
Ultimate access to all questions.
As the lead ML Engineer for your company, you are responsible for building machine learning models to digitize scanned customer forms. You have successfully developed a TensorFlow model that processes scanned images, converts them into text, and stores the results in Google Cloud Storage. Your company collects aggregated data from scanned images at the end of each day, and you need to implement an efficient and minimal-manual-intervention method for processing this data daily. What should you do?
A
Use the batch prediction functionality of AI Platform.
B
Create a serving pipeline in Compute Engine for prediction.
C
Use Cloud Functions for prediction each time a new data point is ingested.
D
Deploy the model on AI Platform and create a version of it for online inference.