You want to create a machine learning model using BigQuery ML and create an endpoint for hosting the model using Vertex AI. This will enable the processing of continuous streaming data in near-real time from multiple vendors. The data may contain invalid values. What should you do?
To enable the processing of continuous streaming data in near-real time from multiple vendors and handle potential invalid values, the best approach is to create a Pub/Sub topic and send all vendor data to it. Dataflow can be used to process and sanitize this data before streaming it to BigQuery. This pipeline allows for scalable, real-time processing and ensures data is appropriately cleaned before being utilized by the BigQuery ML model and hosted in Vertex AI.
Answer is D
It's D
Better to use pubsub for streaming and reading message data Dataflow ParDo can perform filtering of data
D is the best option to sanitize the data to its D
Option D -Dataflow provides a scalable and flexible way to process and clean the incoming data in real-time before loading it into BigQuery.
D is the answer.
D. Create a Pub/Sub topic and send all vendor data to it. Use Dataflow to process and sanitize the Pub/Sub data and stream it to BigQuery.
Option D
Why is the answer A? After paying $44 I am getting wrong answers.