You aim to utilize BigQuery ML for constructing a machine learning model and establish a Vertex AI endpoint to manage streaming data in near-real time from various vendors, which might include invalid values. What is the optimal strategy to address this scenario?

Real Exam

Send vendor data to a Pub/Sub topic and use Dataflow to process and sanitize the data before streaming it to BigQuery.

70.0%

Use BigQuery streaming inserts to load data from multiple vendors into a new BigQuery dataset. Configure your BigQuery ML model to use the ingestion dataset as the framing data

10.0%

Send vendor data to a Pub/Sub topic and use a Cloud Function to process and store it in BigQuery

10.0%

Use BigQuery streaming inserts to load data from multiple vendors into the same BigQuery dataset where your BigQuery ML model is deployed

10.0%

Google Professional Data Engineer

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You aim to utilize BigQuery ML for constructing a machine learning model and establish a Vertex AI endpoint to manage streaming data in near-real time from various vendors, which might include invalid values. What is the optimal strategy to address this scenario?