[{"Value":"","Discard":false,"Expires":9999999999}]
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質問 # 198
You have SQL Server on an Azure virtual machine that contains a database named DB1. DB1 is 30 TB and has a 1-GB daily rate of change.
You back up the database by using a Microsoft SQL Server Agent job that runs Transact-SQL commands.
You perform a weekly full backup on Sunday, daily differential backups at 01:00, and transaction log backups every five minutes.
The database fails on Wednesday at 10:00.
Which three backups should you restore in sequence? To answer, move the appropriate backups from the list of backups to the answer area and arrange them in the correct order.
正解:
解説:
Explanation:
質問 # 199
You have SQL Server on an Azure virtual machine.
You need to use Policy-Based Management in Microsoft SQL Server to identify stored procedures that do not comply with your naming conventions.
Which three 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.
正解:
解説:
Explanation:
Reference:
https://www.mssqltips.com/sqlservertip/2298/enforce-sql-server-database-naming-conventions-using-policy-base
質問 # 200
You are building an Azure Stream Analytics job to retrieve game data.
You need to ensure that the job returns the highest scoring record for each five-minute time interval of each game.
How should you complete the Stream Analytics query? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解:
解説:
Explanation:
Box 1: TopOne() OVER(PARTITION BY Game ORDER BY Score Desc)
TopOne returns the top-rank record, where rank defines the ranking position of the event in the window according to the specified ordering. Ordering/ranking is based on event columns and can be specified in ORDER BY clause.
Analytic Function Syntax:
TopOne() OVER ([<PARTITION BY clause>] ORDER BY (<column name> [ASC |DESC])+ <LIMIT DURATION clause> [<WHEN clause>]) Box 2: Tumbling(minute 5) Tumbling window functions are used to segment a data stream into distinct time segments and perform a function against them, such as the example below. The key differentiators of a Tumbling window are that they repeat, do not overlap, and an event cannot belong to more than one tumbling window.
Reference:
https://docs.microsoft.com/en-us/stream-analytics-query/topone-azure-stream-analytics
https://github.com/MicrosoftDocs/azure-docs/blob/master/articles/stream-analytics/stream-analytics-window-fun
質問 # 201
Case Study 1 - Litware, Inc
Overview
Litware, Inc. is a renewable energy company that has a main office in Boston. The main office hosts a sales department and the primary datacenter for the company.
Physical Locations
Existing Environment
Litware has a manufacturing office and a research office is separate locations near Boston. Each office has its own datacenter and internet connection.
The manufacturing and research datacenters connect to the primary datacenter by using a VPN.
Network Environment
The primary datacenter has an ExpressRoute connection that uses both Microsoft peering and private peering. The private peering connects to an Azure virtual network named HubVNet.
Identity Environment
Litware has a hybrid Azure Active Directory (Azure AD) deployment that uses a domain named litwareinc.com. All Azure subscriptions are associated to the litwareinc.com Azure AD tenant.
Database Environment
The sales department has the following database workload:
An on-premises named SERVER1 hosts an instance of Microsoft SQL Server 2012 and two 1- TB databases.
A logical server named SalesSrv01A contains a geo-replicated Azure SQL database named SalesSQLDb1. SalesSQLDb1 is in an elastic pool named SalesSQLDb1Pool. SalesSQLDb1 uses database firewall rules and contained database users.
An application named SalesSQLDb1App1 uses SalesSQLDb1.
The manufacturing office contains two on-premises SQL Server 2016 servers named SERVER2 and SERVER3. The servers are nodes in the same Always On availability group. The availability group contains a database named ManufacturingSQLDb1 Database administrators have two Azure virtual machines in HubVnet named VM1 and VM2 that run Windows Server 2019 and are used to manage all the Azure databases.
Licensing Agreement
Litware is a Microsoft Volume Licensing customer that has License Mobility through Software Assurance.
Current Problems
SalesSQLDb1 experiences performance issues that are likely due to out-of-date statistics and frequent blocking queries.
