Q:
You work in a company that is using legacy systems for data storage. Your current business processes occur slowly and rely on sharing data. You want to implement data lake modernization and make better use of data warehouses, but first you need to convince your teams and machine learning engineers to support this change. What current problems might teams and machine learning engineers experience while using traditional data storage solutions?
Q:
You run a machine learning project at a startup gaming app development business. You want to improve the user experience of your games and increase the sales of microtransactions. The business has some data that they can use to train a machine learning model but not enough to create the accurate results you want. How can you enrich and improve your existing dataset before training your machine learning model?
Q:
You work at an international sales organization and are planning a machine learning project. You are in the process of gathering and organizing customer data but have discovered that it is traditionally stored in offices around the world. You have contacted the global offices, which are willing to share their data with you but have no method of doing so. What is the best solution you could suggest that will help gather data for your project and also for other projects and processes in the future?
Q:
You manage a large e-commerce store with various departments that use sensitive customer data to improve business efficiency and processes. A customer can store their payment card details for faster online checkout. Also, the last 4 digits of a payment card are used to confirm a customer’s identity if they need to contact the customer service team. What technique can be used to protect payment card details when the customer service team needs to confirm a customer’s identity?
Q:
You have convinced the decision makers at your small business to allow a pilot machine learning project. The leaders have provided a reasonable, but not high, budget for the project. Also, they do not want to spend too much of the employees’ time, which might affect the core business. The team you have formed is excited about the project but currently lacks the skills needed for the pilot. How can you best garner the expertise needed for the machine learning project?
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