Google Professional-Data-Engineer Exam With Confidence Using Practice Dumps

1. Store the historical data in BigQuery for analytics.2. In a Cloud SQL table, store the last state of the product after every product change.3. Serve the last state data directly from Cloud SQL to the API.

1. Store the historical data in Cloud SQL for analytics.2. In a separate table, store the last state of the product after every product change.3. Serve the last state data directly from Cloud SQL to the API.

1. Store the products as a collection in Firestore with each product having a set of historical changes.2. Use simple and compound queries for analytics.3. Serve the last state data directly from Firestore to the API.

1. Store the historical data in BigQuery for analytics.2. Use a materialized view to precompute the last state of a product.3. Serve the last state data directly from BigQuery to the API.

Rowkey: date#device_idColumn data: data_point

Rowkey: dateColumn data: device_id, data_point

Rowkey: device_idColumn data: date, data_point

Rowkey: data_pointColumn data: device_id, date

Rowkey: date#data_pointColumn data: device_id

Use Cloud Vision AutoML with the existing dataset.

Use Cloud Vision AutoML, but reduce your dataset twice.

Use Cloud Vision API by providing custom labels as recognition hints.

Train your own image recognition model leveraging transfer learning techniques.