
Autonomous Data Warehouse- Autonomous Data Warehouse Vs Snowflake - Modern Data Warehouse
Authored by porkodi G
English
12th Grade
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15 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a data warehouse?
A data warehouse is a physical storage facility for office supplies.
A data warehouse is a term used to describe a building where data is manufactured.
A data warehouse is a centralized repository that stores structured and unstructured data from various sources.
A data warehouse is a type of software used for video editing.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are the key features of an Autonomous Database?
Self-driving, self-securing, self-repairing, automated backups, automated tuning, elastic scaling
Manual backups, manual tuning, fixed scaling
Non-scalable, non-repairing, non-secure
Human-driven, insecure, unreliable
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does Snowflake differ from traditional data warehouses?
Snowflake is an on-premise data platform with limited scalability
Snowflake does not separate storage and compute
Snowflake is a cloud-based data platform with separate storage and compute, providing unlimited scalability and better performance/cost-effectiveness compared to traditional data warehouses.
Snowflake has higher performance/cost-effectiveness compared to traditional data warehouses
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Explain the concept of Modern Data Warehouse Architecture.
Modern Data Warehouse Architecture is a methodology that does not utilize cloud-based technologies for data storage.
Modern Data Warehouse Architecture is a concept that involves storing data in a single, non-scalable database.
Modern Data Warehouse Architecture is a design approach that leverages cloud-based technologies for storing and analyzing large volumes of data in a scalable, flexible, and cost-effective manner.
Modern Data Warehouse Architecture is a design approach that focuses on using only on-premise data storage solutions.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are the benefits of using an Autonomous Data Warehouse?
Sporadic backups, moderate availability, restricted scalability, basic security features, fluctuating operational costs
No backups, average availability, fixed scalability, minimal security features, unchanged operational costs
Automated backups, high availability, scalability, security features, reduced operational costs
Manual backups, low availability, limited scalability, lack of security features, increased operational costs
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are the key components of Snowflake Data Platform?
Snowflake Database, Snowflake Data Warehouse, Snowflake Data Lake, Snowflake Data Exchange
Snowflake Cloud Storage
Snowflake Data Platform
Snowflake Analytics Tool
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does Autonomous Data Warehouse handle security?
Autonomous Data Warehouse has no security measures in place
Autonomous Data Warehouse shares all data openly without restrictions
Autonomous Data Warehouse relies on outdated security protocols
Autonomous Data Warehouse handles security through encryption, network security, user authentication, and authorization controls.
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