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WGU D491 INTRODUCTION TO ANALYTICS OA STUDY GUIDE AND EXAMS WITH ACTUAL CORRECT QUESTIONS AND VERIFIED DETAILED RATIONALES ANSWERS LATEST 2024 ALREADY GRADED A+ GUARANTEED PASS 100% $20.49
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WGU D491 INTRODUCTION TO ANALYTICS OA STUDY GUIDE AND EXAMS WITH ACTUAL CORRECT QUESTIONS AND VERIFIED DETAILED RATIONALES ANSWERS LATEST 2024 ALREADY GRADED A+ GUARANTEED PASS 100%

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WGU D491 INTRODUCTION TO ANALYTICS OA STUDY GUIDE AND EXAMS WITH ACTUAL CORRECT QUESTIONS AND VERIFIED DETAILED RATIONALES ANSWERS LATEST 2024 ALREADY GRADED A+ GUARANTEED PASS 100%

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  • January 21, 2024
  • 114
  • 2023/2024
  • Exam (elaborations)
  • Questions & answers

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  • wgu d491
  • wgu d491 introduction to analytics oa study guide
  • wgu d491 introduction to analytics oa
  • latest 2024 already graded a guaranteed pass 10

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  • WGU D491 INTRODUCTION TO ANALYTICS OA
  • WGU D491 INTRODUCTION TO ANALYTICS OA

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WGU D491 INTRODUCTION TO ANALYTICS OA STUDY GUIDE AND EXAMS WITH A CTUAL CORRECT QUESTIONS AND VERIFIED DETAILED RATIONALES ANSWERS LATEST 2024 ALREADY GRADED A+ GUARANTEED PASS 100% What is the function of a data scientist in an organization? - To design and maintain data visualizations and dashboards - To oversee data governance and compliance - To work independently to analyze data and make decisions based on their findings - To conduct statistical analysis and machine learning modeling To conduct statistical analysis and machine learning modeling What is the role of a business intelligence analyst? - Overseeing data governance and compliance - Developing and implementing data processing pipelines - Designing and maintaining data visualizations and dashboards - Conducting statistical analysis and machine learning modeling Designing and maintaining data visualizations and dashboards What is a primary responsibility of a data eng ineer? - Designing and implementing data storage solutions - Designing and developing data visualizations for stakeholders - Analyzing and interpreting data to inform business decisions - Developing predictive models using machine learning algorithms Desig ning and implementing data storage solutions What is a primary responsibility of a machine learning engineer? - Developing predictive models using machine learning algorithms - Analyzing and interpreting data to inform business decisions - Designing and de veloping data visualizations for stakeholders - Designing and implementing data storage solutions Developing predictive models using machine learning algorithms What is a primary responsibility of a machine learning engineer? - To pilot the model, refine i t, and fully deploy it - Designing and maintaining data visualizations and dashboards - Developing predictive models using machine learning algorithms - Business domain knowledge and communication Developing predictive models using machine learning algorit hms What is the role and function of a decision scientist within an organization? - To oversee the company's human resources and ensure employee satisfaction - To analyze data and provide insights to support informed decision -making - To develop marketing strategies and increase sales revenue - To manage the company's finances and ensure profitability To analyze data and provide insights to support informed decision -making What is a primary responsibility of a data analyst? - Developing data visualizations for stakeholders - Designing and implementing data storage solutions - Conducting statistical analysis to identify patterns and trends - Developing predictive models using machine learning algorithms Conducting statistical analysis to identify patterns and trends What component of a data analytics project is typically completed by a data analyst? - To collect and store data for the organization - To make decisions based on the insights derived from data analysis - To clean and preprocess data to prepare it for analysis - To design and implement machine learning algorithms To clean and preprocess data to prepare it for analysis Which task is the data analyst responsible for within a data analysis project? - Developing and implementing software applications - Conducting statistical analyses and generating reports - Creating the project's overall goals and objectives - Collecting, cleaning, and loading customer data into a data warehouse Conducting statistical analyses and generating reports Which data migration skill is necessary for database administrators? - Ensuring that the database remains secure - Developing and implementing database software - Transferring data between different systems or formats - Troubleshooting network issues within the system Transfe rring data between different systems or formats Which job skill is necessary for a researcher in a data analytics project? - Analyzing and interpreting data to inform questions - Designing and implementing data storage solutions - Identifying business need s and requirements - Ensuring data privacy and security Analyzing and interpreting data to inform questions What are the necessary skills for partners in a data analytics project? - Machine learning algorithm development - Data visualization and dashboard development - Cloud infrastructure management and automation - Business domain knowledge and communication Business domain knowledge and communication Which groups make up the key stakeholders in a data analytics project? - Shareholders and investors - Project team members and senior management - Competitors and regulatory agencies - Manufacturers and suppliers Project team members and senior management What role do stakeholders play in the project cycle? - Create the project plan and schedule - Define t he project scope and objectives - Execute the project tasks - Provide guidance and feedback throughout the project Provide guidance and feedback throughout the project Which stakeholder should conduct literature reviews for a data analytics project? - Data base administrator - End user - Project sponsor - Researcher Researcher Why is a project sponsor a key stakeholder in a data analytics project? - They ensure that the project aligns with business goals and objectives. - They provide funding for the projec t. - They are the primary users of the project's outputs. - They are responsible for implementing the project. They ensure that the project aligns with business goals and objectives. How does a data analyst interact with stakeholders during a data analytic s project? - By presenting data analysis results in an easily understandable format - By providing technical details of data analysis methods - By making decisions on behalf of stakeholders - By delegating tasks to stakeholders By presenting data analysis results in an easily understandable format What role does a project manager play within a data analytics project? - Oversee the project team and ensure the project is completed on time and within budget - Provide funding and resources for the project - Interpret the project results and make recommendations for future projects - Collect and analyze data Oversee the project team and ensure the project is completed on time and within budget How do stakeholders interact with data analytics projects? - By provi ding funding for the project - By providing consultations at the start of the project - By providing input throughout the project lifecycle - By providing finances to complete data visualizations By providing input throughout the project lifecycle Why are financial operation stakeholders important in a data analytics project? - They provide financial resources for the project. - They are responsible for data cleaning and migration within a project. - They help design and implement data analytics projects. - They interpret data and provide insights to improve financial performance. They interpret data and provide insights to improve financial performance. In which phase of the data mining process does the data science team investigate the problem, develop context and understanding, learn about available data sources, and formulate initial hypotheses? Model execution Data preparation Model planning Discovery Discovery What is the primary purpose of the discovery phase in the data science process? To develop int eractive visualizations for stakeholder presentations To evaluate and optimize data -driven predictive models To clean and preprocess the data for analysis To understand the business problem and develop initial hypotheses To understand the business problem and develop initial hypotheses Which question of interest is appropriate for a data analytics project to increase a store's sales? What are the store's best -selling products? Should the store expand to a new location? Which customer segments will most like ly respond to a marketing campaign? How can the store's social media presence be improved?

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