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Amazon AWS Certified AI Practitioner Sample Questions:

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

2. An e-commerce company wants to build a solution to determine customer sentiments based on written customer reviews of products.
Which AWS services meet these requirements? (Select TWO.)

A) Amazon Polly
B) Amazon Lex
C) Amazon Bedrock
D) Amazon Rekognition
E) Amazon Comprehend

3. A company has a foundation model (FM) that was customized by using Amazon Bedrock to answer customer queries about products. The company wants to validate the model's responses to new types of queries. The company needs to upload a new dataset that Amazon Bedrock can use for validation.
Which AWS service meets these requirements?

A) Amazon Elastic File System (Amazon EFS)
B) AWS Snowcone
C) Amazon S3
D) Amazon Elastic Block Store (Amazon EBS)

4. 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) Data augmentation by using an Amazon Bedrock knowledge base
D) Image recognition by using Amazon Rekognition

5. A company wants to use generative AI to increase developer productivity and software development. The company wants to use Amazon Q Developer.
What can Amazon Q Developer do to help the company meet these requirements?

A) Run an application without provisioning or managing servers.
B) Enable voice commands for coding and providing natural language search.
C) Convert audio files to text documents by using ML models.
D) Create software snippets, reference tracking, and open-source license tracking.

Solutions: