Exam AWS Certified AI Practitioner AIF-C01 topic 1 question 92 discussion

A resposta correta é:D. Use uma ferramenta de processamento de linguagem natural (NLP) para gerar código. Explicação: Ferramentas de Processamento de Linguagem Natural (NLP) aplicadas à geração de código — como Amazon CodeWhisperer, GitHub Copilot ou soluções baseadas em LLMs (Large Language Models) — permitem que os desenvolvedores escrevam código mais rapidamente, automatizem tarefas repetitivas e melhorem a produtividade.Essas ferramentas analisam prompts em linguagem natural e geram blocos funcionais de código, documentação, testes automatizados e muito mais. B. Instale o software de recomendação de código nas ferramentas de desenvolvedor da empresa. É vago e não indica o uso de IA avançada ou NLP. Pode incluir sistemas manuais ou heurísticos.

B. Install code recommendation software in the company's developer tools: Code recommendation tools can be helpful, but they are often focused on suggesting improvements or alternatives to existing code rather than generating new code from scratch. While useful, it may not provide the same level of productivity boost as an NLP-based code generation tool.

As the company wants to increase software development productivity - B is the right one. i.e. Amazon Q Developer

D. Use a natural language processing (NLP) tool to generate code is likely a more impactful solution for increasing productivity. Code recommendations are helpful, but direct code generation from natural language can automate larger portions of the coding process.

Code Recommendation Software: Code recommendation software, such as Amazon CodeWhisperer or similar tools, integrates directly into developer environments (e.g., IDEs). These tools use machine learning and AI to: Suggest code snippets. Autocomplete code based on context. Improve developer productivity by reducing the time spent writing repetitive or boilerplate code.

The correct answer is B. Code recommendation tools integrated into developer environments provide immediate productivity benefits.

B. Install code recommendation software in the company's developer tools. Explanation: Code recommendation software integrates into developer tools (e.g., IDEs) and uses AI to analyze code context, provide intelligent code suggestions, automate repetitive tasks, and improve developer productivity. This approach directly aligns with the company's goal of increasing software development productivity. ------------- why not choosing D: While NLP-powered code generation is a promising area of research, it's not yet a foolproof solution for boosting productivity. Code recommendation tools, on the other hand, offer a more immediate and reliable way to enhance developer efficiency by streamlining the coding process.