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Q40. A company wants to build a model to classify customer reviews as positive, negative, or neutral. They have collected a dataset of thousands of customer reviews, and each review has been manually tagged with the corresponding sentiment: positive, negative, or neutral. What machine learning should the company use?

Deep learning

Unsupervised learning

Reinforcement learning

Supervised learning

Q41. 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?

Vertex AI Conversation

Vertex AI Natural Language API

Pre-built RAG with Vertex AI Search

Vertex AI Model Garden

Q42. A development team is building an internal knowledge base chatbot to answer employee questions about company policies and procedures. This information is stored across various documents in Google Cloud Storage and is updated regularly by different departments. What is the primary benefit of using Google Cloud’s RAG APIs in this scenario?

They provide a pre-built user interface for the chatbot, simplifying the front-end development process.

They allow the development team to train a single foundation model on all company documents.

They enable the generative AI model to retrieve the most up-to-date and relevant information from the policy documents in real-time.

They automatically create summaries of all company policies, which are then presented to employees as quick answers.

Q43. A large multinational corporation with geographically dispersed teams struggles with knowledge silos and inconsistent access to crucial internal information. What is a key business benefit of using Google Agentspace in this scenario?

Improved IT infrastructure management across offices.

Seamless knowledge sharing and collaboration across internal systems.

Enhanced data encryption and compliance for internal communications.

Automation of employee performance reviews using AI.

Q44. A global news company is using a large language model to automatically generate summaries of news articles for their website. The model’s summary of an international summit was accurate until it hallucinated by stating a detail that did not occur. How should the company overcome this hallucination?

Implement stricter safety settings to filter out potentially controversial topics.

Fine-tune the model on a larger dataset of news articles.

Increase the temperature setting of the model to encourage more diverse outputs.

Use grounding to base the model output on the source articles.

Q45. What is an example of unsupervised machine learning?

Analyzing customer purchase patterns to identify natural groupings.

Training a system to recognize product images using labeled categories.

Predicting subscription renewal based on past renewal status data.

Forecasting sales figures using historical sales and marketing spend.

Q46. A global news agency is developing a generative AI tool to quickly summarize breaking newsarticles as they emerge online. The goal is to provide their audience with rapid updates on fast-developing stories from various global sources. What Google Cloud solution should they use?

Document AI

BigQuery

Vertex AI Natural Language API

Grounding with Google Search

Q47. A home loan company is deploying a generative AI system to automate initial loan application reviews. Several applicants have been unexpectedly rejected, leading to customer complaints and potential bias concerns. They need to ensure responsible and fair lending practices. What aspect of the AI system should they prioritize?

Implementing stricter data security measures to protect applicants’ financial information from unauthorized access.

Ensuring AI decision-making is explainable to understand decision reasons and establish accountability.

Increasing the speed at which the AI system processes loan applications to handle the high volume.

Regularly updating the AI model with more financial data to improve its accuracy over time.

Q48. An organization wants granular control over who can use and see their generative AI models and related resources on Google Cloud. Which Google Cloud security offering is specifically for this purpose?

Identity and Access Management

Secure-by-design infrastructure

Security Command Center

Workload monitoring tools

Q49. What does Vertex AI Search enable companies to do?

To index and retrieve information from the entire public web, providing a comprehensive view of publicly available data.

To surface the most popular and frequently accessed content based on global user search patterns and trends.

To compare products from numerous online retailers, allowing users to find the best deals and product options across the internet.

To ground LLM responses with first-party data, third-party data, and Google’s knowledge graph.

Q50. A customer service team wants to use generative AI to improve the quality and consistency of their email responses to customer inquiries. They need a solution that can guide the AI to adopt a helpful, empathetic tone while adhering to company policies. Which prompting technique should they use?

Prompt chaining that engages the AI in a conversation to gather the necessary information before generating the email response.

Role prompting that instructs the AI to act as an experienced customer service representative with corporate knowledge.

One-shot prompting that provides a single example of a good customer service email.

Few-shot prompting that provides examples of good and bad customer service emails.

Q51. A company’s large learning model (LLM) is producing hallucinations that are a result of the Knowledge cutoff. How does retrieval-augmented generation (RAG) overcome this limitation?

RAG fine-tunes the LLM on specific customer query patterns to improve the speed and efficiency of response generation.

