MCQs

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Overall MCQs for Reference

1. Which is the most commonly used platform for Python-based machine learning environment setup?
   a. Anaconda
   b. MATLAB
   c. Excel
   d. Hadoop
   Answer: a. Anacondaanaconda​
2. Why are virtual environments important in ML development?
   a. Increase code speed
   b. Isolate dependencies
   c. Make code colorful
   d. Reduce RAM usage
   Answer: b. Isolate dependencieslearning.jozu+1​
3. Which tool assists with managing packages and environments in Python for ML?
   a. npm
   b. pip
   c. gem
   d. gradle
   Answer: b. pipdailydoseofds​
4. What is the first step when setting up an ML environment using Anaconda?
   a. Download Anaconda
   b. Install CUDA Toolkit
   c. Install Java
   d. Buy a GPU
   Answer: a. Download Anacondapythongeeks+1​
5. What does the command “conda create -n myenv python=3.8” do?
   a. Creates a dataset
   b. Creates a Python virtual environment
   c. Installs TensorFlow
   d. Deletes files
   Answer: b. Creates a Python virtual environmentanaconda​
6. Which cloud service can be used for machine learning development environments?
   a. Dropbox
   b. AWS SageMaker
   c. WhatsApp
   d. WordPress
   Answer: b. AWS SageMakeraws.amazon+1​
7. Which advantage does Docker offer for ML environments?
   a. Increases GPU speed
   b. Containerization for consistency
   c. Encrypts datasets
   d. Optimizes RAM usage
   Answer: b. Containerization for consistencyyoutube​dailydoseofds​
8. Which IDE is commonly used for ML in Python?
   a. BlueJ
   b. Visual Studio Code
   c. Dreamweaver
   d. DevC++
   Answer: b. Visual Studio Codelearn.microsoft​
9. Purpose of the “requirements.txt” file in ML setup?
   a. Stores data
   b. Lists package dependencies
   c. Runs Python code
   d. Increases accuracy
   Answer: b. Lists package dependenciesdailydoseofds​
10. Which environment management tool is native to Python?
    a. venv
    b. Maven
    c. Ant
    d. Make
    Answer: a. venvdailydoseofds​
11. What is the main role of “Jupyter Notebook” in ML?
    a. Database management
    b. Interactive code development
    c. Software compilation
    d. Encryption
    Answer: b. Interactive code developmentlearn.microsoft​
12. Which package provides GPU acceleration for deep learning in Python environments?
    a. matplotlib
    b. cuDNN
    c. seaborn
    d. pandas
    Answer: b. cuDNNpythongeeks​
13. How do you activate a virtual environment created with Anaconda?
    a. conda activate <env_name>
    b. git push
    c. python run
    d. pip install <env>
    Answer: a. conda activate <env_name>anaconda​
14. Which ML library often requires CUDA toolkit installation for GPU use?
    a. scikit-learn
    b. TensorFlow
    c. NLTK
    d. pandas
    Answer: b. TensorFlowpythongeeks+1​
15. Azure Machine Learning provides which type of development workstation?
    a. Online IDE only
    b. Data Science Virtual Machine
    c. Mobile app
    d. Browser game
    Answer: b. Data Science Virtual Machinelearn.microsoft​
16. To maintain reproducibility in ML experiments, what should be versioned?
    a. Only the dataset
    b. Code and environment
    c. Just Python scripts
    d. Log files
    Answer: b. Code and environmentlearning.jozu+1​
17. Why use “environment.yml” in a Conda-based ML project?
    a. To write documentation
    b. To specify environment dependencies
    c. To store datasets
    d. To make graphs
    Answer: b. To specify environment dependenciesanaconda​
18. Which programming language is most commonly used for ML environment setup?
    a. HTML
    b. Python
    c. C++
    d. PHP
    Answer: b. Pythonexamradar+1​
19. Which is NOT a common ML library for Python?
    a. NumPy
    b. pandas
    c. flutter
    d. scikit-learn
    Answer: c. flutteranaconda​
20. What’s the benefit of isolating ML environments per project?
    a. Speeds up training
    b. Prevents package conflicts
    c. Improves internet speed
    d. Increases disk size
