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C_SAC_2415 Updated Exam Dumps [2025] Practice Valid Exam Dumps Question
NEW QUESTION # 34
You have a live data model with two dimensions: Firstname and Lastname. Users want a single dimension in the data model that displays the dimensions as Lastname, Firstname. What must you do?
- A. Create the combined data in the source system.
- B. Create a calculated dimension in the story.
- C. Group the Firstname and Lastname in the data model.
- D. Create a calculated dimension in the data model.
Answer: D
Explanation:
To combine two dimensions, Firstname and Lastname, into a single dimension displaying as Lastname, Firstname in a live data model, you should create a calculated dimension in the data model. This calculated dimension will concatenate the two fields into one, according to the specified format. This approach allows for the creation of a new dimension that can be used across various reports and analyses within the model, maintaining the integrity of the original dimensions.
Reference:
SAP Analytics Cloud Help Documentation: Creating Calculated Dimensions
SAP Analytics Cloud User Guide: Data Modeling Best Practices
NEW QUESTION # 35
Where can you change a data lock status? Note: There are 2 correct answers to this question.
- A. Data action
- B. Calendar task
- C. Value lock management
- D. Multi action
Answer: B,D
NEW QUESTION # 36
How can you limit the refresh time of a story?
- A. Use canvas pages
- B. Implement a value driver tree
- C. Collapse the hierarchy
- D. Create calculated measures
Answer: C
Explanation:
Collapsing the hierarchy in a story can help limit the refresh time, as it reduces the amount of data that needs to be processed and displayed at any given time. By presenting data at a higher aggregation level initially, you can improve performance and allow users to expand specific sections of the hierarchy as needed for more detailed analysis.
Reference:
SAP Analytics Cloud Help Documentation: Improving Story Performance
SAP Analytics Cloud User Guide: Managing Data Hierarchy for Performance
NEW QUESTION # 37
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. Convert the embedded dataset to a model.
- B. Create a level-based hierarchy in the dataset.
- C. Create a group that includes the dimensions.
- D. Create a parent-child hierarchy in the dataset.
Answer: B
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 # 38
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 story filters
- D. Many hyperlinks
- E. Complex formatting
Answer: B,C,E
NEW QUESTION # 39
In a data model, what can you use to further describe a dimension?
- A. Variable
- B. Data action
- C. Measure
- D. Property
Answer: D
Explanation:
In a data model within SAP Analytics Cloud, Properties are used to further describe dimensions. Properties provide additional context or metadata for dimension members, such as descriptions, classifications, or other attributes that help to better understand and analyze the data within the dimension. This makes properties essential for detailed data analysis and reporting.
Reference:
SAP Analytics Cloud Help Documentation: Dimension Properties
SAP Analytics Cloud User Guide: Enhancing Dimensions with Properties
NEW QUESTION # 40
What can you do with a multi action? Note: There are 2 correct answers to this question.
- A. Import transaction data
- B. Run allocation processes
- C. Approve data
- D. Run allocation data actions
Answer: A,D
NEW QUESTION # 41
You want to save your data analyzer result. What is it saved as?
- A. Story
- B. Dataset
- C. Insight
- D. Model
Answer: C
NEW QUESTION # 42
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. Canvas
- B. Composite
- C. Responsive
- D. Grid
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 # 43
What must you use to transform data in a dataset using if/then/else logic?
- A. Custom expression editor
- B. Calculations editor
- C. Formula bar
- D. Transform bar
Answer: A
Explanation:
To transform data in a dataset using if/then/else logic in SAP Analytics Cloud, you must use the Custom expression editor. This tool allows you to write complex logical conditions and perform conditional data transformations. The steps involved are:
Open the dataset you want to transform.
Navigate to the "Custom expression editor".
Write your if/then/else logic using the syntax supported by SAP Analytics Cloud. For example:
IF([Sales] > 1000, "High", "Low")
Apply the expression to the relevant column.
