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SAP C-AIG-2412 Practice Test Pdf - C-AIG-2412 Practice Exams Free

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SAP C-AIG-2412 Exam Syllabus Topics:

Topic
Details

Topic 1

Large Language Models (LLMs): This section of the exam measures the skills of AI Developers and covers the evolution of large language models, distinguishing them from traditional IT operations analytics. It also explores the current stages of AIOps systems and their implications for organizations. A key skill assessed is understanding the foundational concepts behind LLMs and their applications in various contexts.

Topic 2

SAP Business AI: This section of the exam measures the skills of business analysts and covers the features and capabilities of SAP Business AI. It includes exploring how AI can automate processes, provide real-time insights, and enhance decision-making across various business functions.

Topic 3

SAP's Generative AI Hub: This section of the exam measures the skills of technology strategists and covers the functionalities provided by SAP's Generative AI Hub. It emphasizes how organizations can use generative AI to create new content and automate complex tasks. A vital skill evaluated is applying generative AI techniques to enhance business processes and customer experiences.

Topic 4

SAP AI Core: This section of the exam measures the skills of SAP developers and covers the core components of SAP's AI framework. It emphasizes how these components integrate with existing systems to enhance functionality and performance. Leveraging SAP AI Core to develop intelligent applications that meet business needs is a critical skill that needs to be evaluated.

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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q31-Q36):

NEW QUESTION # 31
What are some components of the training pipeline in SAP AI Core? Note: There are 2 correct answers to this question.

A. Executables that define the training process
B. Automated deployment to Kubernetes clusters
C. The SAP HANA database for model storage
D. Input datasets stored in a hyperscaler object store

Answer: A,D

NEW QUESTION # 32
Which of the following sequence of steps does SAP recommend you use to solve a business problem using generative Al hub?

A. Create a basic prompt in SAP AI Launchpad
* Evaluate various models for the problem using generative-ai-hub-sdk
* Scale the solution using generative-ai-hub-sdk
* Create a baseline evaluation method for the simple prompt
* Enhance the prompts.
B. Create a basic prompt in SAP AI Launchpad
* Enhance the prompts
* Create a baseline evaluation method for the simple prompt
* Evaluate various models for the problem using generative-ai-hub-sdk
* Scale the solution using generative-ai-hub-sdk
C. Create a basic prompt in SAP AI Launchpad
* Scale the solution using generative-ai-hub-sdk
* Create a baseline evaluation method for the simple prompt
* Enhance the prompts
* Evaluate various models for the problem using generative-ai-hub-sdk

Answer: B

NEW QUESTION # 33
What is the primary function of the embedding model in a RAG system?

A. To encode queries and documents into vector representations for comparison
B. To store vector representations of documents and search for relevant passages
C. To evaluate the faithfulness and relevance of generated answers
D. To generate responses based on retrieved documents and user queries

Answer: A

NEW QUESTION # 34
What is a part of LLM context optimization?

A. Adjusting the model's output format and style
B. Enhancing the computational speed of the model
C. Providing the model with domain-specific knowledge needed to solve a problem
D. Reducing the model's size to improve efficiency

Answer: C

NEW QUESTION # 35
What are some benefits of using an SDK for evaluating prompts within the context of generative Al? Note: There are 3 correct answers to this question.

A. Supporting low code evaluations using graphical user interface
B. Automating prompt testing across various scenarios
C. Providing metrics to quantitatively assess response quality
D. Creating custom evaluators that meet specific business needs
E. Maintaining data privacy by using data masking techniques

Answer: B,C,D

NEW QUESTION # 36
......

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