Google Cloud Professional Machine Learning Engineer — Question 1

You are building an ML model to detect anomalies in real-time sensor data. You will use Pub/Sub to handle incoming requests. You want to store the results for analytics and visualization. How should you configure the pipeline?

Answer options

• A. 1 = Dataflow, 2 = AI Platform, 3 = BigQuery
• B. 1 = DataProc, 2 = AutoML, 3 = Cloud Bigtable
• C. 1 = BigQuery, 2 = AutoML, 3 = Cloud Functions
• D. 1 = BigQuery, 2 = AI Platform, 3 = Cloud Storage

Correct answer: A

Explanation

The correct answer is A because Dataflow is well-suited for processing streaming data in real-time, AI Platform can be used to build and deploy machine learning models, and BigQuery is ideal for storing and analyzing large datasets. The other options do not provide an optimal combination for real-time anomaly detection and analytics.