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ADW Bootcamp Week 1 PreQuiz

Create an image of a data warehouse system diagram, featuring components like compute nodes, control nodes, SQL databases, and data distribution methods, with a modern and professional design.

ADW Bootcamp Week 1 PreQuiz

Welcome to the ADW Bootcamp Week 1 PreQuiz! This interactive quiz is designed to test your knowledge of the Advanced Data Warehouse (ADW) system components as well as key concepts related to data distribution and processing.

Prepare yourself for a series of engaging questions covering:

  • ADW system components
  • Data distribution methods
  • Importance of surrogate keys
10 Questions2 MinutesCreated by LearningPath202
Name: Use any name you want, but make it unique and use on all quizzes.
What are the components of the ADW system? (4)
SQL Database Storage
Compute Node
Control Node
DataBricks Delta
Blob/ADLS Remote Storage
OnPrem SQL Server
MPP Stands for?
Multiple Parallel Processing
Massively Parallel Processing
Table size aggregation
Hash, Round_Robin & Replicate are types of?
Index Schemes
Distribution Schemes
Table size aggregation
What are 3 goals for a Distribution Key? (3)
Minimize Data Movement
Minimize Data Skew
Limit Duplicate Data
Columnstore Compression
Balanced Execution
Partition Data by key
The Control Node is responsible for?
Execution of the Explain Plan
Handles the query processing
What is the function of the Compute Node?
Execution of the Explain Plan
Handles the query processing
What is the purpose of a Surrogate Key? (2)
Applies a unique identifier for every row in a Dimension Table
A compressed descriptive of Natural Key
Transforms data for Customer Reporting needs
Replaces Natural Keys Used in Fact tables to point to a unique row in Dimension
Hash Distribution has the following characteristics (pick 2)
Data is distributed evenly across nodes
Data repeated on every node
Same value will always go to the same distribution
Simplicity at a cost
Simplifies query plans and reduces data movement
Data divided across nodes based on algorithm
Replicate Distribution has the following characteristics (pick 2)
Data is distributed evenly across nodes
Data repeated on every node
Same value will always go to the same distribution
Simplicity at a cost
Simplifies query plans and reduces data movement
Data divided across nodes based on algorithm
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