________ tools are crucial in analyzing and removing unused code through tree shaking.

  • Babel
  • Linter
  • Bundler
  • Minifier
Bundlers play a key role in tree shaking. They are responsible for analyzing the dependencies between modules, identifying unused code, and removing it during the build process. Common bundlers like Webpack and Rollup are often configured to perform tree shaking to optimize the final bundle size.

What are the limitations of using the spread operator for deep cloning complex objects?

  • It does not handle circular references well.
  • It only works for primitive data types.
  • It cannot clone objects with prototype chains.
  • It cannot clone functions.
The spread operator is limited in deep cloning when dealing with circular references, making it less suitable for complex object structures. Circular references can result in infinite loops during cloning.

Which of the following is not a state of a Promise?

  • Completed
  • Fulfilled
  • Rejected
  • Pending
"Completed" is not a standard state of a Promise. The valid states are "Pending," "Fulfilled," and "Rejected." A Promise is initially in the "Pending" state and transitions to either "Fulfilled" or "Rejected" based on the outcome of the asynchronous operation it represents.

For an analytics dashboard that requires data transformation, how would higher-order functions streamline this process?

  • map
  • reduce
  • filter
  • forEach
The correct option is map. map is used for transforming each element of an array and creating a new array with the transformed values. It is ideal for data transformation tasks in scenarios like an analytics dashboard.

Consider a web application where you need to apply multiple transformations to user input. How would functional composition enhance this process?

  • Improved Reusability and Modularity
  • Increased Complexity and Maintenance
  • Streamlined Debugging and Error Handling
  • Reduced Code Duplication and Enhanced Readability
Functional composition allows breaking down complex transformations into smaller, reusable functions. This promotes code modularity, simplifies debugging, and enhances readability by reducing code duplication. It streamlines the development process by composing functions to perform various transformations efficiently. This approach leads to more maintainable and scalable code.

How can destructuring assignment be effectively used in React components to handle props and state?

  • It cannot be used with React components
  • It simplifies access to props and state values
  • It makes React components slower
  • It is only applicable to class components
Destructuring assignment is commonly used in React components to handle props and state efficiently. By extracting specific values from the props and state objects using destructuring syntax, developers can improve code readability and make component logic more concise. This practice simplifies the process of accessing and using props and state values within the component, contributing to better-organized and more maintainable React code.

How do enhanced object literals in ES6 facilitate the assignment of variables as properties of objects?

  • Dynamic Assignment
  • Property Binding
  • Object Linking
  • Variable Embedding
In ES6, enhanced object literals allow dynamic assignment of variables as properties using square brackets. This feature is especially useful when the property name needs to be determined at runtime. It promotes a more flexible and concise way of defining object properties.

To export multiple features from a single module, use export { feature1, feature2 as _______ };.

  • alias
  • as
  • export
  • feature2
To export multiple features from a single module, use export { feature1, feature2 as alias }; where as alias provides an optional alias for the exported feature, making it clear when imported.

What is a potential pitfall when using multiple named exports in an ES6 module?

  • Naming conflicts and increased coupling
  • Improved encapsulation and modularity
  • Simplified import statements
  • Enhanced code maintainability
When using multiple named exports, naming conflicts may arise, leading to increased coupling between modules. It's important to carefully manage naming to avoid issues and maintain a modular code structure.

In a situation where you have to iterate through a complex data structure (like a tree), how can generator functions simplify the process?

  • Enables pausing and resuming iteration
  • Provides deep cloning of data
  • Enhances recursive functions
  • Enables multithreading
Generator functions enable pausing and resuming iteration, making them ideal for traversing complex data structures like trees. The yield keyword allows you to pause the iteration at a specific point and then resume from where it left off, simplifying the handling of intricate data structures.