2024 SQLD exam schedule and study guide by Michael Park. Learn about data modeling, SQL basics, and query optimization for the Korea Data Agency certification.
SQL is the fundamental language of data analysis, acting as the bridge between raw data and actionable insights. As a data analyst with five years of experience, I have found that the National Certified SQL Developer (SQLD) qualification is one of the most effective ways to validate your technical proficiency in relational databases (RDBMS). This certification, managed by the Korea Data Agency, focuses on data modeling and the practical application of SQL, providing a structured roadmap for both majors and non-majors to enter the field of data science. In my experience, preparing for this exam does not just help you get a certificate; it fundamentally changes how you approach data architecture and query optimization.
Understanding the exam structure and the 2024 schedule is the first step toward building a data-driven career. Whether you are currently working with Excel and looking to transition to more robust tools like Python and SQL, or you are a student aiming to boost your resume, the SQLD certification offers a comprehensive curriculum that covers everything from entity-relationship diagrams (ERD) to advanced window functions. In this guide, I will break down the essential exam details, core subjects, and practical study strategies that helped me and many of my colleagues succeed.
The SQLD exam is typically held four times a year, providing multiple opportunities for candidates to plan their studies. Registration periods usually last for five days, and it is crucial to monitor the official portal closely as popular testing centers in major cities tend to fill up within the first few hours of opening.
Based on the official schedule provided by the Korea Data Agency, the exams are spaced out quarterly. I found that a 6-week preparation window is usually sufficient for most candidates. Below are the key specifications for the examination process that every applicant should know before signing up.
| Exam Metric | Requirement or Detail |
|---|---|
| Organizing Body | Korea Data Agency (KDA) |
| Application Fee | 50,000 KRW |
| Passing Criteria | Total score of 60+ (Minimum 40% per subject to avoid disqualification) |
| Exam Format | CBT (Computer Based Testing) or PBT depending on the session |
| Validity Period | Permanent (after attending a mandatory supplementary training after 2 years) |
The SQLD curriculum is divided into two primary domains: "Understanding Data Modeling" and "SQL Basics and Application." The first subject focuses on the theoretical foundation of databases, while the second tests your ability to write and interpret complex queries in a real-world context.
In the first subject, you will encounter concepts like data normalization, relationships, and the creation of an Entity Relationship Diagram (ERD). I often tell my students that this is the most underrated part of the exam. Understanding how a database schema is designed is what separates a junior analyst from a senior one. If the data modeling is flawed, even the most optimized query will fail to deliver accurate results. The second subject covers the meat of the exam: DDL (Data Definition Language), DML (Data Manipulation Language), DCL (Data Control Language), and TCL (Transaction Control Language).
Advanced query techniques like Joins, Subqueries, and Window Functions represent the most challenging yet rewarding part of the SQLD exam. These tools allow you to perform complex data aggregations and analytical calculations directly within the database layer, which is significantly more efficient than processing data in Excel or Python after extraction.
During my preparation, I spent a lot of time practicing set operators (UNION, INTERSECT, EXCEPT) and hierarchical queries. For those aiming for the higher-level SQLP (SQL Professional) certification later, mastering these basics is non-negotiable. You should also pay close attention to group functions and window functions like RANK() or SUM() OVER(), as these are frequently tested in the practical problem sections. Using the "Yellow Book" (officially titled SQL Qualification Practical Problems) is a common strategy here, as it contains questions that closely mimic the actual exam difficulty.
Acquiring a national certification like SQLD serves as a powerful signal to recruiters that you possess the technical rigor required for professional data analysis. Beyond the title, the process of studying for the exam forces you to learn the standardized syntax used across various RDBMS platforms like Oracle, MySQL, and SQL Server.
"The examination schedule may be subject to change or separate designation in the event of unavoidable circumstances such as natural disasters or the spread of infectious diseases." — Korea Data Agency Official Notice
Once you have submitted your application, you must pay the examination fee within 2 hours. If the payment is not completed within this timeframe, your registration will be automatically canceled, and you may lose your spot at your preferred testing center.
No, the Korea Data Agency does not operate an exam postponement system. If you cannot attend on your scheduled date, you must cancel your registration and apply for a different session during its respective registration period.
You can only change your testing venue during the official registration period. Once the registration window has closed, no further changes to the location can be made, even if there are empty seats at other centers.
The path to becoming a proficient data analyst involves more than just passing a test, but the SQLD certification provides the essential framework needed to succeed. By focusing on data modeling and mastering the nuances of SQL syntax, you build a foundation that supports more advanced analytics and machine learning workflows. My advice is to start with the theory of ERDs and then move into heavy query practice using real-world datasets. This approach ensures that you don't just memorize answers but actually understand how to manipulate data to find insights. Good luck with your 2024 exam goals!
Michael Park
5-year data analyst with hands-on experience from Excel to Python and SQL.