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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Developing AI-Enabled Database Solutions (DP-800) |
| Exam Number: | DP-800 |
| Passing Score: | 700/1000 (typical Microsoft passing score; subject to confirmation) |
| Certificate Validity Period: | 1 year (Microsoft role-based certifications require annual renewal) |
| Exam Format: | Multiple choice, Case studies |
| Available Languages: | English |
| Recommended Training: | Microsoft Learn - Azure Data & AI Learning Paths |
| Exam Registration: | Microsoft Certification Dashboard |
| Sample Questions: | Microsoft DP-800 Sample Questions |
| Exam Way: | Online proctored or onsite testing center |
| Pre Condition: | No formal prerequisites required, but familiarity with Azure data services and database concepts is recommended |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/ |
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NEW QUESTION # 29
You need to recommend a solution for the TransactionProcessing application that meets the security requirements.
What should you include in the recommendation?
Answer: A
Explanation:
A). A service principal is the correct answer.
The critical requirements are that TransactionProcessing operates on-premises and must establish a passwordless connection to Azure SQL Database DB1.
A Microsoft Entra service principal provides an application identity that can authenticate to Azure SQL Database without relying on a hard-coded SQL username and password.
Technical implementation:
* Register TransactionProcessing as an application in Microsoft Entra ID and create its service principal.
* Configure certificate-based authentication instead of storing a client secret or SQL password in the connection string.
* Configure Microsoft Entra authentication for Azure SQL Database and create a database user mapped to the service principal.
* Grant the application only the required database permissions.
* Obtain a Microsoft Entra access token and use it to authenticate to DB1.
Microsoft documentation confirms that Azure SQL supports application authentication through service principals using certificates or client secrets.
Why the other options are incorrect:
* B. System-assigned managed identity: Requires an appropriately configured hosting resource. On- premises servers can support this through Azure Arc, but that configuration is not specified.
* C. Shared access key: Not a supported Azure SQL Database authentication mechanism.
* D. User-assigned managed identity: Requires a supported identity-assignment or federation configuration not described in the scenario.
DP-800 Official Study Guide Reference:
Main topic: Secure, optimize, and deploy database solutions.
Subtopic: Implement data security and compliance.
Specific examination objective: " Implement secure database access, including passwordless. "
NEW QUESTION # 30
You have a SQL database in Microsoft Fabric that contains a table named dbo.Orders. dbo.Orders has a clustered index, contains three years of data, and is partitioned by a column named OrderDate by month.
You need to remove all the rows for the oldest month. The solution must minimize the impact on other queries that access the data in dbo.Orders.
Solution: Identify the partition scheme for the oldest month, and then run the following Transact-SQL statement:
SQL
ALTER TABLE dbo.Orders
DROP PARTITION SCHEME {partition_scheme_name};
Does this meet the goal?
Answer: B
NEW QUESTION # 31
You have an Azure SQL database.
You need to create a scalar user-defined function (UDF) that returns the number of whole years between an input parameter named 0orderDate and the current date/time as a single positive integer. The function must be created in Azure SQL Database. You write the following code.
What should you insert at line 05?
Answer: D
Explanation:
The correct answer is D because the scalar UDF must return the number of whole years from the input
@OrderDate to the current date/time as a single positive integer . The correct DATEDIFF order is:
DATEDIFF(year, @OrderDate, GETDATE())
Microsoft documents that DATEDIFF(datepart, startdate, enddate) returns the count of specified datepart boundaries crossed between the start and end values. Since @OrderDate is the earlier date and GETDATE() is the later date, this ordering returns a positive result for past order dates.
The other choices are incorrect:
* A reverses the arguments and would return a negative value for a past order date.
* B is missing RETURN, and converting month difference to years by dividing by 12 is not the direct whole-year expression the question asks for.
* C subtracts year parts only, which can be off around anniversary boundaries because it ignores whether the full year has actually elapsed.
So the correct insertion at line 05 is:
RETURN DATEDIFF(year, @OrderDate, GETDATE());
NEW QUESTION # 32
What is a common pattern for integrating LLMs with SQL?
Answer: A
Explanation:
RAG ensures accurate, up-to-date responses using SQL data.
NEW QUESTION # 33
You have a SQL database in Microsoft Fabric that contains a table named dbo.Orders, dbo.Orders has a clustered index, contains three years of data, and is partitioned by a column named OrderDate by month.
You need to remove all the rows for the oldest month. The solution must minimize the impact on other queries that access the data in dbo.orders.
Solution; Identify the partition scheme (or the oldest month, and then run the following Transact-SQL statement.
ALTER TABLE dbo.Orders
DROP PARTITION SCHEME (partition_scheme_name);
Does this meet the goal?
Answer: B
Explanation:
This also does not meet the goal. DROP PARTITION SCHEME removes the partition scheme object from the database; it is not the command used to remove just the rows for the oldest month from a partitioned table.
Microsoft's DROP PARTITION SCHEME documentation is explicit that the statement removes the partition scheme itself.
For removing only the oldest month's rows with minimal impact, Microsoft points to partition-level maintenance operations such as truncating a single partition on a partitioned table. That targets only the needed data subset and is more efficient for retention workloads.
NEW QUESTION # 34
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