[2026年04月24日]C_AIG_2412試験問題集PDF正確率保証と更新された問題 [Q32-Q54]

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[2026年04月24日]C_AIG_2412試験問題集PDF正確率保証と更新された問題

合格させるC_AIG_2412試験にはリアルテストエンジンPDFには66問題あります

質問 32
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 feedback

質問 33
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

質問 34
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

質問 35
What are some components of the training pipeline in SAP AI Core?
Note: There are 2 correct answers to this question.

Input datasets stored in a hyperscaler object store

Executables that define the training process

The SAP HANA database for model storage

Automated deployment to Kubernetes clusters

質問 36
Which of the following steps must be performed to deploy LLMs in the generative Al hub?

Run the booster
* Create service keys
* Select the executable ID

Provision SAP AI Core
* Check for foundation model scenario
* Create a configuration
* Create a deployment

Check for foundation model scenario
* Create a deployment
* Configuring entitlements

Provision SAP AI
* Core Create a configuration
* Run the booster

質問 37
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.

質問 38
How does the Al API support SAP AI scenarios? Note: There are 2 correct answers to this question.

By integrating Al services into business applications

By providing a unified framework for operating Al services

By integrating Al models into third-party platforms like AWS

By managing Kubernetes clusters automatically

質問 39
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.

質問 40
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

質問 41
What are some components of the training pipeline in SAP AI Core? Note: There are 2 correct answers to this question.

Input datasets stored in a hyperscaler object store

Executables that define the training process

The SAP HANA database for model storage

Automated deployment to Kubernetes clusters

質問 42
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

質問 43
Where can you configure language models in generative Al hub?

The Configuration tab within ML Operations in SAP AI Launchpad

The Models tab in Prompt Editor

The Configuration tab of the SAP BTP cockpit

The Orchestration tab in SAP AI Launchpad

質問 44
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.

質問 45
Which of the following is a benefit of using Retrieval Augmented Generation?

It allows LLMs to access and utilize information beyond their initial training data.

It enables LLMs to learn new languages without additional training.

It eliminates the need for fine-tuning LLMs for specific tasks.

It reduces the computational resources required for language modeling.

質問 46
What can be done once the training of a machine learning model has been completed in SAP AI Core? Note: There are 2 correct answers to this question.

The model can be deployed in SAP HANA.

The model’s accuracy can be optimized directly in SAP HANA.

The model can be deployed for inferencing.

The model can be registered in the hyperscaler object store.

質問 47
What defines SAP’s approach to LLMs?

Prioritizing the development of proprietary LLMs with no integration to existing systems

Focusing solely on reducing the computational cost of training LLMs

Ensuring ethical AI practices and seamless business integration

Limiting LLM usage to non-business applications only

質問 48
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.

質問 49
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).

質問 50
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

質問 51
Which of the following must you do before connecting to a dataset in order to train a machine learning model in SAP Al Core?
Note: There are 2 correct answers to this question.

Store the dataset in a hyperscaler object store.

Grant access rights to the SAP BTP cockpit.

Provide the storage secret to access the dataset.

Store the dataset in the SAP HANA Vector Engine.

質問 52
What is the goal of prompt engineering?

To replace human decision-making with automated processes

To craft inputs that guide Al systems in generating desired outputs

To optimize hardware performance for Al computations

To develop new neural network architectures for Al models

質問 53
Which of the following steps must be performed to deploy LLMs in the generative Al hub?

Run the booster

Provision SAP AI Core

Check for foundation model scenario

Provision SAP AI

質問 54
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

最新をゲットせよ！C_AIG_2412認定練習テスト問題試験問題集：https://www.goshiken.com/SAP/C_AIG_2412-mondaishu.html

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[2026年04月24日]C_AIG_2412試験問題集PDF正確率保証と更新された問題 [Q32-Q54]

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