Data Engineer - SAP HANA Exam Guide [2026]

Exam format

This is the section most candidates get wrong. The live SAP Learning certification page shows 1 activity and explicitly labels it as a System Based Assessment. The page also shows English and a 60% cut score. That means you should expect a practical assessment experience rather than a traditional list of multiple-choice questions. Source

SAP explains that practical certification exams are non-proctored, open-book in spirit, and designed to reflect real work. For system-based exams, results come from task completion and system outputs, reviewed automatically or by evaluation scripts. SAP also says practical exams typically take two to three hours, but candidates should always confirm the exact time shown in their exam launch page. SourceSourceSource

Here is what that means in plain English:

• You are likely to work inside a live or guided SAP environment.
• The clock starts when you launch the exam.
• Breaks do not pause the timer.
• You need to complete the required tasks and confirm completion.
• Results are typically available quickly after review for system-based assessments. Source

Pro Tip: Train for navigation, execution accuracy, and validation discipline. Practical exams punish hesitation more than theory-based exams do.

Warning: If your current prep is based on memorising answer patterns from old MCQ sets, you are preparing for the wrong exam shape.

Quick Win: Open the official system-based assessment FAQ and read the candidate flow once before you start building your study plan. Source

A lot of candidates do know HANA concepts, but they lose time because the live assessment format feels unfamiliar on exam day.

TheExamQuestions helps close that gap with system-style tasks and hands-on question flows so you can practise the working pattern, not just the theory.

👉 Start here: Data Engineer - SAP HANA {C_HAMOD_2601} - System Tasks/Questions

Official skill domains and how to study them

The current public SAP pages do not expose the old exam blueprint in the same way legacy exam pages did, but the certification description and the two official courses make the real skill domains very clear. Use the table below as your study map.

Building calculation views

This is the heart of the certification. SAP's HC300 course focuses on graphical modeling, calculation views, common nodes, joins, unions, data slices, rank handling, and embedded functions. If you are weak here, everything else feels harder because most downstream exam tasks depend on getting the model right first. Source

• Difficulty: 9/10
• What to master: creating the right view type, understanding node purpose, checking output early, and avoiding unnecessary complexity.
• System-based exam context: In a practical exam, a wrong join or semantic setup is not a harmless conceptual miss. It usually creates a broken result set.

Pro Tip: After every model change in practice, check the output immediately. That habit saves huge amounts of debugging time later.

Modeling functions and semantics

HC300 publicly shows units on common nodes, joins, unions, data slices, ranking, and embedded functions. These are the features that separate a beginner model from a production-ready one. Source

• Difficulty: 8/10
• What to master: filters, parameters, rank nodes, slices, and when to simplify instead of over-engineering.
• System-based exam context: Expect tasks where the business requirement is hidden inside a modeling choice, not stated as a direct theory question.

Quick Win: Build one small practice model where you use rank, filters, and one parameter together. That single exercise teaches more than reading three theory pages.

Performance optimization

Even when the public page does not label a separate performance exam section, strong candidates think about performance while they model. The old syllabus language around model optimisation still maps well to the real HC300 skill set because joins, unions, and function-heavy views can become slow or messy fast if you design without intent. Source

• Difficulty: 9/10
• What to master: lean modeling, checking outputs, avoiding unnecessary layers, and understanding how design choices affect execution.
• System-based exam context: Performance skill often appears indirectly. SAP may not ask, "How do you optimise this?" Instead, a poorly designed object simply will not behave the way the task expects.

Warning: Candidates often treat performance as an advanced topic for later. In HANA modeling, it is a first-pass design topic.

The hardest part for many candidates is not syntax. It is learning how to solve modeling tasks cleanly under time pressure.

👉 C_HAMOD_2601 system based tasks are most useful here because it gives you task-driven practice that mirrors the "build, check, fix, confirm" rhythm you need in the real exam.

