Question 51

Which of these numbers are adjusted by a neural network as it learns from a training dataset (select 2 answers)?
  • Question 52

    You work for a car manufacturer and have set up a data pipeline using Google Cloud Pub/Sub to capture anomalous sensor events. You are using a push subscription in Cloud Pub/Sub that calls a custom HTTPS endpoint that you have created to take action of these anomalous events as they occur. Your custom HTTPS endpoint keeps getting an inordinate amount of duplicate messages. What is the most likely cause of these duplicate messages?
  • Question 53

    Which of these statements about BigQuery caching is true?
  • Question 54

    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?
  • Question 55

    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 have written the following code to read the data for a new key features in the logs.
    BigQueryIO.Read
    .named("ReadLogData")
    .from("clouddataflow-readonly:samples.log_data")
    You want to improve the performance of this data read. What should you do?