Topic 1 Question 92
A software company builds tools for customers. The company wants to use AI to increase software development productivity.
Which solution will meet these requirements?
Use a binary classification model to generate code reviews.
Install code recommendation software in the company's developer tools.
Install a code forecasting tool to predict potential code issues.
Use a natural language processing (NLP) tool to generate code.
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コメント(6)
- 正解だと思う選択肢: B
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.
👍 2KevinKas2024/12/31 - 正解だと思う選択肢: B
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.
👍 1aws_Tamilan2024/12/27 - 正解だと思う選択肢: B
The correct answer is B. Code recommendation tools integrated into developer environments provide immediate productivity benefits.
👍 1may2021_r2024/12/28
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