Validate and save your changes.
This approach allows for flexibility and precision in transforming your data based on specific conditions.
Reference:
SAP Help Portal: SAP Analytics Cloud
Official SAP Analytics Cloud Documentation
NEW QUESTION # 44
You are creating a styling rule for a table with a hierarchy of Country, Region, and City. You want to apply the styling rule only to countries. Which level option must you use?
- A. Self and Descendants
- B. Self
- C. Self and Children
- D. Self and Siblings
Answer: B
Explanation:
To apply a styling rule only to countries in a table with a hierarchy of Country, Region, and City in SAP Analytics Cloud, you must use the "Self" level option. This option ensures that the styling rule is applied specifically to the level of the hierarchy representing countries, without affecting the styling of regions, cities, or any other hierarchical levels.
Reference:
SAP Analytics Cloud Help Documentation: Styling Hierarchical Tables
SAP Analytics Cloud User Guide: Hierarchical Styling Options
NEW QUESTION # 45
Which of the following data sources can you use in SAP Analytics Cloud data analyzer? Note: There are 3 correct answers to this question.
- A. SAP Datasphere model
- B. SAP Analytics Cloud analytic model
- C. SAP Analytics Cloud public dataset
- D. SAP HANA view
- E. SAP BusinessObjects Universe
Answer: A,B,D
NEW QUESTION # 46
You have a story in My Files. You want your colleague to review and comment on the story. What must you do?
- A. Include the story in a Discussion
- B. Create a Review task for the story
- C. Add a Comment widget to the story
- D. Share with View access
Answer: C
NEW QUESTION # 47
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. Increase the overall size of the chart widget on the page
- C. Select the Avoid Data Label Overlap checkbox
Answer: C
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 # 48
What account types use the average rate type? Note: There are 2 correct answers to this question.
- A. LEQ
- B. INC
- C. EXP
- D. AST
Answer: B,C
NEW QUESTION # 49
You need to delete characters from a column in a dataset. What can you use? Note: There are 2 correct answers to this question.
- A. Custom expression editor
- B. Calculation editor
- C. Transform bar
- D. Formula bar
Answer: A,C
NEW QUESTION # 50
You are creating a new public version. Which categories can you use? Note: There are 2 correct answers to this question.
- A. Budget
- B. Forecast
- C. Predictive
- D. Actual
Answer: A,D
NEW QUESTION # 51
Your users need to analyze data in a story. What kinds of data models can you create? Note: There are 2 correct answers to this question.
- A. Analytic
- B. Planning
- C. Embedded
- D. Standalone
Answer: A,B
NEW QUESTION # 52
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. Nothing
- D. Save
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 # 53
You are using a live connection for a model. Where is the data stored?
- A. SAP Analytics Cloud model
- B. Public dataset
- C. Embedded data set
- 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 # 54
You are entering values for several expense accounts in a data table. Which data entry mode must you use to process the data with a delay defined in System Administration?
- A. Mass
- B. Single
- C. Fluid
Answer: C
NEW QUESTION # 55
You want to display differences between measures in a chart. What can you use?
- A. Restricted measure
- B. Reference line
- C. Threshold
- D. Variance
Answer: D
Explanation:
To display differences between measures in a chart within SAP Analytics Cloud, you can use the Variance feature. Variance helps to highlight the differences or gaps between two data points or measures, making it easier to identify trends, outliers, or areas requiring attention in visual representations like charts.
Reference:
SAP Analytics Cloud Help Documentation: Variance Analysis in Charts
SAP Analytics Cloud User Guide: Displaying Measure Differences Using Variance
NEW QUESTION # 56
Which automatically created dimension type can you delete from an analytic data model?
- A. Date
- B. Generic
- C. Organization
- D. Version
Answer: B
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 # 57
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. Use two properties
- B. Use two hierarchies
- C. Dis-able allocations
- D. Dis-able distribution
Answer: B
NEW QUESTION # 58
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