Developer
1. What is the core purpose of SAP Generative
AI Hub?
A. Manage SAP payroll systems
B. Central access to LLMs & AI foundation models
on SAP BTP
C. UI customization tool
D. SAP landscape transport tool
Answer: B
Hub provides unified access to generative AI
capabilities across SAP.
2. Which service executes machine learning
workloads at scale in SAP BTP?
A. SAP HANA Cloud
B. SAP AI Core
C. SAP Build Apps
D. SAP BW/4HANA
Answer: B
AI Core handles infrastructure, execution,
automation of AI operations.
,3. What is an embedding model used for?
A. Generating animated images
B. Converting text into numerical vectors for
semantic search
C. Running system upgrades
D. Planning logistics routes
Answer: B
4. Which statement best describes RAG
(Retrieval-Augmented Generation)?
A. LLM predicts random text
B. Combines LLMs with enterprise data retrieval
for context
C. Encrypts data for users
D. Processes payroll in background
Answer: B
5. SAP recommends prompt engineering for:
A. Optimizing API security headers
B. Improving model responses with clear
structured instructions
,C. Setting cost center values
D. Network segmentation
Answer: B
6. Which UI tool enables developers to manage
AI inference pipelines?
A. SAP Fiori Launchpad
B. AI Launchpad
C. SAP GUI
D. ABAP Editor
Answer: B
7. SAP’s Responsible AI guidelines emphasize:
A. Cost reduction only
B. Transparency, fairness, privacy, safety
C. Only cloud uptime
D. On-premise only solutions
Answer: B
8. Token usage in LLMs refers to:
A. SAP transport requests
B. Units of text processed by models
C. Binary database units
, D. HR data entries
Answer: B
9. What is the purpose of vector databases in
SAP AI scenarios?
A. Store sales orders
B. Store embeddings for similarity search
C. Store ABAP code
D. Store printer settings
Answer: B
10. Which API provides access to foundation
models in SAP BTP?
A. SAP AI API
B. RFC API
C. SAP GUI Scripting
D. SAP IM API
Answer: A
11. Which model type performs text
completion?
A. Embedding model
B. LLM (Generative model)