Whether you are starting your AI engineering journey or expanding your existing skills, MammothClub offers a practical catalog of courses, paths, and focused learning opportunities.
Test your knowledge and prepare for the certification exam with these comprehensive mock exam questions!
Unleash the power of your SQL skills on the massive scale of the Databricks Lakehouse. This program teaches you how to use the familiar language of SQL to query petabytes of data and build powerful analytics dashboards.
Featuring 50 questions and unlimited attempts! Test your knowledge on how to register a model using the MLflow Client API in the Unity Catalog registry, the benefits of registering models in the Unity Catalog registry over the workspace registry, scenarios where promoting code is preferred over promoting models and vice versa, how to set or remove a tag for a model, and how to promote a challenger model to a champion model using aliases.
Featuring 50+ questions and unlimited attempts! Test your knowledge on how to compare and contrast imputing missing values with the mean, median, or mode value, impute missing values with the mode, mean, or median value, use one-hot encoding for categorical features, identify model types or data sets for which one-hot encoding is or is not appropriate, and identify scenarios where a log scale transformation is appropriate.
Move your machine learning models from the notebook to production. It's time to build and manage solutions that deliver real-world impact at scale.
Processing massive datasets is a real engineering challenge. To do it efficiently, you need to master the industry standard for distributed computing: Apache Spark.
Test your knowledge with 50+ questions from the Experimentation section of the Databricks Certified Machine Learning Professional certification. Find out if you’re ready to ace the exam — can you identify the requirements for tracking nested runs, enable autologging (including with Hyperopt), and log and view artifacts such as SHAP plots, custom visualizations, feature data, images, and metadata?
Test your knowledge with 50+ questions from the Model Deployment section of the Databricks Certified Machine Learning Professional certification. Find out if you’re ready to ace the exam — can you identify z-ordering as a solution for reducing the time needed to read predictions from a table, identify partitioning on a common column to speed up queries, explain the practical benefits of using the score_batch operation, describe Structured Streaming as a common tool for ETL pipelines, explain Structured Streaming as a continuous inference solution for incoming data, understand why complex business logic must be handled in streaming deployments, and recognize that data can arrive out of order when using Structured Streaming? And much more!
