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Amazon AWS Certified AI Practitioner Sample Questions:

1. 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) Increase the number of epochs.
C) Use transfer learning.
D) Decrease the number of epochs.

2. A research company implemented a chatbot by using a foundation model (FM) from Amazon Bedrock. The chatbot searches for answers to questions from a large database of research papers.
After multiple prompt engineering attempts, the company notices that the FM is performing poorly because of the complex scientific terms in the research papers.
How can the company improve the performance of the chatbot?

A) Use domain adaptation fine-tuning to adapt the FM to complex scientific terms.
B) Clean the research paper data to remove complex scientific terms.
C) Change the FM inference parameters.
D) Use few-shot prompting to define how the FM can answer the questions.

3. A security company is using Amazon Bedrock to run foundation models (FMs). The company wants to ensure that only authorized users invoke the models. The company needs to identify any unauthorized access attempts to set appropriate AWS Identity and Access Management (IAM) policies and roles for future iterations of the FMs.
Which AWS service should the company use to identify unauthorized users that are trying to accessAmazon Bedrock?

A) AWS Trusted Advisor
B) Amazon Fraud Detector
C) AWS CloudTrail
D) AWS Audit Manager

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

5. A company has built an image classification model to predict plant diseases from photos of plant leaves. The company wants to evaluate how many images the model classified correctly.
Which evaluation metric should the company use to measure the model's performance?

A) Root mean squared error (RMSE)
B) R-squared score
C) Accuracy
D) Learning rate

Solutions: