Discovery - Describe Details of This Phase, Including Activities and Associated Roles DATA-SCIENCE-FOUNDATIONS Practice Questions (Page 2)

Questions 6–10

1. 6application · medium

   A transportation company is starting a data science project to reduce fuel consumption. During Discovery, the team has framed the business problem and identified data sources such as GPS logs and fuel purchase records. The project sponsor asks why the team is spending time on Discovery instead of starting to build models. What is the best response?

   • ADiscovery is needed to purchase the necessary software tools.
   • BDiscovery is a mandatory step in the company's project management methodology.
   • CDiscovery helps ensure the problem is well-defined and the data is sufficient before investing in modeling.
   • DDiscovery is the only phase where we can talk to business stakeholders.
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2. 7expert · hard

   A retail chain wants to use data science to optimize inventory levels. During Discovery, the team identifies that sales data is available from the point-of-sale system, but it is only stored for 12 months. The business wants to account for seasonal trends that may require more historical data. The team also has access to external economic indicators. What should the team do during Discovery?

   • AExplore whether the point-of-sale system can be configured to retain data longer, and consider external data sources to supplement.
   • BUse the 12 months of data and note the limitation in the project plan.
   • CAsk the IT department to manually archive older sales data from backups.
   • DRely solely on external economic indicators to predict inventory needs.
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4. 8application · medium

   A startup wants to use data science to recommend personalized content to users. During Discovery, the team realizes that they have very little user interaction data because the product is new. What should the team do during Discovery to address this limitation?

   • ABuild a recommendation model using only the limited data available.
   • BWait until enough data is collected before starting the project.
   • CAsk users to manually provide their preferences through surveys.
   • DIdentify alternative data sources, such as user demographics or content metadata, and document the limitation in the project plan.
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5. 9application · medium

   A marketing agency is starting a project to analyze social media sentiment for a client. During Discovery, the team has framed the business problem and identified potential data sources. The client wants to know what the project will deliver and when. Which Discovery deliverable directly addresses this request?

   • AA prototype sentiment analysis model
   • BA list of social media influencers to engage
   • CA project plan with milestones and deliverables
   • DA data dictionary for the social media data
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6. 10application · medium

   A financial services firm is starting a data science project to detect fraudulent transactions. The project sponsor asks the team to skip the Discovery phase and go straight to building a model because the business problem seems clear. What is the best reason to insist on completing Discovery?

   • ADiscovery is required to obtain funding for the project.
   • BDiscovery produces the final model evaluation metrics.
   • CDiscovery ensures that the problem is well-defined and that the right data is available before investing in modeling.
   • DDiscovery is the only phase where data scientists interact with business stakeholders.
   Reveal Solution Discussion Select an answer first