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Questions and Answers

Which data sources are supported by Flow.BI?

  • Only Salesforce CRM and Mailchimp
  • Only semi-structured data (JSON, XML)
  • Any JDBC driver (correct)
  • Only real-time data (Kafka)

    • What does Flow.BI do with real-time messages in the queue?

  • It breaks them into business keys, relationships, and descriptive data (correct)
  • It generates reports
  • It supports only semi-structured data
  • It generates a logical model

    • What is the main function of Flow.BI?

  • To process real-time data
  • To generate a logical model (correct)
  • To support any JDBC driver
  • To generate reports

    • Flow.BI supports any JDBC driver as a data source.

    <p>True</p> Signup and view all the answers

    Flow.BI supports semi-structured data formats such as JSON and XML.

    <p>True</p> Signup and view all the answers

    Flow.BI generates both the logical model and the physical model of the data.

    <p>False</p> Signup and view all the answers

    Match the following data sources with their support in Flow.BI:

    <p>JDBC driver = Fundamentally every Salesforce CRM = Must support Mailchimp = Must support Semi-structured data (JSON, XML) = Supported, as well</p> Signup and view all the answers

    Match the following data types with their support in Flow.BI:

    <p>Real-time data (Kafka) = Supported Logical model = Generated by Flow.BI Business keys, relationships, descriptive data = Generated from real-time messages in the queue Physical model = Not generated by Flow.BI</p> Signup and view all the answers

    Match the following tasks with their responsibility in Flow.BI:

    <p>Breaks the real-time messages in the queue = Flow.BI Generates the logical model = Flow.BI Generates the physical model = Not Flow.BI Supports any JDBC driver = Flow.BI</p> Signup and view all the answers

    Match the following data formats with their descriptions:

    <p>JSON = A text-based data format that is easy to read and write, supported by all major programming languages XML = A markup language that is more complex than JSON, but more powerful and flexible, supported by all major programming languages and databases</p> Signup and view all the answers

    Match the following acronyms with their corresponding meanings:

    <p>JSON = JavaScript Object Notation XML = Extensible Markup Language</p> Signup and view all the answers

    Match the following features with the data format they are associated with:

    <p>Based on JavaScript objects = JSON More powerful and flexible = XML</p> Signup and view all the answers

    Match the following data formats with their level of complexity:

    <p>JSON = Less complex than XML XML = More complex than JSON</p> Signup and view all the answers

    Which data format is based on JavaScript objects?

    <p>JSON</p> Signup and view all the answers

    Which data format is more complex but powerful and flexible?

    <p>XML</p> Signup and view all the answers

    Which data format is supported by all major programming languages and databases?

    <p>XML</p> Signup and view all the answers

    Which data format is easy to read and write and supported by all major programming languages?

    <p>JSON</p> Signup and view all the answers

    True or false: JSON is more complex than XML.

    <p>False</p> Signup and view all the answers

    True or false: XML is supported by all major programming languages and databases.

    <p>True</p> Signup and view all the answers

    True or false: JSON is a markup language.

    <p>False</p> Signup and view all the answers

    True or false: XML is easier to read and write than JSON.

    <p>False</p> Signup and view all the answers

    True or false: JSON and XML are both data formats used to represent structured data.

    <p>True</p> Signup and view all the answers

    True or false: JSON is easier to read and write than XML.

    <p>True</p> Signup and view all the answers

    True or false: XML is more powerful and flexible than JSON.

    <p>True</p> Signup and view all the answers

    True or false: XML is supported by all major programming languages and databases.

    <p>True</p> Signup and view all the answers

    Which feature of Flow.BI is specifically designed for enterprise organizations?

    <p>Historizing data over time</p> Signup and view all the answers

    Which of the following best describes meta data?

    <p>Abstraction of data records</p> Signup and view all the answers

    What is the first step after setting up the instance in Flow.BI?

    <p>Configuring data sources</p> Signup and view all the answers

    What happens if a data source does not have meta data available?

    <p>Flow.BI works only with the data itself</p> Signup and view all the answers

    What is the purpose of the 'Data Sources' screen in Flow.BI?

    <p>Defining connections to source systems</p> Signup and view all the answers

    What is the purpose of data profiling in Flow.BI?

    <p>To analyze past data and changes</p> Signup and view all the answers

    How often are data sources typically extracted in Flow.BI?

    <p>Once a day</p> Signup and view all the answers

    What is a deployment target in Flow.BI?

    <p>A connection to a remote system used as a source and target</p> Signup and view all the answers

    What does it mean to schedule a new data source with priority in Flow.BI?

