← AWS Certified Generative AI Developer - Professional
AWS · objective · 31% of the exam
Foundation Model Integration, Data Management, and Compliance
Exam objectives are the official skill domains AWS Certified Generative AI Developer - Professional tests. Below are the official AWS docs our questions on this objective cite — review them, then practise.
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Official references for this objective
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Amazon Web Services — Build Generative AI Applications with Foundation Models - Amazon Bedrock FAQs - AWS
your content is not used to improve the base models and is not shared with any model providers
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Amazon Web Services — Simplified model access in Amazon Bedrock | AWS Security Blog
IAM statements with the PutFoundationModelEntitlement permission no longer have an effect.
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Amazon Web Services — Submit a model customization job for fine-tuning - Amazon Bedrock
If you don't specify the customizationType , the model customization method defaults to FINE_TUNING .
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Amazon Web Services — Data protection - Amazon Bedrock
You are responsible for maintaining control over your content that is hosted on this infrastructure. You are also responsible for the security configuration and management
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Amazon Web Services — Sync your data with your Amazon Bedrock knowledge base - Amazon Bedrock
Only metadata.json files are modified. No content files are changed. The associated content files are not CSV files. The data source does not use a
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Amazon Web Services — Customize your model to improve its performance for your use case - Amazon Bedrock
Instead of providing labeled input-output pairs, you define reward functions that evaluate response quality. The model learns iteratively by receiving feedback scores from these reward
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Amazon Web Services — Ingest changes directly into a knowledge base - Amazon Bedrock
For S3 data sources, any changes that you index into the knowledge base directly in the AWS Management Console or with the KnowledgeBaseDocuments API operations
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Amazon Web Services — Model sources and license agreements - Amazon SageMaker AI
The accept_eula value is None by default and must be explicitly redefined as True in order to accept the end-user license agreement.
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Amazon Web Services — Overview - Amazon Bedrock
Converse API import boto3 client = boto3.client('bedrock-runtime', region_name='us-east-1') response = client.converse( modelId='anthropic.claude-opus-4-7', messages=[