You need to meet the technical requirements for deploying reports and datasets to the User Experience workspace. What should you do?
You use Azure Synapse Analytics and Apache Spark notebooks to You need to use PySpark to gain access to the visual libraries. Which Python libraries should you use?
Matplotlib
You can render standard plotting libraries, like Matplotlib, using the built-in rendering functions for each library.
Matplotlib is a plotting library for the Python programming language and its numerical mathematics extension NumPy.
Additional libraries
Beyond these libraries, the Azure Synapse Analytics Runtime also includes the following set of libraries that are often used for data visualization:
Seaborn
Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics.
You need to recommend a solution for the customer workspaces to support the planned changes.
Which two configurations should you include in the recommendation? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Build a new dataset in the FinData workspace by using data from the Synapse Analytics dedicated SQL pool.
Provide all the customers with their own Power BI workspace to create their own reports. Each workspace will use the new dataset in the FinData workspace
You have a Power Bl report that contains a bar chart. The bar chart displays sales by country.
You need to ensure that a summary of the data shown on the bar chart is accessible by using a screen reader.
What should you configure on the bar chart?
You have an Azure subscription that contains an Azure Synapse Analytics serverless SQL pool named Pool1.
You plan to deploy a data lake that will record the history of transactions executed against Pool1.
You need to recommend which type of file to use to store the history. The solution must ensure that the history is written in the scope of the related transaction.
Which file type should you recommend?
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