[2024] Pass SAP C-SAC-2415 Exam in First Attempt Easily [Q18-Q38]

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[2024] Pass SAP C-SAC-2415 Exam in First Attempt Easily

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NEW QUESTION # 18
You are creating a data action to copy data from one year to the next.In the parameter for the source year, which default setting must you change?

  • A. Level
  • B. Granularity
  • C. Hierarchy
  • D. Cardinality

Answer: D


NEW QUESTION # 19
You are creating a styling rule for a table. What is the context?

  • A. The table header
  • B. The highest level in the table
  • C. The location of the cursor
  • D. The most granular level in the table

Answer: C


NEW QUESTION # 20
Which programming language is used for scripting in an SAP Analytics Cloud story?

  • A. ABAP
  • B. Python
  • C. Wrangling Expression Language
  • D. JavaScript

Answer: D


NEW QUESTION # 21
You input new data for a private version in a story. What must you do to ensure the new data is added to the model?

  • A. Publish
  • B. Send
  • C. Save
  • D. Nothing

Answer: A

Explanation:
When inputting new data for a private version in a story in SAP Analytics Cloud, it is necessary to "Publish" the data to ensure it is added to the model. Publishing the private version commits the changes to the underlying model, making the new data visible and accessible to other users according to their permissions. This step is crucial for ensuring that the updated data is incorporated into the shared model for further analysis and decision-making.
Reference:
SAP Analytics Cloud Help Documentation: Private Versions and Publishing SAP Analytics Cloud User Guide: Working with Private Versions in Stories


NEW QUESTION # 22
When scrolling down in a long table, how can you retain column headers? Note: There are 2 correct answers to this question.

  • A. Freeze Up to row
  • B. Freeze Up to column
  • C. Enable Auto-Size And Page Table Vertically
  • D. Enable Keeping member names visible

Answer: A,B


NEW QUESTION # 23
Your story takes a long time to open. What could cause this? Note: There are 3 correct answers to this question.

  • A. Large calculation scope
  • B. Many data sources
  • C. Many hyperlinks
  • D. Complex formatting
  • E. Many story filters

Answer: B,D,E


NEW QUESTION # 24
You are creating an allocation step to distribute expenses from the HR cost center to your operating cost centers. Which dimension setting controls how much is distributed to each operating cost center?

  • A. Driver
  • B. Reference
  • C. Distribute
  • D. Redistribute

Answer: A

Explanation:
In the context of creating an allocation step to distribute expenses from the HR cost center to operating cost centers in SAP Analytics Cloud, the "Driver" dimension setting is crucial. This setting determines the basis or criteria on which the distribution is calculated and applied to each operating cost center. For instance, the driver could be the number of employees, square footage, or any other relevant metric that justifies the distribution of costs. By defining a driver, you ensure that the allocation of expenses is proportional and fair based on the selected criteria.
Reference:
SAP Analytics Cloud Help Documentation: Allocation Steps in Planning
SAP Analytics Cloud User Guide: Using Drivers for Allocation


NEW QUESTION # 25
The SAP Analytics Cloud (SAC) modeler has removed the first three characters from an SAP Analytics Cloud public dimension imported from a source system. What is impacted by this change?

  • A. Source system
  • B. Public datasets
  • C. Stories
  • D. Embedded data sets

Answer: C

Explanation:
When the SAP Analytics Cloud (SAC) modeler removes the first three characters from a public dimension imported from a source system, this change impacts Stories that use this dimension. Specifically, any visualizations, calculations, or filters within those stories that rely on the original dimension values may need to be adjusted to account for the change. This modification does not affect the source system or public datasets directly, but it can impact how the data appears and behaves in stories that use the modified dimension.
Reference:
SAP Analytics Cloud Help Documentation: Modifying Dimensions
SAP Analytics Cloud User Guide: Impact of Dimension Changes on Stories


NEW QUESTION # 26
You are creating a new public version. Which categories can you use? Note: There are 2 correct answers to this question.

  • A. Predictive
  • B. Budget
  • C. Forecast
  • D. Actual

Answer: B,D


NEW QUESTION # 27
Which features are available in the Optimized Design Experience? Note: There are 3 correct answers to this question.

  • A. Linked widgets diagram
  • B. Composites
  • C. Explorer
  • D. Undo button
  • E. Grid pages

Answer: A,B,D


NEW QUESTION # 28
Which automatically created dimension type can you delete from an analytic data model?

  • A. Date
  • B. Organization
  • C. Generic
  • D. Version

Answer: C

Explanation:
In an analytic data model within SAP Analytics Cloud, the automatically created dimension type that you can delete is the Generic dimension. This type of dimension is typically used for custom or ad-hoc categorizations and, unlike system-generated dimensions like Date or Version, can be modified or removed as per the specific needs of your data model and analysis requirements.
Reference:
SAP Analytics Cloud Help Documentation: Data Model Dimensions
SAP Analytics Cloud User Guide: Managing Dimensions in Analytic Models


NEW QUESTION # 29
You are using a live connection for a model. Where is the data stored?

