Amazon AIF-C01 AWS Certified AI Practitioner Online Training
Amazon AIF-C01 Online Training
The questions for AIF-C01 were last updated at Feb 22,2025.
- Exam Code: AIF-C01
- Exam Name: AWS Certified AI Practitioner
- Certification Provider: Amazon
- Latest update: Feb 22,2025
What are tokens in the context of generative AI models?
- A . Tokens are the basic units of input and output that a generative AI model operates on, representing words, subwords, or other linguistic units.
- B . Tokens are the mathematical representations of words or concepts used in generative AI models.
- C . Tokens are the pre-trained weights of a generative AI model that are fine-tuned for specific tasks.
- D . Tokens are the specific prompts or instructions given to a generative AI model to generate output.
An AI practitioner is using an Amazon Bedrock base model to summarize session chats from the customer service department. The AI practitioner wants to store invocation logs to monitor model input and output data.
Which strategy should the AI practitioner use?
- A . Configure AWS CloudTrail as the logs destination for the model.
- B . Enable invocation logging in Amazon Bedrock.
- C . Configure AWS Audit Manager as the logs destination for the model.
- D . Configure model invocation logging in Amazon EventBridge.
A company needs to build its own large language model (LLM) based on only the company’s private data. The company is concerned about the environmental effect of the training process.
Which Amazon EC2 instance type has the LEAST environmental effect when training LLMs?
- A . Amazon EC2 C series
- B . Amazon EC2 G series
- C . Amazon EC2 P series
- D . Amazon EC2 Trn series
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 . AWS PrivateLink
- B . Amazon Macie
- C . Amazon CloudFront
- D . Internet gateway
A company built a deep learning model for object detection and deployed the model to production.
Which AI process occurs when the model analyzes a new image to identify objects?
- A . Training
- B . Inference
- C . Model deployment
- D . Bias correction
A company is using Amazon SageMaker Studio notebooks to build and train ML models. The company stores the data in an Amazon S3 bucket. The company needs to manage the flow of data from Amazon S3 to SageMaker Studio notebooks.
Which solution will meet this requirement?
- A . Use Amazon Inspector to monitor SageMaker Studio.
- B . Use Amazon Macie to monitor SageMaker Studio.
- C . Configure SageMaker to use a VPC with an S3 endpoint.
- D . Configure SageMaker to use S3 Glacier Deep Archive.
A company is using domain-specific models. The company wants to avoid creating new models from the beginning. The company instead wants to adapt pre-trained models to create models for new, related tasks.
Which ML strategy meets these requirements?
- A . Increase the number of epochs.
- B . Use transfer learning.
- C . Decrease the number of epochs.
- D . Use unsupervised learning.
A company wants to use AI to protect its application from threats. The AI solution needs to check if
an IP address is from a suspicious source.
Which solution meets these requirements?
- A . Build a speech recognition system.
- B . Create a natural language processing (NLP) named entity recognition system.
- C . Develop an anomaly detection system.
- D . Create a fraud forecasting system.
A company wants to use a large language model (LLM) to develop a conversational agent. The company needs to prevent the LLM from being manipulated with common prompt engineering techniques to perform undesirable actions or expose sensitive information.
Which action will reduce these risks?
- A . Create a prompt template that teaches the LLM to detect attack patterns.
- B . Increase the temperature parameter on invocation requests to the LLM.
- C . Avoid using LLMs that are not listed in Amazon SageMaker.
- D . Decrease the number of input tokens on invocations of the LLM.
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 . Reduce the volume of data that is used in training.
- B . Add hyperparameters to the model.
- C . Increase the volume of data that is used in training.
- D . Increase the model training time.
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