PROFESSIONAL-CLOUD-ARCHITECT · Question #370
You are developing a deep learning model that requires high-performance access to large volumes of media data currently stored in Cloud Storage. Model training will be executed on multiple VM instance
The correct answer is C. Use the gcsfuse command line tool to mount the Cloud Storage bucket as a local file system, and. Using gcsfuse lets you mount a Cloud Storage bucket so your training code can access objects through standard file system paths without building a separate storage layer. This keeps the architecture simple and avoids the added cost and management of provisioning shared file stora
Question
Options
- ACopy the data from Cloud Storage to Filestore, and then mount the Filestore volume as a local file
- BCreate a shared persistent disk, attach the disk to your VM instances, and load data from the
- CUse the gcsfuse command line tool to mount the Cloud Storage bucket as a local file system, and
- DUse the gsutil command line tool to download the data to your VM instances.
How the community answered
(42 responses)- A7% (3)
- B2% (1)
- C76% (32)
- D14% (6)
Explanation
Using gcsfuse lets you mount a Cloud Storage bucket so your training code can access objects through standard file system paths without building a separate storage layer. This keeps the architecture simple and avoids the added cost and management of provisioning shared file storage for large media datasets.
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