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    <title>DEV Community: Arpit Godghate</title>
    <description>The latest articles on DEV Community by Arpit Godghate (@irishcheezecake).</description>
    <link>https://dev.to/irishcheezecake</link>
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      <title>DEV Community: Arpit Godghate</title>
      <link>https://dev.to/irishcheezecake</link>
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      <title>I Built a 20-Hour DBMS Interview Prep System Using LLMs — Does It Actually Work?</title>
      <dc:creator>Arpit Godghate</dc:creator>
      <pubDate>Fri, 10 Apr 2026 11:49:57 +0000</pubDate>
      <link>https://dev.to/irishcheezecake/i-built-a-20-hour-dbms-interview-prep-system-using-llms-does-it-actually-work-3bm6</link>
      <guid>https://dev.to/irishcheezecake/i-built-a-20-hour-dbms-interview-prep-system-using-llms-does-it-actually-work-3bm6</guid>
      <description>&lt;p&gt;I used LLMs to build a complete DBMS interview prep system. Here's exactly how - and I want your honest feedback.&lt;/p&gt;

&lt;p&gt;Instead of randomly Googling "DBMS interview questions", I ran an experiment using LLMs as my study partner. The results surprised me.&lt;/p&gt;

&lt;p&gt;Step 1: Curate the right questions&lt;br&gt;
I asked the LLM: "What are the most frequently asked DBMS questions in senior backend interviews?", not once, but iteratively. I cross-referenced across difficulty levels, topics, and interview formats until I had a distilled list of 100 questions spanning 10 modules - from basics like normalisation all the way to replication, sharding, and MVCC.&lt;/p&gt;

&lt;p&gt;Step 2: Find the minimal set of resources&lt;br&gt;
Here's where it got interesting. I gave the LLM my 100 questions and asked: "What is the smallest set of resources that covers all of these with zero overlap?" It mapped every question to exactly 3 resources:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;InterviewBit DBMS/SQL articles (free) - for fundamentals + SQL practice&lt;/li&gt;
&lt;li&gt;DDIA by Martin Kleppmann (only 5 specific chapters) - for the deep "why" behind transactions, indexing, replication, and storage&lt;/li&gt;
&lt;li&gt;LeetCode Top SQL 50 - for hands-on query practice&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;Total estimated time: ~20 hours. No fluff, no 40-hour courses.&lt;/p&gt;

&lt;p&gt;Step 3: Interview-style learning&lt;br&gt;
This was the game-changer. After studying, I asked the LLM to act as an interviewer:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;It asked me each question one by one&lt;/li&gt;
&lt;li&gt;I answered as if I were in a real interview&lt;/li&gt;
&lt;li&gt;It evaluated my response - not just for correctness, but for what a recruiter at a senior level would actually want to hear (trade-offs, real-world examples, depth vs. rambling)&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;This feedback loop forced me to articulate answers clearly instead of just "knowing" the concept in my head.&lt;/p&gt;

&lt;p&gt;Why I'm sharing this:&lt;br&gt;
I genuinely don't know if this approach is better or worse than traditional prep. It felt efficient, but I want to pressure-test it with people who've been on the other side of the table.&lt;/p&gt;

&lt;p&gt;A few specific questions for you:&lt;/p&gt;

&lt;ol&gt;
&lt;li&gt;If you've interviewed candidates, does this kind of structured prep actually show in interviews, or does it come across as rehearsed?&lt;/li&gt;
&lt;li&gt;Are there blind spots in using an LLM as both curriculum designer and mock interviewer?&lt;/li&gt;
&lt;li&gt;What would you add or change to this method?&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;I'll share the full 100-question study guide with the 7-day plan in the comments if anyone wants it.&lt;/p&gt;

&lt;p&gt;Would love to hear what's worked (or not worked) for you.&lt;/p&gt;

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      <category>interview</category>
      <category>database</category>
      <category>backend</category>
      <category>ai</category>
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