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
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
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