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Google Generative-AI-Leader日本語 Exam Overview:

Certification Vendor:Google Cloud
Exam Name:Google Cloud Certified - Generative AI Leader Exam
Exam Number:GCP-GAIL
Passing Score:Pass / Fail (Approx 70%)
Exam Duration:90 minutes
Available Languages:English
Certificate Validity Period:3 years
Related Certifications:Google Cloud Certified - Generative AI Leader
Exam Price:USD 99.00
Exam Format:Multiple choice questions with single or multiple correct answers
Real Exam Qty:50-60
Sample Questions: DOWNLOAD DEMO
Exam Way:Remote as well as onsite
Pre Condition:This certification is for anyone in any job role, with or without hands-on technical experience.
Official Syllabus URL:https://cloud.google.com/learn/certification/generative-ai-leader

Google Generative-AI-Leader日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Fundamentals of generative AI30%- Describe how various data types are used in gen AI and the business implications.
  • 1. Explaining the characteristics and importance of data quality and data accessibility in AI (e.g., completeness, consistency, relevance, availability, cost, format)
  • 2. Identifying the differences between labeled and unlabeled data
  • 3. Identifying the differences between structured and unstructured data, and identifying real world examples of each type
- Identify the core layers of the gen AI landscape and the business implications.
  • 1. Applications
  • 2. Infrastructure
  • 3. Models
  • 4. Platforms
  • 5. Agents
- Describe core generative AI (gen AI) concepts and use cases.
  • 1. Identifying the stages of the machine learning lifecycle (e.g., data ingestion, data preparation, model training, model deployment, model management) and the Google Cloud tools for each stage
  • 2. Defining core gen AI concepts (e.g., artificial intelligence, natural language processing, machine learning, generative AI, foundation models, multimodal foundation models, diffusion models, prompt tuning, prompt engineering, large language models)
  • 3. Describing the machine learning approaches (e.g., supervised, unsupervised, reinforcement)
  • 4. Identifying how to choose the appropriate foundation model for a business use case (e.g., modality, context window, security, availability and reliability, cost)
Topic 2: Business strategies for a successful gen AI solution15%- Describe change management best practices and their importance.
  • 1. Enabling AI adoption
  • 2. Creating a culture of innovation
- Describe Google's approach to responsible AI and its importance.
  • 1. Responsible AI best practices
  • 2. Google's AI principles
- Describe best practices for a successful gen AI project.
  • 1. Choosing the right model
  • 2. Evaluating AI solutions
  • 3. Building a business case
Topic 3: Techniques to improve gen AI model output20%- Describe how grounding can be used to improve model output.
  • 1. Grounding with Google Search
  • 2. Grounding with enterprise data
- Describe prompt engineering techniques and their purpose.
  • 1. One-shot
  • 2. Few-shot
  • 3. Chain of thought
  • 4. Zero-shot
- Describe the process of fine-tuning gen AI models.
  • 1. Supervised tuning
  • 2. Reinforcement learning from human feedback (RLHF)
Topic 4: Google Cloud's generative AI offerings35%- Identify the use cases and strengths of Google's foundation models.
  • 1. Imagen
  • 2. Veo
  • 3. Gemini
  • 4. Gemma
- Describe Google Cloud's gen AI product and service portfolio.
  • 1. Google Workspace
  • 2. Vertex AI Studio
  • 3. Vertex AI
  • 4. Model Garden
  • 5. Gemini for Google Cloud

Generative-AI-Leader日本語 Exam FAQ

The package includes 117 practice questions for the Generative-AI-Leader日本語 exam, all with verified answers. The same content is available in three formats, so you can switch freely.

The Generative-AI-Leader日本語 exam contains 50-60 questions to complete within 90 minutes minutes. Rehearsing under the same limit on the simulator builds calm, automatic pacing.

The PDF reads on phones, tablets, and computers, and it prints cleanly for candidates who like marking notes on paper. The PC file is an interactive simulator that makes rehearsal engaging. The online file is the updated edition of the PC version: intelligent functions, real-test simulation, and no limit on installation devices. All three carry the same questions and answers.

