GIA_2412

1.Which of the following is unique about SAP's approach to Al?. SAP's deep integration of Al with business processes and analytics. Offering Al capabilities in their future products as of 2025. Utilizing Al mainly for marketing purposes. Focusing Al solely on customer support services.

13.How does SAP ensure the enterprise-readiness of its Al solutions?. By implementing rigorous product standards for Al capabilities. . By ensuring that Al models make bias-free decisions without human input. By using generic Al models without business context complying with Al ethics standards.

16.What advantage can you gain by leveraging different models from multiple providers through the SAP's generative Al hub?. Get more training data for new models. Train new models using SAP and non-SAP data. Enhance the accuracy and relevance of Al applications that use SAP's data assets. Design new product interfaces for SAP applications.

2.How can Joule improve workforce productivity? Note: There are 2 correct answers to this question. By maintaining strict adherence to data privacy regulations. By resolving hardware malfunctions. By offering generic task recommendations unrelated to specific roles. By providing context-based role-specific task assistance.

3.How does SAP deal with vulnerability risks created by generative Al? Note: There are 2 correct answers to this question. By implementing responsible Al use guidelines and strong product security standards. By identifying human, technical, and exfiltration risks through an Al Security Taskforce. By focusing on technological advancement only. By relying on external vendors to manage security threats.

4.What are some benefits of SAP Business Al? Note: There are 3 correct answers to this question (3). Intelligent business document processing. Face detection and face recognition. Automatic human emotion recognition. Al-powered forecasting and predictions. Personalized recommendations based on Al algorithms.

5.What are some drivers for the rapid adoption of generative AI? Note: There are 2 correct answers to this question (2). Availability of skilled developers. Significant hardware cost savings. Wide availability. Ease of use.

6.What is Machine Learning (ML)? (3). A subset of Al that focuses on enabling computer systems to learn and improve from experience or data. A statistical method for data processing that does not involve any Al techniques. A form of Al that only focuses on creating new content, including text, images, sound, and videos. A technology that equips machines with human-like capabilities such as problem-solving, visual perception, and decision-making.

7.What are some characteristics of the SAP generative Al hub? Note: There are 2 correct answers to this question. It operates independently of SAP's partners and ecosystem. It ensures relevant, reliable, and responsible business Al. It only supports traditional machine learning models. It provides instant access to a wide range of large language models (LLMs).

8.Which of the following are features of the SAP AI Foundation? Note: There are 2 correct answers to this question. Ready-to-use Al services. Al runtimes and lifecycle management. Open source Al model repository. Joule integration in SAP SuccessFactors.

9.What contract type does SAP offer for Al ecosystem partner solutions? (3). Annual subscription-only contracts. All-in-one contracts, with services that are contracted through SAP. Pay-as-you-go for each partner service. Bring Your Own License (BYOL) for embedded partner solutions.

10.Why is generative Al gaining significant attention and investment in the current business landscape? Note: There are 2 correct answers to this question. It lowers barriers to adoption. It can replicate complex technical skills without training or quality control. It can run entire business operations without human intervention. It only requires natural language skills to use.

11.What are some features of Joule? Note: There are 3 correct answers to this question. A. Generating standalone applications. Generating standalone applications. Providing coding assistance and content generation. Streamlining tasks with an Al assistant that knows your unique role. Maintaining data privacy while offering generative Al capabilities. Downloading and processing data.

12.What are some examples of generative Al technologies? Note: There are 2 correct answers to this question. Al models that generate new content based on training data. Rule-based algorithms. Robotic process automation. Foundation models.

14.Which of the following are grounding principles included in SAP's AI Ethics framework? Note: There are 3 correct answers to this question. Transparency and explainability. Human agency and oversight. Avoid bias and discrimination. Maximize business profits. Store all user data for legal proceedings.

15.Which of the following steps is NOT a requirement to use the Orchestration service?. Get an auth token for orchestration. Create an instance of an Al model. Create a deployment for orchestration. Modify the underlying Al models.

17.Which of the following capabilities does the generative Al hub provide to developers? Note: There are 2 correct answers to this question. Proprietary LLMs exclusively. Code generation to extend SAP BTP applications. Tools for prompt engineering and experimentation. Integration of foundation models into applications.

18.Which of the following are functionalities provided by the generative-Al-hub-SDK ? Note: There are 2 correct answers to this question. Interact with LLMs. Configure SAP BTP credentials. Customize SAP AI Launchpad. Create chat responses and embeddings.

19.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. Adopt best practice pricing strategies, such as outcome-based pricing. Weigh the cost of using advanced models against the expected return on investment. Avoid subscription-based pricing models. Use pricing models that have fixed rates irrespective of the usage patterns.

20.What does the Prompt Management feature of the SAP AI launchpad allow users to do? (2). Create and edit prompts. Provide personalized user interactions. Interact with models through a conversational interface. Access and manage saved prompts and their versions.

21.Which of the following techniques uses a prompt to generate or complete subsequent prompts (streamlining the prompt development process), and to effectively guide Al model responses?. Chain-of-thought prompting. Few-shot prompting. Meta prompting. One-shot prompting.

22.Which of the following steps must be performed to deploy LLMs in the generative Al hub?. A. Run the booster • Create service keys • Select the executable ID. B. Provision SAP AI Core • Check for foundation model scenario • Create a configuration • Create a deployment. C. Check for foundation model scenario • Create a deployment • Configuring entitlements. D. Provision SAP AI • Core Create a configuration.

23.You want to use the orchestration service through SAP's generative-Al-hub-sdk. What does the following code do? from gen_ai_hub.orchestration.models.11m import LLM 11m = LLM (name="gpt-40", version="latest", parameters= {"max_tokens": 256, "temperature": 0.2}. Define the LLM. Run the Orchestration Request. Create the Orchestration Configuration. Define the Template and Default Input Values.

24.What are the benefits of SAP's generative Al hub? Note: There are 2 correct answers to this question. Accelerate Al development with flexible access to a broad range of models. Provide libraries for no-code development. Build custom Al solutions and extend SAP applications. Send your data to various LLM providers for training feedbac.

25.Which of the following executables in generative Al hub works with Anthropic models?. GCP Vertex Al. Azure OpenAl Service. SAP AI Core. AWS Bedrock.

26.What are the applications of generative Al that go beyond traditional chatbot applications? Note: There are 2 correct answers to this question. To produce outputs based on software input. To follow a specific schema - human input, Al processing, and output for human consumption. To interpret human instructions and control software systems without necessarily producing output for human consumption. To interpret human instructions and control software systems always producing output for human consumption.

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"]). Generate random examples for language model training. Evaluate the performance of a language model using few-shot learning. Train a language model from scratch. Preprocess a dataset for machine learning.

29.You want to download a json output for a prompt and the response. Which of the following interfaces can you use in SAP's generative Al hub in SAP AI Launchpad?. Chat. Prompt management. Administration. Prompt Editor.

30.You want to extract useful information from customer emails to augment existing applications in your company. How can you use generative-ai-hub-sdk in this context?. Generate a new SAP application based on the mail data. Generate JSON strings based on extracted information. Generate random email content and send them to customers. Train custom models based on the mail data.