Objective 1.3 Classify a Question into a Known Data Science Problem CERTIFIED-DATA-SCIENCE-PRACTITIONER Practice Questions (Page 8)

Questions 36–40

1. 36foundation · easy

   Which of the following is an example of image data?

   • AA collection of customer reviews in text
   • BA spreadsheet of customer ages
   • CA log file of server errors
   • DA set of X-ray scans of patients
   Reveal Solution Discussion Select an answer first
2. 37application · medium

   A healthcare provider wants to predict patient readmission risk within 30 days of discharge. They have internal electronic health records (EHR) with patient demographics, diagnoses, and prior admissions. They also want to incorporate external socioeconomic data from public census datasets to improve accuracy. Which data sources are most relevant for this problem?

   • AInternal EHR data combined with external public census data
   • BOnly external census data, as it is more comprehensive than EHR data
   • CInternal EHR data and social media posts from patients
   • DOnly internal EHR data, as external data is rarely useful for clinical predictions
   Reveal Solution Discussion Select an answer first
4. 38foundation · easy

   Which of the following best describes the goal of a classification problem?

   • ATo group similar data points without predefined labels
   • BTo assign data to predefined categories or classes
   • CTo predict a continuous numerical value
   • DTo find the best solution under constraints
   Reveal Solution Discussion Select an answer first
5. 39foundation · easy

   A marketing team wants to divide its customers into distinct groups based on purchasing behavior, without any predefined customer segments. This is an example of which type of data science problem?

   • ASegmentation/Clustering
   • BForecasting
   • CRegression
   • DClassification
   Reveal Solution Discussion Select an answer first
6. 40application · medium

   A real estate firm wants to estimate the market value of homes based on square footage, number of bedrooms, location, and age. They have a dataset of 10,000 recently sold homes with these attributes and their final sale prices. Which problem type and data type combination is most appropriate?

   • AClustering on continuous features to group similar homes
   • BRegression on continuous numerical target (sale price) with structured features
   • CClassification on categorical target (sale price) with structured features
   • DForecasting on time-series sale price data
   Reveal Solution Discussion Select an answer first