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  1. What are some of the advantages to exploring datasets with a UI tool like Cloud Dataprep?
  • Dataprep uses Dataflow behind-the-scenes and you can create your transformations in a UI tool instead of writing Java or Python
  • Dataprep allows for quick visual inspection of your dataset with accurate frequency histograms for every value in a column Note : Dataprep only loads a sample of your dataset into the viewer for inspection. While you can control what type of sample to load, you will need to run the actual pipeline to view and analyze all of your data.
  • Dataprep has a number of transformation steps available that you can chain together as part of a recipe
  • Dataprep supports outputting your data into BigQuery, Google Cloud Storage, or flat files

  1. TRUE or FALSE: You can automatically setup pipelines to run at defined intervals with Cloud Dataprep
  • True
  • False