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Vanishing Gradients and Why ReLU Helps
Saturating activations shrink gradients across layers, ReLU's flat-one derivative preserves them.
Explain Vue as a progressive framework and build-step differences
Tests incremental adoptability. Strong answers define progressive as layer-by-layer adoption, describe script-tag HTML enhancement, and contrast it with compiled SFC SPA toolchains. Red flag: calling Vue lightweight rather than incrementally adoptable.
What is the difference between primary, foreign, and unique keys?
This tests relational integrity basics. Answer: primary keys identify rows, foreign keys reference tables, and unique keys are alternate candidates. Red flag: saying unique keys are just for indexing or omitting a non-PK example like email.
Explain the difference between IaaS, PaaS, and SaaS with examples
This tests your grasp of cloud abstraction layers and shared responsibility. A strong answer maps IaaS to raw infrastructure like EC2, PaaS to managed runtimes like Heroku, and SaaS to end-user apps like Gmail.
What defines toil, with an example?
Define toil as manual, repetitive, automatable, tactical, no-enduring-value, scaling-with-growth work; distinguish it from overhead; give a concrete example.
What is a container vs a VM?
Containers share the host kernel and isolate via namespaces and cgroups; VMs run a full guest OS on a hypervisor; containers are lighter and faster.
Loss Function: Quantifying 'How Wrong' a Model Is
A loss function is a score that tells a machine learning model how wrong its predictions are. The lower the score, the better. It's the engine of training, guiding the model to adjust its parameters to get closer to the correct answers.
Vue: The Progressive Framework Philosophy
Vue's progressive philosophy means you can use as little or as much of it as you need. Use it for a single interactive widget, or scale it up to a full SPA with official libraries.
What is CI, and what is its single most important goal?
Frequent merges to a shared branch with automated build and test; top goal is a workable integrated codebase.
Explain Python type hints and their importance in FastAPI
Define hints as declarations; explain FastAPI uses them with Pydantic to validate requests and OpenAPI docs.
DBMS: The Software That Runs Your Database
A DBMS is the software engine that manages a database, separating your app from raw data files. You use it to query, update, and administer data, like with PostgreSQL or MySQL. The common footgun is confusing the DBMS with the database itself.
Site Reliability Engineering (SRE): Ops as a Software Problem
Site Reliability Engineering (SRE) treats operations as a software problem, using engineering to automate and scale system management. It's crucial for massive services like Google Search, ensuring availability, latency, and capacity.
Python Type Hints: Documentation Your Linter Can Read
Type hints are labels for variables and function returns (name: str) that Python ignores at runtime. They enable static analysis tools and IDEs to catch errors before you run code.
Cloud Computing: Renting Someone Else's Computer
Cloud computing is like renting a car instead of buying one. You get access to powerful computers and services over the internet, paying only for what you use, without the upfront cost of owning hardware. The footgun: "cheap to start" isn't "cheap at scale."
What is JSX and how does the browser run it?
JSX is XML-like syntax compiled to React.createElement calls; it differs from HTML via className and camelCase; browsers never see JSX, only transpiled JS.
DDL: The Blueprint for Database Objects
DDL is the blueprint for your database. You reach for it when spinning up new tables, indexes, or user permissions, not when querying rows. The footgun is running DROP thinking you are deleting data, not vaporizing the entire table structure.
Explain ACID properties and why they matter for banking or e-commerce
Define each as a failure-handling guarantee; show how partial commits cause double-spending.
VMs vs. Containers: Houses vs. Apartments
VMs are like separate houses, each with a full OS. Containers are apartments sharing the host OS kernel. VMs provide strong isolation for different OSes, while containers offer lightweight packaging for apps.
Stages of an end-to-end ML pipeline
Ingest, validate, preprocess and feature engineer, train, evaluate against a baseline, then register and package for deployment, with gates between stages.
GitHub Copilot tunes context windows and routing
GitHub Copilot is improving how it handles context windows and routes requests between models. Better token efficiency and smarter routing mean faster, more relevant code suggestions for developers using the tool daily.
Inverted index in search engines
An inverted index maps each term to the list of documents containing it, making keyword lookup O(1)-ish instead of scanning every document.
Explain word embeddings and why they beat one-hot encoding for large vocabularies
Embeddings cluster similar meanings in low-dimensional space, while one-hot vectors are orthogonal, huge, and semantically blank.
What out-of-the-box Angular features require manual setup in Vue or Svelte?
Tests whether you understand framework scope tradeoffs. A strong answer cites first-party routing, forms, dependency injection, and Signals, then contrasts them with Vue or Svelte's add-on ecosystem.
SLI vs SLO vs SLA: how do they relate?
SLI is a measured metric, SLO is the internal target for that metric, SLA is the external contract with consequences.
How does shared responsibility shift between IaaS and SaaS?
Tests your understanding of security ownership across cloud stacks. Strong answer: in IaaS you own OS, apps, and network controls; in SaaS you only own data, identities, endpoints, and accounts while the provider manages the rest.
Build Automation: The Engine of CI/CD
Build automation is a repeatable script that turns source code into a runnable application. It's the first step in any CI/CD pipeline, compiling code and running tests. The main footgun is creating brittle scripts that only work on one developer's machine.
Hugging Face Hub, transformers, and datasets
The Hub hosts models and data, transformers loads models and tokenizers and provides the Trainer, datasets streams and maps preprocessing.
Detecting data drift on a continuous feature
Data drift is when serving feature distributions shift from training; detect with a Kolmogorov-Smirnov test comparing distributions; a small p-value signals drift to alert on.
Activation Functions: Making Neural Networks Nonlinear
An activation function acts as a gatekeeper for a neuron, deciding what signal to pass on. It introduces non-linearity, allowing networks to learn complex patterns. A network with only linear activations collapses into a simple, less powerful model.
Self-Attention versus Recurrent Architectures
Each token attends to all others via query-key-value, enabling parallelism and direct long-range links.
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