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Amazon AWS Certified AI Practitioner Sample Questions:

1. A company is building a solution to generate images for protective eyewear. The solution must have high accuracy and must minimize the risk of incorrect annotations.
Which solution will meet these requirements?

A) Human-in-the-loop validation by using Amazon SageMaker Ground Truth Plus
B) Data summarization by using Amazon QuickSight
C) Image recognition by using Amazon Rekognition
D) Data augmentation by using an Amazon Bedrock knowledge base

2. A company built a deep learning model for object detection and deployed the model to production.
Which AI process occurs when the model analyzes a new image to identify objects?

A) Model deployment
B) Inference
C) Training
D) Bias correction

3. A company is developing a new model to predict the prices of specific items. The model performed well on the training dataset. When the company deployed the model to production, the model's performance decreased significantly.
What should the company do to mitigate this problem?

A) Add hyperparameters to the model.
B) Increase the volume of data that is used in training.
C) Increase the model training time.
D) Reduce the volume of data that is used in training.

4. A company needs to build its own large language model (LLM) based on only the company's private data.
The company is concerned about the environmental effect of the training process.
Which Amazon EC2 instance type has the LEAST environmental effect when training LLMs?

A) Amazon EC2 C series
B) Amazon EC2 Trn series
C) Amazon EC2 G series
D) Amazon EC2 P series

5. A company is using domain-specific models. The company wants to avoid creating new models from the beginning. The company instead wants to adapt pre-trained models to create models for new, related tasks.
Which ML strategy meets these requirements?

A) Use unsupervised learning.
B) Decrease the number of epochs.
C) Use transfer learning.
D) Increase the number of epochs.

Solutions: