New 2025 Realistic Free SAP C_SAC_2421 Exam Dump Questions and Answer
C_SAC_2421 Practice Test Engine: Try These 62 Exam Questions
NEW QUESTION # 18
Which calculation types include dynamic date options? Note: There are 2 correct answers to this Question.
- A. Restricted Measure
- B. Date Difference
- C. Difference From
- D. Aggregation
Answer: A,C
NEW QUESTION # 19
To which story elements can you apply conditional formatting? Note: There are 2 correct answers to this question.
- A. Lane
- B. Composite
- C. Chart
- D. Table
Answer: C,D
Explanation:
In SAP Analytics Cloud stories, conditional formatting can be applied to Table and Chart elements. This feature allows users to visually highlight data points based on specific conditions, such as thresholds, ranges, or comparisons, making it easier to identify trends, outliers, or areas of interest within the data presented in tables and charts.
Reference:
SAP Analytics Cloud Help Documentation: Conditional Formatting
SAP Analytics Cloud User Guide: Applying Conditional Formatting to Tables and Charts
NEW QUESTION # 20
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 manually reimport the data.
- C. You can schedule the dataset to update on a regular basis.
- D. You must refresh the story that uses the dataset.
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 # 21
You import data into a dataset. One of the columns imported is Year, and SAP Analytics Cloud interprets it as a measure. How can you ensure that it is treated as a calendar year?
- A. Add the month as a suffix to the Year measure.
- B. Insert a character into the Year measure using the transform bar.
- C. Includes the Year measure in a level-based time hierarchy in the dataset.
- D. Change the Year measure to a dimension in the dataset.
Answer: D
Explanation:
If SAP Analytics Cloud interprets a 'Year' column as a measure instead of a dimension, it should be changed to a dimension to ensure it is treated as a calendar year. This adjustment can be made within the model or dataset settings, where the column's role can be switched from a measure (quantitative value) to a dimension (qualitative value). Treating 'Year' as a dimension allows it to be used appropriately in time-based analyses, such as trends over time, without being aggregated like a numerical measure.
NEW QUESTION # 22
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 # 23
What features are supported by data analyzer? Note: There are 3 correct answers to this question.
- A. Charts
- B. Linked dimensions
- C. Calculated measures
- D. Input controls
- E. Conditional formatting
Answer: A,C,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. Distribute
- C. Redistribute
- D. Reference
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
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 level-based hierarchy in the dataset.
- C. Create a parent-child hierarchy in the dataset.
- D. Convert the embedded dataset to a model.
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 # 26
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. Planning
- B. Analytic
- C. Embedded
- D. Standalone
Answer: A,B
NEW QUESTION # 27
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 # 28
How can you determine node relationships in a value driver tree? Note: There are 2 correct answers to this question.
- A. Use a calculated member
- B. Use a story calculated measure
- C. Use a dimension hierarchy
- D. Use a model converted measure
Answer: A,C
NEW QUESTION # 29
Which programming language is used for scripting in an SAP Analytics Cloud story?
- A. Python
- B. JavaScript
- C. ABAP
- D. Wrangling Expression Language
Answer: B
NEW QUESTION # 30
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. Responsive
- C. Grid
- D. Composite
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 # 31
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. Single
- C. Mass
Answer: A
NEW QUESTION # 32
What is required to use version management in a story?
- A. Optimized mode
- B. Classic mode
- C. Planning model
- D. Analytic model
Answer: C
Explanation:
Reference:
SAP Analytics Cloud Help Documentation: Version Management in Planning
SAP Analytics Cloud User Guide: Using Planning Models for Versioning
NEW QUESTION # 33
When scrolling down in a long table, how can you retain column headers? Note: There are 2 correct answers to this question.
- A. Enable Keeping member names visible
- B. Freeze Up to column
- C. Enable Auto-Size And Page Table Vertically
- D. Freeze Up to row
Answer: B,D
NEW QUESTION # 34
Which dimension type can you use like a measure?
- A. Organization
- B. Entity
- C. Date
- D. Account
Answer: D
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 must a data model contain in SAP Analytics Cloud? Note: There are 2 correct answers to this question.
- A. Hierarchies
- B. Calculations
- C. Dimensions
- D. Measures
Answer: C,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 # 36
In a planning data model, what dimensions are included by default? Note: There are 2 correct Answers to this question.
- A. Organization
- B. Entity
- 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 # 37
Where can you change a data lock status? Note: There are 2 correct answers to this question.
- A. Calendar task
- B. Multi action
- C. Value lock management
- D. Data action
Answer: A,B
NEW QUESTION # 38
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. Save
- B. Send
- C. Nothing
- D. Publish
Answer: D
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 # 39
In a data model, what can you use to further describe a dimension?
- A. Property
- B. Variable
- C. Data action
- D. Measure
Answer: A
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 to reduce the data refresh time when opening a story? Note: There are 3 correct answers to this question.
- A. Load widgets in the background
- B. Use conditional formatting
- C. Avaid prompts
- D. Avaid tables with more than 500 rows and 60 columns
- E. Use responsive pages
Answer: A,B,D
NEW QUESTION # 41
You are using a live connection for a model. Where is the data stored?
- A. Embedded data set
- B. Public dataset
- 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 # 42
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