Amazon AWS Certified AI Practitioner Sample Questions:
1. 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) Internet gateway
B) Amazon Macie
C) Amazon CloudFront
D) AWS PrivateLink
2. Which metric measures the runtime efficiency of operating AI models?
A) Number of training instances
B) Customer satisfaction score (CSAT)
C) Training time for each epoch
D) Average response time
3. A company wants to make a chatbot to help customers. The chatbot will help solve technical problems without human intervention. The company chose a foundation model (FM) for the chatbot. The chatbot needs to produce responses that adhere to company tone.
Which solution meets these requirements?
A) Experiment and refine the prompt until the FM produces the desired responses.
B) Use batch inferencing to process detailed responses.
C) Set a low limit on the number of tokens the FM can produce.
D) Define a higher number for the temperature parameter.
4. 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) R-squared score
B) Learning rate
C) Root mean squared error (RMSE)
D) Accuracy
5. A loan company is building a generative AI-based solution to offer new applicants discounts based on specific business criteria. The company wants to build and use an AI model responsibly to minimize bias that could negatively affect some customers.
Which actions should the company take to meet these requirements? (Select TWO.)
A) Use the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) technique to ensure that the model is 100% accurate.
B) Ensure that the model's inference time is within the accepted limits.
C) Detect imbalances or disparities in the data.
D) Evaluate the model's behavior so that the company can provide transparency to stakeholders.
E) Ensure that the model runs frequently.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: D | Question # 5 Answer: C,D |
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