[2025] Free C_AIG_2412 Exam Dumps to Pass Exam Easily
C_AIG_2412 Exam Dumps, C_AIG_2412 Practice Test Questions
SAP C_AIG_2412 Exam Syllabus Topics:
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NEW QUESTION # 32
Which technique is used to supply domain-specific knowledge to an LLM?
- A. Domain-adaptation training
- B. Fine-tuning the model on general data
- C. Retrieval-Augmented Generation
- D. Prompt template expansion
Answer: A
NEW QUESTION # 33
What are some examples of generative Al technologies?
Note: There are 2 correct answers to this question.
- A. Rule-based algorithms
- B. Foundation models
- C. Al models that generate new content based on training data
- D. Robotic process automation
Answer: B,C
NEW QUESTION # 34
Which of the following statements accurately describe the RAG process? Note: There are 2 correct ans-wers to this question.
- A. The LLM directly ans wers the user's question without accessing external information.
- B. The retrieved content is combined with the LLM's capabilities to generate a response.
- C. The user's questi on is used to search a knowledge base or a set of documents.
- D. The embedding model stores the generated ans wers for future reference.
Answer: B,C
NEW QUESTION # 35
Which of the following are features of the SAP AI Foundation? Note: There are 2 correct answers to this question.
- A. Open source Al model repository
- B. Ready-to-use Al services
- C. Joule integration in SAP SuccessFactors
- D. Al runtimes and lifecycle management
Answer: B,D
NEW QUESTION # 36
What are some drivers for the rapid adoption of generative AI?
Note: There are 2 correct answers to this question.
- A. Wide availability
- B. Ease of use
- C. Significant hardware cost savings
- D. Availability of skilled developers
Answer: A,B
NEW QUESTION # 37
What are some features of Joule?
Note: There are 3 correct answers to this question.
- A. Maintaining data privacy while offering generative Al capabilities.
- B. Downloading and processing data.
- C. Streamlining tasks with an Al assistant that knows your unique role.
- D. Generating standalone applications.
- E. Providing coding assistance and content generation.
Answer: A,C,E
NEW QUESTION # 38
What is the purpose of splitting documents into smaller overlapping chunks in a RAG system?
- A. To improve the efficiency of encoding queries into vector representations
- B. To simplify the process of training the embedding model
- C. To reduce the storage space required for the vector database
- D. To enable the matching of different relevant passages to user queries
Answer: D
NEW QUESTION # 39
What are some functionalities provided by SAP Al Core? Note: There are 3 correct answers to this question.
- A. Monitoring and retraining models in SAP Al Core
- B. Integration of Al services with business applications using a standardized API
- C. Management of SAP S/4HANA cloud infrastructure
- D. Continuous delivery and tenant isolation for scalability
- E. Orchestration of Al workflows such as model training and inference
Answer: B,D,E
NEW QUESTION # 40
How do resource groups in SAP AI Core improve the management of machine learning workloads? Note: There are 2 correct answers to this question.
- A. They enhance pipeline execution speeds through workload distribution.
- B. They ensure workload separation for different tenants or departments.
- C. They provide isolation for datasets and Al artifacts.
- D. They enable simultaneous orchestration of Kubernetes clusters.
Answer: B,C
NEW QUESTION # 41
What is Machine Learning (ML)?
- A. A technology that equips machines with human-like capabilities such as problem-solving, visual perception, and decision-making.
- B. A subset of Al that focuses on enabling computer systems to learn and improve from experience or data.
- C. A form of Al that only focuses on creating new content, including text, images, sound, and videos.
- D. A statistical method for data processing that does not involve any Al techniques.
Answer: A,C,D
NEW QUESTION # 42
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. The SAP HANA database for model storage
- C. Input datasets stored in a hyperscaler object store
- D. Automated deployment to Kubernetes clusters
Answer: A,C
NEW QUESTION # 43
Which of the following are features of the SAP AI Foundation?
Note: There are 2 correct answers to this question.
- A. Open source Al model repository
- B. Ready-to-use Al services
- C. Joule integration in SAP SuccessFactors
- D. Al runtimes and lifecycle management
Answer: B,D
NEW QUESTION # 44
What capabilities does the Exploration and Development feature of the generative Al hub provide?
Note: There are 2 correct answers to this question.
