VALID DUMPS 1Z0-1061-24 QUESTIONS - 1Z0-1061-24 VALID EXAM DURATION

Valid Dumps 1Z0-1061-24 Questions - 1Z0-1061-24 Valid Exam Duration

Valid Dumps 1Z0-1061-24 Questions - 1Z0-1061-24 Valid Exam Duration

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Oracle CX Sales 2024 Implementation Professional Sample Questions (Q175-Q180):

NEW QUESTION # 175
Which feature should be used to optimize data loading performance in Oracle Profitability and Cost Management Cloud Service?

  • A. Dynamic Cube Customization
  • B. Calculation Manager
  • C. Hierarchy Flattening
  • D. Incremental Data Loading

Answer: D

Explanation:
Option 1: Correct. Incremental Data Loading is a feature in Oracle Profitability and Cost Management Cloud Service that allows users to load only the changes made to the data, rather than reloading the entire dataset. This can significantly improve performance when loading large amounts of data. Option 2: Incorrect. Hierarchy Flattening is a feature in Oracle Profitability and Cost Management Cloud Service that allows users to flatten hierarchical data structures into a single level structure for reporting and analysis purposes. It does not specifically optimize data loading performance. Option 3: Incorrect. Dynamic Cube Customization is a feature in Oracle Profitability and Cost Management Cloud Service that allows users to modify the structure or behavior of a cube dynamically, without requiring a full reprocessing. It does not specifically optimize data loading performance. Option 4: Incorrect. Calculation Manager is a feature in Oracle Profitability and Cost Management Cloud Service that allows users to create and manage calculations and allocations. It does not specifically optimize data loading performance.


NEW QUESTION # 176
Which of the following statements is true about mapping dimensions in Oracle Profitability and Cost Management Cloud Service?

  • A. Mapping dimensions is a mandatory step in setting up a model, and each dimension can be mapped to multiple sources
  • B. Mapping dimensions is an optional step in setting up a model, and each dimension can only be mapped to one source
  • C. Mapping dimensions is an optional step in setting up a model, and each dimension can be mapped to multiple sources
  • D. Mapping dimensions is a mandatory step in setting up a model, and each dimension can only be mapped to one source

Answer: A

Explanation:
Option 1: Mapping dimensions is a mandatory step in setting up a model in Oracle Profitability and Cost Management Cloud Service because mappings are used to build the hierarchical relationships in the model. Therefore, option A and D are incorrect. Option 2: Although each dimension can only be mapped once in a model, dimensions can be mapped to multiple sources, making option B incorrect. Option 3: This option is correct because each dimension can be mapped to multiple sources in Oracle Profitability and Cost Management Cloud Service, and mapping dimensions is a mandatory step in setting up a model. Option 4: This option is incorrect because mapping dimensions is a mandatory step in setting up a model.


NEW QUESTION # 177
Which feature of Oracle Profitability and Cost Management Cloud Service allows you to analyze the profitability of different customers?

  • A. Customer profitability analytics
  • B. Cost allocation rules
  • C. Cost allocation models
  • D. Customer profitability reports

Answer: D

Explanation:
Option 1: Incorrect. Cost allocation rules define the rules and logic for allocating costs to different objects or dimensions. They are not specifically designed for analyzing customer profitability. Option 2: Incorrect. Cost allocation models are used to allocate costs to different objects or dimensions based on specific allocation methods. They do not provide specific customer profitability analysis. Option 3: Correct. Oracle Profitability and Cost Management Cloud Service provides customer profitability reports that allow you to analyze the profitability of different customers. These reports provide insights into revenue, costs, and profitability metrics for individual customers. Option 4: Incorrect. Customer profitability analytics is not a specific feature of Oracle Profitability and Cost Management Cloud Service.


NEW QUESTION # 178
When loading data into Oracle Profitability and Cost Management Cloud Service, which method should be used to load data in bulk?

  • A. Smart View
  • B. File-based Data Integration
  • C. Data Load Wizard
  • D. Data Management

Answer: D

Explanation:
Option 1: Correct. Smart View is the recommended method for loading data in bulk into Oracle Profitability and Cost Management Cloud Service. It provides a flexible and efficient way to load large volumes of data from a variety of sources. Option 2: Incorrect. Data Management is not the recommended method for loading data in bulk into Oracle Profitability and Cost Management Cloud Service. While it is a powerful tool for data integration and management, it is not specifically designed for bulk data loading. Option 3: Incorrect. The Data Load Wizard is not the recommended method for loading data in bulk into Oracle Profitability and Cost Management Cloud Service. It is typically used for smaller data loads or for ad-hoc data loading. Option 4: Incorrect. File-based Data Integration is not the recommended method for loading data in bulk into Oracle Profitability and Cost Management Cloud Service. While it can be used to load data, it is not specifically designed for bulk data loading.


NEW QUESTION # 179
When loading data into Oracle Profitability and Cost Management Cloud Service, which of the following statements is correct regarding the 'Auto-Match Measures' option?

  • A. Auto-Match Measures is a feature that automatically matches measures from the source file with existing Target Application measures during data loading, and it can be used with both CSV and Excel files.
  • B. Auto-Match Measures is a feature that automatically matches measures from the source file with existing Target Application measures during data loading, but it can only be used with CSV files.
  • C. Auto-Match Measures is a feature that automatically creates new measures in the Target Application if no match can be found based on the source file data during data loading, but it does not support the use of aliases in the source file.
  • D. Auto-Match Measures is a feature that allows for the mapping of measures from the source file to existing Target Application measures during data loading, but it requires that the measure names in the source file match exactly with the measure names in the Target Application.

Answer: A

Explanation:
Option 1: This option is incorrect because Auto-Match Measures can be used with both CSV and Excel files. Option 2: This option is incorrect because Auto-Match Measures does support the use of aliases in the source file. Option 3: This option is incorrect because Auto-Match Measures allows for partial matching of measure names and also has the option to create new measures if no match can be found. Option 4: This option is correct because it accurately describes the Auto-Match Measures feature and its capabilities.


NEW QUESTION # 180
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