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NEW QUESTION: 1
Your company network includes an On-Premises Windows Active Directory (AD) that has a DNS domain named contoso.local and an email domain named contoso.com. You plan to migrate from On-Premises Exchange to Office 365.
You configure DirSync and set all Azure Active Directory (Azure AD) usernames as
%username%@contoso.com
You need to ensure that each user is able to log on by using the email domain as the username.
Which two actions should you perform? Each correct answer presents part of the solution.
A. Verify the email domain in Azure AD domains.
B. Verify the Windows AD DNS domain in Azure AD domains.
C. Run the Set-MsolUserPrincipalName -UserPrincipalName
%username%@contoso.onmicrosoft.com -NewUserPrincipalName %username %@contoso.com Power Shell cmdlet.
D. Edit the ProxyAddress attribute on the On-Premises Windows AD user account.
E. Update the On-Premises Windows AD user account UPN to match the email address.
Answer: A,C
Explanation:
If you have already set up Active Directory synchronization, the user's UPN may not match the user's on-premises UPN defined in Active Directory. To fix this, rename the user's UPN using the Set- MsolUserPrincipalName cmdlet in the Microsoft Azure Active Directory Module for Windows PowerShell.
The email domain (Contoso.com) needs to be verified in Office 365.
References:
https://msdn.microsoft.com/en-us/library/azure/jj151786.aspx
NEW QUESTION: 2
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in the series.
Start of repeated scenario
You have a Microsoft SQL Server data warehouse instance that supports several client applications.
The data warehouse includes the following tables: Dimension.SalesTerritory, Dimension.Customer, Dimension.Date, Fact.Ticket, and Fact.Order. The Dimension.SalesTerritory and Dimension.Customer tables are frequently updated. The Fact.Order table is optimized for weekly reporting, but the company wants to change it to daily. The Fact.Order table is loaded by using an ETL process. Indexes have been added to the table over time, but the presence of these indexes slows data loading.
All tables are in a database named DB1. You have a second database named DB2 that contains copies of production data for a development environment. The data warehouse has grown and the cost of storage has increased. Data older than one year is accessed infrequently and is considered historical.
The following requirements must be met:
Implement table partitioning to improve the manageability of the data warehouse and to avoid the need
to repopulate all transactional data each night. Use a partitioning strategy that is as granular as possible.
Partition the Fact.Order table and retain a total of seven years of data.
Partition the Fact.Ticket table and retain seven years of data. At the end of each month, the partition
structure must apply a sliding window strategy to ensure that a new partition is available for the upcoming month, and that the oldest month of data is archived and removed.
Optimize data loading for the Dimension.SalesTerritory, Dimension.Customer, and Dimension.Date
tables.
Incrementally load all tables in the database and ensure that all incremental changes are processed.
Maximize the performance during the data loading process for the Fact.Order partition.
Ensure that historical data remains online and available for querying.
Reduce ongoing storage costs while maintaining query performance for current data.
You are not permitted to make changes to the client applications.
End of repeated scenario
You need to implement the data partitioning strategy.
How should you partition the Fact.Order table?
A. Create 17,520 partitions.
B. Use a granularity of one month.
C. Use a granularity of one day.
D. Create 1,460 partitions.
Answer: C
Explanation:
Explanation/Reference:
Explanation:
We create on partition for each day, which means that a granularity of one day is used.
Note: If we calculate the partitions that are needed, we get: 7 years times 365 days is 2,555. Make that
2,557 to provide for leap years.
From scenario: Partition the Fact.Order table and retain a total of seven years of data.
The Fact.Order table is optimized for weekly reporting, but the company wants to change it to daily.
Maximize the performance during the data loading process for the Fact.Order partition.
Reference: https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-tables- partition
NEW QUESTION: 3
While working on a data problem, Curt, Bill, Ben, Mike, and Matt introduced a vast amount of corrupted data into the database. Pablo has discovered this problem and he needs you to recover the database to the point in time prior to the introduction of the corruption. The logical corruption was introduced at 6:30 p.m. on September 6, 2008.
Which of the following would be the correct commands to use to restore the database to a point in time before the corruption?
A. Option C
B. Option E
C. Option B
D. Option A
E. Option D
Answer: A
NEW QUESTION: 4
WebApp1이라는 Azure 웹앱을 만듭니다. WebApp1에는 다음 전시회에 표시된 자동 스케일 설정이 있습니다.
스케일 아웃 및 스케일인 규칙은 지속 시간이 10 분이고 냉각 시간이 5 분이 되도록 구성됩니다.
드롭 다운 메뉴를 사용하여 그래픽에 표시된 정보를 기반으로 각 설명을 완료하는 답변 선택을 선택하십시오.
참고 : 각 올바른 선택은 1 포인트의 가치가 있습니다.
Answer:
Explanation:
Explanation