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Data Science Tools Cognitive Class Exam Answers:-

Course Name:- Data Science Tools

Module 1. Language of Data Science

Question 1.Which of the following statements is true?

  • 80% of data scientists worldwide use Python.
  • Python is useful for AI, machine learning, web development, and IoT.
  • Python is the most popular language in data science.
  • Keras, Scikit-learn, Matplotlib, Pandas, and TensorFlow are all built with Python.
  • All of the above

Question 2. Which of the following are SQL databases? (Select all that apply.)

  • MongoDB
  • MariaDB
  • MySQL
  • PostgreSQL
  • CouchDB
  • Oracle

Question 3. Which statements are true about Open Source and Free Software? (Select all that apply.)

  • Free Software and Open Source can be used interchangeably.
  • Free Software can always be run, studied, modified and redistributed with or without changes.
  • Most of Free Software licenses also qualify for Open Source.
  • Open Source Software can be modified without sharing the modified source code depending on the Open Source license.

Question 4. Is the following statement true or false: “R integrates well with other computer languages like C++, Java, C, .Net and Python.”

  • True
  • False

Question 5. Which of the following languages can be used for data science?

  • SQL
  • Java
  • Julia
  • R
  • Scala
  • Javascript
  • All of the above

Question 6.Which of the following is used to make Artificial intelligence and Machine Learning possible? (Select all that apply.)

  • Oracle
  • PyTorch
  • TensorFlow.js
  • Apache Spark
  • GNU
  • Caffe

Module 2. Data Science Tools

Question 1.Which of the following are common tasks in data science?

  • Data Management
  • Model Deployment
  • Data Integration and Transformation
  • Data Visualization
  • Model Monitoring and Assessment
  • Model Building
  • All of the above

Question 2. Which of the following are data management tools? (Select all that apply.)

  • GitHub
  • MySQL
  • PostgreSQL
  • KubeFlow
  • PixieDust

Question 3. Which of the following are Data Integration and Transformation tools? (Select all that apply.)

  • Cassandra
  • Apache Kafka
  • Apache Nifi
  • Apache AirFlow
  • Ceph

Question 4. Which statement about JupyterLab is correct?

  • JuypterLab can run R and Python code in addition to other programming languages.
  • JuypterLab can run R code only.
  • JuypterLab can run R and Python code only.
  • JuypterLab can run Python code only.

Question 5. Which statement about RStudio is correct?

  • RStudio is the primary choice for web development.
  • RStudio is the primary choice for development in the Python programming language.
  • RStudio is the primary choice for development in the R programming language.

Question 6. Which statements about IBM Watson Studio and OpenScale are correct? (Select all that apply.)

  • Watson Studio together with Watson OpenScale is a database management system.
  • Watson Studio together with Watson OpenScale covers the complete development life cycle for all data science, machine learning and AI tasks.
  • Watson Studio together with Watson OpenScale is available as a Cloud offering as well as a package running on top of Kubernetes/RedHat OpenShift in a local data center called IBM Cloud Pak for Data.

Module 3. Packages,APIs, Datasets and Models

Question 1. Which scientific computing library provides data structures and data analysis tools for Python?

  • Seahorse
  • YumPies
  • Pandas
  • TensorFlow

Question 2. What does the acronym API stand for?

  • Abstract Programming Interface
  • Abstract Python Interface
  • Algorithmic Programming Interface
  • Application Programming Interface

Question 3. True or False: Open data is always distributed under a Community Data License Agreement.

  • True
  • False

Question 4. Which of the following is not a type of Machine Learning?

  • Reinforcement learning
  • Supervised teaching
  • Unsupervised learning
  • Supervised learning

Question 5. Which of the following is NOT a deep learning framework?

  • Keras
  • PyTorch
  • TensorFlow
  • Tommy

Question 6. Fill in the blank: The MAX model-serving microservices expose a _________________ that applications use to consume a model.

  • Python API
  • Java API
  • REST API
  • Scala API

Module 4. GitHub

Question 1. Which of the following statements are true?

  • Git is an integrated development environment for data science.
  • Git is a system for version control of source code.
  • Git is very useful for data science as well since data science often involves a lot of source code to be written and managed.

Question 2. Which of the following statements about repositories are correct? (Select all that apply.)

  • The remote repository is only accessible by myself.
  • The local repository is only accessible by myself.
  • The staging is only accessible by myself.
  • The remote repository is accessible by all contributors.
  • The local repository is accessible by all contributors.

Question 3. What is the best process contributing a bugfix to a foreign repository?

  • Fork the repository, update the fork and create a pull request.
  • Send the fix via email to the author.
  • Ask the repository owner for write access to the repository.

Module 5. Jupyter Notebooks and Jupyter Lab

Question 1. Which of the following functions do Jupyter Notebooks unify?

  • Editing and display of documentation
  • Visualization of charts
  • Editing and execution of source code
  • All of the above

Question 2. Which statement is true about Jupyter Notebooks?

  • Jupyter Notebooks are a commercial product of IBM.
  • Jupyter Notebooks are free and open source.

Question 3. What is a Jupyter Notebook kernel?

Module 6. RStudio IDE

  • It is part of the operating system the Jupyter server runs on.
  • It is a wrapper running on the Jupyter server encapsulating the programming language interpreter.

Question 1.Which of the following functions does RStudio unify? (Select all that apply.)

  • Storing of data.
  • Editing and execution of source code.
  • Display of the R Console.
  • Visualization of plots.
  • Visualization of data in table form.

Question 2. Which statement is true about the R Studio IDE?

