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Amazon AWS Certified AI Practitioner Sample Questions:

1. A digital devices company wants to predict customer demand for memory hardware. The company does not have coding experience or knowledge of ML algorithms and needs to develop a data-driven predictive model.
The company needs to perform analysis on internal data and external data.
Which solution will meet these requirements?

A) Store the data in Amazon S3. Create ML models and demand forecast predictions by using Amazon SageMaker built-in algorithms that use the data from Amazon S3.
B) Import the data into Amazon SageMaker Canvas. Build ML models and demand forecast predictions by selecting the values in the data from SageMaker Canvas.
C) Import the data into Amazon SageMaker Data Wrangler. Create ML models and demand forecast predictions by using SageMaker built-in algorithms.
D) Import the data into Amazon SageMaker Data Wrangler. Build ML models and demand forecast predictions by using an Amazon Personalize Trending-Now recipe.

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

3. A financial institution is using Amazon Bedrock to develop an AI application. The application is hosted in a VPC. To meet regulatory compliance standards, the VPC is not allowed access to any internet traffic.
Which AWS service or feature will meet these requirements?

A) Amazon CloudFront
B) AWS PrivateLink
C) Amazon Macie
D) Internet gateway

4. A company is training a foundation model (FM). The company wants to increase the accuracy of the model up to a specific acceptance level.
Which solution will meet these requirements?

A) Increase the temperature parameter.
B) Decrease the batch size.
C) Increase the epochs.
D) Decrease the epochs.

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

Solutions: