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How should you use this data to train the model?
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 ....
What should you do?
Your company is performing data preprocessing for a learning algorithm in Google Cloud Dataflow. Numerous data logs are being are being generated during this step, and the team wants to analyze them. Due to the dynamic nature of the campaign, the data is growing exponentially every hour. The data scientists...
Which SQL keyword can be used to reduce the number of columns processed by BigQuery?
Which SQL keyword can be used to reduce the number of columns processed by BigQuery?A . BETWEENB . WHEREC . SELECTD . LIMITView AnswerAnswer: C Explanation: SELECT allows you to query specific columns rather than the whole table. LIMIT, BETWEEN, and WHERE clauses will not reduce the number of columns...
How should you maintain users’ privacy?
You are working on a sensitive project involving private user data. You have set up a project on Google Cloud Platform to house your work internally. An external consultant is going to assist with coding a complex transformation in a Google Cloud Dataflow pipeline for your project. How should you...
How should you design the frontend to respond to a database failure?
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?A . Issue a command to restart the database servers.B . Retry...
How can you adjust your application design?
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...
Which Cloud Dataflow / Beam feature should you use to aggregate data in an unbounded data source every hour based on the time when the data entered the pipeline?
Which Cloud Dataflow / Beam feature should you use to aggregate data in an unbounded data source every hour based on the time when the data entered the pipeline?A . An hourly watermarkB . An event time triggerC . The with Allowed Lateness methodD . A processing time triggerView AnswerAnswer:...
Which of these numbers are adjusted by a neural network as it learns from a training dataset (select 2 answers)?
Which of these numbers are adjusted by a neural network as it learns from a training dataset (select 2 answers)?A . WeightsB . BiasesC . Continuous featuresD . Input valuesView AnswerAnswer: AB Explanation: A neural network is a simple mechanism that’s implemented with basic math. The only difference between the...
What should you do?
Given the record streams MJTelco is interested in ingesting per day, they are concerned about the cost of Google BigQuery increasing. MJTelco asks you to provide a design solution. They require a single large data table called tracking_table. Additionally, they want to minimize the cost of daily queries while performing...
Which Google database service should you use?
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?A . Cloud SQLB . BigQueryC . Cloud BigtableD . Cloud DatastoreView...
