Free Google Cloud-Digital-Leader Actual Exam Questions - Question 11 Discussion
continuously. You do not want to be required to provision infrastructure or create server clusters.
What should your organization choose?
D makes the most sense here because Dataflow is fully managed and designed for continuous data processing without any need to set up or maintain infrastructure. The other options all involve managing clusters or VMs, which the question rules out. Even if the data was batch, Dataflow handles that too, so it’s the most flexible and hassle-free choice.
It’s D for sure since Dataflow handles both streaming and batch without you worrying about infrastructure. The continuous aspect rules out anything needing cluster setup or VM management.
I agree that managing clusters is off the table, so B is out. Also, Compute Engine (A) means managing VMs, which goes against the “no provisioning” part. GKE with Bigtable (C) still involves managing Kubernetes clusters, so that’s not ideal either. Dataflow (D) fits best since it’s fully managed and can handle continuous data processing without needing you to set up any infrastructure. D makes the most sense here.
B imo – Dataproc is more about managing clusters and provisioning infrastructure, which the question says they want to avoid. So that probably rules out B since it needs you to handle clusters. Between the others, D still makes more sense for continuous processing without worrying about servers. A and C definitely require more manual setup or cluster management, so they don’t fit the “no provisioning” part as well as D does.
D, Dataflow fits the no-provisioning and continuous processing criteria.