Data provisioning, virtualization, and replication

The HAHC55 course is built around this domain. SAP publicly lists outcomes such as explaining data provisioning technology, virtualising data, creating remote sources, creating virtual tables, accessing remote tables, handling replication technologies, and implementing transformations with flowgraphs. Source

• Difficulty: 8/10
• What to master: when to virtualise, when to replicate, how remote sources behave, and what object setup is needed.
• System-based exam context: This is a practical domain by nature. You need to be comfortable with the sequence of actions, not just the terminology.

Pro Tip: Always connect provisioning choices to business need. If you understand why a team would choose virtualisation over replication, the configuration steps make more sense.

SQL and SQLScript in model contexts

The older topic label still matters because real HANA data engineers eventually hit cases where graphical modeling alone is not enough. Even when the certification page does not publish this as a standalone public blueprint item, it remains part of the overall capability profile implied by the modeling journey and HANA engineering role. Source

• Difficulty: 7/10
• What to master: reading and understanding generated SQL behaviour, knowing where SQL-based logic fits, and avoiding overuse.
• System-based exam context: This is less about writing fancy code and more about choosing the right modeling approach.

Security, project setup, and model administration

HC300 also stresses project management and content organisation in SAP Business Application Studio. Candidates often underestimate this area because it sounds less exciting than views and replication, but environment readiness is a real exam skill. Source

• Difficulty: 6/10
• What to master: setting up the environment, organising content cleanly, and protecting model access appropriately.
• System-based exam context: If you cannot find, manage, or validate your objects efficiently, you burn time even when you know the solution.

Learning journey breakdown

The official learning journey is Free, Intermediate, includes 2 courses, and leads directly to the certification outcome. Total listed time is about 17 hours. SAP tags the journey with the role Data Scientist and the products SAP HANA Cloud and SAP HANA smart data integration. Source

Pro Tip: Do not just enrol in the journey. Turn it into your revision spine and attach your own lab practice to each course.

Course 1: HC300 - Developing Data Models with SAP HANA Cloud

This is the bigger course and the most important one for most candidates. SAP lists it as 14 hours, Intermediate, and 20 units. The public course page says it builds basic and fundamental data modeling skills, covers graphical modeling of calculation views, and includes project and content management inside SAP Business Application Studio. Source

Visible public outline items include:

• Unit 1: Preparing the Modeling Environment
• Unit 2: Creating Calculation Views
• Unit 3: Working with Common Nodes in Calculation Views
• Unit 4: Joining Data Sources in Calculation Views
• Unit 5: Working with Union Nodes in Calculation Views
• Unit 6: Creating Data Slices
• Unit 7: Ranking Data
• Unit 8: Embedding Functions in Calculation Views Source
• Why this course matters: It teaches the object-building core of the certification.

Warning: If you rush this course just to "finish the journey," you will struggle later when tasks require troubleshooting judgment.

Course 2: HAHC55 - Provisioning Data to SAP HANA Cloud

SAP lists this course as 3 hr 57 min, Intermediate, and 4 units. It focuses on how data gets into HANA Cloud and how it is transformed or replicated. SAP also lists complementary hands-on practice and live session options around the topic. Source

The four public units are:

• Unit 1: Outlining Data Provisioning
• Unit 2: Implementing Data Virtualization
• Unit 3: Implementing Data Replication
• Unit 4: Implementing Data Transformation Source

Why this course matters: Many candidates are stronger in modeling than in provisioning. This course closes that gap.

Quick Win: Finish HAHC55 before your final revision week. It is short enough to complete, but valuable enough to change your confidence level quickly.

Who should take this exam?

This certification makes the most sense for people who will actually build or support HANA data models and data flows, not for everyone who happens to work around SAP.

Best-fit candidates, in order of relevance:

1. SAP HANA data engineers
2. Data modelers working in SAP HANA Cloud
3. Consultants responsible for HANA data provisioning and modeling
4. Analytics engineers or BI professionals moving into HANA Cloud modeling
5. Technical SAP professionals who need hands-on HANA data engineering credibility

The broad old target-audience lists found on many thin blog pages are not very helpful. SAP's own wording is tighter: the certification is about data provisioning and data modelling for the role of an SAP HANA data engineer. Source

Pro Tip: If your day-to-day work is mostly project coordination or change management with little hands-on modeling, this may not be your best first SAP certification.