WGU D491 Actual Exam Study Questions with 100% Correct Answers Already Graded A+ | Brand New Version

WGU D491 Actual Exam Study Questions with 100% Correct Answers Already Graded A+ | Brand New Version 1. Data Analytics - ANSWER Use of data to provide insights and solve problems. 2. Importance of Data Analytics - ANSWER Vital across industries like healthcare, finance, marketing, and tech. 3. Goal of Data Analytics - ANSWER Improve decisions using data analysis, trends, and predictions. 4. Database Administrator (DBA) - ANSWER Manages data systems. 5. Researchers - ANSWER Provide data insights. 6. Responsibilities of Researchers - ANSWER Form research questions, review literature, design/execute studies, collect & analyze data, recommend actions. 7. Partners - ANSWER External contributors (vendors, consultants). 8. Responsibilities of Partners - ANSWER Share expertise/resources, collaborate on goals, meet deadlines, manage risks, communicate regularly. 9. End Users - ANSWER Use the final product/service. 10. Responsibilities of End Users - ANSWER Give feature requirements, test & give feedback, advocate for product, help with user documentation, provide user data. 11. Stakeholders - ANSWER People/groups with interest in project outcomes. 12. Scope - ANSWER Project boundaries: goals, tasks, resources. 13. Project Sponsor - ANSWER Executive providing support, funds, and strategic direction. 14. Project Manager - ANSWER Oversees planning, team, timeline, budget. 15. Financial Operations - ANSWER Manages budgeting, reporting, and financial risk. 16. Database Administrator - ANSWER Manages secure, organized, accessible data systems. 17. Data Analytics Lifecycle - ANSWER Six Phases: Discovery, Data Preparation, Model Planning, Model Building, Communicate Results, Operationalize. 18. Key Activities in Discovery - ANSWER Identify business objectives, interview stakeholders and sponsor, frame the problem clearly, assess available resources, form initial hypothesis, identify potential data sources. 19. Key Tasks in Data Preparation - ANSWER Create analytic sandbox, select relevant data sources, profile, clean, and transform data, apply ELT (Extract, Load, Transform). 20. Descriptive Analytics - ANSWER Summarize past data ('What happened?') 21. Diagnostic Analytics - ANSWER Find causes ('Why did it happen?') 22. Predictive Analytics - ANSWER Forecast future ('What might happen?') 23. Prescriptive Analytics - ANSWER Suggest actions ('What should we do?') 24. Exploratory Analytics - ANSWER Discover patterns without a set question 25. Data Analyst - ANSWER Main Goal: Turn raw data into insights. 26. Business Intelligence Analyst (BI Analyst) - ANSWER Main Goal: Inform business decisions with data. 27. Decision Scientist - ANSWER Main Goal: Model decisions mathematically. 28. Machine Learning Engineer - ANSWER Main Goal: Develop AI models for predictions. 29. Data Engineer - ANSWER Main Goal: Build infrastructure for data use. 30. Data Scientist - ANSWER Main Goal: Solve business problems using data science. 31. KPI - ANSWER Tracks performance toward goals. 32. A/B Testing - ANSWER Compare two options for effectiveness. 33. Holdout Testing - ANSWER A/B testing where one group is a no-change control. 34. Algorithm - ANSWER A set of steps to solve a problem. 35. Variables - ANSWER Data containers for values. 36. Data Lakes - ANSWER Storage for large, raw data (structured/unstructured). 37. Stakeholders - ANSWER Individuals/groups affected by or able to affect a project. 38. Project Sponsor - ANSWER High-level executive ensuring project aligns with company goals. 39. Project Manager - ANSWER Leads day-to-day operations and bridges team and stakeholders.