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Cloud Platforms

AWS, Azure, GCP, serverless, managed services

33 bites

Test yourself: Top 30 easy Cloud Platforms interview questionsMultiple choice, with the correct answer and why it is correct on every question. Free, no sign-in.

Easy interview questions in Cloud Platforms, page 2

easy1 min read

Serverless cold starts and how to mitigate them

A cold start is the latency to provision and initialize a fresh environment; mitigate with provisioned concurrency, smaller packages, and lighter runtimes.

easy2 min read

Purpose and setup of a Dead-Letter Queue

A DLQ captures messages that repeatedly fail so they neither block the queue nor get lost; configure a redrive policy with a max receive count and alarm on it.

easy1 min read

What is Infrastructure as Code?

IaC defines infra in version-controlled files, giving repeatability, peer review, and drift-free consistency, unlike error-prone console clicks.

easy2 min read

Automate patching across a VM fleet

Use a patch or config tool to target by tag, roll out in canaried waves with health checks, and prefer immutable golden images long term.

easy2 min read

Attribute cloud costs to teams

Tag resources with team and project metadata, activate them as cost-allocation tags, group the cost report by that tag, and enforce tagging with policy.

easy1 min read

On-Demand vs Reserved vs Spot pricing models

On-Demand is flexible but priciest, Reserved trades a 1-3 year commitment for discounts, Spot is cheapest but interruptible.

easy1 min read

Data lake versus data warehouse

Lakes store raw, schema-on-read data of any type cheaply; warehouses store curated, schema-on-write structured data for fast SQL; choose a lake for varied raw data and ML.

easy1 min read

ETL versus ELT in cloud data platforms

ETL transforms before loading into the target; ELT loads raw first then transforms in the warehouse, leveraging cheap storage and elastic compute.

easy1 min read

CSV vs JSON vs Parquet for analytics

CSV and JSON are row-based, human-readable, and bulky; columnar Parquet/ORC compress well and read only needed columns; choose columnar for analytics.

easy2 min read

Pre-built AI service vs custom model

Choose a managed service for speed, no ML expertise, and common tasks; build custom for domain-specific needs, control, or cost at scale.

easy2 min read

Feeding large object-store data into training

Stream data instead of copying it all to disk, use streaming/pipe modes, shard and prefetch in parallel, and pack many small images into larger files.

easy1 min read

Explain the Well-Architected Framework pillars

Name the pillars, operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability, and explain each briefly.

easy1 min read

Lift-and-shift versus replatforming migration

Rehosting moves apps unchanged for speed and low risk; replatforming makes targeted optimizations for cloud benefits; explain the speed-versus-value trade-off.

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