Guide-linked quiz · Medium Level
Databricks Quiz
Review Databricks’ Spark and lakehouse history, Delta Lake transactions, MLflow tracking, Unity Catalog governance, and generative-AI releases.
Question 1 of 8
Databricks was founded by the original creators of which open-source project?
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- Databricks was founded by the original creators of which open-source project?
- Apache Spark
- Linux
- Python
- TensorFlow
- What does the lakehouse architecture aim to combine?
- A notebook service with no persistent storage layer
- A data lake’s flexible object storage with data-warehouse management and query capabilities
- A relational database combined with a message queue
- A model registry combined with a feature store
- Which open table format gives Databricks data lakes ACID transactions?
- JPEG
- HTTP
- Delta Lake
- CSV
- What is MLflow used for on Databricks?
- Editing photos
- Sending marketing emails
- Hosting video calls
- Tracking experiments and managing the machine learning lifecycle
- Which MosaicML-related developments did Databricks announce during its generative-AI expansion?
- It completed the MosaicML acquisition and later introduced the DBRX open LLM
- It acquired Apache Spark and released AlphaZero
- It bought MLflow and discontinued Delta Lake
- It founded Unity Catalog as an independent company
- What component provides data governance across the Databricks platform?
- Microsoft Word
- Unity Catalog
- Adobe Photoshop
- Google Maps
- What does Delta Lake time travel let a user do?
- Recover a deleted cloud account without a backup
- Run the same query faster on every compute type
- Query a table’s earlier versions recorded in its transaction log
- Convert every table automatically into a neural network
- Which AI assets can Unity Catalog govern in addition to data tables?
- Only browser cookies
- Only GPU hardware firmware
- Unregistered files in every external system
- Models, functions, and services
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