Cloud Digital Leader Exam - Topic 2 Question 15 Discussion
Google Cloud Digital Leader Exam - Topic 2 Question 15 Discussion
Your organization needs to process large amounts of data from an online application that operates continuously. You do not want to be required to provision infrastructure or create server clusters. What should your organization choose?
A) Compute Engine with BigQuery
B) Dataproc
C) Google Kubernetes Engine with Cloud Bigtable
D) Dataflow
Google Cloud Digital Leader Exam - Topic 2 Question 15 Discussion
Actual exam question for
Google's
Cloud Digital Leader exam
Your organization needs to process large amounts of data from an online application that operates continuously. You do not want to be required to provision infrastructure or create server clusters. What should your organization choose?
I remember studying about serverless options, and I think Dataflow might be the right choice since it handles data processing without needing to manage infrastructure.
Hmm, this is a tricky one. I'm not entirely sure which option would be the best fit for all the objectives. I'll need to re-read the question and think through the pros and cons of each approach before making a decision.
Option B, the laptop locks, seems like the way to go. It's a simple, proven solution that should get the job done without breaking the bank. I feel pretty confident that's the best choice here.
Hmm, this is a tricky one. I'm not entirely sure, but I'm leaning towards Option C - using both qualitative and quantitative measures could be a good way to structure the data and information.
I agree with you, Felicitas. It seems counterintuitive, but I think redundant controllers in the most restrictive domain could lead to channel limitations rather than expansion.
Hmm, I'm a bit unsure about this one. The wording is a bit tricky, and I want to make sure I understand the concept of the failover system mechanism correctly before answering.
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