PASS GUARANTEED 2025 SAP C-AIG-2412: SAP CERTIFIED ASSOCIATE - SAP GENERATIVE AI DEVELOPER–HIGH-QUALITY TEST VALID

Pass Guaranteed 2025 SAP C-AIG-2412: SAP Certified Associate - SAP Generative AI Developer–High-quality Test Valid

Pass Guaranteed 2025 SAP C-AIG-2412: SAP Certified Associate - SAP Generative AI Developer–High-quality Test Valid

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Tags: Test C-AIG-2412 Valid, C-AIG-2412 Exam Papers, Latest C-AIG-2412 Test Cram, C-AIG-2412 Free Sample Questions, C-AIG-2412 Valid Braindumps Ppt

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You will need to pass the SAP C-AIG-2412 exam to achieve the SAP Certified Associate - SAP Generative AI Developer (C-AIG-2412) certification. Due to extremely high competition, passing the SAP Certified Associate - SAP Generative AI Developer (C-AIG-2412) exam is not easy; however, possible. You can use CertkingdomPDF products to pass the SAP Certified Associate - SAP Generative AI Developer (C-AIG-2412) exam on the first attempt. The SAP Certified Associate - SAP Generative AI Developer (C-AIG-2412) practice exam gives you confidence and helps you understand the criteria of the testing authority and pass the SAP Certified Associate - SAP Generative AI Developer (C-AIG-2412) exam on the first attempt.

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C-AIG-2412 Exam Papers - Latest C-AIG-2412 Test Cram

The C-AIG-2412 real questions are written and approved by our It experts, and tested by our senior professionals with many years' experience. The content of our C-AIG-2412 pass guide covers the most of questions in the actual test and all you need to do is review our C-AIG-2412 VCE Dumps carefully before taking the exam. Then you can pass the actual test quickly and get certification easily.

SAP C-AIG-2412 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 evaluated.
Topic 2
  • 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 3
  • 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 4
  • 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.

SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q27-Q32):

NEW QUESTION # 27
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. Evaluate the performance of a language model using few-shot learning
  • B. Generate random examples for language model training
  • C. Preprocess a dataset for machine learning
  • D. Train a language model from scratch

Answer: A


NEW QUESTION # 28
What are some functionalities provided by SAP Al Core?
Note: There are 3 correct answers to this question.

  • A. Continuous delivery and tenant isolation for scalability
  • B. Integration of Al services with business applications using a standardized API
  • C. Orchestration of Al workflows such as model training and inference
  • D. Management of SAP S/4HANA cloud infrastructure
  • E. Monitoring and retraining models in SAP Al Core

Answer: A,B,C


NEW QUESTION # 29
Which of the following is a benefit of using Retrieval Augmented Generation?

  • A. It allows LLMs to access and utilize information beyond their initial training data.
  • B. It eliminates the need for fine-tuning LLMs for specific tasks.
  • C. It reduces the computational resources required for language modeling.
  • D. It enables LLMs to learn new languages without additional training.

Answer: A


NEW QUESTION # 30
Which of the following steps must be performed to deploy LLMs in the generative Al hub?

  • A. Check for foundation model scenario
    * Create a deployment
    * Configuring entitlements
  • B. Provision SAP AI
    * Core Create a configuration
    * Run the booster
  • C. Provision SAP AI Core
    * Check for foundation model scenario
    * Create a configuration
    * Create a deployment
  • D. Run the booster
    * Create service keys
    * Select the executable ID

Answer: C


NEW QUESTION # 31
What is the goal of prompt engineering?

  • A. To develop new neural network architectures for Al models
  • B. To optimize hardware performance for Al computations
  • C. To replace human decision-making with automated processes
  • D. To craft inputs that guide Al systems in generating desired outputs

Answer: D


NEW QUESTION # 32
......

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