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Generative-AI-Leader높은통과율덤프공부 - Generative-AI-Leader퍼펙트인증덤프

Generative-AI-Leader인증시험은Google사의 인중시험입니다.Google인증사의 시험을 패스한다면 it업계에서의 대우는 달라집니다. 때문에 점점 많은 분들이Google인증Generative-AI-Leader시험을 응시합니다.하지만 실질적으로Generative-AI-Leader시험을 패스하시는 분들은 너무 적습니다.전분적인 지식을 터득하면서 완벽한 준비하고 응시하기에는 너무 많은 시간이 필요합니다.하지만 우리Fast2test는 이러한 여러분의 시간을 절약해드립니다.

Google Generative-AI-Leader 시험요강:

주제
소개

주제 1

Implementing AV Solutions: This section of the exam measures the skills of an AV Integration Technician and focuses on turning AV system designs into reality. It assesses the ability to integrate systems by verifying components and managing supply installations, as well as handling documentation, training, and creating as-built schematics that support ongoing system operation.

주제 2

Supporting AV System Operation: This section of the exam measures the skills of an AV Support Specialist and focuses on providing assistance in operating audiovisual systems. It includes remote and onsite troubleshooting, training users, and delivering live event support, ensuring systems function effectively in real-world usage scenarios.

주제 3

Creating AV Solutions: This section of the exam measures the skills of an AV Systems Designer and covers the processes involved in understanding client requirements and translating them into practical AV solutions. It includes tasks such as conducting customer needs analysis, performing site surveys to evaluate conditions like lighting and acoustics, developing AV project scopes, and designing system layouts and documentation.

주제 4

Servicing AV Solutions: This section of the exam measures skills of an AV Maintenance Technician and focuses on maintaining and repairing AV systems. Tasks include supervising operations, conducting routine maintenance such as firmware updates and component replacements, and resolving issues through troubleshooting and repair processes, ensuring long-term system performance.

>> Generative-AI-Leader높은 통과율 덤프공부 <<

Generative-AI-Leader높은 통과율 덤프공부 인증시험 기출자료

Google인증 Generative-AI-Leader시험을 등록하였는데 시험준비를 어떻게 해애 될지 몰라 고민중이시라면 이 글을 보고Fast2test를 찾아주세요. Fast2test의Google인증 Generative-AI-Leader덤프샘플을 체험해보시면 시험에 대한 두려움이 사라질것입니다. Fast2test의Google인증 Generative-AI-Leader덤프는Google인증 Generative-AI-Leader실제시험문제를 마스터한 기초에서 제작한 최신시험에 대비한 공부자료로서 시험패스율이 100%입니다. 하루 빨리 덤프를 마련하여 시험을 준비하시면 자격증 취득이 빨라집니다.

최신 Google Cloud Certified Generative-AI-Leader 무료샘플문제 (Q15-Q20):

질문 # 15
A pharmaceutical company's research and development department spends significant time manually reviewing new scientific papers to identify potential drug targets. They need a solution that can answer questions about these documents and provide summarized insights to researchers without requiring extensive coding expertise. What should the organization do?

A. Use Vertex AI Agent Builder to create a custom AI agent.
B. Use Vertex AI AutoML to train a model that classifies papers into predefined research areas.
C. Use Vertex AI Search to index the papers and enable keyword-based searches.
D. Use Gemini for Google Workspace to facilitate collaborative document review.

정답：A

설명：
The requirement is to answer questions about the documents and provide summarized insights without requiring extensive coding expertise. Vertex AI Agent Builder is designed precisely for creating custom AI agents, often with low-code or no-code capabilities, that can interact with and process large volumes of information like scientific papers. While Vertex AI Search could index papers for keyword searches, it doesn't directly answer questions or provide summarized insights in the same way a generative AI agent built with Agent Builder could. Gemini for Google Workspace is for collaborative work, not specifically for building custom AI agents for document analysis. Vertex AI AutoML is for training classification models, which is different from answering questions and summarizing.
________________________________________

질문 # 16
A large e-commerce company with a vast and frequently updated product catalog finds that customers struggle to find products on their website, and support agents spend too much time finding detailed product information. The company wants to improve search accuracy and efficiency for both customers and support.
What Google Cloud solution should they use?

A. Vertex AI Model Garden
B. Vertex AI Natural Language API
C. Pre-built RAG with Vertex AI Search
D. Vertex AI Conversation

정답：C

설명：
This scenario strongly points to the need for accurate and up-to-date information retrieval from a product catalog. Pre-built RAG (Retrieval-Augmented Generation) combined with Vertex AI Search is the ideal solution. Vertex AI Search can index the product catalog, and RAG can then use thisindexed data to ground the responses of a generative AI model, ensuring that both customer searches and support agent queries retrieve precise and relevant product information.
________________________________________

질문 # 17
A company wants a generative AI platform that provides the infrastructure, tools, and pre-trained models needed to build, deploy, and manage its generative AI solutions. Which Google Cloud offering should the company use?

A. BigQuery
B. Vertex AI
C. Google Cloud Storage
D. Google Kubernetes Engine (GKE)

정답：B

설명：
Vertex AI is Google Cloud's unified machine learning platform that provides end-to-end support for the ML lifecycle, including access to pre-trained models (foundation models), tools for fine-tuning, deployment, and management of generative AI solutions. BigQuery is a data warehouse, GKE is for container orchestration, and Cloud Storage is for object storage; while they might be components used with Vertex AI, they are not the comprehensive generative AI platform themselves.
________________________________________

질문 # 18
A marketing team wants to use a foundation model to create social media and advertising campaigns. They want to create written articles and images from text. They lack deep AI expertiseand need a versatile solution.
Which Google foundation model should they use?

A. Imagen
B. Veo
C. Gemini
D. Gemma

정답：C

설명：
Gemini is Google's most advanced and multimodal foundation model, capable of understanding and generating various forms of content, including text and images, from a single prompt. Its versatility makes it suitable for marketing teams that need to create diverse campaign materials without deep AI expertise.
Imagen is specifically for image generation, Gemma is a family of smaller, open models, and Veo is for video generation.
________________________________________

질문 # 19
An organization wants to use generative AI to create a marketing campaign. They need to ensure that the AI model generates text that is appropriate for the target audience. What should the organization do?

A. Use prompt chaining.
B. Use few-shot prompting.
C. Use role prompting.
D. Adjust the temperature parameter.

정답：C

설명：
Role prompting is a technique where you instruct the generative AI model to "act as" a specific persona or character. By assigning the model a role (e.g., "Act as a marketing expert writing for a young, tech-savvy audience"), you can guide its tone, style, and content to be appropriate for the target audience of the marketing campaign.
________________________________________

질문 # 20
......

Google인증 Generative-AI-Leader시험을 통과하여 자격증을 취득하여 IT 업계에서의 자신의 자리를 지키려면 많은 노력이 필요합니다. 회사일도 바쁜데 시험공부까지 스트레스가 장난아니게 싸이고 몸도 많이 상하겠죠. Fast2test는 여러분을 위해 최신Google인증 Generative-AI-Leader시험에 대비한Google인증 Generative-AI-Leader덤프를 발췌하였습니다. Google인증 Generative-AI-Leader덤프는Google인증 Generative-AI-Leader시험의 기출문제와 예상문제가 묶어져 있어 시험적중율이 굉장히 높습니다. 쉽게 시험을 통과하려면Fast2test의 Google인증 Generative-AI-Leader덤프를 추천합니다.

Generative-AI-Leader퍼펙트 인증덤프: https://kr.fast2test.com/Generative-AI-Leader-premium-file.html