Banco de preguntas (422)
+ Nueva pregunta| # | Pregunta | Acciones |
|---|---|---|
| 281 |
A company wants to create an AI solution to generate images and descriptions for a product catalog. The company needs to select a foundation model (FM) for this solution. The company must consider the output types of each FM. Which FM characteristic is the company evaluating? AWS AI Practitioner |
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| 282 |
A company wants to use an ML model to analyze customer reviews on social media. The model must determine if each review has a neutral, positive, or negative sentiment. Which model evaluation strategy will meet these requirements? AWS AI Practitioner |
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| 283 |
Select the correct AI term from the following list for each statement. Each AI term should be selected one time. - Simulates human problem-solving capabilities. - Applies data-driven learning techniques to make predictions. - Focuses on processing data through intricate neural networks. AWS AI Practitioner |
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| 284 |
Which option is an example of unsupervised learning? AWS AI Practitioner |
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| 285 |
An online learning company with large volumes of education materials wants to use enterprise search. Which AWS service meets these requirements? AWS AI Practitioner |
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| 286 |
A company creates video content. The company wants to use generative AI to generate new creative content and to reduce video creation time. Which solution will meet these requirements in the MOST operationally efficient way? AWS AI Practitioner |
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| 287 |
A company is training ML models on datasets. The datasets contain some classes that have more examples than other classes. The company wants to measure how well the model balances detecting and labeling the classes. Which metric should the company use? AWS AI Practitioner |
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| 288 |
A company is analyzing financial transaction records. The company categorizes the records as either personal or business. The company inserts the categories into the transaction records. Which data preparation step does this describe? AWS AI Practitioner |
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| 289 |
A company wants to extract key insights from large policy documents to increase employee efficiency. Which generative AI strategy meets this requirement? AWS AI Practitioner |
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| 290 |
A company is using Amazon SageMaker to deploy a model that identifies if social media posts contain certain topics. The company needs to show how different input features influence model behavior. Which SageMaker feature meets these requirements? AWS AI Practitioner |
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| 291 |
An AI practitioner is determining the appropriate data type for various use cases. Select the correct data type from the following list for each use case. Select each data type one time. - Build a sentiment analysis model for social media posts. - Train a self-driving car to recognize traffic signs. - Optimize ad campaigns by using customer demographic data and purchase history. - Forecast stock prices by using historical price data. AWS AI Practitioner |
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| 292 |
A company wants to assess internet quality in remote areas of the world. The company needs to collect internet speed data and store the data in Amazon RDS. The company will analyze internet speed variation throughout each day. The company wants to create an AI model to predict potential internet disruptions. Which type of data should the company collect for this task? AWS AI Practitioner |
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| 293 |
A company wants to build an ML model to detect abnormal patterns in sensor data. The company does not have labeled data for training. Which ML method will meet these requirements? AWS AI Practitioner |
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| 294 |
A company uses Amazon Bedrock to implement a generative AI assistant on a website. The AI assistant helps customers with product recommendations and purchasing decisions. The company wants to measure the direct impact of the AI assistant on sales performance. Which metric will meet these requirements? AWS AI Practitioner |
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| 295 |
Which AWS service or feature stores embeddings in a vector database for use with foundation models (FMs) and Retrieval Augmented Generation (RAG)? AWS AI Practitioner |
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| 296 |
Which scenario represents a practical use case for generative AI? AWS AI Practitioner |
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| 297 |
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? AWS AI Practitioner |
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| 298 |
A media streaming platform wants to provide movie recommendations to users based on the users' account history. Which AWS service meets these requirements? AWS AI Practitioner |
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| 299 |
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? AWS AI Practitioner |
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| 300 |
A company is building a generative AI application and is reviewing foundation models (FMs). The company needs to consider multiple FM characteristics. Select the correct FM characteristic from the following list for each definition. Each FM characteristic should be selected one time. - Amount of information that can fit in a single prompt. - Length of time it takes for a model to generate an output. - Multiple users invoking an application endpoint simultaneously. AWS AI Practitioner |