Architect, Big Data & Enterprise Data Warehouse (Global) | Ex - Databricks | Co - Founder, Databricks Community | Open Source Developer | Adjunct Faculty | Healthcare | B1 Visa Holder | Open to H1B Sponsorship
🚀 𝗖𝗿𝗮𝗰𝗸𝗶𝗻𝗴 𝗬𝗼𝘂𝗿 𝗡𝗲𝘅𝘁 𝗧𝗲𝗰𝗵 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝘄𝗶𝘁𝗵 𝗔𝗪𝗦! 🚀 If you’re prepping for your dream job and want to ace those cloud-related interview questions, this post is for you. 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗔𝗺𝗮𝘇𝗼𝗻 𝗘𝗖𝟮? 🤔 Amazon Elastic Compute Cloud (EC2) is a web service that provides resizable compute capacity in the cloud. Simply put, it’s like having your own virtual computer. 𝗘𝘃𝗲𝗿𝘆 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝗲𝗿 𝗪𝗶𝗹𝗹 𝗔𝘀𝗸 𝗔𝗯𝗼𝘂𝘁: 1️⃣ 𝗜𝗻𝘀𝘁𝗮𝗻𝗰𝗲 𝗧𝘆𝗽𝗲𝘀: EC2 offers different types of instances tailored to various use cases (e.g., general-purpose, compute-optimized, memory-optimized). 2️⃣ 𝗔𝘂𝘁𝗼 𝗦𝗰𝗮𝗹𝗶𝗻𝗴: Ensures your application scales automatically to handle traffic fluctuations. Why It’s Important: Be ready to discuss how Auto Scaling saves costs and maintains performance. 3️⃣ 𝗘𝗹𝗮𝘀𝘁𝗶𝗰 𝗟𝗼𝗮𝗱 𝗕𝗮𝗹𝗮𝗻𝗰𝗶𝗻𝗴 (𝗘𝗟𝗕): Distributes incoming application traffic across multiple EC2 instances. Interview Edge: Explain the benefits of ELB in enhancing fault tolerance and availability. 4️⃣ 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗚𝗿𝗼𝘂𝗽𝘀: These act as virtual firewalls, controlling inbound and outbound traffic for your instances. What to Know: Be prepared to talk about how security groups differ from network ACLs. 5️⃣ 𝗦𝗽𝗼𝘁 𝗜𝗻𝘀𝘁𝗮𝗻𝗰𝗲𝘀 & 𝗣𝗿𝗶𝗰𝗶𝗻𝗴 𝗠𝗼𝗱𝗲𝗹𝘀: EC2 offers different pricing models, like On-Demand, Reserved, and Spot Instances. Cost-Optimization Tip: Discuss when to use Spot Instances to save up to 90% on costs. 𝟭𝟬 𝗠𝘂𝘀𝘁-𝗣𝗿𝗲𝗽𝗮𝗿𝗲 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝗳𝗼𝗿 𝗘𝗖𝟮 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝘀: 1. What is Amazon EC2, and how does it work? 2. What are the different types of EC2 instances, and when would you use each type? 3. How does Auto Scaling work in EC2, and why is it important? 4. What are security groups in EC2, and how do they differ from network ACLs? 5. Explain the different pricing models for EC2 (On-Demand, Reserved, Spot, and Dedicated Instances). 6. What is an AMI (Amazon Machine Image), and how is it used in EC2? 7. What are the benefits of using Elastic Load Balancing (ELB) with EC2 instances? 8. What is the difference between EBS (Elastic Block Store) and instance store volumes? 9. How do you secure an EC2 instance? 10. How would you handle instance failure in a highly available setup? 💡 𝗦𝗮𝘃𝗲 𝘁𝗵𝗶𝘀 𝗽𝗼𝘀𝘁 𝗳𝗼𝗿 𝘆𝗼𝘂𝗿 𝗶𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗽𝗿𝗲𝗽 𝗮𝗻𝗱 𝗿𝗲𝘃𝗶𝘀𝗶𝘁 𝗶𝘁 𝘄𝗵𝗲𝗻 𝘆𝗼𝘂 𝗻𝗲𝗲𝗱 𝗮 𝗾𝘂𝗶𝗰𝗸 𝗔𝗪𝗦 𝗿𝗲𝗳𝗿𝗲𝘀𝗵𝗲𝗿. ✨ 𝗪𝗮𝗻𝘁 𝗺𝗼𝗿𝗲? 𝗜'𝘃𝗲 𝗽𝗿𝗲𝗽𝗮𝗿𝗲𝗱 𝗮 𝗱𝗲𝘁𝗮𝗶𝗹𝗲𝗱 𝗤&𝗔 𝗴𝘂𝗶𝗱𝗲 𝘄𝗶𝘁𝗵 𝘄𝗲𝗹𝗹-𝗰𝗿𝗮𝗳𝘁𝗲𝗱 𝗮𝗻𝘀𝘄𝗲𝗿𝘀 𝘁𝗼 𝗮𝗹𝗹 𝘁𝗵𝗲𝘀𝗲 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂 𝗰𝗿𝗮𝗰𝗸 𝘆𝗼𝘂𝗿 𝗶𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝘄𝗶𝘁𝗵 𝗰𝗼𝗻𝗳𝗶𝗱𝗲𝗻𝗰𝗲. 𝗖𝗼𝗺𝗺𝗲𝗻𝘁 𝗯𝗲𝗹𝗼𝘄 𝗶𝗳 𝘆𝗼𝘂’𝗿𝗲 𝗶𝗻𝘁𝗲𝗿𝗲𝘀𝘁𝗲𝗱 𝗶𝗻 𝗴𝗲𝘁𝘁𝗶𝗻𝗴 𝘁𝗵𝗲 𝗻𝗼𝘁𝗲𝘀!