    Answer: b. Prevents package conflictslearning.jozu+1​
21. For ML, which notebook interface is popular on cloud platforms?
    a. Jupyter
    b. Notepad
    c. TextEdit
    d. Chrome
    Answer: a. Jupyterdatacamp+1​
22. Which command installs TensorFlow with pip?
    a. pip install tensorflow
    b. conda create tensorflow
    c. python tensorflow
    d. make tensorflow
    Answer: a. pip install tensorflowlearn.microsoft+1​
23. Which company provides SageMaker for ML environment setup?
    a. Google
    b. Amazon
    c. Microsoft
    d. Apple
    Answer: b. Amazonaws.amazon+1​
24. What is the utility of “virtualenv” in ML?
    a. Manages virtual environments
    b. Encrypts files
    c. Creates datasets
    d. Makes graphs
    Answer: a. Manages virtual environmentsdailydoseofds​
25. What does “pip freeze > requirements.txt” generate?
    a. Dataset
    b. Script
    c. List of installed packages
    d. Passwords
    Answer: c. List of installed packagesdailydoseofds​
26. Which tool is best for managing large datasets and distributed ML quickly?
    a. Excel
    b. Apache Spark
    c. Word
    d. GitHub
    Answer: b. Apache Sparklearn.microsoft​
27. Which feature is central to Anaconda Navigator?
    a. Cloud storage
    b. GUI for managing environments and packages
    c. Text editing
    d. Remote desktop
    Answer: b. GUI for managing environments and packagesanaconda​
28. Which shell command lists all Conda environments?
    a. conda env list
    b. conda show envs
    c. env display
    d. showenv
    Answer: a. conda env listanaconda​
29. If running ML in a secured production environment, which practice is recommended?
    a. Never use encryption
    b. Always enable resource tagging and access control
    c. Disable version control
    d. Share credentials publicly
    Answer: b. Always enable resource tagging and access controlaws.amazon+1​
30. What’s the purpose of cloud-based ML workspaces?
    a. Centralized environment management
    b. Faster internet
    c. LAN protocols
    d. Text encryption
    Answer: a. Centralized environment managementlearn.microsoft+1​
31. Which orchestrator is widely used to manage containerized ML workloads?
    a. Kubernetes
    b. Hadoop
    c. MySQL
    d. MongoDB
    Answer: a. Kubernetesyoutube​
32. Why prefer using “Docker images” for deployment?
    a. They are faster than raw code
    b. Portability and consistency
    c. Free GPU
    d. Encrypted logs
    Answer: b. Portability and consistencyyoutube​dailydoseofds​
33. Which is a best practice for organizing ML code projects?
    a. Single flat script
    b. Structured modules and directories
    c. No comments
    d. One giant notebook
    Answer: b. Structured modules and directoriesdailydoseofds​
34. What security practice is suggested for sensitive ML environments?
    a. Use public Wi-Fi
    b. Encrypt data in transit and at rest
    c. Use outdated software
    d. Disable logging
    Answer: b. Encrypt data in transit and at restaws.amazon​
35. CI/CD pipelines in ML environments help with:
    a. Data encryption
    b. Automated testing and deployment
    c. Slower training
    d. Disabling notifications
    Answer: b. Automated testing and deploymentyoutube​
36. What should be frequently updated to avoid software vulnerabilities in ML setup?
    a. Datasets
    b. Libraries and dependencies
    c. Presentation slides
    d. Video files
    Answer: b. Libraries and dependencieslearning.jozu+1​
37. Which is a cross-platform tool for ML environment setup?
    a. Anaconda
    b. Windows-only installer
    c. Notepad++
    d. Photoshop
    Answer: a. Anacondaanaconda​
38. Which environment variable is often set for GPU usage?
    a. CUDA_HOME
    b. PATH
    c. JAVA_HOME
    d. TEMP
    Answer: a. CUDA_HOMEpythongeeks​
39. What’s a recommended source control practice for ML environments?
    a. Tracking code/scripts and environment files
    b. Only datasets
    c. Just screenshots
    d. Ignore all files
