Cohort 4Register
AWS Interview Questions

AWS Interview Questions For Cloud, Data, and Backend Roles

Practice AWS interview questions across EC2, S3, Lambda, IAM, VPC, RDS vs DynamoDB, auto scaling, SQS/SNS, and data services like Redshift, Glue, and EMR.

By Durgesh Yadav — Senior Data Engineer @ 7-Eleven · Updated 2 Oct 2026. Preparation guidance, not a hiring guarantee.

Jump to 14 answered questionsBeginner to Advanced · 3 FAQs · 5-part guide

Which AWS services are tested in data interviews?

Data-engineering interviews focus on a core AWS set: S3 storage classes and partitioning, Glue for ETL and its Data Catalog, Redshift for warehousing, EMR for Spark workloads, Lambda for event-driven pipelines, and IAM roles for secure access. Expect scenario questions on designing a batch pipeline across these services.

Guide

What To Learn And How To Practice

What is AWS data engineering?

AWS data engineering is building data pipelines on Amazon Web Services: landing raw data in S3, transforming it with Glue, EMR (managed Spark) or Lambda, loading it into Redshift or querying it in place with Athena, and streaming it through Kinesis, with IAM deciding who can touch what. The job is the same as anywhere else; the services are AWS's.

Example: files land in S3, a scheduled Glue job cleans and partitions them, Athena or Redshift serves the result to dashboards, and IAM roles keep each step to the data it needs
Why it matters for jobs: AWS was named in 29.0% of 1,470 data-engineer postings in PrepNPlaced's India Tech Hiring Report (23 August to 27 September 2026), the second most-named cloud after Azure (35.7%)
What interviews test: when to pick Glue, EMR or Lambda for a job, S3 partitioning, and a batch pipeline drawn across these services

Which core AWS services should you know?

Most AWS interviews start with the building blocks: compute, storage, networking, databases, and access control. Be able to explain what each service does and when you'd choose it.

EC2, Lambda, and when to use each
S3 storage classes and lifecycle rules
IAM users, roles, and least privilege

When would you run an ETL job on Glue, EMR or Lambda?

Glue fits scheduled batch ETL when nobody wants to run a cluster and the Data Catalog already holds the schemas. EMR is right when the job needs custom libraries or a cluster that stays up between jobs. We keep Lambda for small event-driven transforms, such as reacting to a file landing in S3.

Choose by how much of the cluster you want to own
DimensionAWS GlueAmazon EMRAWS Lambda
What you manageNo servers, you set workers per jobCluster size, instance types and installed softwareOnly the function code and its memory setting
EngineSpark or Python shell, run by AWSSpark, Hive, Presto, HBase, your pick and versionYour code in a supported runtime like Python
Run lengthLong batch jobsAs long as the cluster is upShort, capped at minutes per invocation
ScalingSet the number of workers per jobAdd or remove nodes, auto scaling optionalOne instance per event, scales automatically
Best fitScheduled batch ETL with the Data CatalogHeavy or custom Spark and Hive workloadsEvent-driven transforms, such as an S3 file trigger
Custom librariesExtra Python or JAR files attached to the jobAnything, via bootstrap actionsLayers or a container image

What networking and security questions come up?

Expect questions on VPCs, subnets, security groups versus network ACLs, and how resources connect securely to each other and the internet.

VPC, subnets, and route tables
Security group vs network ACL
Public vs private subnets

Which database and data services are tested?

For data and backend roles, know when to use RDS versus DynamoDB, and the AWS data stack — S3, Glue, EMR, Redshift, and Athena.

RDS vs DynamoDB tradeoffs
Redshift for analytics warehousing
Glue and EMR for ETL

Question bank

14 interview questions with answers

Real questions from beginner to advanced, each with a concise model answer — practice them, then rehearse live in a mock interview. Every answer is open; collapse any you have already covered.

BeginnerWhat is AWS and what are its core services?

AWS (Amazon Web Services) is a cloud platform offering on-demand compute, storage, database, and networking. Core services include EC2 (virtual servers), S3 (object storage), RDS (managed databases), Lambda (serverless functions), and IAM (access control).

BeginnerWhat is the difference between a region and an availability zone?

