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261

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?

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262

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?

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263

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?

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264

A company uses ML techniques to build applications. Select the correct ML technique from the following list for each task. Select each ML technique one time. - Analyze a text question to determine if the answer is correct. - Analyze ecological factors to determine the number of species in a certain area. - Analyze car attributes to determine the car model.

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265

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?

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266

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?

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267

A company is building an AI solution by using Amazon SageMaker AI. The company wants to use SageMaker AI features to facilitate application development. Select the correct SageMaker AI feature from the following list for each use case. Select each feature one time. - Determine the most suitable model to use for a business case. - Prepare data through a low-code or no-code interface. - Identify biases or imbalances in the data.

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268

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?

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269

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?

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270

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?

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271

A company deployed a model to production. After 4 months, the model inference quality degraded. The company wants to receive a notification if the model inference quality degrades. The company also wants to ensure that the problem does not happen again. Which solution will meet these requirements?

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272

Which option is an example of unsupervised learning?

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273

A company is evaluating several large language models (LLMs) for a text summarization task. The company needs to select a metric to evaluate the quality of the summaries that the LLMs generate. Which metric will meet this requirement?

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274

A research group wants to test different generative AI models to create research papers. The research group has defined a prompt and needs a method to assess the models' output. The research group wants to use a team of scientists to perform the output assessments. Which solution will meet these requirements?

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275

An ecommerce company is developing a generative AI solution to create personalized product recommendations for its application users. The company wants to track how effectively the AI solution increases product sales and user engagement in the application. Select the correct business metric from the following list for each business goal. Each business metric should be selected one time. - Measure how engaging the product recommendations are to users. - Determine the effect of the AI solution on the total value of user purchases. - Assess the AI solution's ability to encourage users to return to the platform.

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276

An AI practitioner wants to evaluate ML models. The AI practitioner wants to provide explanations of model predictions to customers and stakeholders. Which AWS service or feature will meet these requirements?

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277

Sentiment analysis is a subset of which broader field of AI?

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278

A company wants to set up private access to Amazon Bedrock APIs from the company's AWS account. The company also wants to protect its data from internet exposure. Which solution meets these requirements?

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279

A company receives a large amount of unstructured user feedback in text format. The company wants to analyze the sentiment of the user feedback. Which solution will meet these requirements?

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280

A company wants to improve multiple ML models. Select the correct technique from the following list of use cases. Each technique should be selected one time or not at all. - Enhancing the capabilities of a large language model (LLM) by using external sources. - Querying a model to generalize and make predictions on unseen tasks. - Querying a model with a limited amount of data for new tasks.

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