# C_HAMOD_2601 Exam Syllabus Guide: Module-by-Module Technical Breakdown
## Quick summary
The C_HAMOD certification covers two major areas in SAP HANA Cloud and SAP HANA: Data Access and Calculation Views. This syllabus guide sorts the technical subjects into modules, explains why each matters, and ends with a checklist for reviewing the exam scope.
## Introduction
Knowing the syllabus lets candidates build their preparation around the capabilities expected of an SAP HANA data engineer. Database features are easier to learn when you see how data provisioning, modelling, and analytical development connect, so this guide does not treat each one as a separate subject. The [C_HAMOD_2601 Exam Syllabus Guide](https://theexamquestions.com/blog/c-hamod-sap-exam-guide) breaks down the exam domains and their technical modules for professionals pursuing the SAP Certified - Data Engineer - SAP HANA certification. A note on naming: SAP's certification catalogue lists the exam code as C_HAMOD, and C_HAMOD_2601 is the target keyword used here. The module detail comes from SAP's associated training courses.
## Exam structure and topic weighting
SAP currently publishes two exam domains for this certification.
| Exam domain | Weighting |
|---|---:|
| Data Access | 41-50% |
| Calculation Views | 41-50% |
| Detail | Information |
|---|---|
| Certification | SAP Certified - Data Engineer - SAP HANA |
| Exam code | C_HAMOD |
| Assessment type | System-based |
| Assessment activities | 1 |
| Duration | 3 hours |
| Passing score | 60% |
| Language | English |
SAP gives a range for each domain and does not publish a fixed percentage or a number of tasks. Both areas need substantial revision time.
## Data Access (41-50%)
Data Access is about making information available from external systems and managing how it enters or is reached within SAP HANA. SAP's course "Provisioning Data to SAP HANA Cloud" splits the subject into four technical units.
### Outlining data provisioning
- Data provisioning concepts
- SAP HANA data provisioning technologies
- Source-to-target data movement
- Choosing a provisioning approach
Understand why provisioning is needed and how it makes data available for database operations and analytical applications.
### Implementing data virtualization
- Accessing remote systems
- Creating remote sources through the user interface
- Configuring remote sources with SQL
- Creating virtual tables in classic schemas
- Creating virtual tables in HDI containers
- Accessing remote tables without creating virtual tables
Understand how SAP HANA reaches external information without always keeping a physical copy in the target database.
### Implementing data replication
- The replication process
- Replicating data with SQL
- Replication tasks
- Replication services
- Replica tables
Understand the mechanisms that move information from source systems into another environment.
### Implementing data transformation
- Creating data flows
- Defining data sources and targets
- Common Flowgraph nodes
- Advanced Flowgraph features
- Operating Flowgraphs
Understand how raw information becomes a structure suitable for downstream processing.
SAP can change exam details, so check the latest assessment information on the [SAP official certification ](https://learning.sap.com/certifications/sap-certified-associate-data-engineer-sap-hana) page before you book.
## Calculation Views (41-50%)
Calculation Views cover analytical data modelling in SAP HANA Cloud. SAP's course "Developing Data Models with SAP HANA Cloud" has 20 units, which can be grouped into six categories for revision.
### Modelling environment and development
| Unit | Subjects |
|---|---|
| Preparing the modeling environment | Development environment setup, project preparation, workspace organization |
| Creating calculation views | Creating views, working with modelling objects, configuring outputs |
| Common nodes, joins, and unions (three units) | Common calculation view nodes, joining data sources, combining datasets with union nodes |
Understand the modelling environment and how source data is connected into analytical structures.
### Advanced modelling operations
| Unit | Subjects |
|---|---|
| Creating data slices | Working with defined portions of information, applying data slicing |
| Ranking data | Ranking records, applying ranking criteria |
| Embedding functions in calculation views | Using functions inside models, adding calculation logic |
| Creating dynamic calculation views | Developing dynamic models, model inputs and behavior |
| Implementing hierarchies | Organizing information into levels, creating hierarchical structures |
Understand how these features serve different reporting and analytical needs.
### SQL and custom logic
The unit on developing custom logic with SQL covers writing SQL-based logic, working with expressions, and supporting custom modelling requirements. Understand how SQL helps when graphical modelling operations are not enough.
### Performance and optimization
| Unit | Subjects |
|---|---|
| Applying modelling best practices | Organizing model structures, efficient modelling approaches |
| Using tools to check model performance | Analyzing performance, finding inefficient operations |
| Implementing features to improve performance | Performance techniques, reviewing execution efficiency |
| Storing calculation view results | Result storage and handling |
| Using additional modelling productivity tools | Supporting development tools, improving modelling work |
Understand how model design affects performance, maintainability, and execution.
### Project management and security
| Unit | Subjects |
|---|---|
| Working in a modelling project | Organizing modelling content, managing development objects |
| Managing the lifecycle of a modelling project | Project lifecycle activities, maintaining content |
| Implementing security in SAP HANA modelling | Modelling security, managing access to database content |
Understand how modelling projects are organized, maintained, and protected.
### Knowledge Graph Engine
The final unit introduces the SAP HANA Cloud Knowledge Graph Engine and its role within SAP HANA Cloud. It is an additional unit in SAP's modelling course, and it should not get its own C_HAMOD weighting unless SAP publishes one.
## Priorities and revision checklist
Use this table to track your progress.
| Technical area | Priority | Revision status |
|---|---|---|
| Data provisioning | High | [ ] |
| Remote sources | High | [ ] |
| Data virtualization | High | [ ] |
| Data replication | High | [ ] |
| Flowgraphs | High | [ ] |
| Calculation view creation | High | [ ] |
| Common modelling nodes | High | [ ] |
| Joins and unions | High | [ ] |
| SQL-based custom logic | High | [ ] |
| Ranking and hierarchies | Medium | [ ] |
| Performance optimization | Medium | [ ] |
| Project lifecycle and security | Medium | [ ] |
| Knowledge Graph Engine | Course enrichment | [ ] |
These priorities are suggestions and not SAP exam weightings.
## Practicing the syllabus with one scenario
Tie Data Access and Calculation Views together through a single business case. A company wants to analyze transaction data held in an external database. Pick the data access approach first, then make the data available through virtualization or replication. Next, build a calculation view that combines the transactions with product information, using suitable joins, filters, and calculated columns. Finally, validate the output by checking records, aggregations, and unexpected values. Working this way shows what each modelling operation is for.
## Conclusion
The syllabus comes down to two domains and their supporting modules. Data Access covers provisioning, virtualization, replication, and transformation, and Calculation Views cover analytical modelling, SQL, performance, and project management. Use the module breakdown and checklist to find gaps and plan practical exercises. For more C_HAMOD exam practice, visit [The Exam Questions](https://theexamquestions.com/) alongside SAP's official certification information.
## Frequently asked questions
### What are the official C_HAMOD exam domains?
SAP currently publishes Data Access and Calculation Views, each with a weighting range of 41-50%.
### How many technical units are covered in the associated SAP courses?
The current data modelling course contains 20 units, while the data provisioning course contains four units.
### Are all 24 course units separately weighted in the exam?
No. SAP publishes two broad exam domains. The 24 course units give a more detailed technical structure but have no individual published weightings.
### What is the C_HAMOD exam duration?
SAP currently lists a three-hour system-based assessment with a 60% passing score.
### What is the difference between data virtualization and replication?
Virtualization gives access to remote information without necessarily transferring it, while replication transfers data into another location.
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