Architect, Big Data & Enterprise Data Warehouse (Global) | Ex - Databricks | Co - Founder, Databricks Community | Open Source Developer | Adjunct Faculty | Healthcare | B1 Visa Holder | Open to H1B Sponsorship
🌍 𝗥𝗲𝗮𝗱𝘆 𝘁𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝘁𝗵𝗲 𝗕𝗶𝗴 𝟯 𝗶𝗻 𝗖𝗹𝗼𝘂𝗱? 𝗔𝗪𝗦, 𝗔𝘇𝘂𝗿𝗲, 𝗮𝗻𝗱 𝗚𝗖𝗣! 🌍 The cloud computing field is booming, and mastering AWS, Azure, and GCP can open doors to limitless opportunities! Here’s a roadmap packed with core topics to help you stand out in any cloud interview, inspire your growth, and lead you to cloud mastery. ✨ 𝗔𝗪𝗦 – 𝗔𝗺𝗮𝘇𝗼𝗻 𝗪𝗲𝗯 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 : 𝗧𝗵𝗲 𝗹𝗮𝗿𝗴𝗲𝘀𝘁 𝗴𝗹𝗼𝗯𝗮𝗹 𝗽𝗿𝗼𝘃𝗶𝗱𝗲𝗿. Here’s what you need to cover: 𝗖𝗼𝗺𝗽𝘂𝘁𝗲: EC2, Lambda, Elastic Beanstalk 𝗦𝘁𝗼𝗿𝗮𝗴𝗲: S3, EBS, Glacier 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝗶𝗻𝗴: VPC, Route 53, Load Balancing 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: RDS, DynamoDB, Redshift 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆: IAM, Cognito, Security Groups 𝗦𝗲𝗿𝘃𝗲𝗿𝗹𝗲𝘀𝘀: Lambda, API Gateway 𝗖𝗼𝘀𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: AWS Cost Explorer ✨ 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗔𝘇𝘂𝗿𝗲 : 𝗜𝗱𝗲𝗮𝗹 𝗳𝗼𝗿 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲𝘀, 𝗲𝘀𝗽𝗲𝗰𝗶𝗮𝗹𝗹𝘆 𝘁𝗵𝗼𝘀𝗲 𝘂𝘀𝗶𝗻𝗴 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝘁𝗼𝗼𝗹𝘀: 𝗖𝗼𝗺𝗽𝘂𝘁𝗲: Azure VMs, Kubernetes (AKS) 𝗦𝘁𝗼𝗿𝗮𝗴𝗲: Blob, Disk, File Storage 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝗶𝗻𝗴: Virtual Networks, Application Gateway 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: SQL Database, Cosmos DB 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆: Azure AD, RBAC 𝗦𝗲𝗿𝘃𝗲𝗿𝗹𝗲𝘀𝘀: Azure Functions, Event Grid 𝗗𝗲𝘃𝗢𝗽𝘀: Azure DevOps, GitHub Actions ✨ 𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗹𝗼𝘂𝗱 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 (𝗚𝗖𝗣): 𝗞𝗻𝗼𝘄𝗻 𝗳𝗼𝗿 𝗶𝘁𝘀 𝘀𝘁𝗿𝗼𝗻𝗴 𝗱𝗮𝘁𝗮 𝗮𝗻𝗱 𝗔𝗜 𝗰𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀: 𝗖𝗼𝗺𝗽𝘂𝘁𝗲: Compute Engine, App Engine, GKE 𝗦𝘁𝗼𝗿𝗮𝗴𝗲: Cloud Storage, Persistent Disks 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝗶𝗻𝗴: VPC, Load Balancing 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: Cloud SQL, Bigtable, Firestore 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆: Cloud IAM, Key Management 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗔𝗜: BigQuery, Vertex AI 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗧𝗼𝗼𝗹𝘀: Cloud Build, Artifact Registry 🌠 𝗥𝗲𝗮𝗱𝘆 𝘁𝗼 𝗧𝗮𝗸𝗲 𝗢𝗳𝗳? 1️⃣ Start with one provider, dive into hands-on projects, and practice relentlessly. 2️⃣ Stay updated: Cloud is always evolving. Follow announcements, certification guides, and build real-world solutions. 3️⃣ Connect with the community – share your journey, ask questions, and support fellow learners! Let’s inspire each other to push boundaries and make our mark in the cloud! ☁️🚀 #CloudComputing #AWS #Azure #GCP #CareerGrowth #TechSkills #LinkedInLearning #CareerTransformation
Great post and super helpful overview of EC2 essentials for interviews 👍 Deep diving into specific use cases and real-world examples can also make your answers stand out and show practical knowledge.