Azure ML Managed Feature store problem

Question

Hi all, we are trying to figure out with Managed Feature Store, but have problem with access.

An error occurred while calling o1073.parquet.
: org.apache.hadoop.fs.azure.AzureException: org.apache.hadoop.fs.azure.AzureException: No credentials found for account dsmaterialization.blob.core.windows.net in the configuration, and its container fs-featurestore is not accessible using anonymous credentials. Please check if the container exists first. If it is not publicly available, you have to provide account credentials.
	at org.apache.hadoop.fs.azure.AzureNativeFileSystemStore.createAzureStorageSession(AzureNativeFileSystemStore.java:1123)
	at org.apache.hadoop.fs.azure.AzureNativeFileSystemStore.initialize(AzureNativeFileSystemStore.java:566)
	at org.apache.hadoop.fs.azure.NativeAzureFileSystem.initialize(NativeAzureFileSystem.java:1423)
	at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:3469)
	at org.apache.hadoop.fs.FileSystem.access$300(FileSystem.java:174)
	at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:3574)
	at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:3521)
	at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:540)
	at org.apache.hadoop.fs.Path.getFileSystem(Path.java:365)
	at org.apache.spark.sql.execution.datasources.DataSource$.$anonfun$checkAndGlobPathIfNecessary$1(DataSource.scala:752)
	at scala.collection.immutable.List.map(List.scala:293)
	at org.apache.spark.sql.execution.datasources.DataSource$.checkAndGlobPathIfNecessary(DataSource.scala:750)
	at org.apache.spark.sql.execution.datasources.DataSource.checkAndGlobPathIfNecessary(DataSource.scala:579)
	at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:408)
	at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:235)
	at org.apache.spark.sql.DataFrameReader.$anonfun$load$2(DataFrameReader.scala:218)
	at scala.Option.getOrElse(Option.scala:189)
	at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:218)
	at org.apache.spark.sql.DataFrameReader.parquet(DataFrameReader.scala:574)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
	at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
	at py4j.Gateway.invoke(Gateway.java:282)
	at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
	at py4j.commands.CallCommand.execute(CallCommand.java:79)
	at py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
	at py4j.ClientServerConnection.run(ClientServerConnection.java:106)
	at java.lang.Thread.run(Thread.java:750)
Caused by: org.apache.hadoop.fs.azure.AzureException: No credentials found for account dsmaterialization.blob.core.windows.net in the configuration, and its container fs-featurestore is not accessible

But as we checked we have all rights for blob storage accounts. What we should do? And how figure out with this problem? Where we should enter credentials for this container?