Exam Professional Data Engineer topic 1 question 79 discussion

We are talking about transfer speed. Network transfer speed does not increase with CPU, but with bandwidth. Since there is no other extra information about what the issue, we have to assume that they imply network transfer speed.

To be honest this question is incomplete, I would go increasing the bandwidth, but first I would analyze why it’s taking long time maybe I’m uploading many files so I could compress and agregate then and upload just one, maybe the target cpu is overloaded at the time of the upload, maybe the target disk reaching the max iops,

Even if transfer server is deployed on the slowest machine available in GCP there is no way it is bottleneck for simple data transfer without any data processing.

GPT: Option A, increasing the CPU size on the data transfer server, could potentially increase the transfer speeds if the bottleneck in the data transfer process is the processing power of the server. By increasing the CPU size, the server may be able to process data more quickly, leading to faster transfers. Option C, increasing the network bandwidth from the datacenter to GCP, could potentially improve the transfer speeds, but it may not be feasible or cost-effective depending on the current infrastructure and network limitations.

it's refer to data transfer server slow here. not transfer data to cloud slow. 100% A

Answer is C

This question makes people confused only. there is no refer to network or size of data or something could be referred. the answer could be A or C

Very confusing question. I selected A because I assume increasing the CPU size on the cloud server is easier to change, as a data engineer, than the bandwidth.

C. Increase your network bandwidth from your datacenter to GCP. This will likely have the most impact on transfer speeds as it addresses the bottleneck in the transfer between your data center and GCP. Increasing the CPU size or the size of the Google Persistent Disk on the server may help with processing the data once it has been transferred, but will not address the bottleneck in the transfer itself. Increasing the network bandwidth from Compute Engine to Cloud Storage would also help with processing the data once it has been transferred but will not address the bottleneck in the transfer itself as well.

C is the answer.

A bit unprofessional question, having performance issues should be addressed by analyzing and looking for saturation in the system and understanding "wait-events". Only than adding more resources.

"The data are imported to Cloud Storage from your data center through parallel uploads to a data transfer server running on GCP. " This makes zero sense. Is it to GCS or GCE? Question had to make up its mind. Nonsense, literally.

Vote for C. Mostly because other options seems useless

Vote for 'C' You want to maximize transfer speeds.

https://cloud.google.com/compute/docs/machine-types#n1_machine_types

"The data are imported to Cloud Storage from your data center through parallel uploads to a data transfer server running on GCP." This is confusing, as the upload is through a data transfer server on GCP - not directly to Storage. In this case, maybe A?

I guess option A because, increasing processing power for parallel uploads is the first thing to try. And if it doesn't work, then go to bandwidth issues.