A. 模型训练代码

B. 部分依赖图（PDPs）

C. 训练用的样本数据

D. 模型收敛表

A company makes forecasts each quarter to decide how to optimize operations to meet expected demand. The company uses ML models to make these forecasts. An AI practitioner is writing a report about the trained ML models to provide transparency and explainability to company stakeholders. What should the AI practitioner include in the report to meet the transparency and explainability requirements? 

A. Code for model training 

B. Partial dependence plots (PDPs) 

C. Sample data for training 

D. Model convergence tables

A. 构建一个自动命名实体识别系统。

B. 创建一个推荐引擎。

C. 开发一个摘要生成聊天机器人。

D. 开发一个多语言翻译系统。

A law firm wants to build an AI application by using large language models (LLMs). The application will read legal documents and extract key points from the documents.

Which solution meets these requirements?

A. Build an automatic named entity recognition system.

B. Create a recommendation engine.

C. Develop a summarization chatbot. 

D. Develop a multi-language translation system.

A. 决策树 

B. 线性回归

C. 逻辑回归 

D. 神经网络

A company wants to classify human genes into 20 categories based on gene characteristics. The company needs an ML algorithm to document how the inner mechanism of the model affects the output.

Which ML algorithm meets these requirements?

A. Decision trees

B. Linear regression

C. Logistic regression

D. Neural networks

A. 决定系数（R² 得分） 

B. 准确率 

C. 均方根误差（RMSE） 

D. 学习率

A company has built an image classification model to predict plant diseasses from photos of plant leaves. The company wants to evaluate how many images the model classified correctly.

Which evaluation metric should the company use to measure themodel's performance?

A. R-squared score

B. Accuracy

C. Root mean squared error (RMSE)

D. Learning rate

A. 调整提示词。 

B. 选择不同规模的大语言模型。 

C. 提高温度值。

D. 增大 Top - K 值。

A company is using a pre-trained large language model (LLM) to build a chatbot for product recommendations. The company needs the LLM outputs to be short and written in a specific language.

Which solution will align the LLM response quality with the company's expectations?

A. Adjust the prompt. 

B. Choose an LLM of a different size.

C. Increase the temperature.

D. Increase the Top K value.

哪种 SageMaker 推理选项能满足这些要求？

A. 实时推理 

B. 无服务器推理 

C. 异步推理 

D. 批量转换

A company uses Amazon SageMaker for its ML pipeline in a producticon environment. The company has large input data sizes up to 1 GB and processing times up to 1 hour. The company needs near real-time lateency.

Which SageMaker inference option meets these requirements?

哪种机器学习策略能满足这些要求呢？ 

A. 增加训练轮数

B. 使用迁移学习。 

C. 减少训练轮数

D. 使用无监督学习。

A company is using domain-specific models. The company wants toavoid creating new models from the beginning. The company instead wants to adapt pre-trained models to create models for new, related tasks.

Which ML strategy meets these requirements?

A. Increase the number of epochs.

B. Use transfer learning.

C. Decrease the number of epochs.

D. Use unsupervised learning.

哪种解决方案能够满足这些要求呢？

A. 使用亚马逊 SageMaker Ground Truth Plus 进行人工在环验证 

B. 使用亚马逊 Bedrock 知识库进行数据增强 

C. 使用亚马逊 Rekognition 进行图像识别 

D. 使用亚马逊 QuickSight Q 进行数据汇总

A company is building a solution to generate images for protective eyewear. The solution must have high accuracy and must minimize the risk of incorrect annotations.

Which solution will meet these requirements?

