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What’s the role of a spine-leaf architecture in data centers?

Spine-leaf architecture connects every leaf switch (racks) to every spine switch (core) in a flat, fast network. It cuts latency and scales easy, but the catch is cost—more switches and cables pile up quick.

What’s tricky about animating SVG paths?

Animating SVG paths involves keyframes targeting the d attribute via CSS, but browsers only animate it with SMIL or JavaScript in most cases. CSS can animate stroke properties like stroke-dasharray or stroke-dashoffset for dash effects. The catch is precision—dash values must align with path lengths for smooth motion.

How does fiber optic cabling enhance data center networking?

Fiber optic cabling carries data as light, offering high bandwidth and long distances over copper. It’s key for fast server links, but the catch is fragility—bends or dirt on connectors kill signals, so it needs careful handling.

What is the role of the /proc filesystem in Linux?

The /proc filesystem is a virtual directory that gives you a window into the kernel and running processes. It’s not on disk—it’s generated in memory and shows real-time info like CPU stats, memory usage, or process details. The tricky part is its dynamic nature; files like /proc/meminfo change as the system runs, making it a goldmine for troubleshooting.

How does a file system manage disk resources?

A file system organizes disk space into files and directories, tracking where data lives. It’s crucial for storage, but the trick is overhead—metadata or fragmentation can slow access if not optimized.

What are arrow functions in JavaScript?

Arrow function expressions in JavaScript are a compact alternative to traditional function expressions, introduced with some semantic differences and deliberate limitations in usage.

What is a Docker image and how does it differ from a container?

A Docker image is a read-only template with app code, libraries, and OS bits, while a container is a running instance of that image. Images are static, containers are live. The trick is layering—images stack changes, but containers can mess up if you tweak them too much.

What’s the trick to designing a scalable API?

A scalable API uses caching, rate limits, and stateless calls to handle load. It grows easy, but versioning or throttling missteps break clients.

How does a database handle query caching?

Query caching stores results for reuse, speeding consistent reads. It’s quick, but stale caches serve old data if not cleared right.

What is promise in Javascript?

The Promise object represents the eventual completion (or failure) of an asynchronous operation and its resulting value.

What’s the role of penetration testing phases in ethical hacking?

Penetration testing follows phases like planning, recon, scanning, exploitation, and reporting. Ethical hackers use this structure to systematically find and fix flaws. The tricky part is staying thorough—missing a phase can leave vulnerabilities hidden or fixes unclear.

What’s the deal with MVCC for consistency?

Multiversion concurrency control keeps old data versions so readers don’t block writers, ensuring consistency. It’s smooth, but old versions pile up—cleaning them slows things.

What’s the trick to exploiting cross-site scripting vulnerabilities?

Cross-site scripting, or XSS, injects malicious scripts into web pages viewed by others, like through comment fields. Ethical hackers exploit it to test if a site runs untrusted code, potentially stealing cookies or redirecting users. The trick is finding input points that aren’t sanitized and proving harm without executing real attacks.

How does the chroot command isolate processes?

The chroot command changes the root directory for a process, locking it into a smaller filesystem subtree. It’s like a lightweight jail for testing or security, but the trick is escaping—processes can break out if they have root access or misconfigured permissions, so it’s not foolproof isolation.

How does partitioning help with data consistency?

Partitioning splits tables into pieces—like by date—making big datasets manageable. It keeps queries fast, but cross-partition writes risk inconsistency if not synced.

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