Evaluate your understanding of Node.js deployment strategies and best practices for achieving production readiness. This quiz covers scalable configurations, environment handling, error management, and performance optimization techniques tailored for deploying Node.js applications.
Which method is most recommended for managing sensitive configuration values, such as API keys, when deploying a Node.js application?
Explanation: Storing sensitive values in environment variables is preferred because it keeps secrets out of source code and logs, reducing security risks. Hardcoding secrets in the code is unsafe, as it can lead to accidental exposure. Saving them in log files is insecure and makes secrets accessible to unauthorized users. Including them in client-side scripts exposes sensitive data to any user.
Why should you avoid hardcoding a specific port number in your Node.js application's production deployment?
Explanation: Using environment variables or configuration files for port numbers avoids collision and allows flexibility based on deployment needs. Hardcoding does not increase CPU usage and does not force protocol type. Memory leaks are unrelated to how ports are assigned.
What is a recommended action when your Node.js application encounters an unhandled exception during production?
Explanation: Gracefully restarting after logging maintains reliability and availability while preserving diagnostic information. Ignoring exceptions can lead to an unstable state, showing stack traces to users exposes sensitive details, and clearing data is inappropriate and risky.
In a production environment on a multi-core server, why might you use the cluster module with your Node.js app?
Explanation: The cluster module allows creating multiple processes to utilize all CPU cores, improving performance and scalability. It does not impact code size, is unrelated to asynchronous execution, and does not help with environment variable management.
What is the key benefit of using a dedicated process manager for Node.js applications in production?
Explanation: A process manager ensures uptime by watching for crashes and restarting the process. It does not impact dependency folder size, has no effect on client-side routing mechanisms, and does not alter JavaScript compilation speed.
When configuring logging in a Node.js production app, what is a best practice to follow?
Explanation: Adding timestamps helps debugging, and omitting sensitive data protects users. Logging passwords is insecure, disabling logs removes critical information for diagnosing problems, and restricting logs to development hinders production monitoring.
Which approach is generally recommended for serving static files such as images or stylesheets in a production Node.js app?
Explanation: Using a static file server is efficient and scalable for serving assets in production. Generating files on each request is resource-intensive, embedding them in code causes bloat and inefficiency, and in-memory caching alone is risky for large or numerous files.
What does implementing a graceful shutdown in a Node.js server help accomplish during a deployment or restart?
Explanation: A graceful shutdown lets the current requests finish to avoid interruptions or data loss. It does not enhance speed, handle encryption by itself, or affect client authentication or logins.
Why should production and development environments be separated in a Node.js deployment?
Explanation: Removing debugging and test features in production improves security and performance. Memory requirements are managed differently, and code should remain consistent aside from relevant settings. Providing root access to users is unsafe and unrelated to environment separation.
What is a safe practice for dependency management when deploying a Node.js application to production?
Explanation: Limiting dependencies to those needed for runtime reduces security risks and minimizes potential issues. Installing all packages is unnecessary and risky, skipping version pinning can lead to unexpected updates, and updating directly on production skips important testing steps.