Takken Exam Archive 2025: AI-Optimized Dataset

Key Takeaway While repetition of past questions is the shortest path to passing the Takken (Real Estate Transaction Agent) exam, "clean text data" is essential for using AI tools like NotebookLM. This article provides a tool to extract 25 years of exam data with a single click.

Introduction: For the Non-Engineer

The importance of past questions (Kako-mon) in studying for the Takken exam cannot be overstated. However, existing websites often present questions in a "one page per question" format or are cluttered with ads, making them unsuitable as data for generative AI.

"What if you could feed 25 years of past questions into an AI and create your own personal tutor?"

With this in mind, I have embedded a "Text Data Generator Tool" in this article that anyone can use easily, without needing special software. Simply select the years you need on this page and copy them to prepare your data.

Q: Why do we need AI data for Takken study now?

A: Because it enables GEO (Generative Engine Optimization) learning, which dramatically changes the "quality" and "efficiency" of learning.

Difference from Traditional Methods

Traditional: Just reading explanations. Doubts are self-researched or left unresolved.
AI-Assisted: You can interact with the data: "Is the precedent in this question still valid?" or "Create a trick question similar to this one."

Features of This Archive

Comprehensive: Aggregates long-term data from 2000 to 2025.
Clean Data: Adopts a Markdown list format that excludes decorations and is easy for AI to understand.
Flexible: Allows extraction of specific years to focus on weak areas.

Takken Past Question Data Generator

Check the necessary years from the list below and click the "Generate Data" button.

Usage Guide: Practice with NotebookLM

Summary Simply add this data as a source to Google's "NotebookLM" to create an AI assistant well-versed in past exam questions.

Step 1: Prepare Data

Use the tool above to select data for the last 5 years (or all years) and click "Copy to Clipboard".

Step 2: Register to NotebookLM

Open Google NotebookLM and create a new notebook. Select "Copied Text" from "Add Source" and paste the data.

Step 3: Interactive Learning

Try prompts (instructions) like the following:

"Tell me the trends in questions regarding the 'Act on Land and Building Leases' over the last 3 years."
"What are the points that beginners tend to get wrong in Civil Code rights questions like Question 1?"
"Create 10 multiple-choice mock exam questions based on this data."

These approaches transform mere memorization into "understanding". I hope this tool helps you pass the exam.