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- content: What is the primary difference between the single database and elastic pools deployment models in Azure SQL Database?
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choices:
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- content: The single database model allows for the allocation of storage and compute resources to a group of databases, while the elastic pools model manages each database individually in terms of scale and data size.
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isCorrect: false
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explanation: Incorrect. The elastic pools model allows for the allocation of storage and compute resources to a group of databases, while the single database model manages each database individually in terms of scale and data size.
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- content: In the single database model, each database has its own dedicated resources, while in the elastic pools model, resources are shared among multiple databases within the same pool.
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isCorrect: true
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explanation: Correct. The single database model manages each database individually with its own resources, while the elastic pools model shares resources among multiple databases.
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- content: In the single database model, resources are shared among multiple databases, while in the elastic pools model, each database has its own dedicated resources.
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isCorrect: false
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explanation: Incorrect. In the single database model, each database has its own dedicated resources, while in the elastic pools model, resources are shared among multiple databases within the same pool.
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- content: How does the Hyperscale service tier affect the time needed to create database backups or to scale up or down?
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choices:
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- content: It increases the time based on the volume of data in the database.
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isCorrect: false
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explanation: Incorrect. Hyperscale service tier actually reduces the time needed for these operations, regardless of the volume of data.
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- content: It requires a constant amount of time, regardless of the volume of data in the database.
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isCorrect: false
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explanation: Incorrect. While Hyperscale does improve the speed of these operations, it doesn't require a constant amount of time.
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- content: It's no longer dependent on the volume of data in the database.
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isCorrect: true
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explanation: Correct. The time needed to create database backups or to scale up or down with Hyperscale isn't dependent on the volume of data in the database.
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- content: What is the main difference between geo-replication and auto-failover groups in terms of replication type?
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choices:
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- content: Geo-replication uses synchronous replication, while auto-failover groups use asynchronous replication.
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isCorrect: false
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explanation: Incorrect. Geo-replication uses asynchronous replication, while auto-failover groups use synchronous replication.
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- content: Both geo-replication and auto-failover groups use asynchronous replication.
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isCorrect: false
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explanation: Incorrect. Geo-replication uses asynchronous replication, while auto-failover groups use synchronous replication.
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- content: Geo-replication uses asynchronous replication, while auto-failover groups use synchronous replication.
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isCorrect: true
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explanation: Correct. Geo-replication uses asynchronous replication that can cause data lag, while auto-failover groups use synchronous replication ensuring the secondary database is always in sync with the primary.
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- content: What is the main function of Microsoft Copilot in Azure SQL Database?
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choices:
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- content: It allows database administrators to manage developers' tasks.
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isCorrect: false
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explanation: Incorrect. Microsoft Copilot doesn't manage developers' tasks. It helps both administrators and developers manage databases and resolve issues independently.
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- content: It translates SQL queries into natural language.
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isCorrect: false
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explanation: Incorrect. Microsoft Copilot doesn't translate SQL queries into natural language, it translates natural language into SQL queries.
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- content: It enhances SQL management and troubleshooting by offering natural language to SQL conversion and self-help for database administration.
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isCorrect: true
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explanation: Correct. Microsoft Copilot in Azure SQL Database boosts productivity by translating natural language into SQL and providing self-help for database administration.
- content: What is the primary difference between the single database and elastic pools deployment models in Azure SQL Database?
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+
choices:
17
+
- content: The single database model allows for the allocation of storage and compute resources to a group of databases, while the elastic pools model manages each database individually in terms of scale and data size.
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isCorrect: false
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explanation: Incorrect. The elastic pools model allows for the allocation of storage and compute resources to a group of databases, while the single database model manages each database individually in terms of scale and data size.
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- content: In the single database model, each database has its own dedicated resources, while in the elastic pools model, resources are shared among multiple databases within the same pool.
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isCorrect: true
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explanation: Correct. The single database model manages each database individually with its own resources, while the elastic pools model shares resources among multiple databases.
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- content: In the single database model, resources are shared among multiple databases, while in the elastic pools model, each database has its own dedicated resources.
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isCorrect: false
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explanation: Incorrect. In the single database model, each database has its own dedicated resources, while in the elastic pools model, resources are shared among multiple databases within the same pool.
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- content: How does the Hyperscale service tier affect the time needed to create database backups or to scale up or down?
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choices:
28
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- content: It increases the time based on the volume of data in the database.
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isCorrect: false
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explanation: Incorrect. Hyperscale service tier actually reduces the time needed for these operations, regardless of the volume of data.
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- content: It requires a constant amount of time, regardless of the volume of data in the database.
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isCorrect: false
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explanation: Incorrect. While Hyperscale does improve the speed of these operations, it doesn't require a constant amount of time.
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- content: It's no longer dependent on the volume of data in the database.
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isCorrect: true
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explanation: Correct. The time needed to create database backups or to scale up or down with Hyperscale isn't dependent on the volume of data in the database.
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- content: What is the main difference between geo-replication and auto-failover groups in terms of replication type?
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choices:
39
+
- content: Geo-replication uses synchronous replication, while auto-failover groups use asynchronous replication.
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+
isCorrect: false
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explanation: Incorrect. Geo-replication uses asynchronous replication, while auto-failover groups use synchronous replication.
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- content: Both geo-replication and auto-failover groups use asynchronous replication.
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isCorrect: false
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explanation: Incorrect. Geo-replication uses asynchronous replication, while auto-failover groups use synchronous replication.
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- content: Geo-replication uses asynchronous replication, while auto-failover groups use synchronous replication.
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isCorrect: true
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explanation: Correct. Geo-replication uses asynchronous replication that can cause data lag, while auto-failover groups use synchronous replication ensuring the secondary database is always in sync with the primary.
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- content: What is the main function of Microsoft Copilot in Azure SQL Database?
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choices:
50
+
- content: It allows database administrators to manage developers' tasks.
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isCorrect: false
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explanation: Incorrect. Microsoft Copilot doesn't manage developers' tasks. It helps both administrators and developers manage databases and resolve issues independently.
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- content: It translates SQL queries into natural language.
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isCorrect: false
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explanation: Incorrect. Microsoft Copilot doesn't translate SQL queries into natural language, it translates natural language into SQL queries.
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+
- content: It enhances SQL management and troubleshooting by offering natural language to SQL conversion and self-help for database administration.
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isCorrect: true
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explanation: Correct. Microsoft Copilot in Azure SQL Database boosts productivity by translating natural language into SQL and providing self-help for database administration.
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