    <p>Data extraction is performed as soon as possible</p> Signup and view all the answers

    What should be avoided when setting up multiple connections to the same data source in Flow.BI?

    <p>Having multiple connections to the same data source</p> Signup and view all the answers

    What happens to the data of a removed data source in Flow.BI?

    <p>Data is permanently deleted</p> Signup and view all the answers

    What is the purpose of the 'Add New Source' button in Flow.BI?

    <p>To add a new data source</p> Signup and view all the answers

    What is the minimum requirement for meta data in Flow.BI?

    <p>Knowledge of existing relations</p> Signup and view all the answers

    What does Flow.BI schedule for extraction once a data source has been added to the instance?

    <p>Both meta data and data</p> Signup and view all the answers

    What is the difference between a regular job and a new data source with priority in Flow.BI?

    <p>Data extraction is performed via the scheduler</p> Signup and view all the answers

    What type of data formats does Flow.BI support?

    <p>Semi-structured data formats</p> Signup and view all the answers

    What is the main function of Flow.BI?

    <p>Data profiling and analysis</p> Signup and view all the answers

    What does Flow.BI generate for the data?

    <p>Both the logical model and the physical model</p> Signup and view all the answers

    What is the main function of Flow.BI?

    <p>To build an enterprise-grade data analytics platform</p> Signup and view all the answers

    What is the purpose of the Data Processing Agreement (DPA) between Flow.BI and your organization?

    <p>To guarantee data security and privacy</p> Signup and view all the answers

    Flow.BI enables users to build an enterprise-grade data analytics platform with ease.

    <p>True</p> Signup and view all the answers

    The solution produced with Flow.BI provides features often required by enterprise organizations, including historizing data over time and enforcing access control lists.

    <p>True</p> Signup and view all the answers

    The first step after setting up the instance in Flow.BI is to configure the data sources.

    <p>True</p> Signup and view all the answers

    A deployment target in Flow.BI is a connection to a remote system that can be used as a source of data and a target for the final solution.

    <p>True</p> Signup and view all the answers

    Multiple connections to the same data source should be avoided in Flow.BI.

    <p>True</p> Signup and view all the answers

    Adding a new data source in Flow.BI can be done by selecting the 'Add New Source' button.

    <p>True</p> Signup and view all the answers

    Once a data source has been added to the instance in Flow.BI, the source is scheduled for the extraction of both meta data and data.

    <p>True</p> Signup and view all the answers

    Flow.BI supports any JDBC driver as a data source.

    <p>False</p> Signup and view all the answers

    XML is supported by all major programming languages and databases.

    <p>False</p> Signup and view all the answers

    JSON and XML are both data formats used to represent structured data.

    <p>True</p> Signup and view all the answers

    True or false: Meta data describes the structure of the data, while the data itself refers to customer and product records.

    <p>True</p> Signup and view all the answers

    True or false: CSV files are provided with meta data.

    <p>False</p> Signup and view all the answers

    True or false: Minimal meta data is always required, but access to data is not necessary.

    <p>False</p> Signup and view all the answers

    True or false: Data retention in Flow.BI allows for data profiling of past data and changes in between.

    <p>True</p> Signup and view all the answers

    True or false: Scheduling a new data source with priority guarantees immediate extraction.

    <p>False</p> Signup and view all the answers

    True or false: Flow.BI permanently deletes data for a source when it is removed.

    <p>True</p> Signup and view all the answers

    True or false: Data sources are typically extracted once a day on a regular basis in Flow.BI.

    <p>True</p> Signup and view all the answers

    True or false: Flow.BI generates both the logical model and the physical model of the data.

    <p>True</p> Signup and view all the answers

    True or false: JSON is more complex than XML.

    <p>False</p> Signup and view all the answers

    True or false: Flow.BI supports semi-structured data formats such as JSON and XML.

    <p>True</p> Signup and view all the answers

    Match the following Flow.BI terms with their descriptions:

    <p>Data Source = A connection to a typical source system or a generic relational database application Deployment Target = A connection to a remote system that can be used as a source of data and a target for the final solution Meta Data = Describes the structure of the data Data Extraction = The process of retrieving both meta data and data from a data source</p> Signup and view all the answers

    Match the following data formats with their descriptions:

    <p>JSON = Easy to read and write, supported by all major programming languages and databases XML = More complex but powerful and flexible, supported by all major programming languages and databases</p> Signup and view all the answers

    Match the following Flow.BI actions with their descriptions:

    <p>Adding new Data Sources = The first step after setting up the instance, involves defining connections to source systems or databases Scheduling a new data source with priority = A way to ensure immediate extraction when a source cannot provide all data in one connection</p> Signup and view all the answers

