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SAP Scenario Based AssessmentC_SAC_2601

SAP C_SAC Scenario Based Assessment (SBA) Exam Questions - New Format 2026

SAP Certified - Data Analyst - SAP Analytics Cloud (C_SAC_2601)

Try free practice questions, flashcards and revision notes for the SAP Certified - Data Analyst - SAP Analytics Cloud exam (C_SAC_2601). Built from the official SAP learning journey and checked by SAP experts.

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About the exam

About the SAP C_SAC exam

In this SAP exam you do not just pick answers. You work through realistic customer situations and must explain, recommend and justify your decisions, the way a consultant does in a real project conversation.

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Work through 10 practice questions, 10 flashcards and a revision notes sample, free and without sign up. Every item shows the official topic it is built from.

C_SAC practice test 10 questions, practice mode with instant feedback
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Question 1 of 10

  • Easy
  • Single answer
  • Item 11185
  • Topic Using Data Actions to Copy Data Within a Model

In SAP Analytics Cloud, where can you access the option to create a data action for copying data?

Choose one answer

Explanation

The 'Data Actions' tab within the model settings is the correct location to create data actions.

Question 2 of 10

  • Medium
  • Single answer
  • Scenario question
  • Item 10787
  • Topic Calculating Data in Stories

Your customer wants to create a new measure in their story to analyze the profit margin. Which feature of the calculation editor should you recommend for this task?

Choose one answer

Explanation

The calculation editor allows users to create new measures based on existing data, which is essential for calculating profit margins.

Question 3 of 10

  • Hard
  • Single answer
  • Scenario question
  • Item 10811
  • Topic Presenting Data on Mobile Devices

Your customer is concerned about the loading speed of their stories on mobile devices. What is a recommended approach to improve performance?

Choose one answer

Explanation

Limiting the number of visualizations and data points helps enhance loading speed on mobile devices.

Question 4 of 10

  • Easy
  • Single answer
  • Item 10928
  • Topic Designing and Creating Dimensions

What is a key characteristic of a dimension in SAP Analytics Cloud?

Choose one answer

Explanation

Dimensions categorize measures, allowing for meaningful analysis in SAP Analytics Cloud.

Question 5 of 10

  • Medium
  • Multiple answers
  • Scenario question
  • Item 10945
  • Topic Using Basic Manual Planning

Your customer wants to understand how to adjust data in a planning table. What do you recommend? (Choose two)

Choose 2 answers

Explanation

To adjust data in a planning table, you can use the 'Edit' option and apply formulas.

Question 6 of 10

  • Hard
  • Single answer
  • Scenario question
  • Item 10789
  • Topic Calculating Data in Stories

Your customer is looking to calculate the year-over-year growth percentage in their sales data. What would you suggest they do in the calculation editor?

Choose one answer

Explanation

The LAG function is specifically designed to facilitate comparisons between different time periods, making it ideal for calculating growth percentages.

Question 7 of 10

  • Easy
  • Single answer
  • Item 11266
  • Topic Using the Visual Editor to Create an Advanced Formula Data Action

When using the visual editor to create an advanced formula data action, which of the following is a key benefit of using the drag-and-drop functionality?

Choose one answer

Explanation

The drag-and-drop functionality simplifies the process of building complex formulas in the visual editor.

Question 8 of 10

  • Medium
  • Single answer
  • Scenario question
  • Item 10808
  • Topic Presenting Data on Mobile Devices

Your customer wants to ensure that their SAP Analytics Cloud stories are easily viewable on mobile devices. What is the best practice for optimizing story design for mobile use?

Choose one answer

Explanation

Designing stories with a single-column layout optimizes the viewing experience on mobile devices.

Question 9 of 10

  • Hard
  • Single answer
  • Item 10946
  • Topic Using Basic Manual Planning

Which feature in SAP Analytics Cloud allows users to visualize planning data effectively?

Choose one answer

Explanation

Data visualizations are specifically designed to help users visualize planning data effectively.

Question 10 of 10

  • Easy
  • Single answer
  • Item 10616
  • Topic Introducing SAP Analytics Cloud Story Design

Which of the following best describes the purpose of a story in SAP Analytics Cloud?

Choose one answer

Explanation

The correct answer highlights the primary function of stories in SAP Analytics Cloud, which is to visualize and communicate data insights effectively.

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    Card 1 of 10 0 known0 to review
    Definition Easy 1 / 10

    What is a data action in SAP Analytics Cloud?

    • Topic Creating Data Actions for Allocations
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    Answer1 / 10

    A data action in SAP Analytics Cloud is a predefined sequence of operations that can be executed on planning data, such as allocations, to manipulate or analyze data efficiently.

