Professional-Data-Engineer Exam Question 136

Business owners at your company have given you a database of bank transactions. Each row contains the user ID, transaction type, transaction location, and transaction amount. They ask you to investigate what type of machine learning can be applied to the data. Which three machine learning applications can you use? (Choose three.)
  • Professional-Data-Engineer Exam Question 137

    You want to analyze hundreds of thousands of social media posts daily at the lowest cost and with the fewest steps.
    You have the following requirements:
    * You will batch-load the posts once per day and run them through the Cloud Natural Language API.
    * You will extract topics and sentiment from the posts.
    * You must store the raw posts for archiving and reprocessing.
    * You will create dashboards to be shared with people both inside and outside your organization.
    You need to store both the data extracted from the API to perform analysis as well as the raw social media posts for historical archiving. What should you do?
  • Professional-Data-Engineer Exam Question 138

    You have a data pipeline with a Dataflow job that aggregates and writes time series metrics to Bigtable. You notice that data is slow to update in Bigtable. This data feeds a dashboard used by thousands of users across the organization. You need to support additional concurrent users and reduce the amount of time required to write the dat a. What should you do?
    Choose 2 answers
  • Professional-Data-Engineer Exam Question 139

    Different teams in your organization store customer and performance data in BigOuery. Each team needs to keep full control of their collected data, be able to query data within their projects, and be able to exchange their data with other teams. You need to implement an organization-wide solution, while minimizing operational tasks and costs. What should you do?
  • Professional-Data-Engineer Exam Question 140

    How would you query specific partitions in a BigQuery table?