Final answer:
A. Jupyter To connect to a Big SQL database, Jupyter, equipped with the correct extensions or connectors, is the most suitable tool from the options provided.
Step-by-step explanation:
To create a connection to your Big SQL database, you would typically use specialized database access tools or integrated development environments (IDEs) that support JDBC or ODBC connections. Among the options provided:
- Jupyter notebooks can be used for executing SQL queries against a database by using the appropriate kernel or connectors.
- DSM, if referring to IBM's Data Server Manager, is an integrated tool for managing performance and configurations, but not specifically used for connecting to databases.
- Ambari is used for provisioning, managing, and monitoring Apache Hadoop clusters, and while it offers some SQL query execution, it's not a primary tool for database connection.
- Scheduler is a generic term that could refer to many kinds of tools, but generally, schedulers are used for automating tasks rather than direct database connection.
Therefore, the most appropriate answer would be A. Jupyter, assuming you have the necessary extensions or connectors to interact with Big SQL.