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    Concept Medium 2 / 10

    Which role typically uses seamless planning in SAP Analytics Cloud?

    • Topic Using Seamless Planning With Plan Data in an SAP Analytics Cloud Story
    Click or tap the card to see the answer
    Answer2 / 10

    The Business Analyst role typically uses seamless planning to create and manage planning models, facilitating collaboration and insights in stories.

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    Comparison Hard 3 / 10

    How does building a story from a file differ from using a live data connection?

    • Topic Building Stories Using Files as Data Sources
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    Answer3 / 10

    Building a story from a file uses static data, while a live data connection allows real-time data access and updates.

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    Definition Easy 4 / 10

    What is a live model in SAP Analytics Cloud?

    • Topic Creating a Basic Model
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    Answer4 / 10

    A live model connects directly to a data source, allowing real-time data access and analysis without data replication.

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    Definition Medium 5 / 10

    What is the purpose of an analytic model in SAP Datasphere?

    • Topic Creating a Graphical View and Analytic Model in SAP Datasphere
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    Answer5 / 10

    The purpose of an analytic model in SAP Datasphere is to define how data is structured and processed for analysis, enabling users to create reports and dashboards.

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    Comparison Hard 6 / 10

    How does building a story from a template differ from creating one from scratch?

    • Topic Building Stories from a Template
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    Answer6 / 10

    Building from a template provides a structured layout and predefined elements, while creating from scratch requires manual setup of all components.

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    Definition Easy 7 / 10

    What is live data in SAP Analytics Cloud?

    • Topic Exploring Model Data Sources
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    Answer7 / 10

    Live data connects directly to the source system in real-time, allowing users to access the most current data without storing it in SAP Analytics Cloud.

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    Tool Medium 8 / 10

    Which role typically uses the My Metrics feature in SAP Analytics Cloud?

    • Topic Working With My Metrics
    Click or tap the card to see the answer
    Answer8 / 10

    Business users and data analysts typically use the My Metrics feature to track and visualize key performance indicators relevant to their roles.

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    Comparison Hard 9 / 10

    What is the impact of data volume on live data connections?

    • Topic Exploring Model Data Sources
    Click or tap the card to see the answer
    Answer9 / 10

    Live data connections are typically more efficient for smaller datasets, as large volumes can lead to performance issues and slower response times.

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    Definition Easy 10 / 10

    What is a story in SAP Analytics Cloud?

    • Topic Introducing SAP Analytics Cloud Story Design
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    Answer10 / 10

    A story in SAP Analytics Cloud is a collection of visualizations and data that provides insights and analysis, allowing users to explore and present data interactively.

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    538 cards with spaced repetition in the Flashcards add-on. Cards you miss come back sooner.

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    • Easy
    • Topic Getting Started with SAP Analytics Cloud

    Managing Files

    • Learn how to upload, organize, and manage files within SAP Analytics Cloud to ensure efficient data handling and collaboration.
    • Understand the sharing options available for files, including setting permissions and collaborating with team members securely.

    Key terms

    File Management
    Permissions
    Exam tip

    Demonstrate to the customer how easy it is to manage and share files securely, ensuring collaboration and data integrity.

    Quick check

    What is the purpose of file management in SAP Analytics Cloud?

    To organize, store, and control access to files efficiently.

    How can you ensure secure collaboration on files?

    By setting appropriate permissions for file access and editing.

    • Medium
    • Topic Using Basic Manual Planning

    Using Basic Manual Planning

    • Learn how to perform simple data entry in SAP Analytics Cloud tables, allowing you to input and adjust planning data directly within the interface.
    • Understand how to work with planning data in tables, ensuring that you can efficiently manage and update data as needed for accurate planning processes.

    Key terms

    Data Entry
    Exam tip

    When explaining basic manual planning to a customer, emphasize the ease of directly entering and adjusting data within tables, which simplifies the planning process.

    Quick check

    What is the primary function of basic manual planning?

    To perform simple data entry and work with planning data in tables.

    Why is working with tables important in manual planning?

    It allows efficient management and updating of planning data.

    • Hard
    • Topic Allocating Planning Data

    Performing Allocations

    • Performing allocations involves executing the predefined data actions to distribute resources according to the business's strategic plans.

    Key terms

    Performing Allocations
    Exam tip

    Explain to customers that performing allocations is crucial for ensuring that the distribution of resources aligns with their strategic objectives, thereby enhancing decision-making and operational efficiency.

    Quick check

    What does performing allocations involve?

