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100+ Free SAP Analytics Cloud Data Analyst Practice Questions

Pass your SAP Certified Associate - Data Analyst - SAP Analytics Cloud (Exam C_SAC) exam on the first try — instant access, no signup required.

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A data analyst builds a story on a live connection to SAP Datasphere. Where does the underlying transactional data physically reside?

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2026 Statistics

Key Facts: SAP Analytics Cloud Data Analyst Exam

60

Questions (C_SAC_2501)

SAP

70%

Passing Cut Score

SAP

120 min

Exam Duration

SAP

~$554

Approx. Exam Fee (USD)

SAP Learning (varies by offering)

12 months

Certification Validity

SAP (extended via Stay Current)

5 areas

Blueprint Topic Areas

SAP C_SAC syllabus

The SAP Certified Associate - Data Analyst - SAP Analytics Cloud (C_SAC) exam validates SAP Analytics Cloud skills for analysts. The current C_SAC_2501 release has 60 multiple-choice questions, 120 minutes, and a 70% cut score, for roughly $554 USD. The five areas are Story Design (21-30%), Planning (21-30%), Data modeling, analysis, and integration (21-30%), Connections and data preparation (11-20%), and Performance, troubleshooting, and security (10% or less). The certification is valid 12 months and extends each time you pass a Stay Current assessment.

Sample SAP Analytics Cloud Data Analyst Practice Questions

Try these sample questions to test your SAP Analytics Cloud Data Analyst exam readiness. Each question includes a detailed explanation. Start the interactive quiz above for the full 100+ question experience with AI tutoring.