RAG enhances the creative writing capabilities of the LLM to generate more engaging and informative responses.

RAG enables the LLM to retrieve relevant and up-to-date information from knowledge sources.

RAG uses human oversight to ensure accuracy before presenting information to the customer.

Q52. A data science team needs a centralized and organized location to store its various model versions, track their metadata, and easily deploy them to the respective applications. What Google Cloud service should they use?

云存储

Model Registry

BigQuery

Vertex AI Pipelines

Q53. An order fulfillment team has an agent that automatically processes orders, updates inventory, sends shipping notifications, and handles returns. What type of agent is this?

A workflow agent

An employee productivity agent

A customer service agent

A conversational agent

Q54. A development team is configuring a generative AI model for a customer-facing application and wants to ensure the generated content is appropriate and harmless. What is the primary function of the safety settings parameter in a generative AI model?

To limit the maximum text length that the model generates by ensuring concise responses.

To determine the number of tokens the model can process at once by influencing the complexity and length of inputs and outputs.

To filter out potentially harmful or inappropriate content from the model’s output based on the desired level of filtering.

To control the creativity and randomness of the model’s output by adjusting the diversity of word choices.

Q55. A company wants to create an AI-powered educational solution that provides personalized learning experiences for students. This platform will assess a student’s knowledge, recommend relevant learning materials, and generate personalized exercises. The application would provide the structure for lessons and track progress. What type of AI solution should they use?

An AI-powered recommendation system for learning resources

A large language model fine-tuned on educational content

A learning management system (LMS)

A customized learning agent

Q56. A company wants to use an AI agent to automate some tasks. They want everyone to understand the different functions of an AI agent. What is the function of an AI agent in the context of gen AI?

To provide the computational resources needed to train and run gen AI models.

To store and manage large datasets used for training and running gen AI models.

To provide a user-friendly interface for interacting with gen AI models.

To analyze situations, use multiple tools, and make informed decisions without requiring constant human input.

Q57. What does a diffusion model do?

Analyzes data and predicts future trends and patterns.

Optimizes business processes and resource allocation.

Facilitates the storage and management of structured data.

Generates high-quality content by refining noise into structured data.

Q58. What will Google Cloud’s Agent Assist help a company achieve?

The infrastructure to provide an enterprise-grade contact center solution with omnichannel support, routing, and integration with CRM systems.

The ability to analyze conversational data to identify customer sentiment, common topics of discussion, and insights into agent performance and customer experience.

The ability to provide real-time assistance and recommended responses to live customer service agents during their interactions.

The ability to build and deploy deterministic and generative chatbot agents for automated customer support.

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主题	详细信息
主题 1	Create Video Campaigns for Awareness: This section measures the skills of Video Campaign Managers in designing effective video campaigns aimed at increasing brand awareness. It focuses on strategies for creating impactful campaigns that capture audience attention.
主题 2	Get to Know Consideration Video Ad Formats: This section tests the knowledge of Ad Format Specialists in understanding video ad formats designed for consideration campaigns. It explains how specific formats can drive interest and interaction with products or services.
主题 3	Get to Know Action Video Ad Formats: This domain evaluates the expertise of Ad Format Specialists in understanding video ad formats optimized for action-oriented campaigns. It explains how these formats support driving conversions effectively.
主题 4	Evaluate Performance with Consideration Measurement Solutions: This domain tests the expertise of Performance Analysts in analyzing consideration campaign results using measurement tools. It focuses on tracking metrics that reflect audience interest and campaign effectiveness.
议题 5	Prioritize Marketing Objectives on YouTube: This domain tests the knowledge of Campaign Strategists in aligning marketing objectives with YouTube’s capabilities. It emphasizes how to prioritize goals such as awareness, consideration, and action when planning campaigns on the platform.
主题 6	Evaluate Performance with Action Measurement Solutions\|This domain assesses the abilities of Performance Analysts in measuring and optimizing action-driven campaign outcomes using advanced tools. It emphasizes tracking conversion metrics and refining strategies based on data insights.
主题 7	How YouTube Keeps Brands Safe and Ensures Suitability: This section evaluates the expertise of Brand Safety Specialists in ensuring that advertisements on YouTube align with brand values and safety standards. It covers YouTube’s mechanisms for maintaining brand suitability and protecting advertisers from inappropriate content.
主题 8	Create Video Campaigns for Action: This section measures the abilities of Action Campaign Managers in creating video campaigns that drive direct actions, such as purchases or sign-ups. It emphasizes strategies for motivating audiences to take immediate steps toward conversion goals.
主题 9	Create Video Campaigns for Consideration: This section evaluates the expertise of Video Campaign Managers in designing campaigns that encourage audience consideration of products or services. It focuses on creating compelling content that drives interest and engagement.
主题 10	Increase Awareness with Video Bidding Solutions: This section measures the abilities of Bidding Specialists in utilizing video bidding solutions to enhance awareness campaigns. It emphasizes strategies for achieving cost-effective results while maximizing audience reach.
主题 11	Explore Audience Solutions for Awareness Goals: This part assesses the abilities of Audience Analysts in leveraging YouTube’s audience solutions to achieve awareness goals. It covers tools and techniques for targeting relevant audiences to maximize campaign reach.
主题 12	Optimize Video Action Campaigns: This part evaluates the expertise of Optimization Specialists in improving action-oriented video campaigns over time. It covers techniques for enhancing campaign efficiency and achieving better results through iterative adjustments.