    Match the following terms with their meanings in the context of Flow.BI:

    <p>Right to be forgotten = A feature provided by Flow.BI to implement data security and privacy guidelines Historizing data over time = A feature provided by Flow.BI to meet the requirements of enterprise organizations</p> Signup and view all the answers

    Match the following Flow.BI features with their descriptions:

    <p>Data Security and Privacy Guidelines = Enforced by Flow.BI to control access to data Data Profiling = Allowed by data retention in Flow.BI to analyze past data and changes Real-time messages in the queue = Handled by Flow.BI</p> Signup and view all the answers

    Match the following terms with their descriptions in the context of Flow.BI:

    <p>Meta data = Abstraction of actual data that describes the structure of the data Data records = Actual customer and product records, such as 'John Smith' and 'Milk 1.5%' Data source extraction = Process of retrieving data from a source for analysis in Flow.BI Data retention = Storage of a few subsequent data loads to allow data profiling for past data and changes in between</p> Signup and view all the answers

    Match the following actions with their definitions in the context of Flow.BI:

    <p>Add New Source = Action to connect a new data source to the Flow.BI instance Data profiling = Process of analyzing data to understand its structure and content Scheduling = Process of setting up a regular extraction frequency for a data source Deployment target = Connection to a remote system that can be used as a source of data and a target for the final solution</p> Signup and view all the answers

    Match the following terms with their explanations in the context of Flow.BI:

    <p>Immediate extraction = Process of extracting a new data source with priority, performed as soon as possible via the scheduler Regular job = Data source extraction scheduled at a specific time, with the start time not guaranteed Minimal meta data = Only the knowledge of which relations (tables, files, documents) exist Data access = Always required for Flow.BI to work, even with minimal meta data</p> Signup and view all the answers

    Match the following concepts with their definitions in the context of Flow.BI:

    <p>Data source removal = Process that leads to permanent deletion of the data for this source in Flow.BI Optimized data format = Format in which the data will be temporarily stored for data profiling Job execution = Process of performing a data source extraction as soon as possible, but via the scheduler Data processing agreement = Document that contains details about the handling of data between Flow.BI and the organization</p> Signup and view all the answers

    Match the following terms with their meanings in the context of Flow.BI:

    <p>Source with meta data = Data source that provides information about its structure Source without meta data = Data source, such as CSV files, that is provided without meta data Data source extraction start time = Time at which a regular job starts in Flow.BI, not guaranteed Data source extraction priority = Status given to a new data source to speed up the initial process in Flow.BI</p> Signup and view all the answers

    Match the following actions with their outcomes in the context of Flow.BI:

    <p>Data source extraction = Data is extracted from a source and temporarily stored in a format optimized for data profiling Data source removal = Data for the removed source is permanently deleted in Flow.BI Scheduling a new data source with priority = Data source is extracted immediately and with priority over other scheduled jobs Data retention = A few subsequent data loads are stored to allow data profiling for past data and changes in between</p> Signup and view all the answers

    Match the following concepts with their descriptions in the context of Flow.BI:

    <p>Abstraction of data = Meta data that describes the structure of the actual data Data records = Actual customer and product records that are defined as data Data access = Always required by Flow.BI, even with minimal meta data Minimal meta data = Sufficient knowledge of which relations exist in the data</p> Signup and view all the answers

    Match the following terms with their definitions in the context of Flow.BI:

    <p>Immediate extraction = Process of extracting a new data source with priority, performed as soon as possible via the scheduler Regular job = Data source extraction scheduled at a specific time, with the start time not guaranteed Minimal meta data = Only the knowledge of which relations (tables, files, documents) exist Data access = Always required for Flow.BI to work, even with minimal meta data</p> Signup and view all the answers

    Match the following actions with their outcomes in the context of Flow.BI:

    <p>Data source extraction = Data is extracted from a source and temporarily stored in a format optimized for data profiling Data source removal = Data for the removed source is permanently deleted in Flow.BI Scheduling a new data source with priority = Data source is extracted immediately and with priority over other scheduled jobs Data retention = A few subsequent data loads are stored to allow data profiling for past data and changes in between</p> Signup and view all the answers

    Match the following concepts with their descriptions in the context of Flow.BI:

    <p>Abstraction of data = Meta data that describes the structure of the actual data Data records = Actual customer and product records that are defined as data Data access = Always required by Flow.BI, even with minimal meta data Minimal meta data = Sufficient knowledge of which relations exist in the data</p> Signup and view all the answers

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