Which programming language is used for scripting in an SAP Analytics Cloud story?
Correct Answer: D
JavaScript is the programming language utilized for scripting within an SAP Analytics Cloud (SAC) story. While SAC offers various functionalities through its intuitive user interface, scripting with JavaScript provides advanced capabilities for customizing the behavior and interactivity of a story. This allows developers and power users to create highly tailored analytical applications and dashboards that go beyond standard features. For instance, JavaScript can be used to dynamically change chart properties, implement complex filtering logic, trigger data actions, or integrate with external services. Unlike analytic applications, which typically offer more extensive scripting options, storytelling in SAC focuses on enabling business users to create interactive reports with a degree of customization through embedded scripts. The scripts are executed by the web browser, leveraging its built-in JavaScript execution engine, ensuring a flexible and widely understood development environment for enhancing story functionality.
Question 32
What elements make up the framework for viewing data in SAP Analytics Cloud? There are 2 correct answers to this question. Response:
Correct Answer: A,C
Question 33
Which of the following statements about SAP Analytics Cloud compass are true? There are 2 correct answers to this question. Response:
Correct Answer: B,C
Question 34
What are the primary purposes of SAP Business Data Cloud? There are 2 correct answers to this question. Response:
Correct Answer: A,C
Question 35
For which purposes is a database user required in SAP Datasphere? Note: There are 2 correct answers to this question.
Correct Answer: A,D
A database user in SAP Datasphere serves specific technical and security-related purposes that are distinct from typical modeling activities within the Data Builder. One primary purpose is to directly access the SAP HANA Cloud database of SAP Datasphere. For advanced scenarios, such as debugging, executing complex SQL scripts directly, or integrating with specialized tools that require direct database connectivity, a dedicated database user is essential. This access bypasses the higher-level Datasphere modeling environment and interacts directly with the underlying SAP HANA Cloud instance. Another crucial purpose is to provide a secure method for data exchange for 3rd party tools. When external applications, reporting tools, or data integration platforms need to consume data from or write data into SAP Datasphere's underlying database, a database user provides the necessary authentication and authorization mechanism. This ensures that data exchange is secure and controlled, adhering to defined permissions. Creating graphical views (B) is done via the Datasphere UI with a Datasphere user, and accessing all schemas (C) would typically require broad administrative privileges, which might be granted to specific database users, but the core purpose is controlled access, not carte blanche.