A region is a geographic area (like Mumbai or N. Virginia) containing multiple, isolated availability zones. An availability zone is one or more discrete data centers within a region. Spreading resources across zones gives high availability.

BeginnerWhat is Amazon S3 and when do you use it?

S3 is scalable object storage for files of any size. It's used for backups, static websites, data lakes, and storing images or logs. Objects live in buckets and are accessed by key, with strong durability and lifecycle rules.

BeginnerWhat is Amazon EC2?

EC2 (Elastic Compute Cloud) provides resizable virtual servers in the cloud. You choose an instance type for CPU/memory, an AMI for the OS, and pay per second/hour. Use it when you need full control over the server environment.

IntermediateWhat is the difference between EC2 and AWS Lambda?

EC2 gives you a persistent virtual server you manage and pay for while it runs. Lambda is serverless — it runs your function on demand, scales automatically, and you pay only per invocation and duration. Use Lambda for short, event-driven tasks.

IntermediateWhat is IAM in AWS?

IAM (Identity and Access Management) controls who can do what in your account through users, groups, roles, and policies. Best practice is least privilege — grant only the permissions needed — and using roles instead of long-lived access keys.

IntermediateWhat is the difference between a security group and a network ACL?

A security group is a stateful firewall attached to an instance — return traffic is automatically allowed. A network ACL is a stateless firewall at the subnet level where you must allow both inbound and outbound rules explicitly.

IntermediateWhat are the S3 storage classes?

S3 offers Standard (frequent access), Standard-IA and One Zone-IA (infrequent access), Intelligent-Tiering (auto-moves data), and Glacier/Glacier Deep Archive (cheap archival with slower retrieval). Lifecycle rules move data between them to save cost.

IntermediateWhat is the difference between RDS and DynamoDB?

RDS is a managed relational database (MySQL, PostgreSQL, etc.) with SQL and joins. DynamoDB is a managed NoSQL key-value/document store with single-digit-millisecond latency and automatic scaling. Choose RDS for relational data, DynamoDB for high-scale key lookups.

IntermediateWhat is Auto Scaling and how does it work?

Auto Scaling automatically adds or removes EC2 instances based on demand using policies tied to metrics like CPU. Combined with a load balancer, it keeps performance steady during spikes and reduces cost during quiet periods.

IntermediateWhat is the difference between SQS and SNS?

SQS is a message queue where consumers pull messages and process them one at a time (decoupling and buffering). SNS is a pub/sub service that pushes a message to many subscribers at once. They're often combined in fan-out patterns.

AdvancedWhat is a VPC?

A VPC (Virtual Private Cloud) is your isolated network in AWS. You define subnets (public/private), route tables, internet and NAT gateways, and security controls, giving you fine-grained control over how resources connect to each other and the internet.

AdvancedWhich AWS services are used for data engineering?

Common ones are S3 (data lake), Glue (serverless ETL and catalog), EMR (managed Spark/Hadoop), Redshift (data warehouse), Athena (query S3 with SQL), Kinesis (streaming), and Lambda for lightweight transforms.

AdvancedWhat is Amazon Redshift and when do you use it?

Redshift is a columnar, massively parallel data warehouse for analytics on large datasets. Use it for BI and reporting workloads that aggregate billions of rows, where it outperforms row-based OLTP databases like RDS.

By company

Cloud Engineer interviews that ask these questions

See how this topic shows up in real Cloud Engineer loops — rounds, difficulty and company-specific questions:

All company interview guides →

FAQ

Common Questions

How should I prepare for an AWS interview?

Learn the core services deeply (EC2, S3, IAM, VPC, RDS/DynamoDB, Lambda), understand the tradeoffs between them, and be able to sketch a simple, highly available architecture on a whiteboard.

Which AWS certification helps for interviews?

The Solutions Architect Associate covers the breadth most interviews test. For data roles, the Data Engineer or Data Analytics specialty is more relevant, but hands-on projects matter more than the badge.

How can PrepNPlaced help me practice?

Use AI Mock Interview for role-aware technical practice and the Interview Prep hub to plan your rounds and revise the exact topics AWS interviewers ask about.

Next Step

Turn The Guide Into Practice

Use PrepNPlaced tools to turn this learning path into resume proof, targeted practice, and interview-ready explanations.

Practice AI Mock Interview