Hello, this is Weekend Coding.
The mock exam questions have been renewed.
It reflects recent exam trends, and the design and format of both the questions and explanations have been completely improved.
You can download the materials from the Section Mock Exam area and try solving them yourself.
Many people requested to view the questions and explanations separately, so I have divided the files.
Please print out the problems to solve them first, and then check which parts you got wrong through the explanations.
I wish you success in passing.
Best regards, Weekend Coding.
Hello! This is Weekend Coding.
Hello!
Did you do well on your exam today?
I give a big round of applause to all of your hard work and efforts.
With the problems you helped restore today
This course will be continuously updated and improved for more people.
To those who have written comments before the restoration deadline,
I will send you discount coupons for development courses and upcoming new courses!
You did a great job today, and
Get some good rest and have a happy day.
It's closed!
Hello! This is Weekend Coding.
The entire Python section has been renewed.
We have prepared more materials, explanations, and practice problems compared to before.
The learning materials have also been updated to the newly improved Python learning materials.
I wish you success on your exam. Thank you.
Hello!
This is Weekend Coding.
We are preparing updates for the learning materials by language.
In the meantime, we are integrating the chapters for each language into a single file, as there were complaints about the inconvenience of having to download them one by one.
We are currently in the process of verifying that all typos have been corrected and all actual problems are included.
It is expected to take a few more days, and in the case of Python, both the slides and the course are scheduled to be renewed.
It will be uploaded along with the renewal videos.
Thank you.
Hello!
This is Weekend Coding.
I am rooting for all of you who are running toward passing the exam today as well.
As of the first exam in 2026, the difficulty level of Python has increased significantly,
Accordingly, I plan to update all the Python-related lectures.
The slides are currently ready, but code example validation, recording, and editing are still required.
I think it might take a few more days.
Hello~ This is Weekend Coding.
The commentary video for the 1st session of the 2026 past exam questions has been uploaded.
Starting with this video, explanations will be conducted using a dedicated web page.
I wish you all the best of luck in passing.
Hello! This is Weekend Coding.
You are working very hard to prepare for the exam.
With this round, we have established a new section for mock exams.
I created almost all of the questions myself, but
As there is not much time left before the exam period, some parts were created with the help of an LLM, so the explanations may feel awkward. We ask for your understanding.
I plan to upload an improved version of the materials in the future.
First of all, since there isn't much time left, please solve the initial version of the problems while...
I recommend that you try reviewing various codes.
As I always say, you need to know more about the code than the theory.
I wish you the best of luck on passing.
(Sessions 3–4 are scheduled to be uploaded by the evening of the 16th.)
Hello, this is Weekend Coding.
As the exam approaches, many questions are being posted on the bulletin board.
I am also doing my best to provide answers, and I plan to respond almost in real-time right before the exam.
Having taught more than 5,000 students online,
As someone who has produced successful candidates for the Information Processing Engineer practical exam through offline tutoring as well,
I would like to talk about two different learning methods.
1. Use external materials and code for reference only.
Among the Information Processing Engineer practical exam questions found online, there are many cases where the code does not even run.
In particular, some sites operated in a question bank format may have incorrect code uploaded,
In some cases, even the preprocessor notation is incorrect.
I explain all codes only after directly executing and verifying them myself.
(However, it may differ slightly from the actual exam questions. This is because I also rely on questions reconstructed by students.)
This is because I reconstruct the problems based on those restored by students, while making estimations for any parts that were incorrectly restored.
What I can say for certain is,
It maintains a much higher quality than the irresponsibly posted code found elsewhere,
The point is that there is a guarantee that at least the output values are accurate.
2. Do not trust LLMs like ChatGPT.
For a long time, there have been people pointing out that the answers or explanation methods of ChatGPT or Claude are incorrect.
I am also human, so there may be some typos in the questions.
However, you should never absolutely trust the LLM regarding output values.
The image above shows one of the past exam questions from 2025.
These are the results of entering the input into an online compiler and GPT-5.4 Thinking, respectively.
While the online compiler outputs 3 and 2,
ChatGPT outputs 2 and 3.
LLMs do not execute code directly.
Unless you explicitly request it to "run the code directly to verify," it will not execute the tool.
I have witnessed several instances where LLMs produce incorrect answers for complex recursive functions or unusual data structures.
In the process of creating lectures or answering questions, I have also experienced far too many situations where the LLM provides incorrect answers.
I am an instructor for the Information Processing Engineer practical exam, but I am also someone who develops personally.
In my daily life, I engage in agentic coding, consuming hundreds of millions of tokens using models like Claude Sonnet, Codex, and GLM-5.
Nevertheless, I do not have blind faith in LLMs.
This is because it makes mistakes far too often.
If I am wrong, I would appreciate it if you could verify it yourself and then post your question.
And there is one thing I would like to ask of you.
Never use LLM output as your primary basis for learning.
If you do that, you will get it wrong on the exam.
The Human Resources Development Service of Korea does not use ChatGPT for grading.
Additionally, if the code output varies depending on the compiler version, everyone will be marked as correct.
So don't worry, and you can write your answers with confidence at the testing center.
Surprisingly, there were many cases where everyone was marked as having the correct answer.
I hope you have a happy day today, and I am rooting for everyone to pass!
If you have the time, I would really appreciate it if you could leave a positive course review..^^
