VALID AI1-C01 TEST PDF & AI1-C01 RELIABLE EXAM PRICE

Valid AI1-C01 Test Pdf & AI1-C01 Reliable Exam Price

Valid AI1-C01 Test Pdf & AI1-C01 Reliable Exam Price

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Tags: Valid AI1-C01 Test Pdf, AI1-C01 Reliable Exam Price, Reliable AI1-C01 Guide Files, AI1-C01 Latest Test Testking, AI1-C01 Preparation Store

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Amazon AWS Certified AI Practitioner Exam Sample Questions (Q13-Q18):

NEW QUESTION # 13
A company is using Amazon SageMaker Studio notebooks to build and train ML models. The company stores the data in an Amazon S3 bucket. The company needs to manage the flow of data from Amazon S3 to SageMaker Studio notebooks.
Which solution will meet this requirement?

  • A. Use Amazon Macie to monitor SageMaker Studio.
  • B. Configure SageMaker to use a VPC with an S3 endpoint.
  • C. Configure SageMaker to use S3 Glacier Deep Archive.
  • D. Use Amazon Inspector to monitor SageMaker Studio.

Answer: B


NEW QUESTION # 14
A company has documents that are missing some words because of a database error. The company wants to build an ML model that can suggest potential words to fill in the missing text.
Which type of model meets this requirement?

  • A. Topic modeling
  • B. Prescriptive ML models
  • C. Clustering models
  • D. BERT-based models

Answer: D


NEW QUESTION # 15
An AI practitioner is building a model to generate images of humans in various professions. The AI practitioner discovered that the input data is biased and that specific attributes affect the image generation and create bias in the model.
Which technique will solve the problem?

  • A. Retrieval Augmented Generation (RAG)
  • B. Data augmentation for imbalanced classes
  • C. Watermark detection for images
  • D. Model monitoring for class distribution

Answer: B


NEW QUESTION # 16
A digital devices company wants to predict customer demand for memory hardware. The company does not have coding experience or knowledge of ML algorithms and needs to develop a data-driven predictive model.
The company needs to perform analysis on internal data and external data.
Which solution will meet these requirements?

  • A. Import the data into Amazon SageMaker Canvas. Build ML models and demand forecast predictions by selecting the values in the data from SageMaker Canvas.
  • B. Import the data into Amazon SageMaker Data Wrangler. Build ML models and demand forecast predictions by using an Amazon Personalize Trending-Now recipe.
  • C. Import the data into Amazon SageMaker Data Wrangler. Create ML models and demand forecast predictions by using SageMaker built-in algorithms.
  • D. Store the data in Amazon S3. Create ML models and demand forecast predictions by using Amazon SageMaker built-in algorithms that use the data from Amazon S3.

Answer: A

Explanation:
I'll continue to format the rest. Let me know if you would like me to provide them all in one go or in parts.


NEW QUESTION # 17
An education provider is building a question and answer application that uses a generative AI model to explain complex concepts. The education provider wants to automatically change the style of the model response depending on who is asking the question. The education provider will give the model the age range of the user who has asked the question.
Which solution meets these requirements with the LEAST implementation effort?

  • A. Use chain-of-thought reasoning to deduce the correct style and complexity for a response suitable for that user.
  • B. Add a role description to the prompt context that instructs the model of the age range that the response should target.
  • C. Summarize the response text depending on the age of the user so that younger users receive shorter responses.
  • D. Fine-tune the model by using additional training data that is representative of the various age ranges that the application will support.

Answer: B


NEW QUESTION # 18
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