Hi all :) I have a question regarding creating a measure table in lakehouse. I readed some materials in web and I'm stuck. Below are steps that I did: 1. I've created a measure table via Notebook: data = [(1, 'MeasureTable')] columns = ['ID', 'Col1'] measure_df = spark.createDataFrame(data, columns) measure_df.show() spark.sql("DROP TABLE IF EXISTS MeasureTable") measure_df.write.format("delta").saveAsTable('MeasureTable') 2. In SQL Endpoint I added measures to the table, when I'm clicking New Report button, I can see measureTable, properly formatted. But... there is no option to download this report with connection to SQL endpoint (button is inactive). 3. When I go back to the lakehouse and I creating new semantic model, my measure table don't show measures that I added before to default semantic model in SQL Endpoint. And it show only table added in the notebook: +--+----------------------+ | ID| Col1 | +--+----------------------+ | 1 |MeasureTable| +--+----------------------+ Do you know how to handle that case, where you want to have a default measures added to the model? I will be very appreciate for your help and advice ;)

Hi All, I'm testing one of leakhouses for one of my exsisting PBI reports and workspace and when I trying to create a new semantic model I have below error: unexpected error dispatching create semantic model to portal ms fabric lakehouse There is no explanation in MS Community web page, I can modify default semantic model in the warehouse but this error is limiting my actions. Do you have any solutions to it? :)