Describe the Data Analytics Lifecycle Purpose and Sequence of Phases DATA-SCIENCE-FOUNDATIONS Practice Questions (Page 2)

Questions 6–10

1. 6application · medium

   A healthcare organization is in the operationalization phase of a project to predict patient readmission. The model has been deployed and is now generating predictions. What is the primary focus of this phase?

   • ATo select the best predictive algorithm for readmission.
   • BTo define the business problem and success criteria.
   • CTo clean and transform patient data for modeling.
   • DTo integrate the model into production systems and monitor its performance.
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2. 7foundation · easy

   What is the primary purpose of following a data analytics lifecycle in an analytics project?

   • ATo automate the entire analytics process so that human intervention is not required.
   • BTo ensure that all data used in the project is stored in a single database.
   • CTo provide a structured approach that helps turn a business problem into insights that can drive decisions.
   • DTo reduce the total cost of the project by minimizing the number of phases.
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4. 8expert · hard

   A retail company is starting a new analytics project to optimize inventory levels. The team has experience with similar projects and believes they can skip the discovery phase because they already understand the business problem. However, the company has recently expanded into new markets with different demand patterns. What is the most appropriate action?

   • AConduct a brief discovery phase to confirm the business problem and identify new data sources.
   • BProceed to model building and adjust the model later if needed.
   • CDefer the project until the team has more time to conduct a full discovery phase.
   • DSkip discovery and proceed directly to data preparation to save time.
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5. 9application · medium

   A financial services firm is starting a new analytics project to detect fraudulent transactions. During the discovery phase, the team interviews business stakeholders and identifies that the primary goal is to reduce false positives in fraud alerts. What is the primary purpose of this discovery activity?

   • ATo clean and transform the transaction data for analysis.
   • BTo define the business problem and establish success criteria.
   • CTo deploy the fraud detection model into the production system.
   • DTo select the best machine learning algorithm for fraud detection.
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6. 10application · medium

   A logistics company is working through the data analytics lifecycle for a project aimed at optimizing delivery routes. The team has just finished presenting the model results to business stakeholders, who have approved the model. What should the team do next in the lifecycle?

   • AMove to the operationalization phase to deploy the model.
   • BBegin the discovery phase for a new project.
   • CReturn to data preparation to refine the dataset.
   • DRe-enter model planning to consider alternative algorithms.
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