[01/Forth/06]

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Which type of Data Vault modelling does Flow.BI support?

Logical Data Vault
Source Vault
Data-driven Data Vault (correct)
All of the above

Which type of Data Vault modelling is not possible to build with Flow.BI?

Logical Data Vault (correct)
Source Vault
Data-driven Data Vault
None of the above

What is the belief of Flow.BI regarding Data Vault modelling?

Logical Data Vault is the best approach
All approaches are equally valued
Data-driven Data Vault is the best approach (correct)
Source Vault is the best approach

True or false: Flow.BI only supports Data-Driven Data Vault 2.0?

True (A) Signup and view all the answers

True or false: Logical Data Vault can be implemented using Flow.BI?

False (B) Signup and view all the answers

True or false: Data-driven Data Vault models the raw data only?

False (B) Signup and view all the answers

Match the following Data Vault modelling approaches with their descriptions:

Logical Data Vault = Model the business as it should be Source Vault = Model the raw data only Data-driven Data Vault = Model the raw data as it is used by the business Flow.BI = Does not support this type of modelling Signup and view all the answers

Match the following statements with their correctness based on the text:

Flow.BI = Only supports Data-Driven Data Vault 2.0 Data-driven Data Vault = We believe in the value of this approach Logical Data Vault = Is not possible to build with Flow.BI Signup and view all the answers

Match the following Data Vault modelling approaches with their support from Flow.BI:

Logical Data Vault = Not supported Source Vault = Not mentioned in the text Data-driven Data Vault = Supported Business-driven Data Vault = Not mentioned in the text Signup and view all the answers

Match the following characteristics of Data Vault model with their descriptions:

Flexible and extensible = Designed to be adapted to the changing needs of the organization Scalable = Designed to handle large volumes of data Data-driven = Implemented using a relational database or other types of databases Relational database = Typically used to implement Data-driven Data Vault models Signup and view all the answers

Match the following database types with their potential use in Data-driven Data Vault models:

Relational database = Typically used to implement Data-driven Data Vault models NoSQL database = Can also be used to implement Data-driven Data Vault models Signup and view all the answers

Match the following characteristics with their association to Data Vault model:

Flexibility = Associated with the ability of Data Vault model to be adapted to changing needs Scalability = Associated with the ability of Data Vault model to handle large volumes of data Signup and view all the answers

Match the following statements with their correctness based on the text:

Data Vault model is not designed to be flexible = False Data Vault model is not designed to be scalable = False Data-driven Data Vault models are always implemented using a relational database = False Data-driven Data Vault models can never be implemented using NoSQL databases = False Signup and view all the answers

Match the following Data Vault model characteristics with their descriptions:

Flexibility = Ability of the model to be adapted to the changing needs of the organization Scalability = Ability of the model to handle large volumes of data Data-driven = Characteristic of Data Vault models typically implemented using a relational database NoSQL database support = Capability of Data-driven Data Vault models to be implemented in other types of databases Signup and view all the answers

Match the following features with their association to Data Vault model:

Flexibility = Feature associated with the ability of Data Vault model to be adapted to changing needs Scalability = Feature associated with the ability of Data Vault model to handle large volumes of data Signup and view all the answers

Match the following database types with their potential use in Data Vault model implementations:

Relational database = Typically used to implement Data-driven Data Vault models NoSQL database = Can also be used to implement Data-driven Data Vault models Signup and view all the answers

Match the following characteristics with their association to Data Vault model:

Flexibility = Associated with the ability of Data Vault model to be adapted to changing needs Scalability = Associated with the ability of Data Vault model to handle large volumes of data Signup and view all the answers

Match the following Data Vault modeling styles with their descriptions:

Logical Data Vault = Models the desired business, ignoring the raw data Source Vault = Models only the raw data, ignoring the business completely Data-Driven Data Vault = Models the raw data the way the business is using it Signup and view all the answers

Match the following Data Vault modeling styles with their recommendations by Flow.BI:

Logical Data Vault = Not recommended due to lack of support for applying business logic Source Vault = Possible to generate, but not recommended due to performance issues Data-Driven Data Vault = Strongly recommended as it allows additional automation capabilities in the future Signup and view all the answers

Match the following statements about Data-Driven Data Vault with their correctness:

Data is the source of truth = The Data Vault model is designed to store data in its original form, without any transformations or aggregations Designed to be flexible and scalable = Supports the needs of data-driven organizations Used for a variety of purposes = Including analytics, reporting, and machine learning Signup and view all the answers

