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最新的 AWS Certified AI AI1-C01 免費考試真題:
1. What are tokens in the context of generative AI models?
A) Tokens are the pre-trained weights of a generative AI model that are fine-tuned for specific tasks.
B) Tokens are the mathematical representations of words or concepts used in generative AI models.
C) Tokens are the basic units of input and output that a generative AI model operates on, representing words, subwords, or other linguistic units.
D) Tokens are the specific prompts or instructions given to a generative AI model to generate output.
2. Which AWS service or feature can help an AI development team quickly deploy and consume a foundation model (FM) within the team's VPC?
A) PartyRock, an Amazon Bedrock Playground
B) Amazon SageMaker JumpStart
C) Amazon SageMaker endpoints
D) Amazon Personalize
3. 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) Using a third-party enterprise application that has embedded generative AI features.
B) Building an application by using an existing third-party generative AI foundation model (FM).
C) Refining an existing third-party generative AI foundation model (FM) by fine-tuning the model by using data specific to the business.
D) Building and training a generative AI model from scratch by using specific data that a customer owns.
4. 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) Selecting the foundation model (FM) based on predefined criteria and metrics
B) Automatically calling multiple foundation models (FMs) and consolidating the results
C) Generation of custom foundation models (FMs) to predict customer needs
D) Automation of repetitive tasks and orchestration of complex workflows
5. An AI practitioner has a database of animal photos. The AI practitioner wants to automatically identify and categorize the animals in the photos without manual human effort.
Which strategy meets these requirements?
A) Named entity recognition
B) Inpainting
C) Object detection
D) Anomaly detection
問題與答案:
問題 #1 答案: C | 問題 #2 答案: C | 問題 #3 答案: D | 問題 #4 答案: D | 問題 #5 答案: C |