Assume that you are running a photo-sharing website. For each of the below questions, select the best place for the type of data given.
Image uploaded to the website by a user.
- Local Filesystem
- Object Storage (e.g. Amazon S3)
- Database (e.g. Postgres)
- Data Warehouse/Lake (e.g. Amazon Redshift)
User name, email, last login date.
- Local Filesystem
- Object Storage (e.g. Amazon S3)
- Database (e.g. Postgres)
- Data Warehouse/Lake (e.g. Amazon Redshift)
Log of every photo seen by the user on the site.
- Local Filesystem
- Object Storage (e.g. Amazon S3)
- Database (e.g. Postgres)
- Data Warehouse/Lake (e.g. Amazon Redshift)
1M photos tagged with "sunset" for feeding training batches for a scene classification network.
- Local Filesystem
- Object Storage (e.g. Amazon S3)
- Database (e.g. Postgres)
- Data Warehouse/Lake (e.g. Amazon Redshift)
Describe a couple of data augmentation techniques for image data.
- Flip
- Rotation
- Scale
- Crop
- Translation
- Gaussian Noise
Describe a couple of data augmentation techniques for speech data (sound files).
- Cropping out a portion
- Changing speed
- Injecting noise
- Masking frequency