Which of the following is a common problem within a data lake architecture that can be easily solved by using the Databricks Lakehouse Platform? Select three responses. ☐ Lack of ACID transaction support ☐ Too many small files ☐ Inability to use open-source data formats ☐ Ineffective partitioning ☐ Lack of cloud service integrations {Ans: ☑️ Lack of ACID transaction support ☑️ Too many small files ☐ Inability to use open-source data formats ☑️ Ineffective partitioning ☐ Lack of cloud service integrations}Which of the following describes the motivation for the creation of the data lakehouse? Select one response. ☐ Organizations needed a single, flexible, high-performance system to support data, analytics, and machine learning workloads. ☐ Organizations needed a way to scale their data lake workloads without investing in additional on-premises hardware. ☐ Organizations needed to reduce the costs of storing their open-format data files in the cloud. ☐ Organizations needed a reliable data management system with transactional guarantees for their structured data. ☐ Organizations needed to be able to develop increasingly complex machine learning workloads using a simple, SQL-based solution. {Ans: ☑️ Organizations needed a single, flexible, high-performance system to support data, analytics, and machine learning workloads. ☐