Databricks Lakehouse Platform Accreditation | 2025/2026 | 60+ Solved Exam Questions on Delta Lake, MLflow, SQL, Open Source | Fundamentals

This document contains over 60 fully solved and up-to-date exam questions and answers for the Fundamentals of the Databricks Lakehouse Platform Accreditation (2025/2026). It serves as a comprehensive and focused exam preparation resource for professionals and students seeking foundational knowledge of the Databricks Lakehouse architecture. Key topics include Delta Lake functionality, Unity Catalog and access control, machine learning workflows using MLflow, ACID transactions, schema enforcement, data encryption, support for diverse data types, and the differences between Databricks SQL, Machine Learning, and Engineering interfaces. Additional emphasis is placed on open-source integrations like Apache Spark and Redash, as well as CI/CD workflows within Databricks Repos and Workflows. This material is highly relevant for: Data Analysts, Data Engineers, Machine Learning Practitioners Students enrolled in Data Engineering, Data Science, or Big Data Technology programs Professionals pursuing Databricks certifications Academic institutions and bootcamps offering cloud data platform training Whether preparing for certification or aiming to strengthen foundational knowledge, this document provides reliable coverage of the Databricks ecosystem with real exam-based content. Keywords: Databricks Lakehouse, Delta Lake, MLflow, Apache Spark, Databricks SQL, Unity Catalog, ACID transactions, schema enforcement, CI/CD, Databricks Repos, open source, data governance, machine learning, data engineering, Databricks exam 2025