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Amazon AWS Certified AI Practitioner Sample Questions:

1. A company is using few-shot prompting on a base model that is hosted on Amazon Bedrock. The model currently uses 10 examples in the prompt. The model is invoked once daily and is performing well. The company wants to lower the monthly cost.
Which solution will meet these requirements?

A) Customize the model by using fine-tuning.
B) Increase the number of tokens in the prompt.
C) Decrease the number of tokens in the prompt.
D) Use Provisioned Throughput.

2. A company is building an ML model. The company collected new data and analyzed the data by creating a correlation matrix, calculating statistics, and visualizing the data.
Which stage of the ML pipeline is the company currently in?

A) Exploratory data analysis
B) Data pre-processing
C) Feature engineering
D) Hyperparameter tuning

3. A company is using the Generative AI Security Scoping Matrix to assess security responsibilities for its solutions. The company has identified four different solution scopes based on the matrix.
Which solution scope gives the company the MOST ownership of security responsibilities?

A) Refining an existing third-party generative AI foundation model (FM) by fine-tuning the model by using data specific to the business.
B) Building and training a generative AI model from scratch by using specific data that a customer owns.
C) Building an application by using an existing third-party generative AI foundation model (FM).
D) Using a third-party enterprise application that has embedded generative AI features.

4. A company is using an Amazon Bedrock base model to summarize documents for an internal use case. The company trained a custom model to improve the summarization quality.
Which action must the company take to use the custom model through Amazon Bedrock?

A) Purchase Provisioned Throughput for the custom model.
B) Deploy the custom model in an Amazon SageMaker endpoint for real-time inference.
C) Grant access to the custom model in Amazon Bedrock.
D) Register the model with the Amazon SageMaker Model Registry.

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

Solutions: