and Cost Management Cloud Service, but they are not new in the 2023 version. Option 3: Correct. Integration with Oracle Planning and Budgeting Cloud Service is a new feature introduced in the 2023 version of Oracle Profitability and Cost Management Cloud Service. This integration allows for seamless data flow between the two applications, enhancing the overall planning and budgeting process. Option 4: Incorrect. While Oracle Profitability and Cost Management Cloud Service leverages machine learning capabilities for predictive analytics and insights, there are no built-in machine learning algorithms specific to the 2023 version.


                                          NEW QUESTION # 114
                                          Which of the following methods can be used to load data into Oracle Profitability and Cost Management Cloud Service?

                                          Answer: A

                                          Explanation:
                                          Option 1: Correct: Data Management is a tool that can be used to load data into Oracle Profitability and Cost Management Cloud Service. It provides functionality to import and export large volumes of data through a user-friendly interface. Option 2: Incorrect: Smart View can be used for reporting and analysis purposes, but it is not a tool designed specifically for data loading. Option 3: Incorrect: Data Integrator is a tool used for integrating disparate data sources, but it is not typically used for loading data into Oracle Profitability and Cost Management Cloud Service. Option 4: Incorrect: Data Relationship Management is a tool used for managing master data, but it is not used for loading data into Oracle Profitability and Cost Management Cloud Service.


                                          NEW QUESTION # 115
                                          Which data load type in Oracle Profitability and Cost Management Cloud Service is suitable for loading large volumes of data using custom scripts?

                                          Answer: C

                                          Explanation:
                                          Option 1: Incorrect. The Data Load Rule is used to perform complex transformations on loaded data. Option 2: Incorrect. The Clear Rule is used to clear data from the application. Option 3: Correct. The Data Load Mapping feature allows you to create custom scripts to load large volumes of data. Option 4: Incorrect. The Allocation Rule is used to allocate costs and revenues to different dimensions in the application.


                                          NEW QUESTION # 116
                                          Which of the following statements about the Overview and Architecture of Oracle Profitability and Cost Management Cloud Service 2023 Implementation is true?

                                          Answer: C

                                          Explanation:
                                          Option 1: Answer This is incorrect because Oracle Profitability and Cost Management Cloud Service is a profitability and cost management application, not a planning and budgeting application. Option 2: Answer This is incorrect because Oracle Profitability and Cost Management Cloud Service is not a management application that helps you manage your business. However, it does help you analyze your business performance. Option 3: Answer This is correct because Oracle Profitability and Cost Management Cloud Service is a multi-dimensional analytical application designed to help you analyze your business performance. Option 4: Answer This is incorrect because Oracle Profitability and Cost Management Cloud Service is not a database application. It does integrate data from various sources.


                                          NEW QUESTION # 117
                                          Which feature of Oracle Profitability and Cost Management Cloud Service allows you to link financial and operational data to calculate and report on profitability?

                                          Answer: A

                                          Explanation:
                                          Option 1: Incorrect. Financial Reporting in Oracle Profitability and Cost Management Cloud Service allows you to create and distribute financial reports and statements. It does not specifically link financial and operational data for profitability calculation and reporting. Option 2: Incorrect. Data Management in Oracle Profitability and Cost Management Cloud Service provides the ability to load and manage data from various sources. It does not specifically link financial and operational data for profitability calculation and reporting. Option 3: Correct. Profitability and Cost Management in Oracle Profitability and Cost Management Cloud Service allows you to link financial and operational data to calculate and report on profitability. It provides features such as cost allocation, driver-based modeling, and scenario analysis. Option 4: Incorrect. Data Visualization in Oracle Profitability and Cost Management Cloud Service allows you to create visualizations and dashboards based on your data. It does not specifically link financial and operational data for profitability calculation and reporting.


                                          NEW QUESTION # 118
                                          ......

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