    Executing predefined data actions to distribute resources.

    How do allocations enhance decision-making?

    By aligning resource distribution with strategic objectives.

    • Easy

    Performing Currency Conversion

    • Performing currency conversion in stories involves selecting the desired currency for display and ensuring the correct exchange rates are applied to the data presented.
    • SAP Analytics Cloud allows users to perform on-the-fly currency conversions, which means that users can switch between different currencies seamlessly within a story, ensuring accurate financial analysis.

    Key terms

    On-the-fly Conversion
    Story
    Exam tip

    To explain currency conversion in stories to a customer, emphasize the ease of switching between currencies and how it aids in making informed decisions by providing localized financial insights.

    Quick check

    What does on-the-fly conversion allow users to do?

    Switch between different currencies seamlessly.

    Why is currency conversion important in stories?

    It ensures accurate financial analysis and localized insights.

    • Medium
    • Topic Performing Manual Planning

    Using Data Point Comments

    • Work with data point comments to add contextual information to specific data points, enhancing collaboration and understanding among team members.

    Key terms

    Data Point Comments
    Exam tip

    Explain to customers that data point comments facilitate collaboration by allowing team members to add context and insights directly to data points.

    Quick check

    What is the purpose of data point comments?

    To add contextual information to specific data points.

    How do data point comments enhance collaboration?

    They provide context and insights directly to data points.

    • Hard

    Scripting Advanced Stories

    • Learn to create advanced stories in SAP Analytics Cloud using scripting to automate tasks and enhance story functionality. Understand the scripting environment and how to write scripts to customize story behavior and interactions, providing more dynamic and responsive user experiences.

    Key terms

    Scripting
    Exam tip

    When discussing with a customer, focus on how scripting can be used to tailor stories to specific business needs, offering more flexibility and control over data interactions.

    Quick check

    What is the purpose of scripting in SAP Analytics Cloud?

    To automate tasks and enhance story functionality.

    What can scripting provide to user experiences?

    More dynamic and responsive interactions.

    • Easy
    • Topic Using Modeling

    Explaining Modeling Options

    • Modeling in SAP Analytics Cloud involves understanding the structure and organization of data. A dimension is a categorical variable, such as time, product, or region, that provides context to the data. Models are structured representations of data that include dimensions and measures, allowing for complex data analysis. Datasets are collections of data that can be used to create models and are often imported from external sources.

    Key terms

    Dimension
    Model
    Dataset
    Exam tip

    When explaining modeling options to a customer, emphasize how dimensions provide the context needed for meaningful analysis, while models organize this data into a usable format.

    Quick check

    What is a dimension in SAP Analytics Cloud?

    A categorical variable providing context to data.

    This section continues in the full Revision Notes.

    • Medium
    • Topic Performing Manual Planning

    Using Advanced Manual Planning

    • Learn how to disaggregate planning data, which involves breaking down aggregated data into more detailed components for precise analysis.
    • Understand how to lock cells in a table to prevent changes to specific data points, ensuring data integrity during planning.
    • Set cells to read-only to safeguard critical data from unintended modifications, maintaining the accuracy of your planning data.

    Key terms

    Disaggregation
    Exam tip

    Explain to customers that advanced manual planning features like cell locking and read-only settings help maintain data integrity and accuracy.

    Quick check

    What does disaggregating data allow you to do?

    Break down aggregated data into more detailed components.

    Why would you lock cells in a planning table?

    To prevent changes and ensure data integrity.

    Continue with the full Revision Notes for all 70 lessons, with search and a downloadable PDF.

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    This is a free sample. Add the Practice Test (550 questions), Flashcards (538 cards) and Revision Notes (all 70 lessons) to your SBA package.

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    This SAP C_SAC exam practice is prepared and verified by ValidExamDumps's SAP Subject Matter Experts (SMEs). How our SAP SMEs prepare and verify it

    10 scenarios in 3 levels

    Scenario simulations

    Full multi phase scenarios that mirror the exam format, with the narrative, the challenges and the real decisions the exam puts in front of you. Ordered from foundation to advanced so you can build up.

    Build the core configuration moves

    1. 01

      Implementing SAP Business Data Cloud for Analytics

      Premium Easy 7 questions 15 min

      Open scenario
    2. 02

      Implementing SAP Analytics Cloud for Business Insights

      Premium Easy 7 questions 15 min

      Open scenario
    3. 03

      Navigating and Planning in SAP Analytics Cloud

      Premium Easy 7 questions 15 min

      Open scenario

    Practice interview

    SAP Certified - Data Analyst - SAP Analytics Cloud — practice interview

    A full mock interview over all courses, 34 questions, 68 min

    Start interview

    Skill drills

    What this exam tests

    550

    550 skill drills across the 26 domains this exam covers. Pick a domain to train it and see where you are strong or weak.