  • A. Public dataset
  • B. Embedded data set
  • C. SAP Analytics Cloud model
  • D. Source system

Answer: D

Explanation:
Connections and data preparation
When using a live connection in SAP Analytics Cloud, the data remains stored in the source system. This means that no data is imported or replicated into SAP Analytics Cloud; instead, it is accessed and analyzed in real-time directly from the source system. This approach ensures that the most current data is always used for analysis and that data governance and security policies of the source system remain in control.
Reference:
Live Data Connections to SAP S/4HANA | SAP Help Portal1
SAP Analytics Cloud Connection Guide2
SAP Analytics Cloud Data Connections - InsightCubes
In the context of SAP Analytics Cloud, when using a live connection to connect to a data source, the data remains stored in the source system. This setup means that SAP Analytics Cloud directly queries the data in its original location, without importing or copying it into the SAP Analytics Cloud environment. This approach is advantageous for several reasons, including maintaining a single source of truth, reducing data redundancy, and ensuring data is always up-to-date without the need for synchronization processes. Live connections are particularly useful for real-time or near-real-time data analysis and reporting, providing insights based on the most current data available without the overhead of data replication.
SAP Analytics Cloud documentation and user guides typically emphasize the benefits and use cases of live connections, highlighting how they maintain data in the source system to ensure real-time data access and analysis.
SAP training materials for Data Analysts using SAP Analytics Cloud, including study guides and official certification resources, explain the technical and practical aspects of live connections, including where data is stored and how it is accessed.
Best practice guides for SAP Analytics Cloud, often available through the SAP Community or SAP Knowledge Base, provide insights and recommendations on setting up and using live connections, reinforcing the concept that data stays in the source system.


NEW QUESTION # 30
You have a dimension with members for product groups and products. Each product group has associated products. You want to plan by product group without disaggregating into the products. How can you do this?

  • A. Dis-able allocations
  • B. Dis-able distribution
  • C. Use two hierarchies
  • D. Use two properties

Answer: C


NEW QUESTION # 31
You want to total several income and expense accounts using the account type property.
What configuration option in the advanced formula must you use?

  • A. Append
  • B. Unbooked
  • C. Aggregate To
  • D. Signflip

Answer: D


NEW QUESTION # 32
What can you do to reduce the data refresh time when opening a story? Note: There are 3 correct answers to this question.

  • A. Use responsive pages
  • B. Load widgets in the background
  • C. Avaid tables with more than 500 rows and 60 columns
  • D. Avaid prompts
  • E. Use conditional formatting

Answer: B,C,E


NEW QUESTION # 33
Which dimension type can you use like a measure?

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

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 # 34
You want to use an input control to filter data appearing in a story. At what level is the filter applied?

  • A. Story
  • B. Component
  • C. Page
  • D. Calculation

Answer: C

Explanation:
When using an input control to filter data in a SAP Analytics Cloud story, the filter is applied at the Page level. This means that the selected filter criteria will affect all the components (tables, charts, etc.) on that particular page, allowing for a cohesive and consistent view of the data filtered according to the chosen parameters.
Reference:
SAP Analytics Cloud Help Documentation: Filtering Data with Input Controls SAP Analytics Cloud User Guide: Page-Level Filtering in Stories


NEW QUESTION # 35
You have a column chart in a story. You notice some of the labels are missing until you mouse over the data point. How can you ensure that the labels are always visible?

  • A. Increase the font size of the axis labels
  • B. Select the Avoid Data Label Overlap checkbox
  • C. Increase the overall size of the chart widget on the page

Answer: B

Explanation:
To ensure that labels are always visible on a column chart in a story, you should select the "Avoid Data Label Overlap" checkbox in the chart's settings. This option adjusts the labels' positioning to prevent overlap, making them visible at all times without the need for mouse-over interaction.
Reference:
SAP Analytics Cloud Help Documentation: Chart Design and Label Management SAP Analytics Cloud User Guide: Enhancing Data Label Visibility in Charts


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. Responsive
  • C. Composite
  • D. Canvas

Answer: B

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 must a data model contain in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

  • A. Measures
  • B. Calculations
  • C. Hierarchies
  • D. Dimensions

Answer: A,D

Explanation:
In SAP Analytics Cloud, a data model must contain at least "Dimensions" and "Measures" to be functional. Dimensions are the qualitative aspects of the data (e.g., time, geography, product categories) that provide the context for analysis. Measures, on the other hand, are the quantitative data points (e.g., sales, costs, quantities) that are analyzed within the context provided by dimensions. Both are fundamental components of a data model, enabling structured data analysis and reporting.
Reference:
SAP Analytics Cloud Help Documentation: Building Data Models
SAP Analytics Cloud User Guide: Understanding Dimensions and Measures in Models


NEW QUESTION # 38
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