Practiced on erpprep.com? Your access has moved here — free.Claim your access
Try free C_AIG practice questions for the SAP Certified - SAP Generative AI Developer exam — each with the correct answer and a full rationale. Every question is original, performance-based practice we author to model the 2026 exam format, not real or leaked exam content.
Pick an answer, then reveal the correct option and why it's right. These are real drill questions from the C_AIG practice set.
A specialty coffee roastery in Finland built a grounded assistant in SAP's generative AI hub so warehouse staff can ask questions and get answers drawn from the company's product manuals, using document grounding in the orchestration service. The team uploaded the manual files into the grounding repository the assistant points at. When staff ask product-specific questions, the assistant replies with generic wording and never reflects the manuals; questions it should answer from them come back as "not found in the provided context." A developer confirms the orchestration pipeline runs end to end, the grounding step is switched on, and the model answers ordinary ungrounded prompts normally. Inspecting the repository, the developer sees the manual files are present, but the embedding job that turns documents into vector embeddings for the SAP HANA vector engine was never run, so nothing was placed in the vector store the retrieval step searches. A second repository, whose documents were embedded, returns correct answers for another team. The first instinct is to rewrite the prompt to force the manuals.
Why does the grounded assistant return generic answers, and what is the correct action?
A ceramics manufacturer in Portugal manages its prompts centrally in the Prompt Registry and uses a prompt template with input variables for the customer name and the order number, so support agents can generate order-status emails. After a developer wires the template into the drafting app, the produced emails show the literal variable placeholders in braces where the name and number should appear, while the surrounding wording is correct. The developer confirms the template is published in the registry, the app calls that exact template, and a test of the template inside the registry — where sample values are entered for the variables — renders a clean, personalised result. In the app's call, however, no values are passed for the template's input variables, so the placeholders flow through unfilled into the finished text. A second app that does supply the variable values produces fully personalised drafts from the same template. The team's first instinct is to edit the template to strip out the braces so the raw placeholders stop appearing.
Why do the drafted emails show the variable placeholders instead of real values, and what is the correct action?
A logistics startup in Kenya built a shipment-summary feature on the orchestration service in SAP's generative AI hub. In development the feature worked against a model the team had deployed earlier. For this feature the team chose a different, newer model and referenced it by name in the orchestration configuration, but every request now returns an error that the model cannot be reached. A developer confirms the orchestration service is healthy, the service credentials are valid, and the original feature still answers normally against the model that was deployed before. The newer model was selected in the configuration but was never deployed in the generative AI hub, so no running deployment exists for it to serve requests — a model has to be deployed before it can be consumed. A teammate who deployed the same newer model in her own setup calls it without any error. The team's first instinct is to regenerate the orchestration service key, on the assumption that the request is being rejected.
Why do requests to the newer model fail, and what is the correct action?
The C_AIG exam tests reasoning across a connected scenario, not just standalone questions. Here's a real one — work its challenges in order in the interactive player.
Business Context Meridian Assure is a mid-sized travel-insurance provider headquartered in Lisbon, serving retail policyholders across several European markets. Its digital team is building a customer-facing generative-AI assistant that answers policy questions, explains claim eligibility, and drafts first-line…
CHALLENGE 1 — Anchoring Standing Conduct Rules in the System Role
CHALLENGE 2 — Isolating Untrusted Portal Input Against Injection
No — and that's deliberate. ERPPrep does not provide real, actual, or leaked exam questions, and we don't sell exam dumps: sharing live exam content breaches SAP's certification agreement and can get your certification revoked. Every sample here is original practice we author to match the style, difficulty, and performance-based format of the C_AIG exam — so you build genuine skill that transfers to exam day, instead of memorizing answers that may never appear.
The full set spans 122 skill drills and 13 scenario simulations across every blueprint area:
For the full breakdown, learning path, and exam facts, see the C_AIG study guide.
The SAP C_AIG certification confirms that you can develop generative AI solutions for real business needs using SAP's generative AI hub. It recognizes practical command of advanced prompt engineering, prompt template management through the Prompt Registry, and workflow orchestration within SAP AI Launchpad. Passing shows an employer you can move from an idea to a governed, working AI capability on SAP's platform. The credential targets developers who want proof of applied, hands-on skill rather than conceptual familiarity alone.
The SAP C_AIG certification is designed for developers who build AI-enabled applications on SAP's platform and want a recognized associate credential. It also suits data scientists and technical consultants moving into generative AI delivery who need to prove they can operate the generative AI hub. Candidates usually have some coding background and want to formalize their ability to design prompts, orchestrate models, and ground responses in enterprise data. The badge signals readiness to contribute to AI projects as a capable team member.
The SAP C_AIG exam focuses on SAP AI Core and the generative AI hub accessed through SAP AI Launchpad. That environment is where you reach hosted large language models, manage prompts, and orchestrate AI workflows for enterprise use. Supporting tooling such as the SAP Cloud SDK for AI and the SAP HANA vector engine also appears, since integration and grounding are part of the scope. Knowing how these pieces connect is central to both the learning journey and the certification activity.
Unlock all 122 skill drills and 13 scenario simulations, with unlimited attempts and answer rationales. Practice until you're sharp and confident — then walk in ready.
Want a timed run? The full free sample drill grades you and tracks your accuracy — no purchase needed.
Open the free drillCHALLENGE 3 — Enforcing the Internal-Data Boundary Under Adversarial Phrasing
CHALLENGE 4 — Constraining Assistant Output to a Compliance-Approved Shape
CHALLENGE 5 — Preserving Predictable Refusals While Tuning Tone
Work through every phase in the interactive player
Open the scenarioPassing the SAP C_AIG certification demonstrates cloud application development skill, applied artificial-intelligence capability, and day-to-day fluency with generative AI on SAP. In practical terms, you can engineer and harden prompts, reuse templates at scale, orchestrate multi-step model workflows, and ground outputs in trusted company data for reliable answers. It also signals that you understand where large language models help and where their limits require careful design. Employers read the credential as evidence of hands-on, production-minded AI delivery.
The SAP C_AIG exam uses a System-Based Assessment delivered as a single hands-on activity. Instead of answering a long list of multiple-choice questions, you complete tasks inside a configured system, so the exam measures whether you can actually build and operate generative AI features. This format rewards applied practice with the generative AI hub over memorized facts. Working through prompt design, orchestration, and grounding steps in a live environment beforehand is the most dependable way to prepare.
The published cut score for the SAP C_AIG exam is 76 percent. That threshold sits higher than the 60 percent many SAP associate exams use, signaling that a passing candidate is expected to show broad, dependable command of the generative AI hub rather than partial familiarity. Because the assessment is task-based, you need to execute correctly across the whole activity, not just recognize the right idea. Consistent hands-on rehearsal is the surest route to clearing that bar.
More answers in the full C_AIG FAQ.