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NEW QUESTION: 1
You have a table named SalesFact in an Azure SQL data warehouse. SalesFact contains sales data from the past 36 months and has the following characteristics:
* Is partitioned by month
* Contains one billion rows
* Has clustered columnstore indexes
All the beginning of each month, you need to remove data SalesFact that is older than 36 months as quickly as possible.
Which three actions should you perform in sequence in a stored procedure? 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 empty table named SalesFact_work that has the same schema as SalesFact.
Step 2: Switch the partition containing the stale data from SalesFact to SalesFact_Work.
SQL Data Warehouse supports partition splitting, merging, and switching. To switch partitions between two tables, you must ensure that the partitions align on their respective boundaries and that the table definitions match.
Loading data into partitions with partition switching is a convenient way stage new data in a table that is not visible to users the switch in the new data.
Step 3: Drop the SalesFact_Work table.
References:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-tables-partition
NEW QUESTION: 2
Joe, an employee, has just migrated from the Marketing department to the Accounting department and cannot save files to the Accounting share. He is a member of both the Marketing and Accounting security groups. A technician discovers the following permissions are in effect for the Accounting share:
Share permissions: Everyone - Full Control
NTFS permissions: Accounting - Full Control, Marketing - Deny All.
Which of the following should the technician do to enable Joe to save files to the Accounting share without compromising security?
A. Grant the Accounting group Full Control share permissions
B. Ask Joe to resave the file, as the permissions are correct
C. Remove the Deny permission for the Marketing group
D. Remove Joe from the Marketing group
Answer: D
NEW QUESTION: 3
各GLBPグループはいくつのアクティブな仮想ゲートウェイをサポートできますか？
A. 0
B. 1
C. 2
D. 3
Answer: B
NEW QUESTION: 4
A user has created a web application with Auto Scaling. The user is regularly monitoring the application and he observed that the traffic is highest on Thursday and Friday between 8 AM to 6 PM. What is the best solution to handle scaling in this case?
A. Schedule a policy which may scale up every day at 8 AM and scales down by 6 PM
B. Configure a batch process to add an instance by 8 AM and remove it by Friday 6 PM
C. Add a new instance manually by 8 AM Thursday and terminate the same by 6 PM Friday
D. Schedule Auto Scaling to scale up by 8 AM Thursday and scale down after 6 PM on Friday
Answer: D
Explanation:
Explanation
Auto Scaling based on a schedule allows the user to scale the application in response to predictable load changes. In this case the load increases by Thursday and decreases by Friday. Thus, the user can setup the scaling activity based on the predictable traffic patterns of the web application using Auto Scaling scale by Schedule.