Data Product Ownership — Learn free

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Questions 1–10 of 10

1. What does Data Product Ownership refer to?
Question 1A. The responsibility of managing and overseeing a data product from creation through to ongoing improvementsB. The legal ownership of the servers on which data is storedC. The copyright held over a published datasetD. The task of writing SQL queries for a dashboardE. The right to sell data to third parties
2. When defining vision and goals for a sales dashboard, what would a Data Product Owner decide?
Question 2A. Which programming language the engineers must useB. What metrics and insights will help users make informed sales decisionsC. How much the sales team is paidD. Which cloud provider to buy servers fromE. When the sales team should take their breaks
3. How does a Data Product Owner decide which features or improvements to develop first?
Question 3A. By building every feature at the same timeB. By choosing the features that are cheapest regardless of valueC. By prioritising based on their value to users and the organisation, balancing short-term needs with long-term goalsD. By following the order in which requests were receivedE. By letting the engineers pick their favourite features
4. What does 'Understand User Needs' involve for a Data Product Owner?
Question 4A. Guessing what users want without asking themB. Reading only the technical documentationC. Restricting the product to expert usersD. Gathering feedback, studying user behaviour and ensuring the product addresses actual problemsE. Hiring more data engineers
5. With whom does a Data Product Owner collaborate to ensure data quality and compliance?
Question 5A. External auditors onlyB. The marketing departmentC. Customers and suppliersD. The board of directorsE. Data engineers and analysts
6. Which of the following is NOT listed as a key responsibility of Data Product Ownership?
Question 6A. Negotiating the company's office leaseB. Defining vision and goalsC. Prioritising features and improvementsD. Ensuring data quality and complianceE. Monitoring product performance
7. What does a Data Product Owner monitor after a data product is launched?
Question 7A. The salaries of the development teamB. Key performance indicators (KPIs) to assess how well the product meets its goals and user needsC. The weather forecast for the regionD. Only the number of servers in useE. The stock price of competitors
8. Which cross-functional team members does a Data Product Owner work with to bring a data product to life?
Question 8A. Only data scientistsB. Only business leadersC. Data scientists, engineers, designers and business leadersD. Only external consultantsE. Only the finance department
9. Why does Data Product Ownership matter?
Question 9A. It removes the need for data engineersB. It guarantees that a data product never needs to changeC. It allows data products to be sold to competitorsD. It bridges the gap between technical data capabilities and business needsE. It replaces data governance entirely
10. What is the bottom line on Data Product Ownership?
Question 10A. It is a temporary role that ends once the product is launchedB. It concerns only the initial design of a data productC. It applies only to dashboards, not to datasets or modelsD. It is mainly about cost controlE. It is about taking end-to-end responsibility for a data product, from its initial idea to its continuous improvement