
Data Warehousing Concepts
Quiz
•
Other
•
12th Grade
•
Hard
Coke parker
FREE Resource
10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does ETL stand for in the context of data warehousing?
Extract, Transmit, Load
Extract, Transform, Load
Extract, Transfer, Load
Extract, Translate, Load
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Explain the difference between star schema and snowflake schema.
Star schema has denormalized dimension tables directly connected to the fact table, while snowflake schema has normalized dimension tables with sub-dimension tables.
Star schema has sub-dimension tables with normalized dimension tables.
Snowflake schema has denormalized dimension tables directly connected to the fact table.
Star schema has normalized dimension tables directly connected to the fact table.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main difference between OLAP and OLTP?
OLAP is used for real-time data processing, while OLTP is used for historical data analysis.
OLAP is for analyzing data, OLTP is for managing transactional data.
OLAP focuses on individual transactions, while OLTP focuses on aggregated data.
OLAP is designed for online shopping platforms, while OLTP is designed for social media analytics.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Describe the components of a typical data warehouse architecture.
data sources, ETL process, data storage, data access, metadata
data ingestion, data cleaning, data querying, data reporting
data processing, data visualization, data security, data modeling
data transformation, data analysis, data retrieval, data governance
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are some common data mining techniques used in data warehousing?
Sequential Pattern Mining
Clustering, Classification, Regression, Association Rule Mining, Anomaly Detection
Decision Trees
Neural Networks
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is data governance important in the context of data warehousing?
Data governance is irrelevant for data warehousing
Data governance only focuses on data quantity, not quality
Data governance ensures data is stored in physical warehouses
Data governance is important in the context of data warehousing to ensure data accuracy, consistency, security, and compliance with regulations.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of the Extract phase in the ETL process?
To load data into the target system
To transform data into meaningful insights
To retrieve data from the source systems
To clean and validate data
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