Page 16 of 22 · 422 total questions.
A company wants to develop an interpretable ML model to assess the risk of loan applications. Which type of ML model or algorithm will meet these requirements?
The correct answer is B. Option B: Logistic regression model.
A company stores customer personally identifiable information (PII) data. The company must store the PII data within the company's AWS Region. Which aspect of governance does this describe?
The correct answer is B. Option B: Data residency.
A company wants to implement a generative AI solution to improve its marketing operations. The company wants to increase its revenue in the next 6 months. Which approach will meet these requirements?
The correct answer is B. Option B: Conduct stakeholder interviews to refine use cases and set measurable goals.
A healthcare company wants to create a model to improve disease diagnostics by analyzing patient voices. The company has recorded hundreds of patient voices for this project. The company is currently filtering voice recordings according to duration and language. Which phase of the ML lifecycle describes the current project phase?
The correct answer is B. Option B: Data preprocessing.
A company is using Amazon Bedrock to build an AI assistant. The AI assistant helps customers find relevant products by making suggestions. However, the AI assistant's responses are often generic and irrelevant. The company wants to use prompt engineering to improve the AI assistant's responses. Which solution will meet these requirements?
The correct answer is A. Option A: Use few-shot prompting to add domain-specific context and explicit instructions.
A company runs a website for users to make travel reservations. The company wants an AI solution to help create consistent branding for hotels on the website. The AI solution needs to generate hotel descriptions for the website in a consistent writing style. Which AWS service will meet these requirements?
The correct answer is D. Option D: Amazon Bedrock
Explanation
Amazon Bedrock provides access to foundation models through a managed API.
A company is using a pre-trained large language model (LLM). The LLM must perform multiple tasks that require specific domain knowledge. The LLM does not have information about several technical topics in the domain. The company has unlabeled data that the company can use to fine-tune the model. Which fine-tuning method will meet these requirements?
The correct answer is C. Option C: Continued pre-training.
A company wants to classify images of different objects based on custom features extracted from a dataset. Which solution will meet this requirement with the LEAST development effort?
The correct answer is B. Option B: Use a pre-trained deep learning model. Fine-tune the model on the dataset. This option needs the least custom development effort.
A company wants to customize Amazon Bedrock foundation models (FMs) to improve an application's performance. The company must prepare a training dataset for text-to-text model fine-tuning. Which dataset format should the company use to train the models?
The correct answer is A. Option A: A JSON file with labeled data.
An airline company wants to use a generative AI model to convert a flight booking system from one coding language into another coding language. The company must select a model for this task. Which criteria should the company use to select the correct generative AI model for this task?
The correct answer is A. Option A: Syntax, semantic understanding, and code optimization capabilities.
An AI practitioner is using Amazon Bedrock Prompt Management to create a reusable prompt. The prompt must be able to interact with external services by calling an external API. Which solution will meet this requirement?
The correct answer is B. Option B: Use a tools configuration.
Explanation
AWS Config tracks resource configuration changes and evaluates compliance.
A company wants to use Amazon Q Business for its data. The company needs to ensure the security and privacy of the data. Which combination of steps will meet these requirements? (Choose two.)
The correct answer is A, E. Option A: Enable AWS Key Management Service (AWS KMS) keys for the Amazon Q Business Enterprise index. Option E: Configure AWS Identity and Access Management (IAM) for authentication.
Explanation
AWS IAM controls authenticated and authorized access to AWS resources with fine-grained policies. AWS KMS manages encryption keys and integrates with most AWS services for encryption at rest. AWS Config tracks resource configuration changes and evaluates compliance.
A company uses Amazon Comprehend to analyze customer feedback. A customer has several unique trained models. The company uses Comprehend to assign each model an endpoint. The company wants to automate a report on each endpoint that is not used for more than 15 days. Which service will meet these requirements?
The correct answer is B. Option B: Amazon CloudWatch
Explanation
Amazon CloudWatch collects metrics, logs and alarms to monitor and react to operational health.
A company plans to use a generative AI model to provide real-time service quotes to users. Which criteria should the company use to select the correct model for this use case?
The correct answer is D. Option D: Model latency and optimized inference speed This option meets the real-time / low-latency performance requirement.
An AI practitioner must fine-tune an open source large language model (LLM) for text categorization. The dataset is already prepared. Which solution will meet these requirements with the LEAST operational effort?
The correct answer is B. Option B: Use Amazon SageMaker JumpStart to create a training job.
Explanation
Amazon SageMaker builds, trains and deploys machine learning models in a fully managed service.
What is the primary purpose of system prompts in generative AI applications?
The correct answer is C. Option C: To define the role and behavioral boundaries of AI.
A company is using a large language model (LLM) to create a generative AI assistant. The company must choose an AI technique to ensure that the AI assistant generates the most factually correct responses. The company selects the Retrieval Augmented Generation (RAG) technique. Which limitation of LLMs is the company trying to reduce?
The correct answer is A. Option A: Hallucinations.
A company is building a job recommendation system based on job posting data and job seeker user profiles. The system shows bias in job recommendations based on gender for user profiles that are otherwise equivalent. Which principle should the company follow to address this issue, according to AWS best practices for responsible AI?
The correct answer is D. Option D: Fairness.
A company wants its AI models to be transparent and explainable. Which combination of Amazon SageMaker AI features will meet these requirements? (Choose two.)
The correct answer is A, C. Option A: SageMaker Model Cards Option C: SageMaker Clarity
Explanation
Amazon RDS is a managed relational database that handles patching, backups and failover. Amazon SageMaker builds, trains and deploys machine learning models in a fully managed service.
A company is developing a product recommendation application by using a generative AI model. The company must minimize the application’s environmental impact. Which solution will meet these requirements?
The correct answer is A. Option A: Optimize the deployed model architecture to prioritize computational efficiency during model inference.
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