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Exam Code: AI1-C01
Exam Name: AWS Certified AI Practitioner Exam
Updated: May 30, 2026
Q & A: 88 Questions and Answers
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1. 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.
2. A large retailer receives thousands of customer support inquiries about products every day. The customer support inquiries need to be processed and responded to quickly. The company wants to implement Agents for Amazon Bedrock.
What are the key benefits of using Amazon Bedrock agents that could help this retailer?
A) Generation of custom foundation models (FMs) to predict customer needs
B) Automation of repetitive tasks and orchestration of complex workflows
C) Selecting the foundation model (FM) based on predefined criteria and metrics
D) Automatically calling multiple foundation models (FMs) and consolidating the results
3. 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) Import the data into Amazon SageMaker Data Wrangler. Create ML models and demand forecast predictions by using SageMaker built-in algorithms.
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) 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.
D) Import the data into Amazon SageMaker Data Wrangler. Build ML models and demand forecast predictions by using an Amazon Personalize Trending-Now recipe.
4. A company is using the Generative AI Security Scoping Matrix to assess security responsibilities for its solutions. The company has identified four different solution scopes based on the matrix.
Which solution scope gives the company the MOST ownership of security responsibilities?
A) Refining an existing third-party generative AI foundation model (FM) by fine-tuning the model by using data specific to the business.
B) Using a third-party enterprise application that has embedded generative AI features.
C) Building an application by using an existing third-party generative AI foundation model (FM).
D) Building and training a generative AI model from scratch by using specific data that a customer owns.
5. 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 volume of data that is used in training.
B) Add hyperparameters to the model.
C) Increase the model training time.
D) Reduce the volume of data that is used in training.
Solutions:
| Question # 1 Answer: C,D | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: D | Question # 5 Answer: A |
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