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Dell Data Science Foundations

Domain 2Objective 3

Data Preparation - Describe Details of This Phase, Including Activities and Associated Roles DATA-SCIENCE-FOUNDATIONS Practice Questions (Page 3)

Part of the Data Analytics Lifecycle domain, which accounts for 8% of the DATA-SCIENCE-FOUNDATIONS exam.

19questions here
4free pages
3concepts
8%of the exam

Questions 11–15

  1. 11application · medium

    A healthcare analytics team is preparing patient data for a readmission prediction model. The data engineer has built the ingestion pipeline, but the data scientist needs to understand the clinical meaning of certain diagnosis codes. Which team member is BEST suited to clarify the meaning of these codes?

    Select an answer first
  2. 12application · medium

    A retail analytics team is in the data preparation phase. The data engineer has cleaned the data, but the business analyst needs to ensure that the data aligns with the business definitions (e.g., what counts as a 'sale'). Which team member should validate the business definitions?

    Select an answer first
  3. 13application · easy

    A logistics company is starting a new analytics project to optimize delivery routes. The team has just collected GPS data from delivery vehicles. According to the data analytics lifecycle, what is the immediate next step after data collection?

    Select an answer first
  4. 14application · medium

    A financial services firm is preparing transaction data for fraud detection. The data engineer has built the pipeline, but the data scientist needs to ensure that the features used in the model are correctly calculated. Who is primarily responsible for defining the feature engineering requirements?

    Select an answer first
  5. 15expert · hard

    A healthcare analytics team is preparing patient data for a clinical trial analysis. The data engineer has cleaned the data, but the data scientist needs to ensure that the data is de-identified to comply with privacy regulations. The business analyst is concerned that de-identification may reduce the data's usefulness. What is the BEST approach?

    Select an answer first
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