CoderRange - AI , Big data , Data Science !.

### Real Questions from Google, Microsoft, Apple — Decoded for 2–4 Yrs Developers

👨‍💻 Are system design interviews making you nervous?
🏗️ Struggling to explain architecture when you’ve never built large systems?
🔥 Want to prepare like a pro — without drowning in theory?
This FREE live meetup is built just for you!

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### 🎯 What You’ll Learn (From Real MNC Interviews):

🔹 How to design a Scalable URL Shortener (Google-style)
🔹 Build a Notification Service like WhatsApp/Web Push (Microsoft-style)
🔹 Architecture of Apple iCloud File Sync System
🔹 Design a Rate Limiter with Redis (Backend Infra Round)
🔹 Interviewer Expectations — What to say, what not to say

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### 💡 Why This Meetup is Different

✅ No boring lectures — Hands-on walkthroughs
✅ Real questions from real MNC interviews
✅ Learn how 2–4 year devs can confidently explain high-level architecture
✅ Resume + LinkedIn-ready talking points
✅ Mock Interview Feedback for 5 selected attendees

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### 📦 Bonus Content:

• Live whiteboarding session
• Free PDF: "Top 10 System Design Questions for 2025"
• Networking Room with 1000+ fellow engineers
• Certificate of Participation

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### 🧠 Who Should Attend?

• Developers with 2–4 years experience
• Preparing for interviews at FAANG, top startups, or product MNCs
• Anyone who has heard of “Scalability, Load Balancer, Cache” but never applied it

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### 🗓 Date: July 5th

### 📍 Location: [Zoom ]

## 🧠 Agenda:

### 1. Coding Challenge: SQL Query Optimization (25 mins)

• Objective: Optimize a complex SQL query to improve performance on large datasets.
• Key Concepts: Indexing, subqueries, joins, and execution plans.
• Discussion Points:
• Identifying bottlenecks in SQL queries.
• Strategies for optimizing query performance.
• Understanding the impact of indexing on query execution.

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### 2. Face-to-Face Interview Simulation: Data Cleaning and Transformation (45 mins)

• Scenario: You're provided with a messy dataset containing missing values, duplicates, and inconsistent formatting.
• Tasks:
• Clean and transform the dataset using Python (Pandas).
• Discuss the steps taken to prepare the data for analysis.
• Key Concepts: Data wrangling, handling missing data, data normalization.

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### 3. System Design Session: Designing a Data Pipeline for Real-Time Analytics (20 mins)

• Objective: Architect a scalable data pipeline to process and analyze streaming data in real-time.
• Discussion Points:
• Choosing appropriate tools and technologies (e.g., Kafka, Spark Streaming).
• Ensuring data consistency and reliability.
• Handling data storage and retrieval for real-time analytics.

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### 4. Real-World Product Issue: Handling Data Anomalies in Production (25 mins)

• Scenario: Your production data pipeline detects anomalies in incoming data streams.
• Tasks:
• Implement anomaly detection techniques.
• Design a monitoring system to alert stakeholders.
• Propose strategies to handle and mitigate data anomalies.
• Key Concepts: Anomaly detection, monitoring, alerting systems.

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### 5. Q&A and Interactive Discussion (15 mins)

• Open floor for attendees to ask questions, share experiences, and discuss challenges faced during interviews or in real-world data analytics projects.

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Join Zoom Meeting

## 🧠 Agenda:

### 1. Coding Challenge: Automate Deployment with Ansible (25 mins)

• Objective: Write an Ansible playbook to automate the deployment of a web application across multiple environments.
• Key Concepts: Infrastructure as Code (IaC), configuration management, idempotency.
• Discussion Points:
• Handling environment-specific variables.
• Ensuring idempotent operations.
• Integrating with CI/CD pipelines.

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### 2. Face-to-Face Interview Simulation: Debugging CI/CD Pipeline Failures (25 mins)

• Scenario: You're presented with a failing CI/CD pipeline in Jenkins that halts during the testing phase.
• Tasks:
• Identify and resolve the root cause of the failure.
• Discuss strategies to prevent similar issues in the future.
• Key Concepts: Continuous Integration/Continuous Deployment (CI/CD), pipeline as code, test automation.

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### 3. System Design Session: Designing a Scalable Logging Infrastructure (25 mins)

• Objective: Architect a centralized logging system capable of handling logs from thousands of microservices.
• Discussion Points:
• Choosing appropriate logging tools (e.g., ELK stack, Fluentd).
• Ensuring high availability and scalability.
• Implementing log aggregation and analysis.

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### 4. Real-World Product Issue: Handling Deployment Rollbacks (25 mins)

• Scenario: A recent deployment introduced critical bugs into the production environment.
• Tasks:
• Implement a rollback strategy to restore the previous stable state.
• Discuss monitoring and alerting mechanisms to detect such issues promptly.
• Key Concepts: Blue-green deployments, canary releases, monitoring and alerting, incident response

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### 5. Q&A and Interactive Discussion (30 mins)

• Open floor for attendees to ask questions, share experiences, and discuss challenges faced during interviews or in real-world DevOps projects.

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Join Zoom Meeting