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NEW QUESTION: 1
A. Option A
B. Option D
C. Option B
D. Option C
Answer: A
Explanation:
Explanation
UserPrincipalName - contains the UserPrincipalName (UPN) of this user. The UPN is what the user will use when they sign in into Azure AD. The common structure is @, so for Abby Brown in Contoso.com, the UPN would be [email protected] Example:
To create the user, call the New-AzureADUser cmdlet with the parameter values:
powershell New-AzureADUser -AccountEnabled $True -DisplayName "Abby Brown" -PasswordProfile
$PasswordProfile -MailNickName "AbbyB" -UserPrincipalName "[email protected]" References:
https://docs.microsoft.com/bs-cyrl-ba/powershell/azure/active-directory/new-user-sample?view=azureadps-2.0
NEW QUESTION: 2
Identify the missing word in the following sentence... A PRINCE2 project focuses on the definition and delivery of, in particular their quality requirements?
A. Products
B. Outcomes
C. Activities
D. Benefits
Answer: A
NEW QUESTION: 3
A Developer is working on an application that tracks hundreds of millions of product reviews in an Amazon DynamoDB table. The records include the data elements shown in the table:
Which field, when used as the partition key, would result in the MOST consistent performance using DynamoDB?
A. starRating
B. reviewID
C. comment
D. productID
Answer: D
Explanation:
Explanation
Refer AWS documentation - DynamoDB Design partition key
The partition key portion of a table s primary key determines the logical partitions in which a table's data is stored. This in turn affects the underlying physical partitions. Provisioned I/O capacity for the table is divided evenly among these physical partitions. Therefore a partition key design that doesn't distribute I/O requests evenly can create "hot" partitions that result in throttling and use your provisioned I/O capacity inefficiently.
The optimal usage of a table's provisioned throughput depends not only on the workload patterns of individual items, but also on the partition-key design. This doesn't mean that you must access all partition key values to achieve an efficient throughput level, or even that the percentage of accessed partition key values must be high. It does mean that the more distinct partition key values that your workload accesses, the more those requests will be spread across the partitioned space. In general, you will use your provisioned throughput more efficiently as the ratio of partition key values accessed to the total number of partition key values increases.
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