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Amazon AWS Certified AI Practitioner Sample Questions:

1. A company wants to classify human genes into 20 categories based on gene characteristics.
The company needs an ML algorithm to document how the inner mechanism of the model affects the output.
Which ML algorithm meets these requirements?

A) Decision trees
B) Logistic regression
C) Linear regression
D) Neural networks

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

3. 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) Clustering models
C) Prescriptive ML models
D) BERT-based models

4. A company wants to use a large language model (LLM) on Amazon Bedrock for sentiment analysis. The company wants to know how much information can fit into one prompt.
Which consideration will inform the company's decision?

A) Context window
B) Temperature
C) Model size
D) Batch size

5. A company wants to display the total sales for its top-selling products across various retail locations in the past 12 months.
Which AWS solution should the company use to automate the generation of graphs?

A) Amazon Q in Amazon EC2
B) Amazon Q in AWS Chatbot
C) Amazon Q in Amazon QuickSight
D) Amazon Q Developer

Solutions: