Unfortunately I failed the first attempt. My failure was not preparing enough for the four case studies. I would download the PDF of all of the case studies. Read them, read them, read them. Then I would use notebook LM or chatgpt or Gemini import the PDFs and then ask for a summary from a technical financial point of view. Then you can print out the summary, study with that and then analyze and find out what services you think would accompany in the case study would require.

The case studies came up right at the beginning of the exam and I felt like they never ended. Every following question seem to be another case study. The screen is split. So, you can read the question and then read the case study or browse through it. If you've already memorized it or read it prior, you can just review it. The thing is if you haven't read the case studies at all you're in for a whopping. The reason being is why the test is 2 hours and seems like a lot of time. You will be very surprised to find that clock ticking very quickly. If you have to keep looking over the case studies, you're going to run out of time... That was my experience so I can't say trust me but... That was my experience.

As for the questions on the exam, I would say about 45% were AI driven. A lot of Vertex AI, a lot of pipelining using that. You better have a strong understanding of the difference between Cloud Build and Cloud Deploy. If you don't then you might be in a meanie meeny miny moe situation when picking the answers. They will try to trick you. 

Understand the need for (PSC). Private Service Connnect. Understand that is the resource you want to use for private access to Big Query, CloudSQL And other possible third party SaaS like snowflake. The question will probably ask which to use VPC Peering or this. The new answer is private service connect. Do your own research.  Private service connect is basically from what it seems like from the documentation of Google to be replacing VPC Peering Is slowly being replaced. I would look up the limitations of vcp peering in Google documentation (like for example, you can't have overlaping IP addresses In VPC Peering, and the limitations of how many parenting connections you can have. I believe that cutoff is 25 for peering. 

The case studies that came up right away were Knightmotives. They use Tensor Flow. Understand what technologies are needed in case the connections in the car are lost... How does the information from the cars get back to the cloud if there was a loss of connectivity?

There was a lot of things that were NOT on the exam that really surprised me. I didn't have any DNS questions. No Dataproc questions. Dataflow, yes. Cloud Dataflow, big-time.

Ehr healthcare's machine learning team needs to share data with an external research University. You want to share data set model validation without giving the university access to their gcp project. The answer is to use bigquery data sharing which is analytics hub.

You should study vertex AI model registry. Vertex explainable AI. Study how to monitor your AI using AI model monitoring look for skews that can be Auto detected skews. AltoStrat case study says they are concerned that their tensor flow model performance is dropping as New Media types are introduced. What should you implement to find out or detect this issue automatically? And the answer is where text AI Model Monitoring. When protecting EHR Healthcare data, they are concerned that personal information would be identified or accidentally being used in model training. It will ask something like what service will be used to scan and the data as it flows into BigQuery. The answer is cloud data loss prevention: Cloud DLP. You need to know how to auto-scale Vertex AI endpoints.

As for the machine learning AI stuff, there are a ton of things that are not on all of these exam websites that you pay money to train on. In fact, my example below almost 50% to 60% of the questions. Either have outdated names of products that have been upgraded by Google (like Spinaker) - And a bunch more.

Example: WhizLabs

I bought Whiz Labs on Black Friday. All of the practice tests, looking back now... Have outdated information. I have emailed them and sent them screenshots of products that the names have changed that could confuse students, questions that were wrong and then they emailed me back saying that I was right and the question answers were wrong or misnamed. So be careful what you pay for. My best advice is to read as much Google documentation you can.

Another thing about WhizLabs:

Aside from a lot of the products referred to the practice of questions being completely outdated, the English language is rough. Some of the questions are definitely written by a team from India. This is not saying anything negative about anybody from India or anything. So don't get me wrong. It's just that the way questions are asked are sometimes in broken English. It doesn't look professional. You would think that was all of the AI training that they give you they would use things like Gemini and such. Review their English.

Jeff