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NEW QUESTION: 1
How is the RouterLink port created between a Tier-1 Gateway and Tier-0 Gateway?
A. Manually create a Segment and connect to both Tier-1 and Tier-0 Gateways.
B. Automatically created when Tier-1 is connected with Tier-0 from NSX UI.
C. Manually create a Logical Switch and connect to bother Tier-1 and Tier-0 Gateways.
D. Automatically created when Tier-1 is created.
Answer: B
Explanation:
Explanation
https://docs.vmware.com/en/VMware-NSX-T-Data-Center/3.0/administration/GUID-3F163DEE-1EE6-4D80-BE

NEW QUESTION: 2
You administer a SQL Server 2014 server that contains a database named SalesDb. SalesDb contains a schema named Customers that has a table named Regions. A user named UserA is a member of a role named Sales. UserA is granted the Select permission on the Regions table. The Sales role is granted the Select permission on the Customers schem a.
You need to ensure that the following requirements are met:
Which Transact-SQL statement should you use?
A. DENY SELECT ON Object::Regions FROM UserA
B. EXEC sp_addrolemember 'Sales', 'UserA'
C. REVOKE SELECT ON Object::Regions FROM UserA
D. REVOKE SELECT ON Object::Regions FROM Sales
E. REVOKE SELECT ON Schema::Customers FROM UserA
F. REVOKE SELECT ON Schema::Customers FROM Sales
G. DENY SELECT ON Schema::Customers FROM Sales
H. DENY SELECT ON Object::Regions FROM Sales
I. DENY SELECT ON Schema::Customers FROM UserA
J. EXEC sp_droprolemember 'Sales', 'UserA'
Answer: F
Explanation:
Use REVOKE to remove the grant or deny of a permission.
References:https://docs.microsoft.com/en-us/sql/t-sql/statements/permissions-grant-deny-revoke- azure-sql-data-warehouse-parallel-data-warehouse

NEW QUESTION: 3
You are building an intelligent solution using machine learning models.
The environment must support the following requirements:
Data scientists must build notebooks in a cloud environment
Data scientists must use automatic feature engineering and model building in machine learning pipelines.
Notebooks must be deployed to retrain using Spark instances with dynamic worker allocation.
Notebooks must be exportable to be version controlled locally.
You need to create the environment.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:
Explanation:

Explanation:
Step 1: Create an Azure HDInsight cluster to include the Apache Spark Mlib library Step 2: Install Microsot Machine Learning for Apache Spark You install AzureML on your Azure HDInsight cluster.
Microsoft Machine Learning for Apache Spark (MMLSpark) provides a number of deep learning and data science tools for Apache Spark, including seamless integration of Spark Machine Learning pipelines with Microsoft Cognitive Toolkit (CNTK) and OpenCV, enabling you to quickly create powerful, highly-scalable predictive and analytical models for large image and text datasets.
Step 3: Create and execute the Zeppelin notebooks on the cluster
Step 4: When the cluster is ready, export Zeppelin notebooks to a local environment.
Notebooks must be exportable to be version controlled locally.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-zeppelin-notebook
https://azuremlbuild.blob.core.windows.net/pysparkapi/intro.html