New 2025 Realistic C_SAC_2421 Dumps Test Engine Exam Questions in here [Q20-Q42]

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New 2025 Realistic C_SAC_2421 Dumps Test Engine Exam Questions in here

Updated Official licence for C_SAC_2421 Certified by C_SAC_2421 Dumps PDF


SAP C_SAC_2421 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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.
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
  • 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.

 

NEW QUESTION # 20
For which activities must you enable Advanced Mode in story design? Note: There are 2 correct answers to this question.

  • A. Add a popup
  • B. Add a custom widget
  • C. Add a layer to a geo map
  • D. Add JavaScript to a button

Answer: A,D


NEW QUESTION # 21
You are creating a new public version. Which categories can you use? Note: There are 2 correct answers to this question.

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

Answer: B,C


NEW QUESTION # 22
You are creating a styling rule for a table. What is the context?

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

Answer: A


NEW QUESTION # 23
What account types use the average rate type? Note: There are 2 correct answers to this question.

  • A. EXP
  • B. INC
  • C. AST
  • D. LEQ

Answer: A,B


NEW QUESTION # 24
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 import job
  • D. Refresh the story

Answer: B,D

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 # 25
You have a story in My Files. You want your colleague to review and comment on the story. What must you do?

  • A. Add a Comment widget to the story
  • B. Include the story in a Discussion
  • C. Share with View access
  • D. Create a Review task for the story

Answer: A


NEW QUESTION # 26
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. Group the Firstname and Lastname in the data model.
  • B. Create a calculated dimension in the data model.
  • C. Create the combined data in the source system.
  • D. Create a calculated dimension in the story.

Answer: B

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 # 27
What can you use to organize dimensions into logical categories in a live model?

  • A. Level-based hierarchy
  • B. Groups
  • C. Parent-child hierarchy
  • D. Value driver tree

Answer: C

Explanation:
In a live model within SAP Analytics Cloud, dimensions can be organized into logical categories using either level-based hierarchies or parent-child hierarchies. Level-based hierarchies are used when the relationships between items are defined by distinct levels, such as Geography might be divided into Country, State, and City levels. Parent-child hierarchies, on the other hand, are useful when the data's hierarchy is not strictly defined by levels but by a parent relationship where a child member is associated with a parent member, which is common in organizational structures or product categories.
Reference:
SAP Analytics Cloud Help Documentation: Creating and Managing Hierarchies SAP Analytics Cloud User Guide: Working with Models


NEW QUESTION # 28
Which features are available in the Optimized Design Experience? Note: There are 3 correct answers to this question.

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

Answer: B,C,E


NEW QUESTION # 29
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 Siblings
  • B. Self and Descendants
  • C. Self
  • D. Self and Children

Answer: C

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 # 30
Which dimension type can you use like a measure?

  • A. Date
  • B. Organization
  • C. Entity
  • 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 # 31
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 Analytics Cloud analytic model
  • B. SAP BusinessObjects Universe
  • C. SAP Datasphere model
  • D. SAP HANA view
  • E. SAP Analytics Cloud public dataset

Answer: A,C,D


NEW QUESTION # 32
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. Distribute
  • B. Redistribute
  • 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 # 33
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. Cardinality
  • B. Level
  • C. Hierarchy
  • D. Granularity

Answer: A


NEW QUESTION # 34
In a planning data model, what dimensions are included by default? Note: There are 2 correct Answers to this question.

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

Answer: A,C

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 # 35
How can you improve the performance of advanced data actions? Note: There are 3 correct answers to this question.

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

Answer: A,C,D


NEW QUESTION # 36
Where can you change a data lock status? Note: There are 2 correct answers to this question.

  • A. Value lock management
  • B. Data action
  • C. Multi action
  • D. Calendar task

Answer: C,D


NEW QUESTION # 37
What must a data model contain in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

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

Answer: A,B

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

Answer: A

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 # 39
What must you use to transform data in a dataset using if/then/else logic?

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

Answer: B

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 # 40
When scrolling down in a long table, how can you retain column headers? Note: There are 2 correct answers to this question.

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

Answer: B,D


NEW QUESTION # 41
How can you help a user enter data faster in a planning story? Note: There are 2 correct answers to this question.

  • A. Enable Optimize Recommended Planning Area in the model.
  • B. Set Size Limits for Planning Performance in the model.
  • C. Enable unbooked data in the story.
  • D. Select fluid data entry mode in the story.

Answer: A,D


NEW QUESTION # 42
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