Fundamentals of the Databricks Lakehouse Platform Accreditation - v2 Questions And Answers Already Graded A+

Maintaining and improving data quality is a major goal of modern data engineering. Which of the following contributes directly to high levels of data quality within the Databricks Lakehouse Platform? Select two responses. - schema evolution, Data expectations enforcement Which of the following describes how the Databricks Lakehouse Platform makes data governance simpler? Select one response - Unity Catalog provides a single governance solution across workload types and clouds. Data organizations need specialized environments designed specifically for machine learning workloads. Which of the following is made available by Databricks as part of Databricks Machine Learning to support machine learning workloads? Select four responses. - Built-in automated machine learning development, Support for distributed model training on big data, Optimized and preconfigured machine learning frameworks, Built-in real-time model serving Unity Catalog offers improved Lakehouse data object governance and organization capabilities for data segregation. Which of the following is a consequence of using Unity Catalog to manage, organize and segregate data objects? Select one response. - Databricks SQL Data sharing has traditionally been performed by proprietary vendor solutions, SSH File Transfer Protocol (SFTP), or cloud-specific solutions. However, each of these sharing tools and solutions comes with its own set of limitations. As a result, Databricks helped to develop the solution, Delta Sharing. Which of the following describes Delta Sharing as a solution for data sharing? Select one response. - Delta Sharing is a multicloud, open-source solution to securely and efficiently share live data from the lakehouse to any external system.Which of the following describes what challenges a data organization would likely face when migrating from a data warehouse to a data lake? Select two responses. . - There are increased security and privacy concerns in a data lake. There are increased data reliability issues in a data lake