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Application and monitoring of functional aspects of hybrid and cloud-based native information systems services based on Microsoft SQL Web Server and also on Microsoft Azure data solutions.Use of numerous tools and techniques to assist in daily database administration tasks, such as applying knowledge of using T-SQL for administrative administration purposes.Provides efficiency management, planning, protection, optimization, and monitoring for sophisticated relational data source options.Works collaboratively with Azure Data Engineers to monitor operational aspects of information platform solutions.
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NEW QUESTION # 66
Hotspot Question
You have an Azure subscription that contains an Azure SQL database named DB1.
You execute the following T-SQL statements against DB1.
For each of the following statements, select Yes if the statement is true, otherwise select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
The NCHAR(10) data type is a fixed-length Unicode character data type. Each character in NCHAR takes 2 bytes because it uses UTF-16 encoding. Therefore, NCHAR(10) will always occupy 20 bytes on disk (2 bytes per character for 10 characters), not 10 bytes. However, the statement is asking if each field occupies 10 bytes, which is misleading; it should be 20 bytes.
The statement "ALTER TABLE table1 REBUILD WITH (DATA_COMPRESSION = ROW);" specifies row-level compression, not dictionary compression. Row compression reduces the size of the data by storing fixed-length data types in variable-length storage format and by reducing metadata overhead. Dictionary compression is a feature of page compression, not row compression.
Column1 (TINYINT): Supports compression. Row compression can store this as a smaller size if possible. Column2 (VARCHAR(255)): Supports compression. Row compression can store only the used length of the string. Column4 (BINARY(50)): Supports compression. Row compression can store binary data more efficiently by removing unnecessary padding.
NEW QUESTION # 67
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have the on-premises networks shown in the following table.
You have an Azure subscription that contains an Azure SQL Database server named SQL1.
SQL1 contains two databases named DB1 and DB2.
You need to configure access to DB1 and DB2. The solution must meet the following requirements:
- Ensure that DB1 can be accessed only by users in Branch1.
- Ensure that DB2 can be accessed only by users in Branch2.
Solution: You connect to DB1 and run the following command.
EXECUTE sp_set_database_firewall_rule 'Allow db1 users',
'131.107.10.0', '131.107.10.255'
You connect to DB2 and run the following command.
EXECUTE sp_set_database_firewall_rule 'Allow db2 users',
'131.107.11.0', '131.107.11.255'
Does this meet the goal?
Answer: A
NEW QUESTION # 68
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.
Answer:
Explanation:
Explanation
Box 1: 0
Custom String : Masking method that exposes the first and last letters and adds a custom padding string in the middle. prefix,[padding],suffix Box 2: xxx-xxx Box 3: 5 Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/security/dynamic-data-masking
NEW QUESTION # 69
You have a new Azure SQL database. The database contains a column that stores confidential information.
You need to track each time values from the column are returned in a query. The tracking information must be stored for 365 days from the date the query was executed.
Which three actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: A,B,E
Explanation:
C: Advanced Data Security (ADS) is a unified package for advanced SQL security capabilities. ADS is available for Azure SQL Database, Azure SQL Managed Instance, and Azure Synapse Analytics. It includes functionality for discovering and classifying sensitive data D: You can apply sensitivity-classification labels persistently to columns by using new metadata attributes that have been added to the SQL Server database engine. This metadata can then be used for advanced, sensitivity-based auditing and protection scenarios.
A: An important aspect of the information-protection paradigm is the ability to monitor access to sensitive data. Azure SQL Auditing has been enhanced to include a new field in the audit log called data_sensitivity_information. This field logs the sensitivity classifications (labels) of the data that was returned by a query. Here's an example:
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/data-discovery-and-classification-overview
NEW QUESTION # 70
You have an Azure SQL database named DB1 in the General Purpose service tier.
The performance metrics for DB1 are shown in the following exhibit.
You need to reduce the Log 10 percentage. The solution must minimize costs.
What should you do?
Answer: D
NEW QUESTION # 71
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