Which two are objectives of Oracle's Data Management strategy?

Oracle’s Data Management strategy aims to deliver "the fastest, most scalable converged SQL database" (A), exemplified by its Autonomous Database and Exadata systems, which support multiple data types and workloads efficiently. It also seeks to "automate everything for developers, data analysts, DBAs, and data scientists" (B), leveraging self-managing, self-tuning capabilities to reduce manual effort and enhance productivity. Option C ("multiple integration points for 3rd party databases") is not a primary objective, as Oracle focuses on its own ecosystem. Option D ("best platform for warehouse workloads only") is too narrow, as the strategy spans beyond just warehousing to include transactional, analytical, and JSON workloads. Oracle’s official data management documentation emphasizes speed, scalability, and automation as core goals.