Page 15 of 22 · 422 total questions.
Which AWS service or feature stores embeddings in a vector database for use with foundation models (FMs) and Retrieval Augmented Generation (RAG)?
The correct answer is B. Option B: Amazon OpenSearch Service
Explanation
Amazon OpenSearch Service provides managed search and log analytics.
Which scenario represents a practical use case for generative AI?
The correct answer is B. Option B: Employing a chatbot to provide human-like responses to customer queries in real time.
A company is using Amazon Bedrock for a generative AI solution. The solution must integrate a service with vector database storage and vector search capabilities. Which AWS service will meet these requirements?
The correct answer is B. Option B: Amazon OpenSearch Service
Explanation
Amazon OpenSearch Service provides managed search and log analytics.
A media streaming platform wants to provide movie recommendations to users based on the users’ account history. Which AWS service meets these requirements?
The correct answer is D. Option D: Amazon Personalize
Explanation
Amazon Personalize builds real-time recommendation systems. This option meets the real-time / low-latency performance requirement.
A company has developed an ML model to approve or reject loan applications. The model’s decision-making process must be transparent and explainable to comply with regulatory requirements. The company must document the decision-making process for audit purposes. Which solution will meet these requirements?
The correct answer is B. Option B: Amazon SageMaker Model Card
Explanation
Amazon SageMaker builds, trains and deploys machine learning models in a fully managed service.
A company is using large language models (LLMs) to develop online tutoring applications. The company needs to apply configurable safeguards to the LLMs. These safeguards must ensure that the LLMs follow standard safety rules when creating applications. Which solution will meet these requirements with the LEAST effort?
The correct answer is C. Option C: Amazon Bedrock Guardrails
Explanation
Amazon Bedrock provides access to foundation models through a managed API.
A company is exploring Amazon Nova models in Amazon Bedrock. The company needs a multimodal model that supports multiple languages. Which Nova model will meet these requirements MOST cost-effectively?
The correct answer is A. Option A: Nova Lite This option delivers the requirement at the lowest cost.
A company is building a new generative AI chatbot. The chatbot uses an Amazon Bedrock foundation model (FM) to generate responses. During testing, the company notices that the chatbot is prone to prompt injection attacks. What can the company do to secure the chatbot with the LEAST implementation effort?
The correct answer is B. Option B: Use Amazon Bedrock Guardrails content filters and denied topics.
Explanation
Amazon Bedrock provides access to foundation models through a managed API.
What does inference refer to in the context of AI?
The correct answer is B. Option B: The use of a trained model to make predictions or decisions on unseen data.
A company wants to build an AI assistant to provide responses to user queries. The AI assistant must evaluate specific data sources, query external APIs, generate response options, and compare and prioritize response options. Which Amazon Bedrock feature or resource will meet these requirements?
The correct answer is D. Option D: Agents.
An AI practitioner notices a large language model (LLM) is generating different responses for the same input across multiple invocations. Which risk of AI does this describe?
The correct answer is B. Option B: Nondeterminism.
A company is building a generative AI application on AWS. The application will help improve reading comprehension for students. The application must give students the ability to add illustrations to stories. Which solution will meet this requirement?
The correct answer is A. Option A: Use Amazon Bedrock Stable Diffusion 3.5 Large to generate images based on text inputs.
Explanation
Amazon Bedrock provides access to foundation models through a managed API.
A healthcare company wants to analyze patient data. The data was gathered over the previous year to detect patterns in disease outbreaks. The company needs to create a trend analysis report for each month to present to public health officials. The company must provide insights into patient data from the most recent month of the current year. Which inference method will meet these requirements MOST cost-effectively?
The correct answer is B. Option B: Batch transform
Explanation
AWS Batch schedules and runs batch computing jobs at any scale without managing clusters. This option delivers the requirement at the lowest cost.
A company acquires International Organization for Standardization (ISO) accreditation to manage AI risks and to use AI responsibly. What does this accreditation reflect about the company?
The correct answer is D. Option D: The company’s development framework is ISO certified.
A company is developing an ML model to predict heart disease risk. The model uses patient data, such as age, cholesterol, blood pressure, smoking status, and exercise habits. The dataset includes a target value that indicates whether a patient has heart disease. Which ML technique will meet these requirements?
The correct answer is B. Option B: Supervised learning.
A company has guidelines for data storage and deletion. Which data governance strategy does this describe?
The correct answer is C. Option C: Data retention.
A company needs to apply numerical transformations to a set of images to transpose and rotate the images. Which solution will meet these requirements in the MOST operationally efficient way?
The correct answer is B. Option B: Create an AWS Lambda function to perform the transformations.
Explanation
AWS Lambda runs code without provisioning servers and scales automatically, which minimizes operational overhead.
An AI practitioner is writing software code. The AI practitioner wants to quickly develop a test case and create documentation for the code. Which solution will meet these requirements with the LEAST effort?
The correct answer is C. Option C: Use Amazon Q Developer in an integrated development environment (IDE).
A company is developing a generative AI application to automatically generate product descriptions for an ecommerce website. The product descriptions must consist of paragraphs of text that are consistent in style and tone. The application must generate thousands of unique descriptions each day. Which type of generative model will meet these requirements?
The correct answer is B. Option B: A transformer-based model.
An AI practitioner has trained a model on a training dataset. The model performs well on the training data. However, the model does not perform well on evaluation data. What is the MOST likely cause of this issue?
The correct answer is D. Option D: The model is overfit.
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