A. Human-in-the-loop validation by using Amazon SageMaker Ground Truth Plus

B. Data augmentation by using an Amazon Bedrock knowledge base

C. Image recognition by using Amazon Rekognition

D. Data summarization by using Amazon QuickSight Q

基础模型在尝试访问 S3 存储桶数据时遇到了失败。

哪种解决方案能够满足这些要求呢？ 

A. 确保亚马逊基岩所承担的角色具备使用正确加密密钥解密数据的权限。 

B. 将 S3 存储桶的访问权限设置为允许公共访问，以便通过互联网进行访问。 

C. 使用提示工程技术告知模型在亚马逊 S3 中查找信息。 

D. 确保 S3 数据不包含敏感信息。

A company wants to create a chatbot by using a foundation model (FM) on Annazon Bedrock. The FM needs to access encrypted data that is stored in an Amazon S3 bucket. The data is encrypted with Amazon S3 managed keys (SSE-S3).

The FM encounters a failure when attempting to access the S3 bucket data

Which solution will meet these requirements?

A. Ensure that the role that Amazon Bedrock assumes has permissionn to decrypt data with the correct encryption key.

B. Set the access permissions for the S3 buckets to allow public access to enable access over the internet.

C. Use prompt engineering techniques to tell the model to look foor information in Amazon S3

D. Ensure that the S3 data does not contain sensitive informaation

哪种解决方案能满足这些要求呢？ 

A. 在边缘设备上部署经过优化的小型语言模型（SLM）。 

B. 在边缘设备上部署经过优化的大型语言模型（LLM）。

C. 引入一个集中式小型语言模型（SLM）的应用程序编程接口（API），用于与边缘设备进行异步通信。 

D. 引入一个集中式大型语言模型（LLM）的应用程序编程接口（API），用于与边缘设备进行异步通信。

A company wants to use language models to create an application for inference on edge devices. The inference must have the lowest latency possible.

Which solution will meet these requirements?

A. Deploy optimized small language models (SLMs) on edge devices.

B. Deploy optimized large language models (LLMs) on edge devices.

C. Incorporate a centralized small language model (SLM) API for asynchroonous communication with edge devices

D. Incorporate a centralized large language model (LLM) API for asynchronous communication with edge devices.

以下哪个 SageMaker 功能可以满足这些需求？ 

A. 亚马逊 SageMaker 特征存储库 

B. 亚马逊 SageMaker 数据整理工具 

C. 亚马逊 SageMaker 澄清工具 

D. 亚马逊 SageMaker 模型卡片

A company wants to build an ML model by using Amazon SageMakerThe company needs to share and manage variables for model deveelopment across multiple teams.

Which SageMaker feature meets these requirements?

A. Amazon SageMaker Feature Store

B. Amazon SageMaker Data Wrangler

C. Amazon SageMaker Clarify

D. Amazon SageMaker Model Cards

Amazon Q Developer 能做些什么来帮助该公司实现这些需求呢？ 

A. 创建代码片段、进行引用追踪以及开源许可证追踪 

B. 在无需配置或管理服务器的情况下运行应用程序 

C. 支持通过语音指令进行编码并提供自然语言搜索功能 

D. 利用机器学习模型将音频文件转换为文本文档

A company wants to use generative Al to increase developer productivity ansoftware development. The company wants to use Amazon Q Developer.

What can Amazon Q Developer do to help the company meet these requirements?

A. Create software snippets, reference tracking, and open source license tracking

B. Run an application without provisioning or managing servers.

C. Enable voice commands for coding and providing natural languagesearch

D. Convert audio files to text documents by using ML models.

以下哪个 AWS 服务或功能可以满足这些要求？ 

A. AWS PrivateLink 

B. Amazon Macie 

C. Amazon CloudFront 

D. 互联网网关

A financial institution is using Amazon Bedrock to develop an Al application. The application is hosted in a VPC. To meet regulatory compliance standards, the VPC is not allowed access to any internet traffic.

Which AWS service or feature will meet these requirements?

A. AWS PrivateLink

B. Amazon Macie

C. Amazon CloudFront

D. Internet gateway

哪种解决方案能以最少的运营开销满足这些需求？ 

A. 使用监督学习来创建一个用于预测概率的回归模型。 

B. 使用强化学习来训练一个模型以返回概率。 

C. 使用能够通过简单规则和计算来计算概率的代码。 

D. 使用无监督学习来创建一个用于估计概率密度的模型。

A company wants to develop an educational game where users anstwer questions such as the following: "A jar contains six red, four green, and three yellow marbles. What is the probability of choosing a green marble from the jar?"

