You have an Azure SQL database that contains a table named Customer. Customer has the columns shown in the following table.

You plan to implement a dynamic data mask for the Customer_Phone column. The mask must meet the following requirements:
The first six numerals of each customer's phone number must be masked.
The last four digits of each customer's phone number must be visible.
Hyphens must be preserved and displayed.
How should you configure the dynamic data mask? To answer, select the appropriate options in the answer area.

Correct Answer:

Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/security/dynamic-data-masking

Comment: *

Name: *

Email: *

Verification: *

You plan to migrate on-premises Microsoft SQL Server databases to Azure.
You need to identify which deployment and resiliency options meet the following requirements:
Support user-initiated backups.
Support multiple automatically replicated instances across Azure regions.
Minimize administrative effort to implement and maintain business continuity.
What should you identify? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Correct Answer:

Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/virtual-machines/windows/sql-server-on-azure-vm-iaas-what-is-overview
https://docs.microsoft.com/en-us/dotnet/architecture/cloud-native/infrastructure-resiliency-azure

Comment: *

Name: *

Email: *

Verification: *

HOTSPOT
You plan to develop a dataset named Purchases by using Azure Databricks. Purchases will contain the following columns:
* ProductID
* ItemPrice
* LineTotal
* Quantity
* StoreID
* Minute
* Month
* Hour
* Year
* Day
You need to store the data to support hourly incremental load pipelines that will vary for each StoreID. The solution must minimize storage costs.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:

Correct Answer:

Section: [none]
Explanation:
Box 1: .partitionBy
Example:
df.write.partitionBy("y","m","d")
.mode(SaveMode.Append)
.parquet("/data/hive/warehouse/db_name.db/" + tableName)
Box 2: ("Year","Month","Day","Hour","StoreID")
Box 3: .parquet("/Purchases")
Reference:
https://intellipaat.com/community/11744/how-to-partition-and-write-dataframe-in-spark-without-deleting- partitions-with-no-new-data

Comment: *

Name: *

Email: *

Verification: *

You are building a database in an Azure Synapse Analytics serverless SQL pool.
You have data stored in Parquet files in an Azure Data Lake Storage Gen2 container.
Records are structured as shown in the following sample.

The records contain two applicants at most.
You need to build a table that includes only the address fields.
How should you complete the Transact-SQL statement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Correct Answer:

Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql/develop-tables-external-tables

Comment: *

Name: *

Email: *

Verification: *

You have an Azure virtual machine named VM1 on a virtual network named VNet1. Outbound traffic from VM1 to the internet is blocked.
You have an Azure SQL database named SqlDb1 on a logical server named SqlSrv1.
You need to implement connectivity between VM1 and SqlDb1 to meet the following requirements:
Ensure that all traffic to the public endpoint of SqlSrv1 is blocked.
Minimize the possibility of VM1 exfiltrating data stored in SqlDb1.
D18912E1457D5D1DDCBD40AB3BF70D5D
What should you create on VNet1?

• A.a VPN gateway
• B.a service endpoint
• C.a private link
• D.an ExpressRoute gateway

Comment: *

Name: *

Email: *

Verification: *