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Graded Assignment • 30 min
Which of the following issues motivate the need for data observability tools beyond the need for software observability tools? Select all that apply.
Issues with data may not be visible even if your data pipeline is working perfectly. This is why it is important to check the data throughout the data pipeline.
Issues with data may not be visible even if your data pipeline is working perfectly. And you may not know about the data issues until the data reaches the stakeholders. This is why it is important to check the data throughout the data pipeline.
Why is communication with source system owners emphasized as important in the context of data observability and monitoring?
Communication with source system owners to understand upcoming changes that could impact data quality is as important as building in checks or tests in your data monitoring. For more information, feel free to revisit the video on Monitoring Data Quality.
It’s a best practice to test data quality just before serving it.
Testing the ingested data can help to identify problems as early as possible before they are propagated further down your pipelines.
Which of the following best describes the concept of version control within DataOps?
Nice job! Working with data products involves working with code and data. And you may want to track changes to both the code and data. Additionally, if you treat your Infrastructure as code, then you can also apply version control to your infrastructure.
Other than Terraform, what other infrastructure as code tools were mentioned this week?
Which of the following statements is true about Terraform?
Terraform uses a declarative model, where users specify what the infrastructure should look like (the desired end-state) rather than how to achieve it. Terraform then figures out how to reach that state. For more information, feel free to revisit the video about Infrastructure as Code.
Which of the following statements is TRUE about the use of Infrastructure as Code in cloud infrastructure management?
Nice job! Infrastructure as Code, through tools like Terraform and CloudFormation, enables the automation of creation, configuration, and management of cloud infrastructure resources with code-based configuration files. For more information, feel free to revisit the video on Infrastructure as Code.
It’s a best practice to monitor as many data quality metrics as possible.
Nice job! You should try to understand the business use case and the needs of the stakeholders before choosing the appropriate data quality metrics to monitor.