Requirements
Planned Changes
Litware plans to implement the following changes:
Implement 30 new databases in Azure, which will be used by time-sensitive manufacturing apps that have varying usage patterns. Each database will be approximately 20 GB.
Create a new Azure SQL database named ResearchDB1 on a logical server named ResearchSrv01. ResearchDB1 will contain Personally Identifiable Information (PII) data.
Develop an app named ResearchApp1 that will be used by the research department to populate and access ResearchDB1.
Migrate ManufacturingSQLDb1 to the Azure virtual machine platform.
Migrate the SERVER1 databases to the Azure SQL Database platform.
Technical Requirements
Litware identifies the following technical requirements:
Maintenance tasks must be automated.
The 30 new databases must scale automatically.
The use of an on-premises infrastructure must be minimized.
Azure Hybrid Use Benefits must be leveraged for Azure SQL Database deployments.
All SQL Server and Azure SQL Database metrics related to CPU and storage usage and limits must be analyzed by using Azure built-in functionality.
Security and Compliance Requirements
Litware identifies the following security and compliance requirements:
Store encryption keys in Azure Key Vault.
Retain backups of the PII data for two months.
Encrypt the PII data at rest, in transit, and in use.
Use the principle of least privilege whenever possible.
Authenticate database users by using Active Directory credentials.
Protect Azure SQL Database instances by using database-level firewall rules.
Ensure that all databases hosted in Azure are accessible from VM1 and VM2 without relying on public endpoints.
Business Requirements
Litware identifies the following business requirements:
Meet an SLA of 99.99% availability for all Azure deployments.
Minimize downtime during the migration of the SERVER1 databases.
Use the Azure Hybrid Use Benefits when migrating workloads to Azure.
Once all requirements are met, minimize costs whenever possible.
Hotspot Question
You need to implement the monitoring of SalesSQLDb1. The solution must meet the technical requirements.
How should you collect and stream metrics? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解:
解説:
Explanation:
Box 1: The server, the elastic pool, and the database
Senario:
SalesSQLDb1 is in an elastic pool named SalesSQLDb1Pool.
Litware technical requirements include: all SQL Server and Azure SQL Database metrics related to CPU and storage usage and limits must be analyzed by using Azure built-in functionality.
Box 2: Azure Event hubs
Scenario: Migrate ManufacturingSQLDb1 to the Azure virtual machine platform.
Event hubs are able to handle custom metrics.
Incorrect Answers:
Azure Log Analytics
Azure metric and log data are sent to Azure Monitor Logs, previously known as Azure Log Analytics, directly by Azure. Azure SQL Analytics is a cloud only monitoring solution supporting streaming of diagnostics telemetry for all of your Azure SQL databases.
However, because Azure SQL Analytics does not use agents to connect to Azure Monitor, it does not support monitoring of SQL Server hosted on-premises or in virtual machines.
質問 # 202
You have a new Azure SQL database named DB1 on an Azure SQL server named AzSQL1.
The only user who was created is the server administrator.
You need to create a contained database user in DB1 who will use Azure Active Directory (Azure AD) for authentication.
Which three 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.
正解:
解説:
Explanation:
Step 1: Set up the Active Directory Admin for AzSQL1.
Step 2: Connect to DB1 by using the server administrator.
Sign into your managed instance with an Azure AD login granted with the sysadmin role.
Step 3: Create a user by using the FROM EXTERNAL PROVIDER clause.
FROM EXTERNAL PROVIDER is available for creating server-level Azure AD logins in SQL Database managed instance. Azure AD logins allow database-level Azure AD principals to be mapped to server-level Azure AD logins. To create an Azure AD user from an Azure AD login use the following syntax:
CREATE USER [AAD_principal] FROM LOGIN [Azure AD login]
Reference:
https://docs.microsoft.com/en-us/sql/t-sql/statements/create-user-transact-sql
質問 # 203
......
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