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

A company has petabytes of unlabeled customer data to use for an advertisement campaign. Thecompany wants to classify its customers into tiers to advertise and promote the company's products. Which methodology should the company use to meet these requirements?

• Supervised learning
• Unsupervised learning
• Reinforcement learning
• Reinforcement learning from human feedback (RLHF)

What are tokens in the context of generative AI models?

• Tokens are the basic units of input and output that a generative AI model operates on, representing words, subwords, or other linguistic units.
• Tokens are the mathematical representations of words or concepts used in generative AI models.
• Tokens are the pre-trained weights of a generative AI model that are fine-tuned for specific tasks.
• Tokens are the specific prompts or instructions given to a generative AI model to generate output.

A company wants to use language models to create an application for inference on edge devices. The inference must have the lowest latency possible.Which solution will meet these requirements?

• Deploy optimized small language models (SLMs) on edge devices.
• Deploy optimized large language models (LLMs) on edge devices.
• Incorporate a centralized small language model (SLM) API for asynchronous communication with edge devices.
• Incorporate a centralized large language model (LLM) API for asynchronous communication with edge devices.

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?

• Object detection
• Anomaly detection
• Named entity recognition
• Inpainting

Which term describes the numerical representations of real-world objects and concepts that AI and natural language processing (NLP) models use to improve understanding of textual information?

• Embeddings
• Tokens
• Models
• Binaries

A company is building an application that needs to generate synthetic data that is based on existing data.Which type of model can the company use to meet this requirement?

• Generative adversarial network (GAN)
• XGBoost
• Residual neural network
• WaveNet

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.

An e-commerce company wants to build a solution to determine customer sentiments based on written customer reviews of products.Which AWS services meet these requirements? (Select TWO.)

• Amazon Lex
• Amazon Comprehend
• Amazon Polly
• Amazon Bedrock
• Amazon Rekognition

A company manually reviews all submitted resumes in PDF format. As the company grows, the company expects the volume of resumes to exceed the company's review capacity. The companyneeds an automated system to convert the PDF resumes into plain text format for additional processing.Which AWS service meets this requirement?

• Amazon Textract
• Amazon Personalize
• Amazon Lex
• Amazon Transcribe

Which feature of Amazon OpenSearch Service gives companies the ability to build vector database applications?

• Integration with Amazon S3 for object storage
• Support for geospatial indexing and queries
• Scalable index management and nearest neighbor search capability
• Ability to perform real-time analysis on streaming data