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But per MCQ single-choice format # answer: A (though ideally A, B, C are correct). A data lake is a centralized repository designed to store raw, structured, semi-structured, and unstructured data at scale. It provides: Agility and productivity (Option A): Data lakes support flexible ingestion and faster access, making BI and data science environments more efficient. Data integration (Option B): They handle multiple types of data, enabling advanced analytics and machine learning use cases. Data as an asset (Option C): They shift perspective, treating data as a strategic resource, not just a storage cost. Option D: Incorrect. Data lakes improve agility, not reduce it. Option E: Incorrect, since multiple true statements exist. Thus, the correct choice per DASCA context is Option A (with B and C also being true). Reference: DASCA Data Scientist Knowledge Framework (DSKF) - Data Engineering: Data Lakes vs Warehouses.