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SAP Certified Associate - SAP Generative AI Developer Sample Questions (Q25-Q30):

NEW QUESTION # 25
What does SAP recommend you do before you start training a machine learning model in SAP AI Core? Note: There are 3 correct answers to this question.

A. Perform manual data integration with SAP HANA.
B. Configure the training pipeline using templates.
C. Register the input dataset in SAP AI Core.
D. Configure the model deployment in SAP Al Launchpad.
E. Define the required infrastructure resources for training.

Answer: B,C,E

NEW QUESTION # 26
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 # 27
Which of the following is unique about SAP's approach to Al?

A. Utilizing Al mainly for marketing purposes.
B. Focusing Al solely on customer support services.
C. SAP's deep integration of Al with business processes and analytics.
D. Offering Al capabilities in their future products as of 2025.

Answer: C

Explanation:
SAP distinguishes itself by deeply embedding Artificial Intelligence (AI) into its core business processes and analytics, enhancing efficiency and decision-making across various enterprise functions.
1. Integration of AI into Business Processes:
* SAP Business AI:SAP focuses on solving customers' business problems by integrating AI directly into business processes, rather than offering general-purpose AI platforms. This approach ensures that AI solutions are tailored to specific business needs, enhancing process efficiency and effectiveness.
* SAP S/4HANA Integration:By embedding AI into SAP S/4HANA, SAP enables real-time data analysis and process optimization. This integration allows for improved supply chain efficiency, enhanced financial decision-making, and personalized customer experiences.
2. AI-Driven Analytics:
* SAP Analytics Cloud:This solution combines AI with analytics and planning, unlocking the full potential of business data. It provides advanced analytics capabilities, enabling businesses to make informed decisions based on real-time insights.
* Predictive Analytics Library:SAP HANA includes a Predictive Analytics Library with native algorithms for statistical measures, clustering, classification, and time series analysis. This facilitates advanced data processing and predictive analytics within business applications.
3. AI in Enterprise Applications:
* SAP SuccessFactors:AI is integrated into SAP SuccessFactors to enhance human resources processes, such as talent acquisition and employee engagement, by providing data-driven insights and automating routine tasks.
* SAP AI Business Services:These services offer reusable AI capabilities that can be integrated across various business processes, automating tasks like document processing andenriching customer experiences.

NEW QUESTION # 28
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

Explanation:
When training a machine learning model using SAP AI Core, defining an executable requires specifying certain key components to ensure the training process is efficient and effective.
1. Pipeline Containers to Be Used:
* Definition:Pipeline containers encapsulate the environments and dependencies necessary for each step of the machine learning workflow, including data preprocessing, model training, and evaluation.
* Specification in Executable:Within the executable, it's essential to define which pipeline containers will be utilized to ensure that each stage of the training process has the appropriate tools and libraries.

NEW QUESTION # 29
What are some characteristics of the SAP generative Al hub? Note: There are 2 correct answers to this question.

A. It only supports traditional machine learning models.
B. It operates independently of SAP's partners and ecosystem.
C. It provides instant access to a wide range of large language models (LLMs).
D. It ensures relevant, reliable, and responsible business Al.

Answer: C,D

Explanation:
The SAP Generative AI Hub is designed to integrate generative AI into business processes, offering several key features:
1. Ensuring Relevant, Reliable, and Responsible Business AI:
* Trusted AI Integration:The Generative AI Hub consolidates access to large language models (LLMs) and foundation models, grounding them in business and context data. This integration ensures that AI solutions are pertinent, dependable, and adhere to responsible AI practices.
2. Providing Instant Access to a Wide Range of Large Language Models (LLMs):
* Diverse Model Access:The hub offers immediate access to a broad spectrum of LLMs fromvarious providers, such as GPT-4 by Azure OpenAI and open-source models like Falcon-40b. This variety enables developers to select models that best fit their specific use cases.
3. Integration with SAP AI Core and AI Launchpad:
* Seamless Orchestration:The Generative AI Hub is part of SAP AI Core and AI Launchpad, facilitating the incorporation of generative AI into AI tasks. It streamlines innovation and ensures compliance, benefiting both SAP's internal needs and its broader ecosystem of partners and customers.

NEW QUESTION # 30
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