Google Cloud Professional Data Engineer PDE — Topic 1 Question 206

Question

You need ads data to serve AI models and historical data for analytics. Longtail and outlier data points need to be identified. You want to cleanse the data in near-real time before running it through AI models. What should you do?

Accepted Answer

Correct answer: B. The correct answer is B. Option B: Use Dataflow to identify longtail and outlier data points programmatically, with BigQuery as a sink. BigQuery is a serverless, petabyte-scale data warehouse for fast SQL analytics with no infrastructure to manage. Dataflow runs serverless Apache Beam pipelines for stream and batch data processing with autoscaling. This option meets the real-time / low-latency performance requirement.

Google Cloud Professional Data Engineer PDE — Question 206