Practice Free AIF-C01 Exam Online Questions
A company has built a chatbot that can respond to natural language questions with images. The company wants to ensure that the chatbot does not return inappropriate or unwanted images.
Which solution will meet these requirements?
- A . Implement moderation APIs.
- B . Retrain the model with a general public dataset.
- C . Perform model validation.
- D . Automate user feedback integration.
A security company is using Amazon Bedrock to run foundation models (FMs). The company wants to ensure that only authorized users invoke the models. The company needs to identify any unauthorized access attempts to set appropriate AWS Identity and Access Management (IAM) policies and roles for future iterations of the FMs.
Which AWS service should the company use to identify unauthorized users that are trying to access Amazon Bedrock?
- A . AWS Audit Manager
- B . AWS CloudTrail
- C . Amazon Fraud Detector
- D . AWS Trusted Advisor
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.
An education provider is building a question and answer application that uses a generative AI model to explain complex concepts. The education provider wants to automatically change the style of the model response depending on who is asking the question. The education provider will give the model the age range of the user who has asked the question.
Which solution meets these requirements with the LEAST implementation effort?
- A . Fine-tune the model by using additional training data that is representative of the various age ranges that the application will support.
- B . Add a role description to the prompt context that instructs the model of the age range that the response should target.
- C . Use chain-of-thought reasoning to deduce the correct style and complexity for a response suitable for that user.
- D . Summarize the response text depending on the age of the user so that younger users receive shorter responses.
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 . Object detection
- B . Anomaly detection
- C . Named entity recognition
- D . Inpainting
An AI practitioner is building a model to generate images of humans in various professions. The AI practitioner discovered that the input data is biased and that specific attributes affect the image generation and create bias in the model.
Which technique will solve the problem?
- A . Data augmentation for imbalanced classes
- B . Model monitoring for class distribution
- C . Retrieval Augmented Generation (RAG)
- D . Watermark detection for images
Which functionality does Amazon SageMaker Clarify provide?
- A . Integrates a Retrieval Augmented Generation (RAG) workflow
- B . Monitors the quality of ML models in production
- C . Documents critical details about ML models
- D . Identifies potential bias during data preparation
A company wants to use large language models (LLMs) with Amazon Bedrock to develop a chat interface for the company’s product manuals. The manuals are stored as PDF files.
Which solution meets these requirements MOST cost-effectively?
- A . Use prompt engineering to add one PDF file as context to the user prompt when the prompt is submitted to Amazon Bedrock.
- B . Use prompt engineering to add all the PDF files as context to the user prompt when the prompt is submitted to Amazon Bedrock.
- C . Use all the PDF documents to fine-tune a model with Amazon Bedrock. Use the fine-tuned model to process user prompts.
- D . Upload PDF documents to an Amazon Bedrock knowledge base. Use the knowledge base to provide context when users submit prompts to Amazon Bedrock.
A company is training a foundation model (FM). The company wants to increase the accuracy of the
model up to a specific acceptance level.
Which solution will meet these requirements?
- A . Decrease the batch size.
- B . Increase the epochs.
- C . Decrease the epochs.
- D . Increase the temperature parameter.
A company is building an ML model. The company collected new data and analyzed the data by creating a correlation matrix, calculating statistics, and visualizing the data.
Which stage of the ML pipeline is the company currently in?
- A . Data pre-processing
- B . Feature engineering
- C . Exploratory data analysis
- D . Hyperparameter tuning