[03/Tennsift/06]

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What is a common challenge teams face when trying to find the 'best' data model?

Refactoring the model without any discussion
Rapidly putting multiple models into production
Not putting any model into production
Spending weeks or months discussing a better model (correct)

Why does the text suggest putting a 'valid' model into production and refactoring over time?

To prevent any model from being put into production
To avoid prolonged discussions without practical validation (correct)
To ensure the initial model is perfect
To discourage any model refinement over time

When does the text suggest refactoring a data model?

When the model is considered perfect
When there are no discussions about model improvements
When the pain caused by the existing model is significant (correct)
When the model is initially put into production

Agile Approach to Data Vault Modelling suggests that finding the 'best' model requires minimal effort and can be achieved quickly.

False (B) Signup and view all the answers

Teams may spend weeks or months discussing a 'better' data model without knowing if it is truly better until it is put into production.

True (A) Signup and view all the answers

The text proposes putting a 'valid' model into production and then continuously refining it over time if the pain of the existing model is significant.

True (A) Signup and view all the answers

Match the following terms with their corresponding meanings:

Agile Approach to Data Vault Modelling = Methodology for quickly putting a 'valid' model into production and refining it over time Finding the 'best' model = A time-consuming effort for teams, often leading to prolonged discussions without certainty Refactoring over time = Continuously improving the data model based on pain points and challenges Valid model into production = Putting a functional model into operation before extensive refinement Signup and view all the answers

Match the following concepts with their descriptions:

Agile Approach to Data Vault Modelling = Advocates for rapid deployment of a 'valid' model and ongoing improvements based on experience Pain is big enough = Indicating the necessity for change in the data model due to significant challenges or difficulties Better model discussions = Prolonged deliberations within teams on achieving an improved data model without immediate validation Data Vault Modelling = Methodology for structuring and managing data in a data warehouse environment Signup and view all the answers

Match the following statements with their corresponding implications:

Teams often discuss 'a better' model for weeks = Signifying the potential for prolonged and inconclusive deliberations on improving the data model Putting a 'valid' model into production = Advocating for the deployment of a functional model followed by iterative refinements based on real-world usage Refactoring over time = Emphasizing the continuous improvement and adaptation of the data model based on practical experience and challenges Finding the 'best' model is a lot of effort = Implying the significant time and resources required for the pursuit of an ideal data model Signup and view all the answers

What is database refactoring?

The process of improving the design of an existing database without changing its semantics (A) Signup and view all the answers

What is a common reason for database refactoring?

To improve performance (C) Signup and view all the answers

How does a well-designed database contribute to maintainability?

It is easier to maintain and update (A) Signup and view all the answers

What is a benefit of putting a 'valid' model into production and then continuously refining it over time?

Reducing the risk of spending excessive time discussing a 'better' model (C) Signup and view all the answers

What is the outcome of refactoring a database to improve security?

Reducing the risk of security vulnerabilities (D) Signup and view all the answers

Why might you need to refactor your database to improve performance?

To make it more scalable and faster (D) Signup and view all the answers

Database refactoring involves changing the semantics of the existing database.

False (B) Signup and view all the answers

Improving database performance is not a common reason for database refactoring.

False (B) Signup and view all the answers

A well-designed database is harder to maintain and update than a poorly-designed database.

False (B) Signup and view all the answers

Refactoring the database can reduce the risk of security vulnerabilities.

True (A) Signup and view all the answers

The text suggests that finding the 'best' data model requires minimal effort and can be achieved quickly.

False (B) Signup and view all the answers

Refactoring a database to improve performance is not necessary.

False (B) Signup and view all the answers

Match the following reasons for database refactoring with their implications:

To improve performance = A well-designed database can perform much faster than a poorly-designed database. To improve maintainability = A well-designed database is easier to maintain and update than a poorly-designed database. To improve security = A well-designed database is more secure than a poorly-designed database. To improve scalability = Refactoring your database can improve its performance and make it more scalable. Signup and view all the answers

Match the following benefits of database refactoring with their descriptions:

Easier to add new features and fix bugs = Refactoring your database makes it easier to add new features and fix bugs. Improved performance and scalability = Refactoring your database can improve its performance and make it more scalable. Reduced risk of security vulnerabilities = Refactoring your database can reduce the risk of security vulnerabilities. Easier to understand, maintain, and extend = The refactored database should be easier to understand, maintain, and extend. Signup and view all the answers

Match the following characteristics of well-designed databases with their implications:

Perform much faster than poorly-designed databases = A well-designed database can perform much faster than a poorly-designed database. Easier to maintain and update = A well-designed database is easier to maintain and update than a poorly-designed database. More secure than poorly-designed databases = A well-designed database is more secure than a poorly-designed database. More scalable than poorly-designed databases = A well-designed database is more scalable than a poorly-designed database. Signup and view all the answers

Match the following reasons for database refactoring with their outcomes:

To improve performance = Refactoring your database can improve its performance and make it more scalable. To improve maintainability = Refactoring your database makes it easier to add new features and fix bugs. To improve security = Refactoring your database can reduce the risk of security vulnerabilities. To improve scalability = Refactoring your database can improve its performance and make it more scalable. Signup and view all the answers

Match the following implications of database refactoring with their reasons:

A well-designed database can perform much faster than a poorly-designed database. = To improve performance A well-designed database is easier to maintain and update than a poorly-designed database. = To improve maintainability A well-designed database is more secure than a poorly-designed database. = To improve security Refactoring your database can improve its performance and make it more scalable. = To improve scalability Signup and view all the answers

Match the following outcomes of database refactoring with their benefits:

Refactoring your database can improve its performance and make it more scalable. = Improved performance and scalability Refactoring your database makes it easier to add new features and fix bugs. = Easier to add new features and fix bugs Refactoring your database can reduce the risk of security vulnerabilities. = Reduced risk of security vulnerabilities The refactored database should be easier to understand, maintain, and extend. = Easier to understand, maintain, and extend Signup and view all the answers

[03/Tennsift/06]

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Questions and Answers

What is a common challenge teams face when trying to find the 'best' data model?

Why does the text suggest putting a 'valid' model into production and refactoring over time?

When does the text suggest refactoring a data model?

Agile Approach to Data Vault Modelling suggests that finding the 'best' model requires minimal effort and can be achieved quickly.

Teams may spend weeks or months discussing a 'better' data model without knowing if it is truly better until it is put into production.

The text proposes putting a 'valid' model into production and then continuously refining it over time if the pain of the existing model is significant.

Match the following terms with their corresponding meanings:

Match the following concepts with their descriptions:

Match the following statements with their corresponding implications:

What is database refactoring?

What is a common reason for database refactoring?

How does a well-designed database contribute to maintainability?

What is a benefit of putting a 'valid' model into production and then continuously refining it over time?

What is the outcome of refactoring a database to improve security?

Why might you need to refactor your database to improve performance?

Database refactoring involves changing the semantics of the existing database.

Improving database performance is not a common reason for database refactoring.

A well-designed database is harder to maintain and update than a poorly-designed database.

Refactoring the database can reduce the risk of security vulnerabilities.

The text suggests that finding the 'best' data model requires minimal effort and can be achieved quickly.

Refactoring a database to improve performance is not necessary.

Match the following reasons for database refactoring with their implications:

Match the following benefits of database refactoring with their descriptions:

Match the following characteristics of well-designed databases with their implications:

Match the following reasons for database refactoring with their outcomes:

Match the following implications of database refactoring with their reasons:

Match the following outcomes of database refactoring with their benefits:

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