Free AWS Certified AI Practitioner Exam AIF-C01 Exam Practice Test

A company wants to build an interactive application for children that generates new stories based on classic stories. The company wants to use Amazon Bedrock and needs to ensure that the results and topics are appropriate for children.Which AWS service or feature will meet these requirements?

• Amazon Rekognition
• Amazon Bedrock playgrounds
• Guardrails for Amazon Bedrock
• Agents for Amazon Bedrock

A company has terabytes of data in a database that the company can use for business analysis. The company wants to build an AI-based application that can build a SQL query from input text that employees provide. The employees have minimal experience with technology.Which solution meets these requirements?

• Generative pre-trained transformers (GPT)
• Residual neural network
• Support vector machine
• WaveNet

An AI practitioner wants to use a foundation model (FM) to design a search application. The search application must handle queries that have text and images.Which type of FM should the AI practitioner use to power the search application?

• Multi-modal embedding model
• Text embedding model
• Multi-modal generation model
• Image generation model

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?

• Data pre-processing
• Feature engineering
• Exploratory data analysis
• Hyperparameter tuning

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?

• Increase the number of epochs.
• Use transfer learning.
• Decrease the number of epochs.
• Use unsupervised learning.

Which option is a use case for generative AI models?

• Improving network security by using intrusion detection systems
• Creating photorealistic images from text descriptions for digital marketing
• Enhancing database performance by using optimized indexing
• Analyzing financial data to forecast stock market trends

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?

• Using a third-party enterprise application that has embedded generative AI features.
• Building an application by using an existing third-party generative AI foundation model (FM).
• Refining an existing third-party generative AI foundation model (FM) by fine-tuning the model by using data specific to the business.
• Building and training a generative AI model from scratch by using specific data that a customer owns.

An AI practitioner trained a custom model on Amazon Bedrock by using a training dataset that contains confidential data. The AI practitioner wants to ensure that the custom model does not generate inference responses based on confidential data.How should the AI practitioner prevent responses based on confidential data?

• Delete the custom model. Remove the confidential data from the training dataset. Retrain the custom model.
• Mask the confidential data in the inference responses by using dynamic data masking.
• Encrypt the confidential data in the inference responses by using Amazon SageMaker.
• Encrypt the confidential data in the custom model by using AWS Key Management Service (AWS KMS).

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?

• Implement moderation APIs.
• Retrain the model with a general public dataset.
• Perform model validation.
• Automate user feedback integration.

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?

• Use prompt engineering to add one PDF file as context to the user prompt when the prompt is submitted to Amazon Bedrock.
• Use prompt engineering to add all the PDF files as context to the user prompt when the prompt is submitted to Amazon Bedrock.
• Use all the PDF documents to fine-tune a model with Amazon Bedrock. Use the fine-tuned model to process user prompts.
• Upload PDF documents to an Amazon Bedrock knowledge base. Use the knowledge base to provide context when users submit prompts to Amazon Bedrock.