    1. 01

      Discovering Cloud Modularization With SAP Business Data Cloud

      16 drills2 lessons

      Practice
    2. 02

      Getting Started with SAP Analytics Cloud

      28 drills3 lessons

      Practice
    3. 03

      Establishing Data Sources and Connections

      16 drills2 lessons

      Practice
    4. 04

      Using Modeling

      23 drills3 lessons

      Practice
    5. 05

      Using Basic and Advanced Stories

      39 drills4 lessons

      Practice
    6. 06

      Using Planning

      19 drills2 lessons

      Practice
    7. 07

      Using Basic Augmented Analytics in SAP Analytics Cloud

      7 drills1 lesson

      Practice
    8. 08

      Using Collaboration Features

      16 drills2 lessons

      Practice
    9. 09

      Getting Started with Stories

      16 drills2 lessons

      Practice
    10. 10

      Unit 2 Building Stories

      25 drills3 lessons

      Practice
    11. 11

      Manipulating Data in Stories

      23 drills3 lessons

      Practice
    12. 12

      Presenting Stories

      12 drills2 lessons

      Practice
    13. 13

      Exploring SAP Analytics Cloud for Planning

      23 drills3 lessons

      Practice
    14. 14

      Working With Versions and Dimension Members

      30 drills4 lessons

      Practice
    15. 15

      Performing Manual Planning

      31 drills4 lessons

      Practice
    16. 16

      Using the Core Planning Features

      13 drills2 lessons

      Practice
    17. 17

      Coordinating and Controlling Processes

      19 drills3 lessons

      Practice
    18. 18

      Performing Seamless Planning

      32 drills4 lessons

      Practice
    19. 19

      Exploring Advanced Features in SAP Analytics Cloud for Planning

      12 drills2 lessons

      Practice
    20. 20

      Copying Data Using Data Actions

      17 drills2 lessons

      Practice
    21. 21

      Creating Advanced Formula Data Actions

      24 drills3 lessons

      Practice
    22. 22

      Creating and Configuring Multi Actions

      7 drills1 lesson

      Practice
    23. 23

      Allocating Planning Data

      23 drills3 lessons

      Practice
    24. 24

      Converting Currencies for Planning

      14 drills2 lessons

      Practice
    25. 25

      Forecasting and Simulating Planning Data

      32 drills4 lessons

      Practice
    26. 26

      Using the SAP Analytics Cloud Calendar to Create a Planning Process

      33 drills4 lessons

      Practice

    Course outline

    What the C_SAC exam covers

    Our content follows the official SAP learning journey Becoming a Certified Data Analyst in SAP Analytics Cloud (4 courses, 70 lessons).

    View on SAP Learning
    01 Exploring SAP Analytics Cloud 8 domains
    • Discovering Cloud Modularization With SAP Business Data Cloud
    • Getting Started with SAP Analytics Cloud
    • Establishing Data Sources and Connections
    • Using Modeling
    • Using Basic and Advanced Stories
    • Using Planning
    • Using Basic Augmented Analytics in SAP Analytics Cloud
    • Using Collaboration Features
    02 Designing Stories in SAP Analytics Cloud 4 domains
    • Getting Started with Stories
    • Unit 2 Building Stories
    • Manipulating Data in Stories
    • Presenting Stories
    03 Performing Manual Planning with SAP Analytics Cloud 6 domains
    • Exploring SAP Analytics Cloud for Planning
    • Working With Versions and Dimension Members
    • Performing Manual Planning
    • Using the Core Planning Features
    • Coordinating and Controlling Processes
    • Performing Seamless Planning
    04 Leveraging Advanced Features in SAP Analytics Cloud for Planning 8 domains
    • Exploring Advanced Features in SAP Analytics Cloud for Planning
    • Copying Data Using Data Actions
    • Creating Advanced Formula Data Actions
    • Creating and Configuring Multi Actions
    • Allocating Planning Data
    • Converting Currencies for Planning
    • Forecasting and Simulating Planning Data
    • Using the SAP Analytics Cloud Calendar to Create a Planning Process

    How it works

    How the voice roleplay works

    1. 01

      Meet your AI stakeholder

      A customer persona introduces a realistic project situation.

    2. 02

      Answer by voice

      Explain and justify your recommendations, as in the real exam.

    3. 03

      Get your report

      Score per topic, strengths, gaps and the model answer for every question.

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