diff --git a/README.md b/README.md
index f5d0608..2442525 100644
--- a/README.md
+++ b/README.md
@@ -171,7 +171,7 @@ This command creates two files my-dsvm-env.compute and my-dsvm-env.runconfig und
 
 To set up Spark environment, run the following command in the CLI:
 
-    az ml computetarget attach --name my-spark-env --address <cluster name>-ssh.azurehdinsight.net  --username <username> --password <password> --type cluster
+    az ml computetarget attach --name my-spark-env --address <cluster name>-ssh.azurehdinsight.net  --username <username> --password <password> --cluster
 
 with the name of the cluster, cluster's SSH user name and password. The default value of SSH user name is `sshuser`, unless you changed it during provisioning of the cluster. The name of the cluster can be found in Properties section of your cluster page in Azure portal:
 
diff --git a/code/01_data_acquisition_and_understanding/ReadMe.md b/code/01_data_acquisition_and_understanding/ReadMe.md
index 5dc6226..ad18755 100644
--- a/code/01_data_acquisition_and_understanding/ReadMe.md
+++ b/code/01_data_acquisition_and_understanding/ReadMe.md
@@ -46,11 +46,11 @@ To run this script into the HDInsight Spark cluster,
 ```
     az ml experiment submit -c my-spark-env 1_Download_and_Parse_XML_Spark.py   
 ```
-    where my-spark-env is the Spark environment defined in the [configuration step](../../ReadMe.md).
+where my-spark-env is the Spark environment defined in the [configuration step](../../README.md).
 
 ### Notes
 - There are more that 800 XML files that are present on the Medline ftp server. The shared code downloads them all which takes a long time. If you just want to test the code, you can change that and download only a subsample.
 - The source code of the PubMed Parser is also included in the repository.
 
 ### Next Step
-2. [Modeling](./code/02_modeling/ReadMe.md)
+2. [Modeling](../02_modeling/ReadMe.md)