Collection
CompTIA DataAI
by Ken
Preparing for CompTIA DataAI (exam DY0-001, formerly DataX), or sharpening your senior data science instincts? This collection drills the judgment calls the advanced exam rewards: which metric fits the business problem, which algorithm suits the data, which statistical test answers the question, how to prep features and control overfitting, and how to deploy and monitor models with MLOps. A fill-in-the-blank set covers deep learning, NLP and LLM vocabulary. Scenario-first, fast, and built for ex
6 quizzes
DataAI: Which Evaluation Metric?
Multiple choicePick the model evaluation metric that best fits each data science scenario, from precision and recall to RMSE and AUC.
21 items
DataAI: Which Algorithm Fits?
Multiple choiceChoose the machine learning algorithm best suited to each data science problem and data shape.
23 items
DataAI: Which Statistical Test?
Multiple choiceSelect the right hypothesis test or statistical method for each analysis scenario.
16 items
DataAI: Data Prep, Feature Engineering and Regularization
Multiple choiceChoose the data preparation, feature engineering, or overfitting-control technique that solves each modeling problem.
21 items
DataAI: MLOps and Deployment Concepts
Multiple choiceIdentify the MLOps practice or deployment pattern that addresses each production machine learning situation.
17 items
DataAI Deep Learning, NLP and LLM Terms
Fill in the blankFill in the missing words in concise definitions of core deep learning, NLP, and large language model concepts.
20 items