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只要结合不同的学习方案，通过 Google Professional Cloud DevOps Engineer 评估并非不可能。虽然供应商为想要毫无压力地获得及格分数的考生提供了不同的备考资源，但你不应该止步于此。您还可以探索亚马逊上提供的指南，提高自己成为认证云 DevOps 工程师的技能。

认证测试准备资源

如果结合不同的备考资源（如供应商提供的资源和亚马逊上的书籍），第一次尝试就能通过谷歌考试。如果您正在寻找最有效的复习资料，这里就是我们的选择：

谷歌云专业云 DevOps 工程师考试 - 一本搞定：高效获得 Google Cloud 认证！(谷歌云认证系列第 7 册）
本书在亚马逊上有 Kindle 格式的版本，并已出版 约瑟夫-霍尔布鲁克.此外，考生还可以购买差不多 $12 的价格。本指南关注认证考试中测试的所有主题，帮助申请人提高管理 Google 云 DevOps 工程师功能的技能。此外，它还包括 100 多个问题和每个问题的详细答案，可帮助考生充分准备指定考试。这样，应试者就能熟悉考试的结构和难度。此外，凡购买本指南者，均可免费获得额外的学习资源，以巩固其对谷歌云应用程序和功能的了解。
谷歌云 DevOps 工程师学习路径
供应商为希望通过专业云 DevOps 工程师考试的考生制定了全面的学习路径。它包括几门课程，将带领申请人完成所有必要的步骤，以验证必要的能力，从而在第一次考试中就能获得及格分数。本学习工具包尤其包括以下培训课程：
- 谷歌云基础知识：核心基础架构课程的重点是帮助考生学习谷歌云包（Google Cloud Pack）中包含的存储和计算服务。因此，考生将学习如何使用 BigQuery、App Engine、Cloud SQL 和 Storage 以及 Google Kubernetes Engine 功能。
- 专门针对 Google SRE 文化发展的培训可帮助学员获得提供生产支持的高级技能，并最大限度地缩小运营与开发之间的差距。在本课程中，申请人将了解网站可靠性工程的秘密，以及如何从创建 Google SRE 文化中获益。
- 谷歌云架构设计：设计与流程》课程帮助应试者学习如何以经济高效、性能卓越的方式部署 Google Cloud 功能。
- 本学习路径中包含的最后一个培训课程专门介绍 Google Cloud 中的监控、日志记录和可观察性。它将教会学员如何排除故障并提高 Google 云基础架构的性能。
一旦通过上述课程，候选人将获得多个技能徽章，以巩固他们在 DevOps 工程方面的技能。这些徽章如下：
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- 第二个徽章与在谷歌云中实施 DevOps 功能有关。特别是，它将帮助候选人在谷歌云的帮助下提高软件交付能力，实现更高的速度、可用性和稳定性。
- 最后一个徽章将帮助申请人了解如何使用 Google Cloud Operations Suite 进行监控和记录。因此，申请者将学习如何使用谷歌云的内部和外部功能来生成更健康、更完善的应用程序。
毫无疑问，通过谷歌提供的这一学习过程，候选人一次性获得认证的机会将大大增加。

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