In-depth guides for top tech company interviews. Each guide covers the interview process, question types, preparation tips, and includes real practice questions.
9,429 guides across 7,316 companies · page 70 of 158
Cognex software engineer prep on partial failure: a timed-out request has an unknown outcome, not a failed one.
ALICE Technologies software engineer prep: algorithm drills where every complexity claim has to name the assumption under it.
Software engineer prep for Air India: design exercises weighted toward the constraints of B2B software and infrastructure work.
API design practice for Trainline software engineer candidates: compatibility, versioning, and changes you cannot take back.
Cbre Group software engineer prep on partial failure: a timed-out request has an unknown outcome, not a failed one.
A prep plan for CaixaBank software engineer candidates: answer first, read the solution second, repeat the misses later.
Concurrency drills for Anaplan software engineer prep: races, lock ordering, and what a check-then-act sequence assumes.
Take-home style practice for Broadcom software engineer candidates: a small service, a fixed budget, a written tradeoff.
Take-home style practice for Bouygues Construction software engineer candidates: a small service, a fixed budget, a written tradeoff.
Caching practice for Ayogo Health software engineer prep: settle the staleness budget before choosing an invalidation strategy.
Baxter software engineer prep: algorithm drills where every complexity claim has to name the assumption under it.
Debugging practice for Beca software engineer candidates: reproduce it, narrow it, then change one thing per run.
Take-home style practice for Boston Scientific software engineer candidates: a small service, a fixed budget, a written tradeoff.
Banco Santander software engineer prep on operations: decide what you would need to see to know a release is going wrong.
Code reading practice for Aurora IT software engineer prep: work out what unfamiliar code does before judging it.
API design practice for Atlas Tech software engineer candidates: compatibility, versioning, and changes you cannot take back.
Debugging practice for Astera Institute software engineer candidates: reproduce it, narrow it, then change one thing per run.
Software engineer interview prep for Asana Spa: original coding, system design and debugging practice, each with a worked solution.
Software engineer interview prep for Arrow International: original coding, system design and debugging practice, each with a worked solution.
Software engineer interview prep for Apna: original coding, system design and debugging practice, each with a worked solution.
Timed coding practice for AMP Limited software engineer candidates: full attempts under a clock, then scored against a rubric.
A prep plan for ANS software engineer candidates: answer first, read the solution second, repeat the misses later.
American Electric Power software engineer prep on operations: decide what you would need to see to know a release is going wrong.
Timed coding practice for Aescape software engineer candidates: full attempts under a clock, then scored against a rubric.
Caching practice for Aecon software engineer prep: settle the staleness budget before choosing an invalidation strategy.
Timed coding practice for AESG software engineer candidates: full attempts under a clock, then scored against a rubric.
Timed coding practice for Aman software engineer candidates: full attempts under a clock, then scored against a rubric.
Debugging practice for Airbus Helicopters software engineer candidates: reproduce it, narrow it, then change one thing per run.
System design practice for AeroVironment software engineer candidates: reach a data model and an API contract, not a box diagram.
Testing practice for Altria software engineer candidates: the boundaries worth covering, and why flakiness is a real defect.
Software engineer interview prep for Altrad Balliauw Group: original coding, system design and debugging practice, each with a worked solution.
Debugging practice for ADACOR Hosting software engineer candidates: reproduce it, narrow it, then change one thing per run.
Take-home style practice for Adzuna software engineer candidates: a small service, a fixed budget, a written tradeoff.
Timed coding practice for Goldman Sachs software engineer candidates: full attempts under a clock, then scored against a rubric.
Accertify software engineer prep on operations: decide what you would need to see to know a release is going wrong.
A two-week prep plan for Zurich Insurance data scientist candidates: write your answer before reading the solution, revisit misses three days later.
Take-home style practice for data scientist candidates: a messy dataset, a fixed time budget, and an analysis you write up and defend.
Practice explaining analysis before a Wealthfront data scientist interview: the recommendation, the uncertainty, the follow-ups.
Whatnot data scientist prep: probability, sampling distributions, and stating the assumption behind every test you run.
WWE data scientist prep: probability, sampling distributions, and stating the assumption behind every test you run.
Modeling drills for a Vanguard data scientist interview: baselines, regression interpretation, class imbalance, model defense.
A two-week prep plan for Telefónica data scientist candidates: write your answer before reading the solution, revisit misses three days later.
Data scientist prep for The Trade Desk: practice defining a advertising and attribution metric, picking its guardrails and defending the tradeoff.
SQL practice for The City Of Providence data scientist candidates: window functions, funnel and retention queries, joins that quietly drop rows.
Causal inference drills for State Farm data scientist prep: diff-in-diff, matching, instruments, and the limits of observed data.
Causal inference drills for Sony data scientist prep: diff-in-diff, matching, instruments, and the limits of observed data.
Case practice for Schrödinger data scientist candidates: scope a vague prompt into a measurable question before you analyze it.
Timed data scientist practice for Scopely: short SQL and probability sets run end to end, then scored against a rubric.
SQL practice for Reputation data scientist candidates: window functions, funnel and retention queries, joins that quietly drop rows.
Regeneron data scientist prep on data pitfalls: selection bias, target leakage, and checking an outlier's provenance before you drop it.
Take-home style practice for data scientist candidates: a messy dataset, a fixed time budget, and an analysis you write up and defend.
Diagnose a metric move for Provenir data scientist prep: split by segment, rule out a logging change, separate mix shift from behaviour.
Take-home style practice for data scientist candidates: a messy dataset, a fixed time budget, and an analysis you write up and defend.
SQL practice for PCS Global Tech data scientist candidates: window functions, funnel and retention queries, joins that quietly drop rows.
Data scientist prep for Mercedes-Benz Group: practice defining a product and business analytics metric, picking its guardrails and defending the tradeoff.
Timed data scientist practice for Lam Research: short SQL and probability sets run end to end, then scored against a rubric.
Case practice for LexisNexis Risk Solutions data scientist candidates: scope a vague prompt into a measurable question before you analyze it.
Modeling drills for a Lincoln Institute of Land Policy data scientist interview: baselines, regression interpretation, class imbalance, model defense.
Take-home style practice for data scientist candidates: a messy dataset, a fixed time budget, and an analysis you write up and defend.
Timed data scientist practice for Healthfirst (New York): short SQL and probability sets run end to end, then scored against a rubric.