Interview Questions & Answers + Free Tutorials

Design and ship LLM- and diffusion-based generative features (RAG, agents, fine-tuning).

Specialise in large language models — prompting, RAG, fine-tuning and evaluation.

Architect end-to-end AI systems balancing cost, latency, scale and governance.

Bridge research and engineering — implement and experiment with novel models.

Build natural-language systems: classification, NER, search, summarisation.

Build vision systems: detection, segmentation, OCR and video understanding.

Define, prioritise and ship AI products with the right metrics and guardrails.

Advise organisations on AI strategy, use-cases, ROI and adoption.

Build autonomous and tool-using agents with planning, memory and orchestration.

Design, test and optimise prompts and context for reliable LLM behaviour.

Ensure AI systems are fair, safe, compliant and well-governed.

Apply AI/ML to IT operations — anomaly detection, alerting and automation.

Operationalise ML — CI/CD, model registry, monitoring and drift detection.

Build reliable batch and streaming data pipelines and warehouses.

Own data platform architecture, quality, governance and team standards.

Transform raw data into trusted, tested analytics models (dbt, SQL).

Turn data into insight and models — statistics, ML and experimentation.

Analyse data and build dashboards to drive business decisions.

Design data models, ETL and dashboards in Power BI / Tableau.

Design enterprise data architecture, modeling and governance standards.

Process massive datasets with Spark, Hadoop and distributed systems.

Own data quality, lineage, cataloguing, privacy and compliance.

Build low-latency streaming systems with Kafka, Flink and Spark Streaming.

Build and operate cloud infrastructure on AWS, Azure or GCP.

Design secure, scalable, cost-efficient cloud architectures.

Build internal developer platforms, golden paths and self-service tooling.

Automate build, test, release and infrastructure with CI/CD and IaC.

Keep systems reliable with SLOs, observability and incident response.

Run production Kubernetes — workloads, networking, scaling and security.

Design and maintain compute, network and storage infrastructure.

Secure cloud workloads — IAM, encryption, posture and compliance.

Optimise cloud cost — visibility, allocation, rightsizing and forecasting.

Automate provisioning and config with Terraform, Ansible and pipelines.

Protect systems with defence-in-depth, hardening and monitoring.

Design secure architectures, threat models and security controls.

Secure the SDLC — code review, SAST/DAST and vulnerability management.

Monitor, triage and respond to security alerts and incidents.

Collect, analyse and operationalise threat intelligence (TTPs, IOCs).

Find and exploit vulnerabilities to harden systems — legally.

Design IAM — authn, authz, SSO, MFA, least privilege and lifecycle.

Architect secure multi-cloud environments and guardrails at scale.

Build and automate detection, response and security tooling (SecOps).

Investigate incidents — evidence, artefacts, chain of custody and analysis.

Build complete web apps — frontend, backend, APIs and databases.

Design APIs, services, databases and scalable server-side systems.

Build native and cross-platform mobile apps (Android, iOS, Flutter).

Discover, define and deliver products users love and the business needs.

Ensure quality with automated testing frameworks and CI integration.

TypeScript interview questions for freshers — types, interfaces, generics.

Java interview questions for freshers — OOP, collections, exceptions, JVM.

C++ interview questions for freshers — pointers, OOP, STL, memory.

C# interview questions for freshers — OOP, .NET, LINQ, collections.

Go interview questions for freshers — goroutines, slices, interfaces, channels.

Rust interview questions for freshers — ownership, borrowing, lifetimes.

Kotlin interview questions for freshers — null safety, coroutines, OOP.

Swift interview questions for freshers — optionals, structs vs classes, closures.

PHP interview questions for freshers — syntax, arrays, sessions, OOP.

Dart interview questions for freshers — null safety, futures, async, OOP.

R interview questions for freshers — vectors, data frames, apply family, stats.

Scala interview questions for freshers — immutability, functions, collections.