[Dec-2024] C_SAC_2415 Dumps Full Questions - SAP Certified Associate Exam Study Guide
Exam Questions and Answers for C_SAC_2415 Study Guide
SAP C_SAC_2415 Exam Syllabus Topics:
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NEW QUESTION # 36
You want to use an input control to filter data appearing in a story. At what level is the filter applied?
- A. Calculation
- B. Component
- C. Story
- D. Page
Answer: D
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 # 37
You have a dataset that extracts data from an SAP Business Warehouse (SAP BW) system. The data in the SAP BW system changes. How can you update the dataset?
- A. You must create a new dataset.
- B. You must refresh the story that uses the dataset.
- C. You can schedule the dataset to update on a regular basis.
- D. You must manually reimport the data.
Answer: C
Explanation:
For datasets that extract data from external systems like SAP Business Warehouse (SAP BW), SAP Analytics Cloud provides the capability to schedule updates on a regular basis. This feature ensures that the dataset within SAP Analytics Cloud remains up-to-date with the latest changes from the SAP BW system, without the need for manual reimport or creating a new dataset. Scheduled updates can be configured to run at specific intervals, automating the data refresh process.
Reference:
SAP Analytics Cloud Help Documentation: Scheduling Data Refresh
SAP Analytics Cloud User Guide: Automating Dataset Updates from External Sources
NEW QUESTION # 38
You have a story based on an import model. The transaction data in the model's data source changes. How can you update the data in the model? Note: There are 2 correct answers to this question.
- A. Allow model import
- B. Schedule the import
- C. Refresh the story
- D. Refresh the import job
Answer: B,C
Explanation:
To update the data in a model based on an import connection, two main approaches can be used:
Refresh the story: This action forces SAP Analytics Cloud to reload the data for the visualizations in a story, pulling in the most recent data available in the model. This is a manual process initiated by the user.
Schedule the import: This option allows users to set up a recurring data import schedule, ensuring the model is regularly updated with the latest data from the source system. This automated process helps maintain data freshness without manual intervention.
Both methods ensure that the story reflects the most current data, accommodating changes in the transaction data of the model's data source.
NEW QUESTION # 39
In a planning data model, what dimensions are included by default? Note: There are 2 correct Answers to this question.
- A. Entity
- B. Organization
- C. Version
- D. Date
Answer: C,D
Explanation:
In a planning data model in SAP Analytics Cloud, the Date and Version dimensions are included by default. The Date dimension is essential for time-based planning and analysis, while the Version dimension allows for the creation and management of different data scenarios, such as budget, forecast, and actuals. These dimensions provide a foundational structure for planning activities within the model.
Reference:
SAP Analytics Cloud Help Documentation: Planning Data Model Basics
SAP Analytics Cloud User Guide: Understanding Default Dimensions in Planning Models
NEW QUESTION # 40
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. Embedded
- C. Standalone
- D. Planning
Answer: A,D
NEW QUESTION # 41
For which activities must you enable Advanced Mode in story design? Note: There are 2 correct answers to this question.
- A. Add a custom widget
- B. Add a popup
- C. Add JavaScript to a button
- D. Add a layer to a geo map
Answer: B,C
NEW QUESTION # 42
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 # 43
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 Children
- B. Self and Descendants
- C. Self and Siblings
- D. Self
Answer: D
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 # 44
Which calculation types include dynamic date options? Note: There are 2 correct answers to this Question.
- A. Difference From
- B. Aggregation
- C. Restricted Measure
- D. Date Difference
Answer: A,C
NEW QUESTION # 45
In which types of data source can you concatenate data? Note: There are 3 correct answers to this question.
- A. Live data model
- B. Data analyzer insight
- C. Standalone dataset
- D. Imported data model
- E. Embedded data set
Answer: C,D,E
Explanation:
In SAP Analytics Cloud, data concatenation can be performed on Embedded datasets, Standalone datasets, and Imported data models. This process involves combining data from multiple sources or tables into a single dataset or model, providing a unified view of the data. This is particularly useful for analyses that require a comprehensive dataset compiled from various data sources.
Reference:
SAP Analytics Cloud Help Documentation: Working with Datasets
SAP Analytics Cloud User Guide: Concatenating Data in Models and Datasets
NEW QUESTION # 46
You are using a live connection for a model. Where is the data stored?
- A. Source system
- B. Public dataset
- C. SAP Analytics Cloud model
- D. Embedded data set
Answer: A
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 # 47
Where can you create a blank planning version?
- A. In a data cell
- B. In version management
- C. In the planning model
- D. In the version dimension
Answer: B
Explanation:
A blank planning version in SAP Analytics Cloud can be created within the Version Management feature. This area of the platform allows users to manage different versions of their data, such as budgets, forecasts, and what-if scenarios. Creating a blank version provides a clean slate for planning activities, without pre-existing data, enabling users to start fresh with their assumptions and inputs.
Reference:
SAP Analytics Cloud Help Documentation: Version Management in Planning
SAP Analytics Cloud User Guide: Creating New Versions for Planning
NEW QUESTION # 48
In a data model, what can you use to further describe a dimension?
- A. Variable
- B. Data action
- C. Property
- D. Measure
Answer: C
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 # 49
What features are supported by data analyzer? Note: There are 3 correct answers to this question.
- A. Charts
- B. Calculated measures
- C. Linked dimensions
- D. Input controls
- E. Conditional formatting
Answer: A,B,E
NEW QUESTION # 50
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 # 51
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. Fluid
- B. Mass
- C. Single
Answer: A
NEW QUESTION # 52
You are creating a script for an advanced data action. Which character designates a virtual variable member?
- A. *
- B. #
- C. /
- D. %
Answer: C
NEW QUESTION # 53
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 conditional formatting
- B. Avaid prompts
- C. Load widgets in the background
- D. Use responsive pages
- E. Avaid tables with more than 500 rows and 60 columns
Answer: A,C,E
NEW QUESTION # 54
You want to display differences between measures in a chart. What can you use?
- A. Variance
- B. Reference line
- C. Threshold
- D. Restricted measure
Answer: A
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 # 55
What is required to use version management in a story?
- A. Optimized mode
- B. Analytic model
- C. Classic mode
- D. Planning model
Answer: D
Explanation:
Reference:
SAP Analytics Cloud Help Documentation: Version Management in Planning
SAP Analytics Cloud User Guide: Using Planning Models for Versioning
NEW QUESTION # 56
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 # 57
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. Stories
- C. Public datasets
- D. Embedded data sets
Answer: B
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 # 58
What can you use to perform cell-based calculations in a story?
- A. Dimension formulas
- B. Restricted measures
- C. Calculated measures
- D. Table formulas
Answer: D
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 # 59
What must a data model contain in SAP Analytics Cloud? Note: There are 2 correct answers to this question.
- A. Dimensions
- B. Calculations
- C. Measures
- D. Hierarchies
Answer: A,C
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 # 60
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