Match the following statements about Flow.BI with their correctness:

Data-Driven Data Vault is strictly implemented = Standard rules available in Flow.BI Source Vault can be generated = Possible, but not recommended due to performance issues Logical Data Vault is not supported = Application of business logic is required, not supported by Flow.BI Signup and view all the answers

Match the following Data Vault modeling styles with their relationships to the raw data and business:

Logical Data Vault = Business is modeled, raw data is ignored Source Vault = Raw data is modeled, business is ignored Data-Driven Data Vault = Raw data is modeled the way the business is using it Signup and view all the answers

Match the following Data Vault modeling styles with their levels of support from Flow.BI:

Logical Data Vault = Not supported by Flow.BI Source Vault = Possible to generate, but not recommended Data-Driven Data Vault = Strictly implemented with standard rules in Flow.BI Signup and view all the answers

Match the following Data Vault modeling styles with their recommended modeling approach:

Logical Data Vault = Business logic should be applied when loading the model Source Vault = Raw data should be modeled without considering the business Data-Driven Data Vault = Model the raw data the way the business is using it Signup and view all the answers

Match the following Data Vault modeling styles with their descriptions:

Logical Data Vault = Models the desired business, ignoring the raw data Source Vault = Models only the raw data, ignoring the business completely Data-Driven Data Vault = Models the raw data the way the business is using it Signup and view all the answers

Which type of Data Vault modeling does Flow.BI recommend?

Data-driven Data Vault (C) Signup and view all the answers

What is the main principle of a data-driven Data Vault model?

Data is the source of truth (A) Signup and view all the answers

Why does Flow.BI not recommend the Source Vault modeling approach?

All of the above (D) Signup and view all the answers

What is the relationship between the data-driven Data Vault model and the logical Data Vault model?

The logical model is a subset of the data-driven model (B) Signup and view all the answers

What is the main advantage of the data-driven Data Vault model?

Flexibility and scalability (D) Signup and view all the answers

What is the recommended modeling approach for the logical Data Vault model?

Apply business logic when loading the model (B) Signup and view all the answers

What is the main disadvantage of the Source Vault modeling approach?

All of the above (D) Signup and view all the answers

What modeling technique does Flow.BI strictly implement?

Data-driven Data Vault (C) Signup and view all the answers

Which of the following best describes the flexibility of the Data Vault model?

The model is designed to be flexible and extensible (A) Signup and view all the answers

What is one of the key characteristics of the Data Vault model?

It is scalable and can handle large volumes of data (A) Signup and view all the answers

Which type of databases can be used to implement Data-driven Data Vault models?

Relational and NoSQL databases (D) Signup and view all the answers

What is the primary purpose of the Data Vault model?

To provide a flexible and scalable data storage solution (C) Signup and view all the answers

Which of the following is NOT true about the Data Vault model?

It is limited in its adaptability (D) Signup and view all the answers

What type of Data Vault modeling does Flow.BI support?

Both Logical and Physical Data Vault (A) Signup and view all the answers

What is the belief of Flow.BI regarding Data Vault modeling?

Data Vault modeling is the best approach for data storage (A) Signup and view all the answers

Which of the following is NOT a characteristic of the Data Vault model?

Limited adaptability (C) Signup and view all the answers

True or false: Data Vault 2.0 is a very flexible modeling technique?

True (A) Signup and view all the answers

True or false: The Data Vault model is designed to be flexible and extensible?

True (A) Signup and view all the answers

True or false: The data-driven Data Vault model is the middle ground between the logical model and the Source Vault?

True (A) Signup and view all the answers

True or false: The Data Vault model is scalable and can handle large volumes of data?

True (A) Signup and view all the answers

True or false: Flow.BI strictly implements a data-driven design?

True (A) Signup and view all the answers

True or false: Data-driven Data Vault models are typically implemented using a relational database?

True (A) Signup and view all the answers

True or false: It is possible to generate a Source Vault with Flow.BI, but it is not recommended due to performance issues?

True (A) Signup and view all the answers

True or false: The Source Vault modeling approach has a main disadvantage?

True (A) Signup and view all the answers

True or false: The logical Data Vault requires the application of business logic, which is not supported by Flow.BI?

True (A) Signup and view all the answers

True or false: The primary purpose of the Data Vault model is to handle large volumes of data?

