Fundamentals Of The Databricks Lakehouse Platform Accreditation - V2 Final Verified Questions And Answers 2023/2024

Where does Databricks Machine Learning fit into the Databricks Lakehouse Platform? {Ans: It is one of the core services of the Lakehouse Platform, tailored towards data practitioners building and managing models}Which of the following is a common problem with data lakes? {Ans: Data reliability}Which of the following are MLflow components? {Ans: Model Serving, Projects, Tracking}Which of the following Data Science and Engineering Workspace assets reduce cluster start and auto-scaling times by maintaining a set of idle, ready-to-use virtual machine instances? {Ans: Pools}How does Feature Store solve one of the most common problems on data science teams? {Ans: It provides a Registry that keeps track of all features that have been created and facilitates reuse across different models.}MLflow __________ is a format for packaging data science code to streamline machine learning operations. {Ans: Projects}An MLFlow run tracks which of the following? {Ans: Any parameters and values of the parameters from the run}Which of the following is a common problem faced by data practitioners? {Ans: All of the above Difficult to develop a consolidated data policy Siloed functional roles for individuals on data science teams Hard to translate proprietary data formats from one tool