Free 2025 C_SAC_2421 Dumps 100 Pass Guarantee With Latest Demo [Q24-Q49]

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Free 2025 C_SAC_2421 Dumps 100 Pass Guarantee With Latest Demo

Prepare C_SAC_2421 Question Answers Free Update With 100% Exam Passing Guarantee [2025]

NEW QUESTION # 24
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 can schedule the dataset to update on a regular basis.
  • B. You must create a new dataset.
  • C. You must refresh the story that uses the dataset.
  • D. You must manually reimport the data.

Answer: A

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 # 25
How can you improve the performance of advanced data actions? Note: There are 3 correct answers to this question.

  • A. Use fewer IF statements
  • B. Use fewer data functions
  • C. Use fewer aggregation dimension functions
  • D. Use fewer MEMBERSET statements
  • E. Use fewer FOREACH functions

Answer: A,B,E


NEW QUESTION # 26
You want to display differences between measures in a chart. What can you use?

  • A. Restricted measure
  • B. Variance
  • C. Reference line
  • D. Threshold

Answer: B

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 # 27
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 distribution
  • B. Use two properties
  • C. Use two hierarchies
  • D. Dis-able allocations

Answer: C

Explanation:
When you have a dimension with members for product groups and associated products and want to plan by product group without disaggregating into the individual products, using two hierarchies is the best approach. One hierarchy can represent the product groups at a higher level, allowing for planning and analysis at the group level. The second hierarchy can include both the product groups and their associated individual products for more detailed analysis when needed. This approach provides flexibility in planning and analyzing data at different levels of detail without the necessity of disaggregating data at the product group level.
Reference:
SAP Analytics Cloud Help Documentation: Hierarchies in Planning
SAP Analytics Cloud User Guide: Managing Hierarchies for Planning


NEW QUESTION # 28
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. Cardinality
  • C. Hierarchy
  • D. Granularity

Answer: B


NEW QUESTION # 29
What features are supported by data analyzer? Note: There are 3 correct answers to this question.

  • A. Charts
  • B. Calculated measures
  • C. Conditional formatting
  • D. Linked dimensions
  • E. Input controls

Answer: A,B,C


NEW QUESTION # 30
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. Aggregate To
  • B. Unbooked
  • C. Append
  • D. Signflip

Answer: D


NEW QUESTION # 31
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. Share with View access
  • C. Create a Review task for the story
  • D. Add a Comment widget to the story

Answer: D


NEW QUESTION # 32
How can you limit the refresh time of a story?

  • A. Collapse the hierarchy
  • B. Implement a value driver tree
  • C. Use canvas pages
  • D. Create calculated measures

Answer: A

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 # 33
Your story takes a long time to open. What could cause this? Note: There are 3 correct answers to this question.

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

Answer: A,B,D


NEW QUESTION # 34
What can you do with a multi action? Note: There are 2 correct answers to this question.

  • A. Import transaction data
  • B. Approve data
  • C. Run allocation processes
  • D. Run allocation data actions

Answer: A,D


NEW QUESTION # 35
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. Refresh the import job
  • B. Schedule the import
  • C. Refresh the story
  • D. Allow model import

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 # 36
What can you do to reduce the data refresh time when opening a story? Note: There are 3 correct answers to this question.

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

Answer: A,B,E


NEW QUESTION # 37
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 public dataset
  • C. SAP Analytics Cloud analytic model
  • D. SAP HANA view
  • E. SAP BusinessObjects Universe

Answer: A,C,D


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

Answer: A

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
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 # 40
Which features are available in the Optimized Design Experience? Note: There are 3 correct answers to this question.

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

Answer: B,C,D


NEW QUESTION # 41
What must you use to transform data in a dataset using if/then/else logic?

  • A. Formula bar
  • B. Transform bar
  • C. Calculations editor
  • D. Custom expression editor

Answer: D

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 # 42
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. Send
  • B. Nothing
  • C. Publish
  • D. Save

Answer: C

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 # 43
What can you use input controls for in a story? Note: There are 2 correct answers to this question.

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

Answer: C,D

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 # 44
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. Redistribute
  • B. Distribute
  • C. Driver
  • D. Reference

Answer: C

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 # 45
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 # 46
What are the available connection types in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

  • A. Import
  • B. On-premise
  • C. Live
  • D. Cloud

Answer: A,C

Explanation:
SAP Analytics Cloud supports two primary types of data connections: Live Data Connection and Import Data Connection. Live Data Connection establishes a direct link to the data source, allowing real-time data access without replicating the data into SAP Analytics Cloud. This is ideal for scenarios where up-to-the-minute data is crucial, and data volume is large. On the other hand, Import Data Connection involves copying data from the source into SAP Analytics Cloud, which is suitable for scenarios where data doesn't change frequently, or there's a need for data transformation and enrichment within SAP Analytics Cloud.
Reference:
SAP Analytics Cloud Help Documentation: Data Connections Overview
SAP Analytics Cloud User Guide: Live Data vs. Import Data Scenarios


NEW QUESTION # 47
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. Composite
  • B. Responsive
  • C. Canvas
  • D. Grid

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 # 48
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SAP C_SAC_2421 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Data modeling, analysis, and integration: This section focuses on the core analytical capabilities of SAP Analytics Cloud. SAP Analytics Cloud Data Analysts should demonstrate proficiency in creating and managing data models, performing advanced analysis, and integrating data from various sources. The exam assesses skills in creating calculated measures, applying filters, and using advanced analytical functions.
Topic 2
  • Connections and data preparation: This domain covers the essential skills of connecting to data sources and preparing data for analysis. SAP Analytics Cloud Data Analysts are expected to show competence in establishing connections to various data sources, including on-premise and cloud-based systems.
Topic 3
  • Story Design: This section of the exam measures the skills of SAP Analytics Cloud Data Analysts and covers various aspects of story design in SAP Analytics Cloud. The exam assesses the knowledge of candidates who should be able to create effective and visually appealing stories to present data insights. This includes understanding different chart types, layout options, and interactive elements to enhance data visualization and user engagement.
Topic 4
  • Planning: SAP Analytics Cloud Data Analysts are expected to demonstrate proficiency in planning within the SAP Analytics Cloud environment. The exam evaluates the ability to create and manage planning models, including setting up dimensions, accounts, and versions. Candidates should be familiar with creating planning input forms and implementing planning processes.
Topic 5
  • Performance, troubleshooting, and security management: This domain covers critical aspects of maintaining and optimizing SAP Analytics Cloud environments. It assesses SAP Analytics Cloud Data Analysts' abilities in performance tuning, troubleshooting common issues, and implementing security measures.

 

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