Objective 1.3 Classify a Question into a Known Data Science Problem CERTIFIED-DATA-SCIENCE-PRACTITIONER Practice Questions (Page 1)

Questions 1–5

1. 1application · medium

   A manufacturing company wants to detect defective products on an assembly line using photos of each item. They have thousands of labeled images (defective/non-defective). Which problem type and data type combination is most appropriate?

   • AClustering using image data to find defect patterns
   • BRegression using image data to predict defect severity
   • COptimization using image data to minimize defects
   • DClassification using image data with convolutional neural networks
   Reveal Solution Discussion Select an answer first
2. 2foundation · easy

   Which of the following best describes a characteristic of text data?

   • AIt always has a fixed schema with numerical values
   • BIt consists of audio signals
   • CIt is represented as a grid of pixels
   • DIt is composed of sequences of characters, words, and sentences
   Reveal Solution Discussion Select an answer first
4. 3expert · hard

   A city government wants to predict traffic congestion levels to optimize signal timing. They have internal data from traffic sensors and cameras. They also want to incorporate external data. Which external data source is most relevant, and what type of data is it?

   • AWeather data (structured numerical) and social media posts (unstructured text) for event detection
   • BCensus data (structured categorical) to understand commuting patterns
   • COnly social media posts (unstructured text), as they provide real-time information
   • DOnly weather data (structured numerical), as social media is not reliable
   Reveal Solution Discussion Select an answer first
5. 4foundation · easy

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

   • ATo find the best solution under constraints
   • BTo predict a continuous numerical outcome
   • CTo assign data to predefined categories
   • DTo group similar data points without labels
   Reveal Solution Discussion Select an answer first
6. 5application · medium

   A news organization wants to automatically categorize articles into topics (sports, politics, technology). They have a collection of article text files. What type of data are they working with, and what is its primary characteristic?

   • AImage data, which requires pixel-level feature extraction
   • BUnstructured text data, which requires preprocessing like tokenization and vectorization
   • CStructured text data, which can be used directly in a model without preprocessing
   • DNumerical data, which is inherently model-ready
   Reveal Solution Discussion Select an answer first