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This is a basic but important SQL interview question. Difference between INSERT and UPDATE in SQL? ⸻ 1️⃣ INSERT Used to add new rows into a table. Example: INSERT INTO users (id, name) VALUES (1
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This is a very practical GenAI engineering question. What’s the best way to save Claude tokens? 1️⃣ Reduce unnecessary context Don’t send full chat history every time. Keep only relevant messages.
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This is a classic SQL trap question. Why is IS NULL required instead of = NULL? ⸻ 1️⃣ NULL is not a value In SQL, NULL means unknown / missing data. So you cannot compare it like a normal value. 2
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Why is deleting rows slower than TRUNCATE? ⸻ 1️⃣ DELETE works row by row When you run: DELETE FROM table; Database removes each row individually and updates indexes for every row. 👉 More rows = m
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This is a classic interview question every developer should know. What happens when you hit a URL? 1️⃣ DNS resolution Browser converts the domain (e.g., google.com) into an IP address. ⸻ 2️⃣ TCP c
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This is a very important system design question. How do you reduce P99 latency? 1️⃣ Find the slowest component first Measure where time is spent — DB, network, external APIs, or code. ⸻ 2️⃣ Add ca
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P50, P95, P99 — these 3 numbers tell you how your system actually performs under real traffic. Most devs only look at averages and get fooled. Don’t be that dev. 👇 P50 (Median) → 50% of your users g
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This is a very important performance interview question. Why is P99 more important than average latency? 1️⃣ Average hides real problems If most requests are fast but a few are very slow, average st
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This is a modern GenAI + backend interview question. Both MCP and REST are used to connect with third-party systems — what’s the difference? ⸻ 1️⃣ REST = Request–Response API Traditional way to co
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Most developers use AWS S3… but very few actually understand how powerful it is 🤯 Think of S3 as your infinite cloud storage ☁️ ⚡ Store any amount of data ⚡ Highly durable (11 nines 🔥) ⚡ Pay
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Most engineers use Kafka… but very few actually understand it 🤯 Let’s break it down in the simplest way 👇 ⚡ Kafka = Real-time data pipeline ⚡ Handles MILLIONS of events/sec ⚡ Used for analytic
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Best way to do this? Use GROUP BY + ORDER BY + LIMIT ******************************** SELECT city, SUM(total_spent) AS revenue FROM customers GROUP BY city ORDER BY revenue DESC LIMIT 3; ***********
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About @codemeetstech

Arun Garg | Code Meets Tech is a verified Instagram nano influencer. With 6.6K followers and 12 posts, codemeetstech's account shows a follower-to-following ratio of 2190.3:1. View all content anonymously on Pictame - no login required.

codemeetstech's engagement rate sits at 1.08%. For accounts with 1K-10K followers, the average is around 5%, so there's some room to grow — though every community is unique.

Out of the last 12 posts, 92% are videos and 8% are photos. Notably, videos tend to get 4.8x more engagement than photos. New posts appear roughly every 3 days — a steady, reliable rhythm. Captions lean detailed, averaging 942 characters.

1.08% engagement rate — room to grow compared to average for 1K-10K follower accounts.
92% videos, 8% photos. Videos get 4.8x more engagement here.
New content every 3 days — a steady rhythm.
2190.3:1 follower-to-following ratio.

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codemeetstech
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@codemeetstech

Arun Garg | Code Meets Tech

Public
Posts
12
Top Hashtags
#TechExplained#BackendEngineering#SystemDesign#SQL#Databases#Scalability#Performance#GenerativeAI

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Popular Hashtags

#ootd#motivation#friends#fun#like4like#me#makeup#selfie#foryou#handmade#likeforlikes#lifestyle
Followers
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Avg. Likes
70
Avg. Comments
1
Engagement
1.08%

Software Engineer @americanexpress Coding • AI • Tech 👨‍💻 Complex tech, explained simply!

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