GPV-C01: AWS Generative AI Developer - 6 Practice Tests

About this course

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Achieve the premier professional qualification for generative artificial intelligence on AWS: the AWS Certified Generative AI Developer Professional (GPV-C01) practice exam suite. Engineered for lead AI engineers, generative AI architects, and enterprise software developers, this practice exam suite features 6 full-length exams comprising 450 advanced architectural scenario questions that evaluate cutting-edge Foundation Model (FM) customization, autonomous agent swarms, multimodal RAG architectures, and enterprise AI security.

Each practice test mirrors the real 180-minute, 75-question examination structure with a 75% passing threshold. Detailed rationales accompany every question, exploring the architectural trade-offs between prompt engineering, Parameter-Efficient Fine-Tuning (PEFT/LoRA), and full model customization, analyzing latency vs. accuracy trade-offs, and referencing AWS Generative AI best practices.

Official Blueprint Domains Covered Across Every Practice Test:

Generative AI Architecture and Design (26% of Exam Score):

Select appropriate foundation models across text, code, vision, and multimodal modalities (Claude 3.5 Sonnet, Llama 3, Amazon Titan, Stable Diffusion) based on latency, throughput, token pricing, and task complexity. Architect high-throughput inference using Amazon Bedrock Provisioned Throughput. Design caching layers for model prompts and responses to reduce cost and latency.

Foundation Model Fine-Tuning and Adaptation (24% of Exam Score):

Evaluate trade-offs between in-context learning, Retrieval-Augmented Generation (RAG), and fine-tuning. Implement Parameter-Efficient Fine-Tuning (PEFT) techniques including Low-Rank Adaptation (LoRA) and QLoRA on Amazon SageMaker Jump

Start and Amazon Bedrock. Prepare and clean training datasets in JSONL format, formatting multi-turn chat and instruction data.

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