From Zero to CKA Exam: How to prepare for your CKA Certification Exam starting from zero

Docker

Kubernetes

CKA

My CKA Exam Tips:

  1. Practice, practice, practice. Oh, did I mention practice? This is a hands-on exam. There are no multiple choice questions, so in the end, your exam is going to be evaluated if it does what the question asked or not.
  2. Come up with your set of aliases, but don’t overdo it.
  3. Practice your aliases, practice the full commands as well. If you have some issue with the internet connection, your terminal might restart and your aliases are no longer there.
  4. Keep calm during the exam. I faced some technical issues, but every time I was able to start where I left off.
  5. This is only for my case, as other people have had different experiences, the time limit (2 hours) was quite enough.
  6. Read the questions very carefully, and be careful to create the resources with accurate names or properties. If you make a typo, that might cost you the question points.
  7. Practice both imperative and declarative commands. Some resources or properties cannot be defined via imperative command, so you will need to write the yaml (or json) definition file.
  8. Bookmarks are fine, so make use of them. But make sure to have the bookmarks in the same browser you are going to take the exam on, or have them in all the browsers.
  9. Here are my aliases that I used in the exam:

PRO Tips:

  1. My strategy was to prepare at my best, but then just take the first try. If I pass great, if not I know what to focus on for the free retake. I passed on the first try, so 🎉🎊🍾.
  2. As far as I remember in the Udemy course, there might also be a discount code on the exam fee. If you decide to get the course, make sure to check for the discount code before you register for the exam.
  3. You can use multiple screens during the exam. If you have your laptop and your external screen, you can actually use both during the exam.

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Machine Learning Engineer @ data-max.io

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Bujar Bakiu

Bujar Bakiu

Machine Learning Engineer @ data-max.io

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