This certification is for anyone in any job role, with or without hands-on technical experience.

  • Fundamentals of generative AI (30%)
  • Business strategies for a successful gen AI solution (15%)
  • Google Cloud's generative AI offerings (35%)

Plan your hours according to each topic's weight.

Generative-AI-Leader日本語 requires Pass / Fail (Approx 70%) to pass, and the official exam fee is USD 99.00. Fixing both numbers early keeps your practice target and your budget on the same page.

Before you buy, our team answers any question about the Google Cloud Certified - Generative AI Leader Exam (Generative-AI-Leader日本語版) material, and the free demo lets you test it. After payment, the files reach your email within seconds, updates follow by email whenever the exam changes, and we protect your personal information throughout. Promotions appear on our homepage from time to time, so regular visitors often buy at a better price.

Google Cloud Certified - Generative AI Leader Exam (Generative-AI-Leader日本語版) Sample Questions:

Question #1

アニメーションスタジオは、シーンやキャラクターの行動を記述した文章に基づいて、短いアニメーション作品を迅速に制作する必要があります。彼らはアニメーションのストーリーボードをプレビューし、ストーリーや流れについて迅速なフィードバックを得たいと考えています。なぜ彼らはこの作業にVeoを使うべきなのでしょうか?

  • A. Veoは、テキストや静止画から動画を生成することに最適化されています。
  • B. Veoは軽量モデルで、特殊なAIアプリケーション向けにカスタマイズ可能なソリューションを提供します。
  • C. Veoは、アプリケーション用のコードを処理および生成できる強力なマルチモーダルモデルです。
  • D. Veoは、高品質で自然な音声を生成するように最適化されています。
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #2

研修・開発チームは、会社のブランディングと主要メッセージにマッチしたカスタムアバターとナレーション付きの新入社員研修ビデオを迅速に制作したいと考えています。制作費は一切支給されていません。どうすればよいでしょうか?

  • A. Google Vids を使用してビデオを作成します。
  • B. Gemini アプリにビデオの作成を促します。
  • C. Imagen を使用してビデオ フレームを生成します。
  • D. Vertex AI を使用してモデルをトレーニングし、ビデオを生成します。
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #3

生成型AI(gen AI)の分野において、プラットフォーム層はどのような役割を果たすのでしょうか?

  • A. 生成AIモデルのトレーニングと実行に必要な計算リソースを提供する。
  • B. ユーザーがAIの機能を活用し、対話できるようにする。
  • C. 事前学習済みのgen AIモデルへのアクセスを可能にする。
  • D. ユーザーが汎用AIモデルと対話し、AIソリューションを構築・展開するためのツールを提供する。
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Question #4

ある企業は、生成AIソリューションの構築、導入、管理に必要なインフラストラクチャ、ツール、事前トレーニング済みモデルを提供する生成AIプラットフォームを求めています。この企業はどのGoogle Cloudサービスを使用すべきでしょうか?

  • A. ビッグクエリ
  • B. 頂点AI
  • C. Google Cloud Storage
  • D. Google Kubernetes Engine (GKE)
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #5

ある大企業が、Google Cloud のサービスを活用して、ジェネレーティブ AI(gen AI)ソリューションを構築しています。同社は、中間管理職が Google 推奨のプラクティスに従い、gen AI の導入を成功に導くよう支援したいと考えています。中間管理職はどのような対応をすべきでしょうか。

  • A. 最高財務責任者 (CFO) に潜在的な投資収益率を示すことで、AI イニシアチブのための資金とリソースを確保します。
  • B. ワークフロー内の特定の課題に対処する、影響が大きく実現可能なソリューションを特定することで、AI の導入を促進します。
  • C. ユーザーからのフィードバックと実際のパフォーマンス データに基づいて、継続的なテスト、測定、改良を実行します。
  • D. 強力なデータ戦略を作成し、チームが AI モデルのトレーニングと微調整に適した高品質で関連性の高いデータにアクセスできるようにします。
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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