Accreditation 2025/2026 Exam
Questions and Answers | A+ Score
Assured
What are the pros and cons of a data warehouse? - 🧠ANSWER ✔✔Pros:
use for BI, analytics, structured & clean data, predefined schema
Cons: no support for semi or unstructured data, inflexible schemas,
struggled with volume and velocity upticks, and long processing time
, What are the pros and cons of a data lake? - 🧠ANSWER ✔✔Pros: flexible
data storage, streaming support, cost efficient in the cloud, support for AI
and ML
Cons: no transactional support, poor data reliability, slow analysis
performance, data governance concerns, data warehouses still needed
How does the data lakehouse combine the powers of data warehouses and
lakes? - 🧠ANSWER ✔✔allows all machine learning, SQL, BI, and
streaming use cases. one security and governance approach for all data
assets on all clouds. an open and reliable data platform to efficiently handle
all data types
- transaction support
- schema enforcement and governance
- BI support
- decoupled storage from compute
- open storage format