tools for data science coursera week 1 quiz answers

Practice Quiz - Data Science Tools

1. Which Data Science category do you extract, transform, and load data?

  • Model Building
  • Data Integration and Transformation
  • Data Visualization
  • Data Management

2. Which open-source tool is the standard used for code asset management?

  • MySQL
  • Git
  • Apache PredictionIO
  • ModelDB

3. Which open source tool supports more than a hundred different programming languages through “kernels”?

  • Apache Spark
  • Jupyter
  • RStudio
  • Spyder

4. Which commercial tool can be used to define and execute data integration processes in a spreadsheet-style?

  • SPSS Modeler
  • Oracle Database
  • RStudio
  • Watson Studio Desktop

5. Which service offers a document data structure format?

  • JSON
  • Data Refinery
  • DataMeer
  • Db2

Graded Quiz - Data Science Tools

6. Which Data Science category enables you to present data in the form of charts, plots, and maps?

  • Data Visualization
  • Model Building
  • Data Management
  • Data Integration and Transformation

7. Which Data Science category uses tools like Fiddler to track the performance of deployed models in a production environment?

  • Data Integration and Transformation
  • Data Visualization
  • Model Monitoring

8. Which open-source tool is used for model deployment?

  • Git
  • MySQL
  • Apache PredictionIO
  • ModelDB

Shuffle Q/A 1

9. Which open-source tool is used to version data and annotate the data with metadata?

  • Hue
  • Apache Atlas
  • Apache AirFlow
  • Kubernetes

10. Which feature differentiates Apache Zeppelin from Jupyter Notebooks?

  • Ability to open different types of files
  • Ability to unify programming, execution, and debugging into one tool
  • Ability to unify documentation and code in a single document
  • Plotting capability

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