Objective 1.2 Understand Challenges CERTIFIED-DATA-SCIENCE-PRACTITIONER Practice Questions (Page 1)

Questions 1–5

1. 1foundation · easy

   What is the primary role of a minimum viable product (MVP) in iterative development of a data science solution?

   • ATo serve as a proof of concept with no user interaction
   • BTo provide a minimal version of the solution that can be used to gather feedback and learn
   • CTo be the final, fully-featured product delivered to customers
   • DTo replace the need for a full project plan
   Reveal Solution Discussion Select an answer first
2. 2application · medium

   A financial services company is starting a data science project that will use customer transaction data. The company has multiple departments that collect and store data in different formats, and there is no clear owner for data quality. The project team is concerned about inconsistent data and compliance risks. What should the company establish first?

   • AA proof of concept to test the model on a small sample
   • BA data governance policy that defines data ownership, quality standards, and access rules
   • CA minimum viable product to deliver value quickly
   • DA milestone plan to track the project timeline
   Reveal Solution Discussion Select an answer first
4. 3application · medium

   A project manager and a data science team are discussing a new fraud detection project. The project manager asks, 'What is the first version of the model that we can put in front of a small group of analysts to get feedback?' The data scientist should respond that this is the:

   • AData governance policy
   • BMinimum viable product
   • CProof of concept
   • DMilestone
   Reveal Solution Discussion Select an answer first
5. 4foundation · easy

   What is the primary purpose of a proof of concept (POC) in a data science project?

   • ATo replace the need for a full project plan
   • BTo ensure the model is fully optimized for performance
   • CTo deliver a production-ready model to end users
   • DTo validate that a proposed approach is feasible before full implementation
   Reveal Solution Discussion Select an answer first
6. 5application · medium

   A mobile app company wants to collect user location data to build a foot-traffic analytics model. The app currently has a privacy policy but does not explicitly ask users for permission to collect location data. Under GDPR and CCPA principles, what must the company do before collecting this data?

   • ARely on the privacy policy as sufficient notice
   • BAnonymize the location data before collection
   • CCollect the data and allow users to opt out later
   • DObtain informed consent from users through a clear, voluntary opt-in mechanism
   Reveal Solution Discussion Select an answer first