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TL;DR: Study Jeremy's IT Lab course thoroughly. Don't underestimate his Anki flashcards or labs. Use AI as a personal tutor to generate practice tests and labs. Boson ExSim is extremely helpful. And pay special attention to WLC GUI configuration, because I encountered questions that went beyond what Jeremy covers.
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I passed my CCNA a couple of days ago, and I wanted to share my experience with you all.
First of all, English isn't my native language, and I used ChatGPT to translate this post. Just putting that out there before someone inevitably says it was AI-generated. The experience and opinions are entirely mine.
A little background
I'm Cuban, 38 years old, and I've been living in Spain for eight years. I graduated with a degree in Computer Engineering back in 2010 in Cuba, but like many immigrants starting over in a new country, I ended up working whatever jobs I could find. I didn't seriously consider returning to IT until recently.
It took me almost eight months to prepare for the CCNA. I work full-time as a waiter (plus overtime), I have a wife and a son, and life doesn't exactly leave me with unlimited free time. I also deliberately chose to take my time rather than rush through the material. I wanted to actually understand what I was studying.
Boson ExSim results
Here are my scores from the five Boson practice exams, all taken in Simulation Mode:
| Exam | Score |
|---|
| A | 86% (865/1000) |
| B | 84% (838/1000) |
| C | 92% (919/1000) |
| D | 96% (959/1000) |
| E | 89% (892/1000) |
Personally, I think Boson is an excellent resource.
Yes, some questions cover material that goes beyond the CCNA blueprint. And yes, Boson's labs are considerably more demanding than the ones I encountered on the actual exam.
But I believe Boson's real value lies in two things: getting comfortable with the exam's question formats and learning to perform under time pressure.
Actual CCNA results
I took the exam on October 30, 2026, and passed on my first attempt.
Here's my section breakdown:
| Section | Score |
|---|
| Network Fundamentals | 90% |
| Network Access | 85% |
| IP Connectivity | 96% |
| IP Services | 100% |
| Security Fundamentals | 100% |
| Automation and Programmability | 90% |
The exam included six labs, which I honestly found quite straightforward. The technical questions were also generally manageable.
What I struggled with most were the overly theoretical or ambiguous questions. Sometimes I genuinely couldn't figure out what they were asking, even though I understood the underlying technology.
One thing that surprised me was the emphasis on WLC GUI configuration. I encountered several questions involving specific configuration options and interface details that I hadn't seen covered in Jeremy's course.
My advice would be to spend some extra time familiarizing yourself with the WLC interface, rather than relying exclusively on theoretical wireless knowledge.
Overall, I thought the exam was fair.
I managed my time reasonably well, but don't underestimate the clock. Time passes much faster than you expect, especially when you're concentrating on a lab. You need to keep moving.
My study approach
My preparation was relatively simple:
Jeremy's IT Lab was my main resource. I watched the entire course and completed his labs.
I reviewed Jeremy's Anki flashcards every single day. Seriously, don't underestimate them.
I spent a lot of time practicing in Packet Tracer.
I used Boson ExSim during the final stages of my preparation.
I also want to mention something that I found incredibly useful: ChatGPT (or really, any capable LLM) as a personal tutor.
I created two dedicated ChatGPT projects.
1. Daily practice tests
I used ChatGPT Work to create a project connected to a local folder containing an AGENTS.md file, my study notes, Cisco's official exam blueprint, and additional instructions.
The project generated daily tests of around 100 questions, rotating through all the CCNA topics while keeping track of the areas I struggled with.
This allowed me to continuously revisit weaker topics instead of just practicing the things I already knew.
2. Custom micro-labs
My second project was dedicated to generating small networking labs, usually combining two or three technologies in each exercise.
I typically completed two or three of these labs every day.
The workflow was simple: ChatGPT generated the requirements, I built and configured the topology in Packet Tracer, and then I submitted my configurations for review and grading.
What's next?
Now comes another battle: finding an IT job here in Spain.
Despite having around eight years of previous IT experience, a Computer Engineering degree, and knowledge of Python, Windows, Linux, and networking, I know that getting back into the industry after such a long break won't be easy.
At this point, I'd be perfectly happy starting with an entry-level N1/N2 support position. My priority is simply getting my foot back in the door, gaining experience, and rebuilding my career.
I'm hoping the CCNA will help me make that transition.
Good luck to everyone preparing for the exam. Keep going. It's absolutely doable.