1In SAP Analytics Cloud, what is the defining characteristic of a live data connection compared with an import connection?
A.Data is copied and stored inside the SAC model
B.Data can only be refreshed once per day on a schedule
C.Data remains in the source system and is queried in real time at runtime
D.Data is automatically anonymized before being displayed
Explanation: With a live connection, no data is replicated into SAC; queries run against the source system (such as SAP Datasphere, SAP BW/4HANA, or S/4HANA) and results are returned in real time, so the data always reflects the source. This contrasts with import, where data is copied into an SAC model.
2A data analyst builds a story on a live connection to SAP Datasphere. Where does the underlying transactional data physically reside?
A.In the SAP Analytics Cloud import model
B.In a local browser cache only
C.In the source system (SAP Datasphere)
D.In an SAC public dataset
Explanation: On a live connection the data stays in the source system; SAC sends queries to SAP Datasphere and renders the returned results without persisting the data. This keeps a single source of truth and avoids data duplication and replication latency.
3Which capability is available for import models but NOT for models built on a live connection?
A.Storing and transforming data with the SAC data wrangling/preparation tools
B.Real-time access to source data
C.Single source of truth in the back-end system
D.Querying the source at runtime
Explanation: Because import models copy data into SAC, you can cleanse and transform it with the data preparation (wrangling) features, schedule refreshes, and combine sources. Live models query the source directly, so SAC-side transformation and planning features that require writing data back into an SAC model are limited.
4Which SAP source system can you connect to using a live data connection in SAP Analytics Cloud?
A.SAP Datasphere
B.A flat CSV file uploaded from a laptop
C.A Microsoft Excel workbook on OneDrive
D.An on-premise text export folder
Explanation: SAP Datasphere (along with SAP BW/4HANA, SAP HANA, and SAP S/4HANA) supports live connections so SAC can query the data in place. File-based sources such as CSV or Excel are imported into SAC, not consumed live.
5During data preparation in SAP Analytics Cloud, what does a transformation that splits one column into two based on a delimiter accomplish?
A.It separates a combined field, such as splitting a full name into first and last name columns
B.It deletes rows containing the delimiter
C.It joins two models on a key
D.It converts a dimension into a measure automatically
Explanation: The split transform in the data preparation/wrangling area parses a single column on a delimiter (for example a space or comma) and creates new columns, such as separating first and last name. This is part of cleansing and shaping imported data before modeling.
6What is the purpose of setting a refresh schedule on an import data connection in SAP Analytics Cloud?
A.To convert the import model into a live model
B.To delete old stories that reference the model
C.To automatically update the imported data from the source at defined times
D.To anonymize personally identifiable information
Explanation: Import models hold a copy of source data, so a scheduled refresh re-imports the latest data on a defined cadence (for example nightly), keeping the model reasonably current without manual reloads. Live connections do not need refresh schedules because they query the source at runtime.
7In SAP Analytics Cloud data preparation, what does the 'smart transformations' / cleansing suggestion engine help an analyst do?
A.Generate predictive forecasts for time series
B.Detect data quality issues and propose fixes such as standardizing inconsistent values
C.Schedule the Digital Boardroom agenda
D.Assign roles to users in the security area
Explanation: During data wrangling, SAC profiles each column and can surface quality issues (for example inconsistent capitalization or formats) and suggest transformations to standardize the values. This accelerates cleansing of imported data before it is modeled.
8A company wants the latest figures from SAP S/4HANA to appear in SAC without copying any data into the cloud tenant. Which connection approach best meets this requirement?
A.Live connection to the source system
B.Import connection with hourly refresh
C.Manual CSV upload each morning
D.Public dataset duplication
Explanation: A live connection queries S/4HANA at runtime and returns results without persisting the data in SAC, satisfying the no-copy requirement and always reflecting current source data. Import or file-based approaches would replicate the data into the SAC tenant.
9Which component is required so that an SAP Analytics Cloud tenant can reach an on-premise SAP system for a live connection?
A.SAP Analytics Cloud agent / Cloud Connector for secure tunneling
B.Smart Predict license
C.Digital Boardroom add-on
D.A value driver tree
Explanation: For live or import connections to on-premise systems, SAC relies on secure connectivity components such as the SAP Cloud Connector (and, for some import scenarios, the SAP Analytics Cloud agent) to tunnel requests to the back end. Without this connectivity layer SAC cannot reach systems behind the corporate firewall.
10When you import data into SAP Analytics Cloud from a CSV file, where is that data ultimately consumed in stories?
A.Directly from the CSV file each time the story opens
B.From the Digital Boardroom agenda store
C.From the live source system query
D.From an SAC model or dataset created from the import
Explanation: Imported CSV data is loaded into an SAC model or dataset, and stories then consume that model/dataset. The original file is not re-read at story runtime; the data now lives inside the SAC tenant.

About the SAP Analytics Cloud Data Analyst Exam

The SAP Certified Associate - Data Analyst - SAP Analytics Cloud (C_SAC) credential validates the core knowledge needed to work as an SAP Analytics Cloud (SAC) data analyst on a project team. The current C_SAC_2501 multiple-choice release has 60 questions, a 120-minute time limit, and a 70% cut score. The blueprint spans five areas: Story Design (21-30%), Planning (21-30%), Data modeling, analysis, and integration (21-30%), Connections and data preparation (11-20%), and Performance, troubleshooting, and security management (10% or less). SAP is gradually moving the C_SAC line toward an AI Role-Play scenario format on newer releases, but the knowledge tested - live versus import connections, models and stories, planning with versions and data actions, and smart predictive features - remains the foundation.

Questions

60 scored questions

Time Limit

120 minutes

Passing Score

70%

Exam Fee

~$554 USD (SAP SE)

SAP Analytics Cloud Data Analyst Exam Content Outline

21-30%

Story Design

Build and optimize stories using canvas, responsive, and grid pages; design charts, tables, KPI tiles, and combination charts; add input controls, linked analysis, drill-down, conditional formatting, and templates; and present with the Digital Boardroom for interactive executive meetings.

21-30%

Planning

Plan with public and private versions, relative and absolute data entry, spreading and distribution, data actions (copy, allocation, advanced formulas), structured allocations, value driver trees and their node types, multi actions, validation rules, data locking, and the planning calendar for tasks and approvals.

