SAP C_AIG_2412
Certification | Practice
Questions & Study Guide
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SAP C_AIG_2412 Exam Details
Exam Code
C_AIG_2412
Full Exam Name
SAP Generative AI Developer
Solution
C_AIG_2412
Level
Associate
No. of Questions
60
Sample Questions
SAP C_AIG_2412 Certification Exam Sample Question
Practice Exams
SAP Generative AI Developer Certification Practice
Test
Passing Score
65%
Time Limit
120 Minutes
Languages
English, Japanese
SAP C_AIG_2412 Syllabus Content
Topic
Weight in exam
Large Language Models (LLMs)
21% - 30%
SAP AI Core
21% - 30%
SAP Business AI
11% - 20%
SAP's generative AI hub
31% - 40%
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SAP C_AIG_2412
Certification
Questions and Answers
Q1. How can Kubernetes infrastructure enhance the functionality
of SAP AI Core?
There are 3 correct answers to this question.
a) By automatically developing Al models without human intervention
b) By ensuring high availability and fault tolerance for applications
c) By supporting autoscaling of containers based on demand
d) By eliminating the requirement for Docker containers
e) By enabling the allocation of GPU resources for Al models
Answer
b) By ensuring high availability and fault
tolerance for applications
c) By supporting autoscaling of containers based
on demand
e) By enabling the allocation of GPU resources
for Al models
Q2. A financial services firm uses SAP Business AI to predict
cash flow and optimize account reconciliation processes. What
actions should the firm take to maximize SAP Business AI
capabilities?
There are 3 correct answers to this question.
a) Use predictive analytics for cash flow projections
b) Automate reconciliation workflows
c) Deploy AI-based fraud detection models
d) Integrate results with SAP Analytics Cloud
e) Develop custom models for risk assessment
Answer
a) Use predictive analytics for cash flow
projections
b) Automate reconciliation workflows
d) Integrate results with SAP Analytics Cloud
Q3. What are agents?
Please choose the correct answer.
a) Small units of code that perform specific tasks such as access to
external data sources
b) Software programs that can be used to interact with LLMs
c) Software programs that act like intermediaries between humans and
LLMS
d) Physical devices that process natural language data for LLMs.
Answer
c) Software programs that act like
intermediaries between humans and LLMS
04. What is the term for an LLM's ability to continue generating
text after receiving a partial input?
Please choose the correct answer.
a) Data Augmentation
b) Auto-completion
c) Zero-shot Learning
d) Text Extrapolation
Answer
b) Auto-completion
05. What challenge is addressed by the Generative AI Hub's builtin bias detection tools?
Please choose the correct answer.
a) Managing ERP workflows
b) Identifying inaccuracies in financial reports
c) Ensuring ethical AI model outputs
d) Enhancing system uptime
Answer
c) Ensuring ethical AI model outputs
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Certification
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