AWS Data Engineer Interview Prep: 500+ Most asked Questions

Description

Prepare for your AWS Data Engineer interview with this comprehensive course, covering 500+ most asked interview questions and answers. This course is designed for candidates who want to strengthen their skills in AWS core services, data ingestion, processing, storage, analytics, security, and best practices. Each topic is carefully curated to help you master AWS services and understand their real-world applications. The course is structured in a way that covers all critical areas, from fundamental concepts to advanced implementations.

Course Topics Covered:

1. AWS Core Services for Data Engineering

• Amazon S3 (Simple Storage Service)

  • Object storage fundamentals and versioning

  • Data encryption, IAM roles, and bucket policies

  • S3 Event Notifications and performance optimization

• Amazon EC2 (Elastic Compute Cloud)

  • EC2 instance types, pricing models, and autoscaling

  • Load balancing, network configurations, and security groups

• AWS IAM (Identity and Access Management)

  • Roles, policies, federated access, and MFA

  • Fine-grained data access control

• Amazon VPC (Virtual Private Cloud)

  • Subnets, route tables, NACLs, and security groups

  • VPN, Direct Connect, and VPC Peering

2. Data Ingestion and Streaming

3. Data Processing

4. Data Storage

5. Data Analytics and Visualization

6. Data Security and Compliance

7. Monitoring and Optimization

• Amazon CloudWatch

  • Monitoring AWS resources, custom metrics, alarms, and logs

• AWS Cost Explorer

  • Cost optimization for services like S3, Redshift, Glue, and EMR

• AWS Trusted Advisor

8. Machine Learning & Data Pipelines

9. ETL (Extract, Transform, Load)

• AWS Data Pipeline

• AWS Step Functions

• AWS Batch

10. Architecting and Best Practices

• Data Lake Architecture on AWS

• Event-Driven Architecture

• AWS Well-Architected Framework

  • Principles for cost optimization, performance, security, and reliability

• Serverless vs Server-based Data Pipelines

  • Comparing Lambda, Glue, Batch vs EMR, EC2 for data pipelines

11. Big Data Tools and Integrations

• AWS Glue with Apache Spark

• Amazon Redshift with Apache Hudi, Delta Lake

• AWS Glue and Kafka/MSK Integration

This course is ideal for professionals seeking to master AWS Data Engineering services and confidently prepare for interviews. With over 500 practice questions, you’ll cover each key service in-depth and gain a solid understanding of how to integrate them for building scalable, efficient data pipelines and architecture