IBM Data Science Practice Test

How do data scientists typically access RDBMS databases?

1. Using SQL or language-specific libraries

2. Using NoSQL databases

3. Through direct manual entry

4. Using spreadsheets

The correct answer is: Using SQL or language-specific libraries

Data scientists typically access Relational Database Management Systems (RDBMS) using SQL or language-specific libraries because these methods provide a standardized way to query and manipulate data stored in those databases. SQL, or Structured Query Language, is specifically designed for managing data in RDBMS environments, allowing data scientists to perform operations like selecting, inserting, updating, and deleting records efficiently. Language-specific libraries, such as SQLAlchemy for Python or DBI in R, provide a convenient interface to interact with databases, integrating database queries directly into programming workflows. These libraries allow for smooth data retrieval and operations without needing to write raw SQL in many cases, thus enhancing productivity and code maintainability. In contrast, accessing RDBMS through NoSQL databases does not apply as they are fundamentally different types of databases. Direct manual entry is impractical for handling large datasets and could introduce human error. Using spreadsheets might allow for some simplistic interactions with data but lacks the robustness and efficiency needed for comprehensive data analysis and manipulation inherent in RDBMS operations.