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Which type of access does Flow.BI require to connect to data sources?

Both direct and indirect access (correct)

Indirect access only

Direct access only

No access required

Which of the following is NOT a supported query engine by Flow.BI?

Impala (correct)

Presto

Athena

Trino

What is the purpose of separate metadata connections in Flow.BI?

To connect to data sources

To store metadata repository

To enable data lake access

To establish data governance (correct)

Flow.BI requires direct access to data sources.

True Signup and view all the answers

Flow.BI supports data lake as an indirect access to data sources.

True Signup and view all the answers

Flow.BI allows separate metadata connections for data governance and metadata repository.

True Signup and view all the answers

Match the following JDBC drivers with their associated query engines in Flow.BI:

Athena, Presto, Trino, Impala, Polybase, Drill = Requires JDBC driver BigQuery, Snowflake, Synapse, Redshift Spectrum = External table Python, JavaScript, SQL, CSS = Not applicable Signup and view all the answers

Match the following data sources with their type of access in Flow.BI:

Direct access to the source = Flow.BI requirement Indirect access via data lake = Supported by Flow.BI Separate metadata connections = Data governance, metadata repository Python, JavaScript, SQL, CSS = Not applicable Signup and view all the answers

Match the following data lake systems with their associated query engines in Flow.BI:

Athena, Presto, Trino, Impala, Polybase, Drill = Query engine BigQuery, Snowflake, Synapse, Redshift Spectrum = Not applicable Relational, distributed file systems (S3, HDFS, Azure Data Lake) = Flow.BI requirement Python, JavaScript, SQL, CSS = Not applicable Signup and view all the answers

Match the following data access methods with their descriptions in the context of Flow.BI:

Direct access = Flow.BI needs direct access to the actual data source or a replica of it Indirect access = This might be achieved using AWS Data Migration Service (DMS) or a similar CDC tool Daily batches = A method that can be used to provide data to Flow.BI Data lake = A properly setup data lake can be used as a method of access for Flow.BI Signup and view all the answers

Match the following tools with their potential usage in Flow.BI for data access:

AWS Data Migration Service (DMS) = A tool that can be used to provide indirect access to data in Flow.BI CDC tool = A similar tool to AWS DMS that can provide indirect access to data in Flow.BI Data lake = A properly setup data lake can be used to provide indirect access to data in Flow.BI Daily batches = A method that can be used to provide direct access to data in Flow.BI Signup and view all the answers

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

Data source = The actual source of data that Flow.BI requires direct access to Replica = A copy of the actual data source that can be used for direct access in Flow.BI Daily batches = A method of providing data to Flow.BI which requires proper setup Data lake = A method of providing data to Flow.BI which requires proper setup Signup and view all the answers

Which of the following is a possible way to provide direct access to data for Flow.BI?

Using AWS Data Migration Service (DMS) Signup and view all the answers

What is another option, besides a replica of the data source, that can provide direct access to data for Flow.BI?

Using AWS Data Migration Service (DMS) Signup and view all the answers

Which of the following can be used as a data source for Flow.BI?

A properly setup data lake Signup and view all the answers

Flow.BI requires direct access to the actual data source or a replica of it

True Signup and view all the answers

Flow.BI supports data lake as a possible way to provide direct access to data

True Signup and view all the answers

Flow.BI can only connect to data sources through daily batches or a properly setup data lake

False Signup and view all the answers

[02/Connecticut/02]

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Questions and Answers

Which type of access does Flow.BI require to connect to data sources?

Which of the following is NOT a supported query engine by Flow.BI?

What is the purpose of separate metadata connections in Flow.BI?

Flow.BI requires direct access to data sources.

Flow.BI supports data lake as an indirect access to data sources.

Flow.BI allows separate metadata connections for data governance and metadata repository.

Match the following JDBC drivers with their associated query engines in Flow.BI:

Match the following data sources with their type of access in Flow.BI:

Match the following data lake systems with their associated query engines in Flow.BI:

Match the following data access methods with their descriptions in the context of Flow.BI:

Match the following tools with their potential usage in Flow.BI for data access:

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

Which of the following is a possible way to provide direct access to data for Flow.BI?

What is another option, besides a replica of the data source, that can provide direct access to data for Flow.BI?

Which of the following can be used as a data source for Flow.BI?

Flow.BI requires direct access to the actual data source or a replica of it

Flow.BI supports data lake as a possible way to provide direct access to data

Flow.BI can only connect to data sources through daily batches or a properly setup data lake

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