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Professional Data Engineer
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Question 6 of 336
Topic 1: Professional Data EngineerTopic 1: Professional Data Engineer
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?
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Question 7 of 336
Topic 1: Professional Data EngineerTopic 1: Professional Data Engineer
You are creating a model to predict housing prices. Due to budget constraints, you must run it on a single resource-constrained virtual machine. Which learning
algorithm should you use?
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Question 8 of 336
Topic 1: Professional Data EngineerTopic 1: Professional Data Engineer
You are building new real-time data warehouse for your company and will use Google BigQuery streaming inserts. There is no guarantee that data will only be
sent in once but you do have a unique ID for each row of data and an event timestamp. You want to ensure that duplicates are not included while interactively
querying data. Which query type should you use?
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Question 9 of 336
Topic 1: Professional Data EngineerTopic 1: Professional Data Engineer
Your company is in a highly regulated industry. One of your requirements is to ensure individual users have access only to the minimum amount of information
required to do their jobs. You want to enforce this requirement with Google BigQuery. Which three approaches can you take? (Choose three.)
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Question 10 of 336
Topic 1: Professional Data EngineerTopic 1: Professional Data Engineer
You are designing a basket abandonment system for an ecommerce company. The system will send a message to a user based on these rules:
✑ No interaction by the user on the site for 1 hour
Has added more than $30 worth of products to the basket
✑ Has not completed a transaction
You use Google Cloud Dataflow to process the data and decide if a message should be sent. How should you design the pipeline?
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