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Where do virtual datasets exist?

In the SQL API

In the repository

In the Flow.BI dashboarding capability (correct)

In the PostgreSQL functionality

What is the main characteristic of virtual datasets in terms of access?

Complex SQL with most PostgreSQL functionality (correct)

Limited functionality due to security restrictions

Implemented in the repository

Access via SQL API

Why are virtual datasets' functionalities limited?

Implemented in the repository

Based on complex SQL with most PostgreSQL functionality

Due to security restrictions (correct)

Access via SQL API

Virtual datasets are only implemented in the repository.

False Signup and view all the answers

Virtual datasets have limited functionality due to performance issues.

False Signup and view all the answers

Virtual datasets provide access via SQL API with full PostgreSQL functionality.

True Signup and view all the answers

Match the following features of virtual datasets with their characteristics:

Existence = Only in the Flow.BI dashboarding capability Implementation = Not in the repository SQL Complexity = Complex SQL with most PostgreSQL functionality Access = Limited functionality due to security restrictions Signup and view all the answers

Match the following statements about virtual datasets with their correct descriptions:

Access Method = Via SQL API Functionality = Limited due to security restrictions Location = Exists only in the Flow.BI dashboarding capability SQL Complexity = Involves complex SQL with most PostgreSQL functionality Signup and view all the answers

Match the following characteristics of virtual datasets with their corresponding descriptions:

Existence = Restricted to the Flow.BI dashboarding capability Security Restrictions = Cause limited functionality SQL Usage = Complex SQL with most PostgreSQL functionality Repository Implementation = Not applicable Signup and view all the answers

What are virtual datasets in Flow.BI?

Datasets created using SQL queries Signup and view all the answers

Where are virtual datasets created in Flow.BI?

Explore page Signup and view all the answers

What is the first step to create a virtual dataset in Flow.BI?

Click the Create button Signup and view all the answers

What can virtual datasets be used for in Flow.BI?

Create new datasets from existing datasets Signup and view all the answers

What is a tip for using virtual datasets effectively in Flow.BI?

Give virtual datasets clear and concise names Signup and view all the answers

What is the additional benefit of using virtual datasets in Flow.BI?

Data abstraction: providing a consistent view of the data Signup and view all the answers

Why should virtual datasets have clear and concise names?

To make it easier for users to understand and use them Signup and view all the answers

Which feature enables virtual datasets to provide a consistent view of the data?

Access via SQL API with full PostgreSQL functionality Signup and view all the answers

What is the purpose of documenting virtual datasets?

To provide guidance on how to use them Signup and view all the answers

Which type of queries are used to define virtual datasets?

SQL queries Signup and view all the answers

Virtual datasets in Flow.BI are created using SQL queries.

True Signup and view all the answers

To create a virtual dataset in Flow.BI, you need to click the Explore page.

False Signup and view all the answers

Once created, virtual datasets cannot be used in charts, dashboards, and reports in Flow.BI.

False Signup and view all the answers

Virtual datasets can only be used for extending the capabilities of Flow.BI.

False Signup and view all the answers

It is not necessary to test virtual datasets thoroughly before using them in production.

False Signup and view all the answers

Virtual datasets provide a consistent view of the data, regardless of the underlying data sources.

True Signup and view all the answers

Virtual datasets are only implemented in the repository.

False Signup and view all the answers

Documenting virtual datasets is unnecessary.

False Signup and view all the answers

Virtual datasets can be used to create new datasets from existing datasets or filter datasets.

True Signup and view all the answers

The first step to create a virtual dataset in Flow.BI is to enter an SQL query.

False Signup and view all the answers

One of the tips for using virtual datasets in Flow.BI is to give them clear and concise names.

