Where should large training image files be stored?
Why B is the answer
Cloud Storage
Cloud Storage suits large files such as images. BigQuery suits tabular training data.
In detail
- Cloud Storage suits large training files.
- Cloud Storage suits large files.
Use case
An illustrative scenario, not a real incident.
A team keeps millions of images in Cloud Storage, and tabular labels in BigQuery.
See it in different ways
mindmap
root((ML data))
Processing
Dataflow
Features
Feature Store
Prototyping
Workbench
Colab Enterprise
Tracking
Experiments
ML Metadata lineageflowchart TD
Q{"What kind of data?"}
Q -->|"Large files"| A0["Cloud Storage"]
Q -->|"Tables"| A1["BigQuery"]Key point: Cloud Storage holds large files.
Why the other options are wrong
- A. A notebook's local disk only
- A local disk is lost with the notebook.
- C. Bigtable
- Bigtable is for wide-column data.
- D. Memorystore
- Memorystore is a cache.