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NEW QUESTION: 1
NO: 13 HOTSPOT
You have three Microsoft Exchange Server 2019 servers named MBX01, MBX02, and MBX03 in a database availability group (DAG) named DAG01. You have a single mailbox database named MDB01 that replicates to all the servers.
All users report that mailbox searches from Outlook on the web return no results.
You discover that the mailbox content index on MBX02 has failed.
You need to ensure that all the users can search mailboxes successfully by using Outlook on the web. The solution must resolve the issue as quickly as possible.
How should you complete the command? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/powershell/module/exchange/database-availability-groups/update-mailboxdatab
NEW QUESTION: 2
Applications for Big Data are:
A. Invariable
B. All of the above
C. Infinite
D. Variable
E. Finite
Answer: C
Explanation:
Reference: http://blog.infochimps.com/2012/06/22/big-data-for-big-weather-predictions/ (First paragraph)
NEW QUESTION: 3
파일에 보존 일을 적용하면 다음을 보장합니다.
A. 해당 날짜 이전에 데이터가 삭제되지 않습니다.
B. 백업 사본은 그 날짜 이후에 보존되지 않습니다.
C. 날짜가 설정되기 전에는 데이터를 읽을 수 없습니다.
D. 동일한 이름을 가진 데이터 세트가 차별화 됩니다.
Answer: A
Explanation:
설명:
보유 날짜는 해당 날짜가 지나기 전에 파일을 겹쳐 쓸 수 없도록 합니다. 보유 일은 파일을 읽을 수있는 능력에 영향을 미치지 않습니다. 백업 복사본은 보유 일이 다르므로 파일을 덮어 쓴 후에도 유지 될 수 있습니다. 보유 날짜가 아닌 작성 날짜는 동일한 이름의 파일을 구별합니다.
NEW QUESTION: 4
You administer a database that is used for reporting purposes. The database has a large fact table that contains three hundred million rows. The table includes a clustered columnstore index and a nonclustered index on the ProductID column. New rows are inserted into the table every day.
Performance of queries that filter the Product ID column have degraded significantly.
You need to improve the performance of the queries.
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.
Answer:
Explanation:
Explanation
Step 1: Drop the clustered columnstore index
Step 2: Create a clustered rowstore index on ProductID.
Rowstore indexes perform best on queries that seek into the data, searching for a particular value, or for queries on a small range of values. Use rowstore indexes with transactional workloads since they tend to require mostly table seeks instead of table scans.
Step 3: Create a nonclustered index on ProductID