ML System Design Simplified: 10 Beginner Questions — Questions & Answers

This quiz contains 10 questions. Below is a complete reference of all questions, answer choices, and correct answers. You can use this section to review after taking the interactive quiz above.

1. Question 1: Understanding Components

   Which of the following is typically responsible for transforming raw data into a usable format in a machine learning system?

   • A. Data preprocessing module
   • B. Result visualization block
   • C. Model inference controller
   • D. Feedback loop engine
   • E. Error logging thread
   Show correct answer

   Correct answer: A. Data preprocessing module

2. Question 2: Selecting Storage Types

   When storing large volumes of unstructured text data for an ML project, which storage type is most suitable?

   • A. Relational database
   • B. Image cache
   • C. Object storage
   • D. Memory buffer
   • E. Configuration file
   Show correct answer

   Correct answer: C. Object storage

3. Question 3: Model Training Basics

   In a basic ML pipeline, what is the primary function of the training phase?

   • A. Predicting outputs for new inputs
   • B. Transforming visualizations
   • C. Creating a feedback report
   • D. Learning patterns from labeled data
   • E. Deleting outdated files
   Show correct answer

   Correct answer: D. Learning patterns from labeled data

4. Question 4: Concept of Model Deployment

   If you want users to submit data to your model using an application interface, which component should handle this task?

   • A. Data cleaning pipeline
   • B. User endpoint API
   • C. Randomization module
   • D. Feature engineering block
   • E. Plotting library
   Show correct answer

   Correct answer: B. User endpoint API

5. Question 5: Monitoring Models

   Why is monitoring important after deploying a machine learning model to production?

   • A. It helps track model accuracy and detect drift over time.
   • B. It increases training dataset size.
   • C. It reduces hardware requirements.
   • D. It eliminates need for versions.
   • E. It speeds up user registration.
   Show correct answer

   Correct answer: A. It helps track model accuracy and detect drift over time.

6. Question 6: Role of Feature Engineering

   In an ML system analyzing customer reviews, creating a 'review_length' feature from text is an example of what?

   • A. Model validation
   • B. Feature engineering
   • C. Label encoding
   • D. Output transformation
   • E. Hyperperimeter tuning
   Show correct answer

   Correct answer: B. Feature engineering

7. Question 7: Batch vs Real-Time Processing

   Which type of processing is ideal for making immediate predictions, such as classifying incoming SMS messages as spam or not?

   • A. Batch processing
   • B. Deferred analysis
   • C. Real-time (online) processing
   • D. Manual review
   • E. Round-robbin method
   Show correct answer

   Correct answer: C. Real-time (online) processing

8. Question 8: Modular System Design

   What is a primary benefit of designing an ML system using a modular architecture?

   • A. Easier to reuse and update parts independently
   • B. Forces single programming language usage
   • C. Reduces need for monitoring
   • D. Speeds up internet connections
   • E. Increases data duplication
   Show correct answer

   Correct answer: A. Easier to reuse and update parts independently

9. Question 9: Input Data Quality

   In a scenario where user-submitted images are sometimes blurry or poorly lit, which approach can improve the ML model's robustness?

   • A. Automatically accept all images
   • B. Use data augmentation during training
   • C. Only use the largest images
   • D. Disregard image quality
   • E. Limit training to one image
   Show correct answer

   Correct answer: B. Use data augmentation during training

10. Question 10: Iterative Improvement

    After deploying an ML system, why is it important to collect feedback on prediction errors?

    • A. To allow ongoing model improvements with new data
    • B. To identify spelling mistakes in code
    • C. To track server energy usage
    • D. To increase product advertisements
    • E. To reduce RAM capacity
    Show correct answer

    Correct answer: A. To allow ongoing model improvements with new data