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Modernizing Data Lakes and Data Warehouses with Google Cloud Coursera Quiz Answers

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Modernizing Data Lakes and Data Warehouses with Google Cloud Coursera Quiz Answers


 

Introduction to Data Engineering Quiz Answers

Question 1)
Which of the following are the jobs of a data engineer?

  • Get the data to where it can be useful
  • Get the data into a usable condition
  • Add new value to the data
  • Manage the data
  • Productionize data processes

Question 2
Which statements are true?

  • Clod SQL is optimized for high-throughput writes
  • BigQuery is optimized for high-read data
  • BigQuery is a row-based storage
  • Cloud SQL is optimized for high-read data

 

Building a Data Lake Quiz Answers

Question 1)
Which statement best describes a data lake?

  • The place where you capure every aspect of your business operations. Data is stored in its natural, raw format.
  • Data storage intended for analytics.
  • Storage optimized for high-throughput writes.
  • Storage for current/historical data intened for reporting.

Question 2)
Which of the following statements on Cloud Storage are true?

  • Cloud Storage simulates a file system
  • Cloud Storage allows you to set retention policies on all objects in a bucket
  • Cloud Storage implements both Cloud IAM policy and Access Control Lists
  • Data in Cloud Storage is not encrypted

 

Building a Data Warehouse Quiz Answers

Question 1)
Which of the following statements on BigQuery are true?

  • Data is run length-encoded and dictionary-encoded
  • Data on BigQuery is physically stored in a redundant way separate from the compute cluster
  • A BigQuery slot is a combination of CPU, memory, and networking resources
  • The number of slots allotted to a query is independent of query complexity

Question 2)
True or False: ARRAYS can be part of regular fields or STRUCTS in BigQuery?

  • True
  • False