Your company wants to migrate their 10-TB on-premises database export into Cloud Storage. You want to minimize the time it takes to complete this activity and the overall cost. The bandwidth between the on-premises environment and Google Cloud is 1 Gbps. You want to follow Google-recommended practices. What should you do?
To migrate a 10-TB on-premises database to Cloud Storage with a 1 Gbps network, using the gcloud storage cp command is the most efficient and cost-effective method. At 1 Gbps, the data transfer would take approximately 30 hours, which is significantly faster than using a Data Transfer appliance when you consider the shipping and handling times involved. This method also follows Google-recommended practices for transferring large datasets when the transfer time is less than a week.
This Transfer Appliance docs says it is suitable when "It would take more than one week to upload your data over the network" Since 10TB would take way less than a week for that bandwidth, I would go for D https://cloud.google.com/transfer-appliance/docs/4.0/overview#suitability
maximum object size in GCS is 5TB
so no answer is possible according to you ?...
you could solve that using split command
So how would it work with B ? The data needs to still end up in GCS. Also, who says the export is 1 large file ?
option B (Use the Data Transfer appliance to perform an offline migration) seems to be the most appropriate. It addresses the need for a speedy transfer of a large amount of data and is a cost-effective solution recommended by Google for large-scale data migrations. This option circumvents potential network bandwidth limitations and provides a reliable way to transfer large datasets. Why option D is not a good choice : D. Upload the data with gcloud storage cp: This method uses the gcloud command-line tool to copy files to Cloud Storage. While simple, it might not be the most efficient for a 10-TB migration given the 1 Gbps bandwidth. The process could be slow and may require additional handling for potential interruptions and resuming uploads.
Respectfully, I feel option D is the better choice. According to https://cloud.google.com/transfer-appliance/docs/4.0/overview#suitability, Google recommends using a transfer appliance if the data transfer would take longer than 1 week. At 1 Gbps and 10TB of data, the transfer would take 30 hours (https://cloud.google.com/architecture/migration-to-google-cloud-transferring-your-large-datasets#online_versus_offline_transfer). We also need to take into account shipping time for the appliance itself, to and from. That would take a couple weeks. The question mentions to minimize time and cost, and follow Google best practices. In this case, D checks those boxes. The question does not mention a customer concern about network interruptions. If they did, then B could be argued as the more appropriate answer.
Duplicate so review question #146 and the choice over there is offline transfer appliance.This is a tricky question
Answer has to be D.
No exactly duplicate. In #146 choice betwee Data Transfer Appliance and gsutil -m. here between DTA and gcloud storage cp....but stilll a tricky question
Since we would want to do it in the shortest time possible, using gsutil cp would take only 30 hours to move 10TB. So answer is D. https://cloud.google.com/architecture/migration-to-google-cloud-transferring-your-large-datasets?hl=en#online_versus_offline_transfer
The google math is 1TB data, 1GB bandwidth will take 3 hrs. We have 10TB of data so we are looking at 30 HRS hence the storage appliance
1 Gbps and not 1GB BW, this means it will take 23 hours approx, still faster than the appliance.
Because there is 10 TB of data, it's B
As we have 1Ggigabit network we can transfer this with CLI command quicker than Transfer appliance. which takes time like more than week. Incase of lesser band width may be we use transfer appliance
Answer is B. Max cp limit of file is 5 TB
Option B. Cloud Storage object limit is 5 TB. https://cloud.google.com/storage/quotas?hl=en#objects https://cloud.google.com/storage/quotas?hl=en#objects
age Dataset size 1 TB 12 network_check Bandwidth 1 Gbps 9 timer Transfer time 3 hr 4
D is the answer
Appliance is overkilling for 30 hours cli command, the appliance could take more than a week with shipping, how many times you run jobs which take hours to completed? Many times I would go with D
ill go for b
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The current maximum object size supported by GCS is 5 TB, so it should be B
B. Use the Data Transfer Appliance to perform an offline migration. using the Data Transfer Appliance aligns with Google's recommended practice for large-scale migrations where bandwidth limitations are a concern, ensuring efficient, secure, and cost-effective transfer of your on-premises database export into Google Cloud Storage.