Easy everything in Backend Dev, page 8
How do Go and Rust control visibility of functions and types?
Tests encapsulation conventions in systems languages. Go uses capitalization: uppercase exports across packages; Rust uses explicit pub keywords with module-level privacy. Red flag: claiming either uses Java-style access modifiers or runtime visibility.
Define a User struct and map of IDs to pointers
Tests Go struct and map pointer basics. Outline: define User with ID and Name, initialize map[int]*User with make, insert &User literals, and note shared mutation. Red flag: writing to a nil map or storing values instead of pointers.
Define a WebEvent enum with PageLoad, PageUnload, and KeyPress
Tests Rust enum syntax: unit versus tuple variants. A good answer defines WebEvent with PageLoad, PageUnload, and KeyPress(char), then instantiates WebEvent::KeyPress('q'). A red flag is forgetting the double colon or using struct variant syntax.
How do you append to a Go slice and why reassign?
Tests slice headers and append reallocation. A strong answer reassigns the result (s = append(s, 4)), explains that append may allocate a new backing array, and warns that ignoring the return value drops elements. Red flag: calling append without assignment.
Write a 1-to-5 loop in Go and Rust
Write Go's three-clause for, write Rust's 1..=5 range iterator, and contrast statement iteration with iterator consumption.
How does Go's variable declaration and mutability differ from Rust?
Contrast Rust let (immutable) and let mut (mutable) with Go var and := (mutable), noting Go uses const for immutability.
Compare Go's GC and Rust's ownership across performance, productivity, and safety
This tests memory-model trade-offs. Contrast Rust's compile-time ownership for deterministic, zero-cost safety against Go's GC, which optimizes simplicity and onboarding but adds runtime overhead. Red flag: calling one strictly superior.
What is the difference between DDL and DML in SQL?
DDL shapes schema with CREATE or ALTER; DML handles row-level data with SELECT, INSERT, UPDATE, or DELETE.
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.
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.
How SQL Queries Become Abstract Syntax Trees
An AST turns a flat SQL string into a tree of operations the database can reason about. The parser builds this tree before execution planning. Do not confuse it with the raw parse tree, which keeps punctuation and formatting the AST strips away.
DML: Insert, Update, and Delete
DML is the change-focused subset of database languages like SQL that adds, modifies, and removes data. It appears in every write to a table. The footgun is assuming SELECT belongs in DML; read-only querying is sometimes split out as DQL instead.
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.
Your First Python Dockerfile Blueprint
A Dockerfile is a recipe for building a self-contained environment for your Python app. Use it to ensure your app runs identically everywhere, from your laptop to production. The common footgun is forgetting a .dockerignore file, which bloats your image.
FastAPI Lifespan: Code Before Startup, After Shutdown
FastAPI's lifespan events are "open for business" and "closing time" routines that run once before startup and after shutdown. Use them to initialize a DB pool or load a model. The footgun is putting request-specific logic here; it runs once only.
FastAPI: Configure API Metadata for Better Docs
Think of FastAPI metadata as your project's business card. It sets the title, version, and description in your auto-generated docs, making your API professional and discoverable. The main footgun is forgetting to update the version string after a release.
pytest Fixtures: Reusable Test Setups
Pytest fixtures are reusable functions for test setup, like creating sample data. Your tests request them by name as arguments, and pytest automatically runs them and injects the results.
FastAPI's TestClient: Test Your API Without a Live Server
FastAPI's TestClient simulates API requests in-memory, letting you test endpoints without a live server. Use it with pytest to verify status codes and responses. The main footgun is forgetting to pip install httpx, as it's a required dependency.
FastAPI Background Tasks: Don't Make the Client Wait
FastAPI background tasks let you run slow operations, like sending an email, *after* returning a response. This keeps your API fast. The main footgun: these are fire-and-forget; a server crash means the task is lost without a real message queue.
CORSMiddleware: Unblocking Your Frontend from Your Backend
CORS is a browser security rule, not a server bug. Use FastAPI's CORSMiddleware to tell browsers which frontends (e.g., localhost:3000) are allowed to fetch data from your API (e.g., localhost:8000).
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