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Solution Part 3:.Final Optimisation. ✅ You can combine both patterns into a single-table design with:. PK: either USER#<user_id> or POST#<post_id>. SK: the related entity ID (using prefixes). You'd also define multiple GSIs depending on query needs, with TTL if needed for.

Solution part 2:. To support reverse lookup (post → users who liked it), you have 2 options:. Option A: Add a GSI. GSI1_PK: POST#<post_id>. GSI1_SK: USER#<user_id>. This allows efficient queries like:.Query GSI1_PK = 'POST#456' LIMIT 10.

Solution Part 1:. 🔹 Use a LikeMapping table with this schema:. PK: USER#<user_id>. SK: POST#<post_id>. This allows querying all posts liked by a user using a simple Query on the partition key. Query PK = 'USER#123' LIMIT 10.Fast, efficient, and low-cost read for user → posts.

🚀 DynamoDB Interview Challenge (Many-to-Many Relationship - Real World Case).You’re building a social app where users can like multiple posts, and each post can be liked by many users. 👉 How would you design your DynamoDB tables to support:.Fetch all posts liked by a user.Fetch.

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solution contd 3:.💡 Bonus: If you expect many comments per user, consider:. Using timestamp+UUID as sort key to avoid collisions. Adding a Global Secondary Index (GSI) if filtering by article is also needed. TTL for auto-expiring old comments (optional).

Solution Contd 2. 📥 To get the 5 latest comments for a user:. response = table.query(. KeyConditionExpression=Key('user_id').eq('abc123'),. ScanIndexForward=False, # descending order. Limit=5.).This fetches the latest entries efficiently, no need for full scans. Fast.

✅ Solution (Table Design):.Use a composite primary key:.Partition Key: user_id. Sort Key: comment_timestamp (ISO8601 or epoch). This allows us to query by user and sort by timestamp.

🚀 DynamoDB Interview Challenge (High-Frequency Access Pattern):.You have a DynamoDB table with user_id as the partition key. Users can post comments on articles, and each comment has a timestamp. 👉 How would you design the table to efficiently fetch the 5 most recent comments.

🚀 DynamoDB Interview Question (Real-World Scenario):.You have a DynamoDB table with user_id as the partition key and activity_type (e.g., login, purchase, logout) as an attribute. 👉 How do you efficiently count the number of “purchase” activities per user in the past 7 days?.

Solution will be posted soon, stay tuned.

🚀 DynamoDB Interview Challenge:.You have a table with user_id as the partition key. 👉 How do you fetch the latest login per user, with multiple logins per day?. 🧠 Master DynamoDB design patterns, indexes, and access strategies:.🎓 [New Premium Course] →.