Google Cloud Professional Data Engineer
A Professional Data Engineer empowers data-driven decisions by collecting, transforming, storing, and delivering data for diverse applications. A Professional Data Engineer designs and builds robust data infrastructure,…
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You are building a model to make clothing recommendations. You know a user's fashion preference is likely to change over time, so you build a data pipeline to stream new data back to the model as it becomes available. How should you use this data to train the model?
Continuously retrain the model on a combination of existing data and the new data.
Your infrastructure includes a set of YouTube channels. You have been tasked with creating a process for sending the YouTube channel data to Google Cloud for analysis. You want to design a solution that allows your world-wide marketing teams to perform ANSI SQL and other types of analysis on up-to-…
Use BigQuery Data Transfer Service to transfer the offsite backup files to a Cloud Storage Multi-Regional storage bucket as a final destination.
You store historic data in Cloud Storage. You need to perform analytics on the historic data. You want to use a solution to detect invalid data entries and perform data transformations that will not require programming or knowledge of SQL. What should you do?
Use Cloud Dataprep with recipes to detect errors and perform transformations.
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