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Amazon AWS Certified AI Practitioner Sample Questions:

1. A company is building a customer service chatbot. The company wants the chatbot to improve its responses by learning from past interactions and online resources.
Which AI learning strategy provides this self-improvement capability?

A) Reinforcement learning with rewards for positive customer feedback
B) Unsupervised learning to find clusters of similar customer inquiries
C) Supervised learning with a continuously updated FAQ database
D) Supervised learning with a manually curated dataset of good responses and bad responses

2. A company is building an application that needs to generate synthetic data that is based on existing data.
Which type of model can the company use to meet this requirement?

A) Residual neural network
B) WaveNet
C) Generative adversarial network (GAN)
D) XGBoost

3. A company has built a solution by using generative AI.
The solution uses large language models (LLMs) to translate training manuals from English into other languages.
The company wants to evaluate the accuracy of the solution by examining the text generated for the manuals.
Which model evaluation strategy meets these requirements?

A) Bilingual Evaluation Understudy (BLEU)
B) Recall-Oriented Understudy for Gisting Evaluation (ROUGE)
C) Root mean squared error (RMSE)
D) F1 score

4. A company has developed an ML model for image classification. The company wants to deploy the model to production so that a web application can use the model.
The company needs to implement a solution to host the model and serve predictions without managing any of the underlying infrastructure.
Which solution will meet these requirements?

A) Use Amazon CloudFront to deploy the model.
B) Use Amazon API Gateway to host the model and serve predictions.
C) Use Amazon SageMaker Serverless Inference to deploy the model.
D) Use AWS Batch to host the model and serve predictions.

5. An AI practitioner has built a deep learning model to classify the types of materials in images. The AI practitioner now wants to measure the model performance.
Which metric will help the AI practitioner evaluate the performance of the model?

A) Mean squared error (MSE)
B) Confusion matrix
C) Correlation matrix
D) R2 score

Solutions: