DataOps(Data Operations) — Learn free

Self-check

Questions 1–10 of 10

1. How does DataOps relate to DevOps and DevSecOps?
Question 1A. It replaces them for data projectsB. It is unrelated and follows Waterfall principlesC. It removes CI/CD from the processD. It follows the same principles but adds elements related to the data domainE. It applies only to machine learning models
2. What does DataOps make sure of with respect to data?
Question 2A. That data is stored only in a data warehouseB. That data is properly integrated with source and target, flows through automated best-practice pipelines, is highly secured and is of high qualityC. That data is deleted after each sprintD. That data is used only by data scientistsE. That data is held in a single file format
3. DevOps does not care whether a project is a data project or a mobile application project. What does DataOps focus on instead?
Question 3A. Where the data is coming from and going to, why it is coming, how it will be used, how much it cost and how much it will monetiseB. Which programming language the application usesC. How many servers the application needsD. Which team owns the mobile applicationE. How quickly the user interface loads
4. Which step appears at the start of the DataOps process flow but not in the DevOps flow of Development, Build, Testing, Deployment and Run?
Question 4A. Regular BuildB. Regular TestingC. Regular DeploymentD. Regular DevelopmentE. Regular Integration
5. Which of the following is NOT listed as a key element of DataOps?
Question 5A. ETL or ELTB. Agile and CI/CDC. Model RegistrationD. Environment ManagementE. Automated Testing
6. What is described as the practice for implementing DataOps?
Question 6A. Implement DataOps under the umbrella of DevOps, including CI/CDB. Implement DataOps as a standalone process outside DevOpsC. Implement DataOps only after MLOps is in placeD. Implement DataOps without automated testingE. Implement DataOps only for structured data
7. Which key element of DataOps is specifically concerned with moving and transforming data between systems?
Question 7A. Component DesignB. Environment ManagementC. Collaboration and Self-ServiceD. Governance, Security and Change ControlE. ETL or ELT
8. What is the final step in the DataOps process flow?
Question 8A. Regular DeploymentB. Regular Delivery/RunC. Regular Monitoring and FeedbackD. Regular TestingE. Regular Integration
9. Which of the following is one of the questions DataOps asks about data?
Question 9A. Which mobile platform the application targetsB. How much the data cost and how much it will monetiseC. Which cloud vendor has the cheapest computeD. How many developers are on the teamE. Which version control system is used
10. Which two qualities does DataOps ensure the data has as it flows through pipelines?
Question 10A. Low cost and small sizeB. Compression and encryptionC. Speed and simplicityD. High security and high qualityE. Uniqueness and anonymity