Become Google Certified with updated Professional-Data-Engineer exam questions and correct answers
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?
A manufacturer of delivery drones is implementing a new data analysis pipeline to detect part failures before they occur. The drones have multiple sensors that send performance and environment data to an analytics pipeline. Currently, data is sent to a REST API endpoint. The REST API endpoint that receives data cannot always keep up with the pace data is arriving. When that happens, data is lost. Machine learning engineers have asked you to change the ingestion process to reduce this data loss. What would you do?
Your weather app queries a database every 15 minutes to get the current temperature. The frontend is powered by Google App Engine and server millions of users. How should you design the frontend to respond to a database failure?
You have a data pipeline that writes data to Cloud Bigtable using well-designed row keys. You want to monitor your pipeline to determine when to increase the size of you Cloud Bigtable cluster. Which two actions can you take to accomplish this? Choose 2 answers.
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