- A. Al playground and chat
- B. Automatic model selection
- C. Develop and debug ABAP code
- D. Prompt editor and management
Answer: A,D
NEW QUESTION # 45
Which of the following steps is NOT a requirement to use the Orchestration service?
- A. Get an auth token for orchestration
- B. Create an instance of an Al model
- C. Create a deployment for orchestration
- D. Modify the underlying Al models
Answer: D
NEW QUESTION # 46
What does the Prompt Management feature of the SAP AI launchpad allow users to do?
- A. Create and edit prompts
- B. Provide personalized user interactions
- C. Access and manage saved prompts and their versions
- D. Interact with models through a conversational interface
Answer: A,C
NEW QUESTION # 47
Which statement best describes the Chain-of-Thought (COT) prompting technique?
- A. Linking multiple Al models in sequence, where each model's output becomes the input for the next model in the chain.
- B. Writing a series of connected prompts creating a chain of related information.
- C. Concatenating multiple related prompts to form a chain, guiding the model through sequential reasoning steps.
- D. Connecting related concepts by having the LLM generate chains of ideas.
Answer: C
NEW QUESTION # 48
What contract type does SAP offer for Al ecosystem partner solutions?
- A. Annual subscription-only contracts
- B. Pay-as-you-go for each partner service
- C. Bring Your Own License (BYOL) for embedded partner solutions
- D. All-in-one contracts, with services that are contracted through SAP
Answer: A,B,D
NEW QUESTION # 49
What must be defined in an executable to train a machine learning model using SAP AI Core? Note:
There are 2 correct answers to this question.
- A. Deployment templates for SAP AI Launchpad
- B. Infrastructure resources such as CPUs or GPUs
- C. Pipeline containers to be used
- D. User scripts to manually execute pipeline steps
Answer: B,C
NEW QUESTION # 50
You want to assign urgency and sentiment categories to a large number of customer emails. You want to get a valid json string output for creating custom applications. You decide to develop a prompt for the same using generative Al hub.
What is the main purpose of the following code in this context?
prompt_test = """Your task is to extract and categorize messages. Here are some examples:
{{?technique_examples}}
Use the examples when extract and categorize the following message:
{{?input}}
Extract and return a json with the following keys and values:
- "urgency" as one of {{?urgency}}
- "sentiment" as one of {{?sentiment}}
"categories" list of the best matching support category tags from: {{?categories}} Your complete message should be a valid json string that can be read directly and only contains the keys mentioned in t import random random.seed(42) k = 3 examples random. sample (dev_set, k) example_template = """<example> {example_input} examples
'\n---\n'.join([example_template.format(example_input=example ["message"], example_output=json.dumps (example[ f_test = partial (send_request, prompt=prompt_test, technique_examples examples, **option_lists) response = f_test(input=mail["message"])
- A. Train a language model from scratch
- B. Generate random examples for language model training
- C. Evaluate the performance of a language model using few-shot learning
- D. Preprocess a dataset for machine learning
Answer: C
NEW QUESTION # 51
How can Joule improve workforce productivity?
Note: There are 2 correct answers to this question.
- A. By providing context-based role-specific task assistance.
- B. By resolving hardware malfunctions.
- C. By maintaining strict adherence to data privacy regulations.
- D. By offering generic task recommendations unrelated to specific roles.
Answer: A,C
NEW QUESTION # 52
Which of the following is a benefit of using Retrieval Augmented Generation?
- A. It reduces the computational resources required for language modeling.
- B. It allows LLMs to access and utilize information beyond their initial training data.
- C. It eliminates the need for fine-tuning LLMs for specific tasks.
- D. It enables LLMs to learn new languages without additional training.
Answer: B
NEW QUESTION # 53
What are some drivers for the rapid adoption of generative AI? Note: There are 2 correct answers to this question.
- A. Wide availability
- B. Ease of use
- C. Significant hardware cost savings
- D. Availability of skilled developers
Answer: A,B
NEW QUESTION # 54
What are some SAP recommendations to evaluate pricing and rate information of model usage within SAP's generative Al hub?
Note: There are 2 correct answers to this question.
- A. Adopt best practice pricing strategies, such as outcome-based pricing
- B. Weigh the cost of using advanced models against the expected return on investment
- C. Avoid subscription-based pricing models
- D. Use pricing models that have fixed rates irrespective of the usage patterns
Answer: A,B
NEW QUESTION # 55
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