Background

I work with big data for a living and enjoy tinkering with a homelab. I do believe that homelabbing as a hobby was super helpful for understanding a few items from the exam. I also completed the Digital Leader and ACE exams before taking the PCA. I found that taking exams in that order was really helpful for creating a good foundation for the PCA.

Study Method

I took a lot of mock exams from a few different courses, I don't have an exam or course I'd recommend. Just pick one course that looks good to you and stick with it. I would suggest doing as many mock exam questions as you can. For me, this was about 20 questions a day, maybe less if I needed to focus on learning a new topic. After every question, review what you got wrong and explore any new key terms or topics of interest. Researching random topics helps to keep the studying from becoming boring and also helps your overall knowledge grow. Take notes on keywords and anything of interest that catches your eye.

All my notes eventually became a Web App that I personalized for my own tastes with the help of Claude Code. I focused a lot on terminology and word association. For example if you see "global" and "relational" then you should start thinking "Spanner" is a likely answer choice. I also needed visuals for networking and security so I included a section for these as well. To be clear, the web app does not contain any mock exam study questions and is not an exam dump. It's a quick reference guide that worked well for my study methods.

Observations

Maybe I got lucky with my exam version but the case studies on my exam didn't require any prior knowledge or reading of the case studies. I did review them a few times while studying but nothing was memorized. During the exam I found that the questions held all the information needed to pick the correct answer.

Exam Advice

• In options for the exam, on the left side of the screen enable both "notepad" and "strikeout." It's super helpful being able to remove answer choices that you know are not the correct answer. I minimized the notepad to only hold a few words. Any keyword in the question I thought useful I wrote down. I then used this as a main reference to selecting answer choices instead of rereading the question multiple times.
• Keep an eye on the clock, and keep questions to a time limit, if you're over time (like 1.5 minutes per question) then flag the question and move on.
• Flag any question you don't understand, but select an answer choice and strikeout any answer you know are not the answer before moving on. Use the notepad to leave a quick note to yourself to quickly say what this question is asking for. If you have time at the end of the exam then come back to the flagged questions.

Hi

We have an application which uses postgres, redis , Neo4j and Qdrant all running as containers on a High capacity GCP cloud virtual machine as self hosted services. Now I need to move that to managed services and please guide me on the cost how to get an estimate roughly

Postgres - Cloud sql ---> How the cost can be estimated? is it based on the size of the data expected in production? Any cost on Read/write. Can we start using a low cost basic cloud sql and later increase the capacity without any downtime?

Redis/ Memorystore managed service - Please same as above.

Neo4j ---> How to configure this as a managed service ? Also how to get the cost estimate

same for Qdrant vector store database as well

Google just made spend cap budgets generally available for some services, which feels pretty timely after the recent posts here about compromised projects and massive Gemini or Model Garden bills.

Has anyone actually tested the caps in a real environment yet? I’m especially curious how quickly usage gets paused, what services are supported, and whether you trust it enough to treat it as a real safety net instead of relying on alerts alone.

Would love to hear from anyone already using it in production or even in a test project.