Microsoft DP-800 Exam Dumps

Get All Developing AI-Enabled Database Solutions Exam Questions with Validated Answers

DP-800 Pack
Vendor: Microsoft
Exam Code: DP-800
Exam Name: Developing AI-Enabled Database Solutions
Exam Questions: 61
Last Updated: May 17, 2026
Related Certifications: SQL AI Developer Associate
Exam Tags: Intermediate
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Free Microsoft DP-800 Exam Actual Questions

Question No. 1

Your team is developing an Azure SQL dataset solution from a locally cloned GitHub repository by using Microsoft Visual Studio Code and GitHub Copilot Chat.

You need to disable the GitHub Copilot repository-level instructions for yourself without affecting other users.

What should you do?

Show Answer Hide Answer
Correct Answer: A

GitHub documents that repository custom instructions for Copilot Chat can be disabled for your own use in the editor settings, and that doing so does not affect other users. In VS Code, this is controlled through settings related to instruction files, where you can disable the use of repository instruction files for your own environment.

The other options are incorrect:

B is not a documented mechanism for disabling repository-level Copilot instructions.

C would remove the repository instruction file itself and therefore affect everyone using that repository, which violates the requirement.


Question No. 2

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?

Show Answer Hide Answer
Correct Answer: B

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.


Question No. 3

You have an Azure SQL database that supports the OLTP workload of an order-processing application.

During a 10-minute incident window, you run a dynamic management view query and discover the following:

Session 72 is sleeping with open_transaction_count = 1.

Multiple other sessions show blocking_session_id = 72 in sys.dm_exec_requests.

sys.dm_exec_input_buffer(72, NULL) returns only BEGIN TRANSACTION UPDATE Sales.Orders.

Users report that updates to Sales.Orders intermittently time out during the incident window. The timeouts stop only after you manually terminate session 72.

What is a possible cause of the blocking?

Show Answer Hide Answer
Correct Answer: C

The best explanation is an open explicit transaction. During the incident, session 72 was sleeping but still had open_transaction_count = 1, and sys.dm_exec_input_buffer(72, NULL) showed only BEGIN TRANSACTION UPDATE Sales.Orders. That pattern indicates the session executed an update inside an explicit transaction and then remained idle without committing or rolling back, while still holding locks. Other sessions showing blocking_session_id = 72 is the expected symptom of that situation. Microsoft explains that blocking occurs when one session holds a lock on a resource and another session requests a conflicting lock, and sleeping sessions can continue to block if they retain locks through an open transaction.

This also fits the observed behavior that the timeouts stopped only after session 72 was terminated. Killing the session would roll back the active transaction and release the locks, allowing waiting updates to continue. That is much more consistent with an uncommitted transaction than with a deadlock, because deadlocks are normally detected and one session is chosen as the victim automatically rather than persisting until manual termination.


Question No. 4

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 number for the oldest month, and then run the following Transact-SQL statement.

TRUNCATE TABIE dbo.Orders

WITH (PARTITIONS (partition number));

Does this meet the goal?

Show Answer Hide Answer
Correct Answer: A

Yes, this meets the goal. Microsoft documents that on a partitioned table, you can use TRUNCATE TABLE ... WITH (PARTITIONS (...)) to remove data from a specific partition, and that this is an efficient maintenance operation that targets only that data subset rather than the whole table. Microsoft's partitioning guidance explicitly lists truncating a single partition as an example of a fast partition-level maintenance or retention operation.

That matches the requirement to remove the oldest month while minimizing impact on other queries. Because the table is already partitioned by month on OrderDate, identifying the partition number for that oldest month and truncating only that partition is the correct low-impact approach, assuming the table and indexes are aligned as required for partition truncation.


Question No. 5

You have an Azure SQL database that contains a table named Rooms. Rooms was created by using the following transact-SQL statement.

You discover that some records in the Rooms table contain NULL values for the Owner field. You need to ensure that all future records have a value for the Owner field. What should you add?

Show Answer Hide Answer
Correct Answer: B

The table definition allows Owner to be nullable because it was created as Owner nvarchar(100) without NOT NULL. Since the question asks what to add so that future rows must have a value, a check constraint such as CHECK (Owner IS NOT NULL) is the appropriate choice. Microsoft documents that check constraints validate future INSERT and UPDATE operations against the constraint condition.

The other options do not solve the requirement:

A foreign key enforces referential integrity, not non-null entry by itself.

A nonclustered index does not require values to be present.

A unique constraint prevents duplicate values but still does not serve as the right mechanism here for enforcing presence across future writes. Microsoft's constraint documentation also notes that primary-key columns are implicitly NOT NULL, which helps distinguish nullability enforcement from other constraint types.


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