  • RStudio is a commercial product of IBM.
  • RStudio is free and open source.

Question 3.Which statement about R packages is correct?

  • R doesn’t require any packages to be installed since it contains all functionality necessary which a data scientists ever requires.
  • R currently supports more than 15,000 packages which can be installed to extend R’s functionality.

Module 7. Watson Studio

Question 1. Fill in the blank: In Watson Studio, a ____________ is how you organize your resources to achieve a particular goal. Resources can include data, collaborators, and analytic assets like notebooks and models.

  • Asset
  • Job
  • Notebook
  • Project

Question 2. Fill in the blank: It’s a best practice to remove or replace _____________ before publishing to GitHub.

  • Charts
  • Code cells
  • Markdown text
  • Credentials

Question 3. Which of the following do you need to create in order to publish a notebook to your GitHub repository?

  • Profile
  • Access token
  • Apps
  • Login credential

Question 4. Fill in the blank: If you’d like to schedule a notebook in Watson Studio to run at a different time you can create a(n) _____________.

  • Job
  • API
  • Markdown cell
  • Asset

Question 5. Fill in the blank: On the environments tab you can define the _________________.

  • Runtime configuration for notebook editor
  • Runtime configuration for flow editor
  • Hardware size
  • Software configuration
  • All of the above

Question 6. Fill in the blank: When sharing a read only version of a notebook, you can choose to share __________________.

  • Only text and output
  • All content including code
  • A permalink
  • All content, excluding sensitive code cells
  • All of the above

Question 7. Fill in the blank: When working in a Jupyter Notebook, before returning to a project, it’s important to ________________________.

  • Run cells
  • Save your notebook
  • Insert cells
  • Insert to code

Question 8. Fill in the blank: Before running a notebook, it’s a best practice to ____________ to describe what the notebook does.

  • Insert a cell at the top of the notebook
  • Insert a cell at the bottom of the notebook
  • Delete notebook cells
  • Refresh your page

Question 9. Fill in the blank: In the _____________ tab you can define the hardware size and software configuration for the runtime associated with Watson Studio tools such as notebooks.

  • Overview
  • Assets
  • Environments
  • Settings

Question 10.Fill in the blank: IBM Cloud uses ______________ as a way for you to organize your account resources in customizable groupings so that you can quickly assign users access to more than one resource at a time.

  • Resource groups
  • Services
  • Catalogs
  • Projects

Data Science Tools Cognitive Class Final Exam Answers:-

Question 1. Which are the three most used languages for data science? (Select all that apply.)

  • Java
  • R
  • Scala
  • Python
  • SQL

Question 2. Which of these is a database query language?

  • SQL
  • Python
  • Julia
  • All of the Above

Question 3.  Is it possible to use machine learning within a web browser with Javascript?

  • No
  • Yes

Question 4. Which of these is not a machine learning or deep learning library for Python?

  • Scikit-learn
  • PyTorch
  • Keras
  • NumPy

Question 5. Comma Separated Values (CSV) is a commonly used format to store:

  • Tabular data
  • Hierarchical or network data
  • All of the above

Question 6. Classification models can be used to determine whether:

  • an image contains a dog
  • a video contains a specific sound
  • an email is likely spam
  • All of the above

Question 7.Generally speaking, which type of model is used to predict a numerical value, such as the potential sales price of a used car?

  • Classification model
  • Regression model
  • Clustering model

Question 8. Fill in the blank: ________________ is the heart of every organization.

  • The cloud
  • Data
  • Integration
  • Open source

Question 9. What does the “BI” in BI Tools stand for?

  • Build Information
  • Business Intelligence
  • Build Integration
  • Business Integration

Question 10. Which of the following are true about Data Asset Management?

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

Question 11. Which are the two most used open source tools for data science? (Select all that apply.)

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

Question 12. What tool do most R developers use?

  • Jupyter Notebooks / JupyterLab
  • RStudio

Question 13. What tool do most Python developers use?

  • Jupyter Notebooks / JupyterLab
  • RStudio

Question 14. True or false? Jupyter Notebooks / JupyterLab support development in R.

  • True
  • False

Question 15. Which tool unifies documentation, source code and data visualizations into a single document?

  • Notepad
  • VSCode
  • Jupyter Notebooks / JupyterLab

Question 16. Which command is used to install packages in R?

  • install.package(“package name”)
  • install(“package name”)
  • package(“package name”)
  • install.packages(“package name”)

Question 17. Which of the following functions does RStudio provide?

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

Question 18. True or False: The Jupyter Notebook kernel must be installed on a local server.

  • True
  • False

Question 19. Which of the following statements about Jupyter Notebooks is correct?

  • Jupyter Notebooks are only available if installed locally on your computer.
  • Jupyter Notebooks support the Visualization of data in charts.
  • Jupyter Notebooks are a commercial product of IBM.
  • Jupyter Notebooks provide storage of massive quantities of data in data lakes.

Question 20. True or false? R studio supports development in Python.

  • True
  • False

Question 21. Which feature in Watson Studio helps to keep track of and discover relevant Machine Learning assets?

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

Question 22. Fill in the blank: If you’d like to schedule a notebook in Watson Studio to run at a different time you can create a(n) ________.

  • API
  • markdown cell
  • job
  • asset

Question 23. Fill in the blank: In the __________ tab you can define the hardware size and software configuration for the runtime associated with Watson Studio tools such as Notebook.

  • settings
  • assets
  • environments
  • overview

Question 24.  Fill in the blank: It’s a best practice to remove or replace _____________ before publishing to GitHub.

  • credentials
  • charts
  • markdown text
  • code cells

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