Final Quiz

📌 SQL is what type of query language?

• Cypher
• Database
• Contextual
• Access

📌 PyTorch is what type of Python library?

• Linear algebra
• Machine learning
• HTTP
• Data visualization

📌 How is the R programming language different than Python?

• It is a general purpose language
• It was built by statisticians and their specific language
• It’s primary objective is deployment and production

📌 Which of the following functions does RStudio provide?

• Documenting R code applications.
• Creating relationships between data tables.
• Editing and execution of R code.
• Storing data in tables.

📌 What type of file format is a Jupyter Notebook?

• .doc
• .ppt
• .ipynb
• .xlsx

📌 Which feature in Watson Studio helps to keep track of and discover relevant Machine Learning assets?

• Watson Knowledge Catalog
• Modeler Flows
• All of the above
• OpenScale
• AutoAI

📌 What are some of the Data Refinery abilities when working with data?

• Analyzes data but cannot be saved for future use
• Can only analyze small amounts of data at a time
• Analyzes and transforms data quickly
• Analyzes data but takes longer to prepare

📌 What does SPSS stand for?

• Statistical Packing for the Social Sciences
• Statistical Package for the Social Sciences
• Statistical Package for the Social Society
• Static Package for the Social Sciences

📌 What does SQL stand for?

• Strong Query Language
• Structured Quick Language
• Structured Query Language
• Structured Quadrant Language

📌 Which of these is not a machine learning or deep learning library for Python?

• NumPy
• Scikit-learn
• Keras
• PyTorch

📌 Which of the following are true about Data Asset Management?

• Also known as data governance.
• A crucial part of data science at the enterprise level.
• To be done effectively data must be versioned and annotated with meta data.
• All of the above.

📌 What open source tool was developed and built by statisticians?

• Jupyter Notebooks / JupyterLab
• Spyder
• Notepad
• VSCode
• RStudio

📌 What tool do most R developers use?

• RStudio
• Jupyter Notebooks / JupyterLab

📌 What does the acronym “Jupyter” mean in Jupyter Notebooks?

• Julia, PHP and R
• Javascript, Python and R
• Julia, Python and R
• Julia, Python and Ruby

📌 What capability monitors and manages models to operate trusted AI?

• Modeler Flows
• AutoAI
• OpenScale
• Watson Knowledge Catalog

📌 How does Data Refinery help build repeatable Data Pipelines for workloads of almost any size?

• Not supported.
• Only a fixed workload size is supported.
• Manually write APIs to provide automation.
• Feature is available only in the UI, not API.
• Create a scheduled Job and use a custom environment to run the data flow/pipeline on different workloads.

📌 What Modeler flow includes data management capabilities and visualization?

• All of the above
• Charts
• Graphical user interface
• SPSS syntax
• SPSS Modeler streams

📌 Which of these is a database query language?

• Julia
• Python
• SQL
• All of the Above

📌 Which of these is a machine learning or deep learning library for Python?

• NumPy
• Scikit-learn
• Requests
• Pandas

📌 What type of model is used to predict a target variable with two classes?

• Clustering model
• Regression model
• Classification model

📌 What is Data Asset Management also known as?

• Perimeter security
• Data governance
• Data stewardship
• Data strategy

📌 Which are the two most used open source tools for data science?

• Notepad
• RStudio
• Jupyter Notebooks / JupyterLab
• Spyder
• VSCode

📌 How is the R programming language different than Python?

• It was built by statisticians and their specific language
• It is a general purpose language
• It’s primary objective is deployment and production

📌 Storing data in tables in a function that RStudio provides.

• No
• Yes

📌 What does the acronym “Jupyter” mean in Jupyter Notebooks?

• Javascript, Python and R
• Julia, Python and Ruby
• Julia, PHP and R
• Julia, Python and R

📌 Which feature in Watson Studio helps to keep track of and discover relevant Machine Learning assets?

• All of the above
• OpenScale
• AutoAI
• Watson Knowledge Catalog
• Modeler Flows

📌 What are some of the Data Refinery abilities when working with data?

• Analyzes data but takes longer to prepare
• Analyzes data but cannot be saved for future use
• Can only analyze small amounts of data at a time
• Analyzes and transforms data quickly

📌 What type of node is used to partition the data into a training and testing set in Modeler flows?

• A partition node
• A type node
• A data source node
• All of the above
• Auto data prep node

📌 What software package is used specifically to analyze data related to social sciences?

• SPSS
• Modelers
• Graphical user interface
• Charts