    Answer: a. Tracking code/scripts and environment filesdailydoseofds​
40. What does the “.ipynb” file extension indicate?
    a. Jupyter Notebook file
    b. PDF Document
    c. Word Document
    d. Shell Script
    Answer: a. Jupyter Notebook filelearn.microsoft​
41. What is the main advantage of using cloud ML platforms like Azure or AWS?
    a. Unlimited free storage
    b. Scalable compute and easy deployment
    c. Free GPU always
    d. Static RAM
    Answer: b. Scalable compute and easy deploymentdatacamp+1​
42. What is a common ML development workflow step after environment setup?
    a. Install required libraries
    b. Play games
    c. Adjust monitor brightness
    d. Write HTML code
    Answer: a. Install required librarieslearning.jozu+1​
43. Which platform natively provides ML-focused virtual machines pre-installed for development?
    a. Azure
    b. WhatsApp
    c. WordPress
    d. Instagram
    Answer: a. Azurelearn.microsoft​
44. For notebook sharing, which format should be exported from Jupyter?
    a. .ipynb
    b. .csv
    c. .zip
    d. .mp4
    Answer: a. .ipynblearn.microsoft​
45. Which is not recommended when setting up an ML environment?
    a. Ignoring dependency versions
    b. Using virtual environments
    c. Tracking environment files
    d. Using package managers
    Answer: a. Ignoring dependency versionslearning.jozu+1​
46. What cloud-based tool aids with easy ML pipeline integration and collaboration?
    a. AWS SageMaker
    b. Excel Online
    c. Google Keep
    d. Notepad++
    Answer: a. AWS SageMakerdatacamp+1​
47. Which YAML file is key for managing Conda environments in ML projects?
    a. environment.yml
    b. index.yml
    c. config.yml
    d. run.yml
    Answer: a. environment.ymlanaconda​
48. Which command installs a package in a specific Conda environment?
    a. conda install -n <env> <package>
    b. pip start <package>
    c. start <env>
    d. run conda <package>
    Answer: a. conda install -n <env> <package>anaconda​
49. Which is central for tracking experiment results in ML environments?
    a. Logging and versioning
    b. Ignoring results
    c. Deleting history
    d. File downloads
    Answer: a. Logging and versioninglearn.microsoft+1​
50. What is a robust way to maintain consistency across ML workspaces in a team?
    a. Use shared environment files
    b. Avoid documentation
    c. Use random package versions
    d. Disable updates
    Answer: a. Use shared environment fileslearning.jozu+1​

1. https://www.anaconda.com/guides/machine-learning-software
2. https://learning.jozu.com/tutorial/a-guide-to-machine-learning-system-design-and-best-practices/
3. https://www.dailydoseofds.com/how-to-structure-your-code-for-machine-learning-development/
4. https://pythongeeks.org/machine-learning-environment-setup/
5. https://aws.amazon.com/blogs/mt/setting-up-machine-learning-environments-aws/
6. https://www.datacamp.com/blog/most-popular-machine-learning-tools
7. https://www.youtube.com/watch?v=b_qOpMEVGt0
8. https://learn.microsoft.com/en-us/azure/machine-learning/how-to-configure-environment?view=azureml-api-2
9. https://examradar.com/basics-of-programming-concepts-and-languages-mcqs/
10. https://learn.microsoft.com/en-us/azure/well-architected/service-guides/azure-machine-learning
11. https://www.interviewbit.com/machine-learning-mcq/
12. https://www.sanfoundry.com/1000-machine-learning-questions-answers/
13. https://aticleworld.com/machine-learning-mcq/
14. https://diptisurvase.wordpress.com/wp-content/uploads/2022/09/ml-mcqs.pdf
15. https://aimcqs.com/machine-learning
16. https://technicalblog.in/languagewise-mcqs/machine-learning-mcqs/
17. https://www.reddit.com/r/MachineLearning/comments/kq2yva/d_best_practices_for_ml_research_projects/
18. https://www.scribd.com/document/512977404/MCQ-of-Machine-Learning
19. https://www.geeksforgeeks.org/machine-learning/machine-learning/
20. https://www.studocu.com/in/document/shivaji-university/computer-science/machine-learning-mcq-questions-and-answers/29821794