21-30%

Data modeling, analysis, and integration

Create models with dimensions, measures, hierarchies, dimension properties, currency conversion, calculations, restricted measures, and exception aggregation; blend linked models; integrate SAP Datasphere; and apply smart features such as Search to Insight, Smart Insights, Smart Discovery, and Smart Predict (classification, regression, time series).

11-20%

Connections and data preparation

Create live connections (where data stays in the source such as SAP Datasphere) and import connections (where data is copied into an SAC model), schedule import refreshes, and cleanse and transform imported data with the data preparation and wrangling tools.

<=10%

Performance, troubleshooting, and security management

Optimize story and model performance, troubleshoot connection and refresh failures, and manage access using roles, teams, permissions, model-level data access control, audit logging, and SAML single sign-on.

How to Pass the SAP Analytics Cloud Data Analyst Exam

What You Need to Know

  • Passing score: 70%
  • Exam length: 60 questions
  • Time limit: 120 minutes
  • Exam fee: ~$554 USD

Keys to Passing

  • Complete 500+ practice questions
  • Score 80%+ consistently before scheduling
  • Focus on highest-weighted sections
  • Use our AI tutor for tough concepts

SAP Analytics Cloud Data Analyst Study Tips from Top Performers

1Master live versus import connections: know that live keeps data in the source (for example SAP Datasphere) while import copies it into an SAC model for transformation, refresh scheduling, and full planning.
2Concentrate on the three heavy areas - Story Design, Planning, and Data modeling/integration - which together can make up the large majority of the exam.
3For stories, be able to distinguish canvas (freeform), responsive (lane-based, device-friendly), and grid (spreadsheet-like) pages, and know when to use input controls, linked analysis, and the Digital Boardroom.
4For planning, practice public versus private versions, relative data entry (such as +500 or *2), data actions with copy and allocation steps, value driver tree node types, and the planning calendar.
5Know the smart features cold: Search to Insight for natural-language queries, Smart Insights for explaining a data point, Smart Discovery for auto-generated analysis, and Smart Predict scenarios (classification, regression, time series).
6For security, understand the difference between roles (application permissions), teams (grouping users), sharing (object access), and data access control (row-level restriction on dimension members).

Frequently Asked Questions

What are the current exam facts for C_SAC?

The current C_SAC_2501 release of the SAP Certified Associate - Data Analyst - SAP Analytics Cloud exam has 60 questions, a 120-minute time limit, and a 70% cut score. It is delivered online through the SAP Certification Hub for roughly $554 USD, though bundled SAP Learning offerings vary.

What does the C_SAC exam cover?

The blueprint has five areas: Story Design (21-30%), Planning (21-30%), Data modeling, analysis, and integration (21-30%), Connections and data preparation (11-20%), and Performance, troubleshooting, and security management (10% or less). The first three areas carry the most weight.

What is the difference between a live and an import connection in SAP Analytics Cloud?

On a live connection the data stays in the source system (such as SAP Datasphere) and is queried in real time, so nothing is copied into SAC. An import connection copies data into an SAC model, where it can be transformed, scheduled to refresh, and used for full planning.

Is the C_SAC exam moving to an AI Role-Play format?

SAP is transitioning the C_SAC certification line toward an AI Role-Play scenario format on newer releases such as C_SAC_2601, while older releases like C_SAC_2501 remain multiple-choice. The underlying SAP Analytics Cloud knowledge tested stays the same, so concept-based practice prepares you for either format.

How long is the certification valid?

The certification is valid for 12 months. Each time you successfully pass a Stay Current assessment, the validity is extended by another 12 months, helping you keep the credential active as SAP Analytics Cloud evolves.

How should I prepare for C_SAC?

Start with SAP's beginner learning journey Exploring SAP Analytics Cloud, then get hands-on with connections, modeling, stories, and planning. Drill the high-weight areas - stories, planning, and modeling - and make sure you can explain versions, data actions, value driver trees, and Smart Predict scenarios.