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Professional Data Engineer

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  • Question 11 of 336

    Topic 1: Professional Data Engineer

    Topic 1: Professional Data Engineer

    Your company handles data processing for a number of different clients. Each client prefers to use their own suite of analytics tools, with some allowing direct

    query access via Google BigQuery. You need to secure the data so that clients cannot see each other's data. You want to ensure appropriate access to the data.

    Which three steps should you take? (Choose three.)

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  • Question 12 of 336

    Topic 1: Professional Data Engineer

    Topic 1: Professional Data Engineer

    You want to process payment transactions in a point-of-sale application that will run on Google Cloud Platform. Your user base could grow exponentially, but you

    do not want to manage infrastructure scaling.

    Which Google database service should you use?

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  • Question 13 of 336

    Topic 1: Professional Data Engineer

    Topic 1: Professional Data Engineer

    You want to use a database of information about tissue samples to classify future tissue samples as either normal or mutated. You are evaluating an unsupervised

    anomaly detection method for classifying the tissue samples. Which two characteristic support this method? (Choose two.)

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  • Question 14 of 336

    Topic 1: Professional Data Engineer

    Topic 1: Professional Data Engineer

    You need to store and analyze social media postings in Google BigQuery at a rate of 10,000 messages per minute in near real-time. Initially, design the

    application to use streaming inserts for individual postings. Your application also performs data aggregations right after the streaming inserts. You discover that

    the queries after streaming inserts do not exhibit strong consistency, and reports from the queries might miss in-flight data. How can you adjust your application

    design?

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  • Question 15 of 336

    Topic 1: Professional Data Engineer

    Topic 1: Professional Data Engineer

    Your startup has never implemented a formal security policy. Currently, everyone in the company has access to the datasets stored in Google BigQuery. Teams

    have freedom to use the service as they see fit, and they have not documented their use cases. You have been asked to secure the data warehouse. You need to

    discover what everyone is doing. What should you do first?

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