wrong answer in dp 203 test exam question

@Darjuš Vasiukevič - Thanks for the question and using MS Q&A platform.

Accordingly, to the document which you shared the correct answer would be: df.write

Let's understand the difference between df.write and df.writestreamin Azure Databricks.
df.write and df.writestream are two different methods used in Azure Databricks for writing data to a destination.

df.write is used to write a batch DataFrame to a destination. It is a synchronous operation, which means that the write operation will complete before the next line of code is executed. This method is used to write data to a destination that does not require continuous updates, such as a file system or a database.

On the other hand, df.writestream is used to write a streaming DataFrame to a destination. It is an asynchronous operation, which means that the write operation will continue to run in the background while the next line of code is executed. This method is used to write data to a destination that requires continuous updates, such as a streaming service or a real-time dashboard.

In summary, df.write is used for batch processing, while df.writestream is used for streaming processing.

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