ACTUAL SAP C-SAC-2415 EXAM DUMPS - ACHIEVE SUCCESS IN EXAM

Actual SAP C-SAC-2415 Exam Dumps - Achieve Success In Exam

Actual SAP C-SAC-2415 Exam Dumps - Achieve Success In Exam

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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q34-Q39):

NEW QUESTION # 34
Which dimension type can you use like a measure?

  • A. Account
  • B. Organization
  • C. Entity
  • D. Date

Answer: A

Explanation:
In SAP Analytics Cloud, the Account dimension can be used similarly to a measure. This dimension is specifically designed for financial data and can hold various types of financial metrics, such as revenues, expenses, assets, and liabilities. It allows for the application of financial calculations and aggregations, which is why it can function similarly to measures in the context of financial reporting and analysis.
Reference:
SAP Analytics Cloud Help Documentation: Understanding Dimensions and Measures SAP Analytics Cloud User Guide: Working with Account Dimensions


NEW QUESTION # 35
What can you use input controls for in a story? Note: There are 2 correct answers to this question.

  • A. Filtering data on a page
  • B. Changing dimensions or measures displayed in a table
  • C. Implementing row-level and column-level security in a table
  • D. Selecting an alternate data source

Answer: A,B

Explanation:
Input controls in a story in SAP Analytics Cloud can be used for changing dimensions or measures displayed in a table and for filtering data on a page. Input controls provide a way for users to interactively modify the view of the data, such as selecting which dimensions or measures to display, or filtering the entire page's content based on selected criteria, enhancing the interactivity and flexibility of data analysis within stories.
Reference:
SAP Analytics Cloud Help Documentation: Input Controls in Stories
SAP Analytics Cloud User Guide: Using Input Controls for Data Interaction


NEW QUESTION # 36
You are designing a new story. You want the size and position of widgets to adjust dynamically for viewing on different devices and screen sizes. Which page type must you use?

  • A. Grid
  • B. Canvas
  • C. Responsive
  • D. Composite

Answer: C

Explanation:
For designing a new story in SAP Analytics Cloud where the size and position of widgets need to adjust dynamically for different devices and screen sizes, the Responsive page type should be used. Responsive pages automatically adapt to the screen size of the device they are viewed on, providing an optimal viewing experience across desktops, tablets, and smartphones.
Reference:
SAP Analytics Cloud Help Documentation: Responsive Design in Stories
SAP Analytics Cloud User Guide: Building Responsive Pages


NEW QUESTION # 37
What can you use to perform cell-based calculations in a story?

  • A. Restricted measures
  • B. Table formulas
  • C. Dimension formulas
  • D. Calculated measures

Answer: B

Explanation:
Table formulas in SAP Analytics Cloud are used to perform cell-based calculations within a story. These formulas can be applied directly to table cells, allowing for customized calculations that are specific to the data presented in the table. This feature is particularly useful for ad-hoc analysis and when specific calculations are needed that are not covered by predefined measures or dimensions.
Reference:
SAP Analytics Cloud Help Documentation: Using Table Formulas
SAP Analytics Cloud User Guide: Cell-Based Calculations in Stories


NEW QUESTION # 38
Your embedded dataset in SAP Analytics Cloud has columns for Country, Region, City, and Customer Name. You want to aggregate measures for these columns as a single column. What can you do?

  • A. Create a group that includes the dimensions.
  • B. Create a parent-child hierarchy in the dataset.
  • C. Create a level-based hierarchy in the dataset.
  • D. Convert the embedded dataset to a model.

Answer: C

Explanation:
To aggregate measures for columns such as Country, Region, City, and Customer Name as a single column in an embedded dataset, creating a level-based hierarchy is the most effective approach. This type of hierarchy allows you to define a multi-level structure that represents the logical relationship between different geographical entities and customer names. By doing so, you can easily perform aggregations and analyze data at various levels of detail, from the broadest level (e.g., Country) down to the most specific one (e.g., Customer Name).
Reference:
SAP Analytics Cloud Help Documentation: Creating Hierarchies in Models
SAP Analytics Cloud User Guide: Data Modeling and Hierarchies


NEW QUESTION # 39
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