SAP C_AIG_2412試験問題集で[2025年最新] 有効な試験練習問題集解答 [Q28-Q46]

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SAP C_AIG_2412試験問題集で[2025年最新] 有効な試験練習問題集解答

C_AIG_2412問題集で掴み取れ![最新2025]SAP試験合格させます


SAP C_AIG_2412 認定試験の出題範囲:

トピック出題範囲
トピック 1
  • SAP AI Core: この試験セクションでは、SAP 開発者のスキルを測定し、SAP の AI フレームワークのコア コンポーネントを取り上げます。これらのコンポーネントを既存のシステムと統合して機能とパフォーマンスを強化する方法に重点が置かれています。SAP AI Core を活用してビジネス ニーズを満たすインテリジェント アプリケーションを開発することは、評価される重要なスキルです。
トピック 2
  • SAP Business AI: この試験セクションでは、ビジネスアナリストのスキルを測定し、SAP Business AI の機能と能力をカバーします。AI がどのようにプロセスを自動化し、リアルタイムの洞察を提供し、さまざまなビジネス機能にわたって意思決定を強化するかについて検討します。
トピック 3
  • 大規模言語モデル (LLM): この試験セクションでは、AI 開発者のスキルを測定し、従来の IT 運用分析と区別する大規模言語モデルの進化について説明します。また、AIOps システムの現在の段階と組織への影響についても検討します。評価される重要なスキルは、LLM の背後にある基本概念と、さまざまなコンテキストでのその応用を理解することです。
トピック 4
  • SAP の Generative AI Hub: この試験セクションでは、テクノロジー戦略担当者のスキルを測定し、SAP の Generative AI Hub が提供する機能について取り上げます。組織が Generative AI を使用して新しいコンテンツを作成し、複雑なタスクを自動化する方法に重点が置かれています。評価される重要なスキルは、Generative AI 技術を適用してビジネス プロセスと顧客エクスペリエンスを強化することです。

 

質問 # 28
What is the primary function of the generative Al hub in SAP's Al Foundation?

  • A. To serve as an abstraction layer to access a range of foundation Al models
  • B. To store embeddings of unstructured data for semantic data retrieval
  • C. To manage the Al lifecycle efforts end-to-end
  • D. To provide ready-to-use Al services for document processing

正解:A


質問 # 29
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})

  • A. Create the Orchestration Configuration
  • B. Run the Orchestration Request
  • C. Define the LLM
  • D. Define the Template and Default Input Values

正解:C


質問 # 30
What are some use cases for fine-tuning of a model? Note: There are 2 correct answers to this question.

  • A. To quickly create iterations on a new use case
  • B. To customize outputs for specific types of inputs
  • C. To introduce new knowledge to a model in a resource-efficient way
  • D. To sanitize model outputs

正解:B、C


質問 # 31
What are some drivers for the rapid adoption of generative AI?
Note: There are 2 correct answers to this question.

  • A. Significant hardware cost savings
  • B. Availability of skilled developers
  • C. Ease of use
  • D. Wide availability

正解:C、D


質問 # 32
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. Avoid subscription-based pricing models
  • B. Use pricing models that have fixed rates irrespective of the usage patterns
  • C. Adopt best practice pricing strategies, such as outcome-based pricing
  • D. Weigh the cost of using advanced models against the expected return on investment

正解:C、D


質問 # 33
Which of the following are features of the SAP AI Foundation? Note: There are 2 correct answers to this question.

  • A. Joule integration in SAP SuccessFactors
  • B. Ready-to-use Al services
  • C. Open source Al model repository
  • D. Al runtimes and lifecycle management

正解:B、D


質問 # 34
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. Infrastructure resources such as CPUs or GPUs
  • B. Pipeline containers to be used
  • C. Deployment templates for SAP AI Launchpad
  • D. User scripts to manually execute pipeline steps

正解:A、B


質問 # 35
What are some metrics to evaluate the effectiveness of a Retrieval Augmented Generation system? Note: There are 2 correct answers to this question.

  • A. Speed
  • B. Relevance
  • C. Carbon footprint
  • D. Faithfulness

正解:B、D


質問 # 36
What are some benefits of using an SDK for evaluating prompts within the context of generative Al? Note: There are 3 correct answers to this question.

  • A. Supporting low code evaluations using graphical user interface
  • B. Maintaining data privacy by using data masking techniques
  • C. Providing metrics to quantitatively assess response quality
  • D. Automating prompt testing across various scenarios
  • E. Creating custom evaluators that meet specific business needs

正解:C、D、E


質問 # 37
What capabilities does the Exploration and Development feature of the generative Al hub provide?
Note: There are 2 correct answers to this question.

  • A. Automatic model selection
  • B. Al playground and chat
  • C. Develop and debug ABAP code
  • D. Prompt editor and management

正解:B、D


質問 # 38
What are some components of the training pipeline in SAP AI Core?
Note: There are 2 correct answers to this question.

  • A. Input datasets stored in a hyperscaler object store
  • B. The SAP HANA database for model storage
  • C. Automated deployment to Kubernetes clusters
  • D. Executables that define the training process

正解:A、D


質問 # 39
Which of the following steps must be performed to deploy LLMs in the generative Al hub?

  • A. Provision SAP AI Core
  • B. Check for foundation model scenario
  • C. Run the booster
  • D. Provision SAP AI

正解:A


質問 # 40
What are some functionalities provided by SAP Al Core? Note: There are 3 correct answers to this question.

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

正解:A、C、E


質問 # 41
What are some examples of generative Al technologies? Note: There are 2 correct answers to this question.

  • A. Rule-based algorithms
  • B. Al models that generate new content based on training data
  • C. Foundation models
  • D. Robotic process automation

正解:B、C


質問 # 42
Which of the following steps must be performed to deploy LLMs in the generative Al hub?

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

正解:B


質問 # 43
What is the goal of prompt engineering?

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

正解:C


質問 # 44
How can Joule improve workforce productivity? Note: There are 2 correct answers to this question.

  • A. By resolving hardware malfunctions.
  • B. By maintaining strict adherence to data privacy regulations.
  • C. By offering generic task recommendations unrelated to specific roles.
  • D. By providing context-based role-specific task assistance.

正解:B、D


質問 # 45
What is the primary function of the embedding model in a RAG system?

  • A. To generate responses based on retrieved documents and user queries
  • B. To store vector representations of documents and search for relevant passages
  • C. To evaluate the faithfulness and relevance of generated answers
  • D. To encode queries and documents into vector representations for comparison

正解:D


質問 # 46
......

C_AIG_2412試験問題集PDF正確率保証と更新された問題:https://www.jpntest.com/shiken/C_AIG_2412-mondaishu

合格させるC_AIG_2412試験にはリアル試験エンジンPDFには62問題あります:https://drive.google.com/open?id=1o0LNE7a5VZqWZWYFqjXOmAKHRMsxV0g7

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