Banco de preguntas (422)
+ Nueva pregunta| # | Pregunta | Acciones |
|---|---|---|
| 381 |
A company stores large datasets in Amazon S3. Before using these datasets to train ML models, the company needs to identify and protect any sensitive data in the datasets. Which AWS service should the company use? AWS AI Practitioner |
|
| 382 |
A data scientist wants to improve the domain knowledge of a pre-trained LLM without using labeled data. Which training technique should the data scientist use? AWS AI Practitioner |
|
| 383 |
A data engineer is working on a machine learning project. The engineer is selecting and transforming variables from raw data to improve model performance. Which ML concept does this describe? AWS AI Practitioner |
|
| 384 |
A company wants to use AI to analyze customer feedback that includes text comments, product images, and audio reviews. Which AI use case does this describe? AWS AI Practitioner |
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| 385 |
A company needs to evaluate foundation models (FMs) for a real-time customer service application. The application requires fast responses to customer queries. Which FM characteristic should the company prioritize? AWS AI Practitioner |
|
| 386 |
A data scientist is explaining the pre-training process for large language models (LLMs). Which description BEST represents what happens during pre-training? AWS AI Practitioner |
|
| 387 |
A company is establishing an AI governance framework. A solutions architect needs to present the steps in the correct order. Which order of steps should the solutions architect follow? AWS AI Practitioner |
|
| 388 |
A company is training an ML model to predict customer churn. The training dataset has very few records for customers younger than 25 and older than 70. A data scientist suggests removing the age feature to simplify the model. What will be the result of removing the age feature? AWS AI Practitioner |
|
| 389 |
A user asks a generative AI assistant about recent company performance, and the assistant generates a detailed financial report with specific numbers that were never in its training data. What AI problem does this describe? AWS AI Practitioner |
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| 390 |
A company needs to ensure that only authorized users can access specific datasets used for model training in AWS. Which AWS service provides controlled access management for these resources? AWS AI Practitioner |
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| 391 |
A company is training an ML model using a dataset that primarily contains data from North American customers. The company wants to ensure the model works fairly for customers from all regions globally. Which step should the company take to address this? AWS AI Practitioner |
|
| 392 |
A company wants to provide its data engineers, data scientists, and ML engineers with a single unified environment for data and AI development tasks. Which AWS service should the company use? AWS AI Practitioner |
|
| 393 |
A company uses Amazon Bedrock to build a customer service chatbot. The company wants to prevent the chatbot from responding to questions about political topics. Which Amazon Bedrock feature should the company use? AWS AI Practitioner |
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| 394 |
A developer is building a RAG-based application. The developer needs to prepare company documents to be stored in a knowledge base for semantic search. Which step should the developer perform? AWS AI Practitioner |
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| 395 |
A business intelligence (BI) team wants to use AI to automatically generate executive summaries and insights from their BI reports. Which AWS service should the team use? AWS AI Practitioner |
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| 396 |
A data science team is selecting an ML model for a critical application. The team is discussing the tradeoff between model performance and interpretability. Which statement BEST describes this tradeoff? AWS AI Practitioner |
|
| 397 |
A company uses Amazon Bedrock to generate product descriptions. The company uses the same prompt structure for hundreds of products, changing only the product-specific details each time. The company wants to standardize and reuse these prompts efficiently. Which Amazon Bedrock feature should the company use? AWS AI Practitioner |
|
| 398 |
A company implements model transparency practices for its AI systems. Which outcome should the company expect from these practices? AWS AI Practitioner |
|
| 399 |
A company has built a content moderation system using a foundation model. As social media trends evolve rapidly, the company needs to keep the model updated with emerging harmful content patterns that reflect current trends. Which technique should the company use? AWS AI Practitioner |
|
| 400 |
A developer notices that an LLM produces different outputs each time it processes the same input prompt. Which characteristic of LLMs does this behavior describe? AWS AI Practitioner |