True Signup and view all the answers

Match the following benefits of using virtual datasets in Flow.BI with their descriptions:

Data abstraction = Virtual datasets provide a consistent view of the data, regardless of the underlying data sources Extended capabilities = Virtual datasets can be a powerful tool for extending the capabilities of Flow.BI and for creating new and innovative ways to explore and visualize data Flexibility = Virtual datasets can be used to create new datasets from existing datasets or filter datasets Enhanced documentation = Document your virtual datasets. Test your virtual datasets thoroughly before using them in production Signup and view all the answers

Match the following tips for using virtual datasets in Flow.BI with their descriptions:

Clear and concise names = Give your virtual datasets clear and concise names Descriptive SQL queries = Use descriptive SQL queries to define your virtual datasets Thorough testing = Test your virtual datasets thoroughly before using them in production Effective usage = By following these tips, you can make it easier for yourself and others to use virtual datasets in Flow.BI Signup and view all the answers

Match the following characteristics of virtual datasets with their functionalities:

Creation process = Virtual datasets are created in the Flow.BI Explore page Usage in charts, dashboards, and reports = Once created, you can use virtual datasets in charts, dashboards, and reports just like any other dataset Access via SQL API = Virtual datasets provide access via SQL API with full PostgreSQL functionality Data manipulation = Virtual datasets can be used to create new datasets from existing datasets or filter datasets Signup and view all the answers

Match the following statements about virtual datasets with their correct implications:

Naming importance = One of the tips for using virtual datasets in Flow.BI is to give them clear and concise names Documentation purpose = Documenting virtual datasets is necessary for effective usage Limitations = Virtual datasets have limited functionality due to performance issues Query type = Virtual datasets in Flow.BI are created using SQL queries Signup and view all the answers

Match the following additional benefits of using virtual datasets in Flow.BI with their descriptions:

Enhanced data abstraction = Virtual datasets provide a consistent view of the data, regardless of the underlying data sources Extended capabilities = Virtual datasets can be a powerful tool for extending the capabilities of Flow.BI and for creating new and innovative ways to explore and visualize data Improved flexibility = Virtual datasets can be used to create new datasets from existing datasets or filter datasets Efficient testing process = Test your virtual datasets thoroughly before using them in production Signup and view all the answers

[05/Deseado/01]

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Questions and Answers

Where do virtual datasets exist?

What is the main characteristic of virtual datasets in terms of access?

Why are virtual datasets' functionalities limited?

Virtual datasets are only implemented in the repository.

Virtual datasets have limited functionality due to performance issues.

Virtual datasets provide access via SQL API with full PostgreSQL functionality.

Match the following features of virtual datasets with their characteristics:

Match the following statements about virtual datasets with their correct descriptions:

Match the following characteristics of virtual datasets with their corresponding descriptions:

What are virtual datasets in Flow.BI?

Where are virtual datasets created in Flow.BI?

What is the first step to create a virtual dataset in Flow.BI?

What can virtual datasets be used for in Flow.BI?

What is a tip for using virtual datasets effectively in Flow.BI?

What is the additional benefit of using virtual datasets in Flow.BI?

Why should virtual datasets have clear and concise names?

Which feature enables virtual datasets to provide a consistent view of the data?

What is the purpose of documenting virtual datasets?

Which type of queries are used to define virtual datasets?

Virtual datasets in Flow.BI are created using SQL queries.

To create a virtual dataset in Flow.BI, you need to click the Explore page.

Once created, virtual datasets cannot be used in charts, dashboards, and reports in Flow.BI.

Virtual datasets can only be used for extending the capabilities of Flow.BI.

It is not necessary to test virtual datasets thoroughly before using them in production.

Virtual datasets provide a consistent view of the data, regardless of the underlying data sources.

Virtual datasets are only implemented in the repository.

Documenting virtual datasets is unnecessary.

Virtual datasets can be used to create new datasets from existing datasets or filter datasets.

The first step to create a virtual dataset in Flow.BI is to enter an SQL query.

One of the tips for using virtual datasets in Flow.BI is to give them clear and concise names.

Match the following benefits of using virtual datasets in Flow.BI with their descriptions:

Match the following tips for using virtual datasets in Flow.BI with their descriptions:

Match the following characteristics of virtual datasets with their functionalities:

Match the following statements about virtual datasets with their correct implications:

Match the following additional benefits of using virtual datasets in Flow.BI with their descriptions:

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