Page 13 of 22 · 422 total questions.
A financial company wants to build workflows for human review of ML predictions. The company wants to define confidence thresholds for its use case and adjust the thresholds over time. Which AWS service meets these requirements?
The correct answer is B. Option B: Amazon Augmented AI (Amazon A2I).
A company wants to develop an AI assistant for employees to query internal data. Which AWS service will meet this requirement?
The correct answer is D. Option D: Amazon Q Business.
A company wants to build and deploy ML models on AWS without writing any code. Which AWS service or feature meets these requirements?
The correct answer is A. Option A: Amazon SageMaker Canvas
Explanation
Amazon SageMaker builds, trains and deploys machine learning models in a fully managed service. This option needs the least custom development effort.
A design company is using a foundation model (FM) on Amazon Bedrock to generate images for various projects. The company wants to have control over how detailed or abstract each generated image appears Which model parameter should the company modify?
The correct answer is C. Option C: Generation step.
A financial company has offices in different countries worldwide. The company requires that all API calls between generative AI applications and foundation models (FM) must not travel across the public internet. Which AWS service should the company use?
The correct answer is A. Option A: AWS PrivateLink
Explanation
AWS PrivateLink exposes services privately inside the VPC without internet exposure.
An ecommerce company is deploying a chatbot. The chatbot will give users the ability to ask questions about the company’s products and receive details on users’ orders. The company must implement safeguards for the chatbot to filter harmful content from the input prompts and chatbot responses. Which AWS feature or resource meets these requirements?
The correct answer is A. Option A: Amazon Bedrock Guardrails
Explanation
Amazon Bedrock provides access to foundation models through a managed API.
A company wants to learn about generative AI applications in an experimental environment. Which solution will meet this requirement MOST cost-effectively?
The correct answer is C. Option C: Amazon Bedrock PartyRock
Explanation
Amazon Bedrock provides access to foundation models through a managed API. This option delivers the requirement at the lowest cost.
A company needs to collect a large dataset to train an AI assistant in a specific content area. Which dataset will meet this requirement?
The correct answer is A. Option A: Diverse conversations that use relevant terminology.
A financial company is developing a generative AI application for loan approval decisions. The company needs the application output to be responsible and fair. Which solution meets these requirements?
The correct answer is A. Option A: Review the training data to check for biases. Include data from all demographics in the training data.
An AI practitioner who has minimal ML knowledge wants to predict employee attrition without writing code. Which Amazon SageMaker feature meets this requirement?
The correct answer is A. Option A: SageMaker Canvas
Explanation
Amazon SageMaker builds, trains and deploys machine learning models in a fully managed service. This option needs the least custom development effort.
A company is using AI to improve its services. The company needs to ensure that the AI system is fair and explainable. The company wants to require training for members of the AI system development team. Which training will meet these requirements?
The correct answer is C. Option C: Training on bias awareness and responsible AI.
A company has an ML model. The company wants to know how the model makes predictions. Which term refers to understanding model predictions?
The correct answer is A. Option A: Model interpretability.
A company wants to identify groups for its customers based on the customers’ demographics and buying patterns. Which algorithm should the company use to meet this requirement?
The correct answer is B. Option B: K-means.
A company is working on a large language model (LLM) and noticed that the LLM’s outputs are not as diverse as expected. Which parameter should the company adjust?
The correct answer is A. Option A: Temperature.
A company is using an Amazon Nova Canvas model to generate images. The model generates images successfully. The company needs to prevent the model from including specific items in the generated images. Which solution will meet this requirement?
The correct answer is C. Option C: Use a negative prompt.
A company wants to label training datasets by using human feedback to fine-tune a foundation model (FM). The company does not want to develop labeling applications or manage a labeling workforce. Which AWS service or feature meets these requirements?
The correct answer is B. Option B: Amazon SageMaker Ground Truth Plus
Explanation
Amazon SageMaker builds, trains and deploys machine learning models in a fully managed service.
An online media streaming company wants to give its customers the ability to perform natural language-based image search and filtering. The company needs a vector database that can help with similarity searches and nearest neighbor queries. Which AWS service meets these requirements?
The correct answer is D. Option D: Amazon OpenSearch Service
Explanation
Amazon OpenSearch Service provides managed search and log analytics. This option meets the real-time / low-latency performance requirement.
A company is building a generative AI tool. The company will use internal documents to customize a foundation model (FM). Which approach will meet this requirement?
The correct answer is B. Option B: Continued pre-training.
A company is monitoring a predictive model by using Amazon SageMaker Model Monitor. The company notices data drift beyond a defined threshold. The company wants to mitigate a potentially adverse impact on the predictive model. Which solution will meet these requirements?
The correct answer is C. Option C: Re-train the model with fresh data.
A financial company uses a generative AI model to assign credit limits to new customers. The company wants to make the decision-making process of the model more transparent to its customers. Which solution meets these requirements?
The correct answer is B. Option B: Apply explainable AI techniques to show customers which factors influenced the model’s decision.
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