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NEW QUESTION # 85
For which purpose would you create a Graphical View?
Please choose the correct answer.
Response:
Answer: A
NEW QUESTION # 86
Which of the following can you do with an SAP Datasphere Data Flow? Note: There are 3 correct answers to this question.
Answer: A,B,E
Explanation:
An SAP Datasphere Data Flow is a highly versatile and powerful tool for data integration, transformation, and loading. With a Data Flow, you can effectively integrate data from different sources into one table (B). This is a fundamental capability, allowing you to combine data from various tables, views, or even external connections, apply transformations, and consolidate it into a single target table. Another advanced capability is to fill different target tables in parallel (D). Data Flows are designed to handle complex scenarios efficiently, and this parallelism optimizes performance when you need to populate multiple destination tables simultaneously from a single flow. Furthermore, Data Flows support extensibility, allowing you to use a Python script for data transformation (E). This enables advanced, custom data manipulation logic that might not be available through standard graphical operations, providing immense flexibility for complex business rules. Writing data to a different Datasphere tenant (A) is not a direct capability of a Data Flow, and deleting records from a target table (C) is typically handled via specific operations within the target table's management or through SQL scripts rather than a standard data flow write operation.
NEW QUESTION # 87
What features are supported by the SAP Analytics Cloud data analyzer? Note: There are 3 correct answers to this question.
Answer: B,C,D
Explanation:
The SAP Analytics Cloud Data Analyzer is designed for ad-hoc data exploration and analysis, providing a focused environment for users to quickly derive insights. Among its key supported features are calculated measures, which allow users to create new metrics on the fly based on existing data, enabling deeper analysis without modifying the underlying model. Input controls are also supported, providing interactive filtering capabilities that allow users to dynamically adjust the data displayed based on specific criteria, enhancing the flexibility of their analysis. Furthermore, conditional formatting is a valuable feature that enables users to apply visual styling (e.g., colors, icons) to data points based on defined rules, making it easier to identify trends, outliers, or specific conditions at a glance. While charts and linked dimensions are integral to full stories, the Data Analyzer's strength lies in its immediate, flexible analytical capabilities for a single data source.
NEW QUESTION # 88
In the SAP Analytics Cloud Catalog, what access do you have to the files?
Please choose the correct answer.
Response:
Answer: B
NEW QUESTION # 89
Which features of Business Builder enhance semantic modeling?
There are 2 correct answers to this question.
Response:
Answer: B,C
NEW QUESTION # 90
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