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NEW QUESTION: 1
During development, the client must only send emails to their company domain.
How should a Campaign development make sure this is enforced?
A. Update non-company domain emails to NULL
B. Create s default workflow template with an exclusion activity recipient In other domains
C. Create a delivery template with an exclusion rule to remove recipient in other domains
D. Create a typology rule to exclude recipient in other domain
Answer: D
NEW QUESTION: 2
時間の経過とともに、利害関係者のプロジェクトの影響はどうなりますか？
A. 減少
B. 増加
C. 同じまま
D. ベアリングなし
Answer: A
NEW QUESTION: 3
Refer to the exhibit. When a user presses a speed dial to +442079460255 when the SAF network is down, which event should occur?
A. The call will fail because the ToDID is 0:.
B. The call will reroute via the PSTN with the constructed PSTN number as 442079460255.
C. The call will reroute via the PSTN with the constructed PSTN number as 00442079460255.
D. The call will fail because the called number will be 2079460255.
E. The call will reroute via the PSTN with the constructed PSTN number as +442079460255.
Answer: E
NEW QUESTION: 4
Answer:
Explanation:
Explanation
Box 1: sys.db_db_missing_index_group_stats
The sys.db_db_missing_index_group_stats table include the required columns for the main query:
avg_total_user_cost, avg_user_impact, user_seeks, and user scans.
Box 2: group_handle
Example: The following query determines which missing indexes comprise a particular missing index group, and displays their column details. For the sake of this example, the missing index group handle is 24.
SELECT migs.group_handle, mid.*
FROM sys.dm_db_missing_index_group_stats AS migs
INNER JOIN sys.dm_db_missing_index_groups AS mig
ON (migs.group_handle = mig.index_group_handle)
INNER JOIN sys.dm_db_missing_index_details AS mid
ON (mig.index_handle = mid.index_handle)
WHERE migs.group_handle = 24;
Box 3: sys.db_db_missing_index_group_stats
The sys.db_db_missing_index_group_stats table include the required columns for the subquery:
avg_total_user_cost and avg_user_impact.
Example: Find the 10 missing indexes with the highest anticipated improvement for user queries The following query determines which 10 missing indexes would produce the highest anticipated cumulative improvement, in descending order, for user queries.
SELECT TOP 10 *
FROM sys.dm_db_missing_index_group_stats
ORDER BY avg_total_user_cost * avg_user_impact * (user_seeks + user_scans)DESC;
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