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