Enhance Productivity and Code Quality GH-300 Practice Questions (Page 3)

Questions 11–15

1. 11expert · hard

   A developer is building a data transformation function in Python that reads a JSON file, normalizes nested fields, and writes the result to a CSV. The developer has a clear idea of the input and output formats but is unsure how to handle deeply nested structures efficiently. They want to avoid context switching and ensure the code is performant. What is the best approach?

   • AUse Copilot to generate sample data first, then write the function based on the data.
   • BWrite a detailed comment describing the transformation and let Copilot generate the function, then profile it with a sample input.
   • CAsk Copilot to generate the function, then immediately deploy it to production.
   • DManually write the function using recursive calls to handle nesting.
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2. 12application · medium

   A developer has just joined a team that maintains a large Java codebase using an internal framework. They need to understand how a specific service class processes incoming messages. The class uses several custom annotations and base classes the developer has never seen. What is the most effective way to use GitHub Copilot to accelerate learning?

   • ASearch the web for the framework's documentation and read it.
   • BAsk Copilot to generate a new class that processes messages in a similar way.
   • CSelect the class and ask Copilot Chat: 'Explain how this class processes messages, including the role of each annotation'.
   • DAsk Copilot to refactor the class to use standard Java annotations.
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4. 13application · medium

   A developer is working on a Go project and needs to write a function that parses a YAML configuration file and returns a struct. The developer has never used the `gopkg.in/yaml.v3` package. They want to write the code quickly and learn the package's API. What is the most effective approach?

   • ASearch the web for the yaml.v3 documentation and read it before writing code.
   • BAsk Copilot to generate a struct definition only, then write the parsing logic manually.
   • CUse a different YAML library that the developer already knows.
   • DType a comment describing the function and let Copilot suggest the implementation using the yaml package.
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5. 14foundation · easy

   A developer needs a JSON array of sample user objects for testing. How can GitHub Copilot help?

   • ABy creating a new file with random data automatically.
   • BBy providing a link to a sample data generator website.
   • CBy connecting to a database and fetching real user data.
   • DBy generating the JSON when the developer writes a comment like '# generate sample users in JSON'.
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6. 15foundation · easy

   Which type of sample data can GitHub Copilot generate?

   • ACSV files with realistic-looking records
   • BMachine learning model weights
   • CEncrypted database backups
   • DBinary executable files
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