Which solution meets these requirements with the LEAST operational overhead?

A. Use supervised learning to create a regression model that will predict probability.

B. Use reinforcement learning to train a model to return the probability.

C. Use code that will calculate probability by using simple rules and computations.

D. Use unsupervised learning to create a model that will estimate probability density

A. 客户满意度得分（CSAT） 

B. 每个训练轮次（epoch）的训练时间 

C. 平均响应时间 

D. 训练实例的数量

Which metric measures the runtime efficiency of operating Al models?

A. Customer satisfaction score (CSAT)

B. Training time for each epoch

C. Average response time

D. Number of training instances

哪种解决方案能满足这些需求呢？ 

A. 使用亚马逊 Lex 构建一个对话式聊天机器人。 

B. 使用亚马逊 Transcribe 转录通话录音。 

C. 使用亚马逊 SageMaker 模型监控器从通话录音中提取信息。 

D. 使用亚马逊 Comprehend 创建分类标签。

A company is building a contact center application and wants to gaininsights from customer conversations. The company wants to analyze and extract key information from the audio of the customer calls.

Which solution meets these requirements?

A. Build a conversational chatbot by using Amazon Lex.

B. Transcribe call recordings by using Amazon Transcribe.

C. Extract information from call recordings by using Amazon SageMaker Model Monitor

D. Create classification labels by using Amazon Comprehend.

为满足这些需求，该公司应采用哪种方法？ 

A. 监督学习 

B. 无监督学习 

C. 强化学习 

D. 基于人类反馈的强化学习（RLHF）

A company has petabytes of unlabeled customer data to use for an advertisement campaign. The company wants to classify its customers into tiers to advertise and promote the company's products.

Which methodology should the company use to meet these requirements?

A. Supervised learning

B. Unsupervised learning

C. Reinforcement learning

D. Reinforcement learning from human feedback (RLHF)

这位人工智能从业者应该使用哪种类型的基础模型来驱动这个搜索应用程序呢？ 

A. 多模态嵌入模型 

B. 文本嵌入模型 

C. 多模态生成模型 

D. 图像生成模型

An Al practitioner wants to use a foundation model (FM) to design a search application. The search application must handle queries that have text and images.

Which type of FM should the Al practitioner use to power the search aapplication

A. Multi-modal embedding model

B. Text embedding model

C. Multi-modal generation model

D. Image generation model

哪种策略能够成功地对模型进行微调呢？ 

A. 提供带有提示字段和完成字段的标注数据。 

B. 通过创建一个包含多行 CSV 格式内容的文本文件来准备训练数据集。 

C. 为亚马逊基岩购买预配置吞吐量。 

D. 在期刊和教科书上对模型进行训练。

A company uses a foundation model (FM) from Amazon Bedrock for an Al search tool. The company wants to fine-tune the model to bemore accurate by using the company's data.

Which strategy will successfully fine-tune the model?

A. Provide labeled data with the prompt field and the completion fieldL

B. Prepare the training dataset by creating a txt file that containsmultiple lines in .csv format.

C. Purchase Provisioned Throughput for Amazon Bedrock.

D. Train the model on journals and textbooks.

哪种解决方案能满足这些要求呢？ 

A. 构建一个语音识别系统。 

B. 创建一个自然语言处理（NLP）命名实体识别系统。

C. 开发一个异常检测系统。 

D. 创建一个欺诈预测系统。

A company wants to use Al to protect its application from threats. The Al solution needs to check if an IP address is from a suspicious source.

Which solution meets these requirements?

A. Build a speech recognition system.

B. Create a natural language processing (NLP) named entity recognition system.

C. Develop an anomaly detection system.

D. Create a fraud forecasting system.