SAP C_BCBDC_2505 Exam SAP Certified Associate - SAP Business Data Cloud Exam Latest Version: 7.1 DEMO Version Full Version Features: • 90 Days Free Updates • 30 Days Money Back Guarantee • Instant Download Once Purchased • 24 Hours Live Chat Support Full version is available at link below with affordable price. https://www.directcertify.com/sap/c_bcbdc_2505 Page 1 of 6 https://www.directcertify.com/sap/c_bcbdc_2505 Question 1. (Single Select) Which programming language is used for scripting in an SAP Analytics Cloud story? A: Wrangling Expression Language B: ABAP C: Python D: JavaScript Correct Answer: D Explanation: 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 2. (Multi Select) What features are supported by the SAP Analytics Cloud data analyzer? Note: There are 3 correct answers to this question. A: Calculated measures B: Input controls C: Conditional formatting D: Charts Page 2 of 6 https://www.directcertify.com/sap/c_bcbdc_2505 E: Linked dimensions Correct Answer: A, B, C 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. Question 3. (Single Select) Which automatically created dimension type can you delete from an SAP Analytics Cloud analytic data model? A: Generic B: Date C: Version D: Organization Correct Answer: A Explanation: In an SAP Analytics Cloud (SAC) analytic data model, you typically have a degree of flexibility in managing dimensions. Among the automatically created dimension types, the Generic dimension can often be deleted if it's not relevant or desired for your analysis. Generic dimensions are often generated by the system based on identified data patterns but might not Page 3 of 6 https://www.directcertify.com/sap/c_bcbdc_2505 always align with specific business requirements or be redundant. In contrast, Date, Version, and Organization dimensions are fundamental and often system-critical, especially for planning models (Version, Organization) or time-based analysis (Date). These core dimensions are usually not freely deletable or are required by the system for specific functionalities. Therefore, for tailoring your analytic model to specific business needs, the ability to remove generic dimensions provides greater control and simplification. Question 4. (Multi Select) In an SAP Analytics Cloud planning data model, which dimensions are included by default? Note: There are 2 correct answers to this question. A: Organization B: Version C: Entity D: Date Correct Answer: B, D Explanation: When creating a planning data model in SAP Analytics Cloud (SAC), certain dimensions are included by default to facilitate common planning scenarios. The two key dimensions automatically present are Version and Date. The Version dimension is crucial for distinguishing between different planning scenarios, such as "Actual," "Budget," "Forecast," or "Plan 2025," allowing users to compare and manage various iterations of their planning data. The Date dimension, on the other hand, is essential for time-based planning and analysis, enabling data entry, aggregation, and reporting across different time granularities like years, quarters, months, or days. These default dimensions provide a robust framework for financial and operational planning, serving as foundational elements around which planning activities are structured, and ensuring consistency and comparability across different planning versions and time periods. Question 5. (Single Select) Page 4 of 6 https://www.directcertify.com/sap/c_bcbdc_2505 What is required to use version management in an SAP Analytics Cloud story? A: Analytic model B: Classic mode C: Optimized mode D: Planning model Correct Answer: D Explanation: To leverage version management capabilities within an SAP Analytics Cloud (SAC) story, it is a fundamental requirement that the story is built on a planning model. Version management is a core feature specifically designed for planning functionalities. It enables users to create, manage, and compare different scenarios or iterations of data, such as "Actual," "Budget," "Forecast," or various planning versions. This is critical for budgeting, forecasting, and what-if analysis, allowing planners to work on different data sets concurrently and track changes over time. While analytic models are used for general reporting and analysis, they do not inherently support the robust version management features that are integral to planning processes. Therefore, if you intend to utilize version management to compare different data scenarios or manage planning cycles, your SAC story must be connected to a planning model. Page 5 of 6 https://www.directcertify.com/sap/c_bcbdc_2505 Full version is available at link below with affordable price. https://www.directcertify.com/sap/c_bcbdc_2505 30% Discount Coupon Code: LimitedTime2025 Page 6 of 6 https://www.directcertify.com/sap/c_bcbdc_2505