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Top 30 ML Design Patterns Interview Questions
Entry Junior Mid Senior Expert
ML Design Patterns Theoretical Questions
Q1:
Related To: Classification
What's the difference between Multiclass Classification models and Multi Label model?
Related To: Classification Junior
Q2:
What are the benefits of using the Workflow Pipeline Design Pattern?
Junior
Q3:
Related To: Data Processing, Feature Engineering
What are some recommended choices for Imputation Values?
Related To: Data Processing, Feature Engineering Junior
Q4:
Related To: Data Processing
Name some methods you know for Rebalancing a dataset using Rebalancing Design Pattern
Related To: Data Processing Junior
Q5:
When would you use the Hashed Feature Design Pattern?
Junior
Q6:
Related To: Optimisation, Dimensionality Reduction
When would you use Grid Search vs Random Search for Hyperparameter Tuning?
Related To: Optimisation, Dimensionality Reduction Junior
Q7:
Related To: Model Evaluation, Optimisation, Dimensionality Reduction
What methods of Hyperparameters Tuning do you know?
Related To: Model Evaluation, Optimisation, Dimensionality Reduction Junior
Q8:
What Data Representation techniques do you know?
Junior
Q9:
Name some approaches that you can take to implement the Ensemble Design Pattern
Junior
Q10:
What's the difference between the Transform and Feature Store Design Patterns in Machine Learning?
Mid Q11:
What ML Design Patterns can you use to ensure Reproducibility of Machine Learning jobs?
Mid Q12:
Related To: Curse of Dimensionality
What are some trade-offs when using Embeddings in Machine Learning?
Related To: Curse of Dimensionality Mid Q13:
For what problems would you use the Neutral Class Design Pattern in Machine Learning?
Mid Q14:
How does Feature Cross Design Pattern work in Machine Learning?
Mid Q15:
Related To: Data Processing
Are there any problems with splitting data randomly into Training, Validation, and Test datasets?
Related To: Data Processing Mid Q16:
When and why would you use Checkpoints for a ML pipeline?
Mid Q17:
What does the Bridged Schema Design Pattern do?
Mid Q18:
What's the main idea of Reframing Design Pattern for a ML problem?
Mid Q19:
When would you use Windowed Inference Design Pattern?
Mid Q20:
What ML problems are solved by the Transformation Design Pattern?
Mid Senior Q22:
Explain how would you build a Multi-Label model using Multi-Label Design Pattern?
Senior Senior Q24:
Are there any troubles when using Feature Cross? How can you solve it?
Senior Q25:
Related To: Model Evaluation
Why would you need to use the Continued Model Evaluation Design Pattern?
Related To: Model Evaluation Senior Q26:
What are the two-phases in the Two-Phase Predictions Design Pattern?
Senior Q27:
When would you need to use the Two-Phases predictions Design Pattern?
Senior Q28:
When would you need to implement Transfer Learning Design Pattern?
Senior Q29:
Related To: Data Processing, Feature Engineering
When would you use Fine-Tuning vs Feature Extraction in Transfer Learning?
Related To: Data Processing, Feature Engineering Expert Q30:
Related To: Model Evaluation, Data Processing, Neural Networks
Are there any troubles when using Early Stopping?
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Optimization algorithms are extensively used in training machine learning models. Data engineers employ algorithms like gradient descent, stochastic gradient descent, and variants (e.g., Adam, RMSprop) to optimize the model parameters and minimize th...
ChatGPT, an implementation of the GPT (Generative Pre-trained Transformer) model excels in understanding and generating human-like text, making it a powerful tool for NLP tasks. ML engineers and software developers can leverage ChatGPT's capabilities...
Large Language Models (LLMs), such as GPT-3.5, have revolutionized natural language processing by demonstrating the ability to generate human-like text and comprehend context. Follow along to understand the top 27 LLMs-related interview questions and...
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