ETL Process and Data Transformation Quiz
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Questions and Answers

What is the main goal during the Discovery phase of Data Analytics Lifecycle?

  • Visualize the data
  • Communicate results to peers
  • Select methods based on hypotheses (correct)
  • Determine if there is enough information to draft an analytic plan
  • What is a critical step during the Data Preparation phase of the Data Analytics Lifecycle?

  • Checking if there is enough good quality data (correct)
  • Visualizing the data
  • Refining the analytic plan
  • Ensuring techniques meet business objectives
  • What is the primary purpose of Formulating Hypotheses in the Data Analytics process?

  • Selecting methods based on hypotheses
  • Sharing results with peers
  • Identifying a logical structure for data analysis (correct)
  • Ensuring the techniques meet business objectives
  • Why is Data Exploration important in the Data Analytics Lifecycle?

    <p>To identify and document modeling assumptions</p> Signup and view all the answers

    During which phase of the Data Analytics Lifecycle do you determine if you have enough information to draft an analytic plan?

    <p>Discovery</p> Signup and view all the answers

    What is a key consideration when selecting methods during the Data Preparation phase?

    <p>Ensuring techniques and approach meet business objectives</p> Signup and view all the answers

    In the Discovery phase of the Data Analytics Lifecycle, what is the primary goal for the analytic team?

    <p>Determine the needed transformations and assess data quality</p> Signup and view all the answers

    When planning the ETL process, which approach typically loads raw data into the sandbox first and then performs transformations?

    <p>ELT (Extract, Load, and Transform)</p> Signup and view all the answers

    During the Data Preparation phase, which of the following questions is most important to answer before building the model?

    <p>Do I have enough good quality data to start building the model?</p> Signup and view all the answers

    Which of the following is NOT a useful tool for data transformation and cleansing during the Data Preparation phase?

    <p>Microsoft Excel</p> Signup and view all the answers

    When conducting the Data Sponsor Interview during the Discovery phase, which of the following questions is the most important to ask?

    <p>Do I have enough information to draft an analytic plan and share it for peer review?</p> Signup and view all the answers

    In the Data Exploration phase, which of the following activities is the most important to perform before formulating hypotheses?

    <p>Recognize the data thoroughly and understand its structure</p> Signup and view all the answers

    Which of the following is the primary goal of the Discovery phase in the Data Analytics Lifecycle?

    <p>To capture the essence of the predictors and leverage dimensionality reduction techniques</p> Signup and view all the answers

    What is the main purpose of engaging with stakeholders and domain experts during the Discovery phase?

    <p>To capture the key predictors and ensure the model aligns with business needs</p> Signup and view all the answers

    Which of the following is a key consideration during the Data Preparation phase of the Data Analytics Lifecycle?

    <p>Developing data sets for testing, training, and production purposes</p> Signup and view all the answers

    Which of the following is a crucial step in the Model Planning phase of the Data Analytics Lifecycle?

    <p>Determining if the analyst has a good idea about the type of model to try and refining the analytic plan accordingly</p> Signup and view all the answers

    What is the primary purpose of the Data Exploration phase in the Data Analytics Lifecycle?

    <p>To assess the quality and suitability of the available data for building the model</p> Signup and view all the answers

    Which of the following is a key consideration during the Model Building phase of the Data Analytics Lifecycle?

    <p>Establishing the best environment for building models and workflows, including fast hardware and parallel processing</p> Signup and view all the answers

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