False (B) Signup and view all the answers

True or false: The data-driven Data Vault model is designed to store data in its original form, without any transformations or aggregations?

True (A) Signup and view all the answers

True or false: Flow.BI recommends the logical Data Vault model?

True (A) Signup and view all the answers

True or false: The data-driven Data Vault model only models the raw data?

True (A) Signup and view all the answers

True or false: Flow.BI only supports Data-Driven Data Vault 2.0?

False (B) Signup and view all the answers

True or false: The data-driven Data Vault model allows the data to be used for a variety of purposes, including analytics, reporting, and machine learning?

True (A) Signup and view all the answers

True or false: Flow.BI supports both Data-Driven Data Vault and logical Data Vault models?

True (A) Signup and view all the answers

[01/Forth/06]

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Questions and Answers

Which type of Data Vault modelling does Flow.BI support?

Which type of Data Vault modelling is not possible to build with Flow.BI?

What is the belief of Flow.BI regarding Data Vault modelling?

True or false: Flow.BI only supports Data-Driven Data Vault 2.0?

True or false: Logical Data Vault can be implemented using Flow.BI?

True or false: Data-driven Data Vault models the raw data only?

Match the following Data Vault modelling approaches with their descriptions:

Match the following statements with their correctness based on the text:

Match the following Data Vault modelling approaches with their support from Flow.BI:

Match the following characteristics of Data Vault model with their descriptions:

Match the following database types with their potential use in Data-driven Data Vault models:

Match the following characteristics with their association to Data Vault model:

Match the following statements with their correctness based on the text:

Match the following Data Vault model characteristics with their descriptions:

Match the following features with their association to Data Vault model:

Match the following database types with their potential use in Data Vault model implementations:

Match the following characteristics with their association to Data Vault model:

Match the following Data Vault modeling styles with their descriptions:

Match the following Data Vault modeling styles with their recommendations by Flow.BI:

Match the following statements about Data-Driven Data Vault with their correctness:

Match the following statements about Flow.BI with their correctness:

Match the following Data Vault modeling styles with their relationships to the raw data and business:

Match the following Data Vault modeling styles with their levels of support from Flow.BI:

Match the following Data Vault modeling styles with their recommended modeling approach:

Match the following Data Vault modeling styles with their descriptions:

Which type of Data Vault modeling does Flow.BI recommend?

What is the main principle of a data-driven Data Vault model?

Why does Flow.BI not recommend the Source Vault modeling approach?

What is the relationship between the data-driven Data Vault model and the logical Data Vault model?

What is the main advantage of the data-driven Data Vault model?

What is the recommended modeling approach for the logical Data Vault model?

What is the main disadvantage of the Source Vault modeling approach?

What modeling technique does Flow.BI strictly implement?

Which of the following best describes the flexibility of the Data Vault model?

What is one of the key characteristics of the Data Vault model?

Which type of databases can be used to implement Data-driven Data Vault models?

What is the primary purpose of the Data Vault model?

Which of the following is NOT true about the Data Vault model?

What type of Data Vault modeling does Flow.BI support?

What is the belief of Flow.BI regarding Data Vault modeling?

Which of the following is NOT a characteristic of the Data Vault model?

True or false: Data Vault 2.0 is a very flexible modeling technique?

True or false: The Data Vault model is designed to be flexible and extensible?

True or false: The data-driven Data Vault model is the middle ground between the logical model and the Source Vault?

True or false: The Data Vault model is scalable and can handle large volumes of data?

True or false: Flow.BI strictly implements a data-driven design?

True or false: Data-driven Data Vault models are typically implemented using a relational database?

True or false: It is possible to generate a Source Vault with Flow.BI, but it is not recommended due to performance issues?

True or false: The Source Vault modeling approach has a main disadvantage?

True or false: The logical Data Vault requires the application of business logic, which is not supported by Flow.BI?

True or false: The primary purpose of the Data Vault model is to handle large volumes of data?

True or false: The data-driven Data Vault model is designed to store data in its original form, without any transformations or aggregations?

True or false: Flow.BI recommends the logical Data Vault model?

True or false: The data-driven Data Vault model only models the raw data?

True or false: Flow.BI only supports Data-Driven Data Vault 2.0?

True or false: The data-driven Data Vault model allows the data to be used for a variety of purposes, including analytics, reporting, and machine learning?

True or false: Flow.BI supports both Data-Driven Data Vault and logical Data Vault models?

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