BONUS!!! Download part of RealExamFree DP-800 dumps for free: https://drive.google.com/open?id=1PFdgzh-gFZ0jU57P3RkAfBFsRgmSD30w
Now you don't need to spend too much time and money preparing for the Microsoft DP-800 test. Just get the latest DP-800 exam dumps from RealExamFree and prepare the DP-800 test in a very short time. These Customer Experience (Microsoft) DP-800 updated dumps will eliminate your risk of failing and enhance your chance of success in the RealExamFree test. Using Microsoft DP-800 Exam study material you will gain the best Microsoft DP-800 exam knowledge and you will attempt the final DP-800 certification test with confidence.
| Section | Weight | Objectives |
|---|---|---|
| Secure, optimize, and deploy database solutions | 35-40% | - Secure database solutions
|
| Design and develop database solutions | 35-40% | - Design database solutions
|
| Implement AI capabilities in database solutions | 25-30% | - Integrate AI models and services
|
It is acknowledged that high-quality service after sales plays a vital role in enhancing the relationship between the company and customers. Therefore, we, as a leader in the field specializing in the {Examcode} exam material especially focus on the service after sales. In order to provide the top service after sales to our customers, our customer agents will work in twenty four hours, seven days a week. So after buying our DP-800 Study Material, if you have any doubts about the {Examcode} study guide or the examination, you can contact us by email or the Internet at any time you like. We Promise we will very happy to answer your question with more patience and enthusiasm and try our utmost to help you out of some troubles. So don’t hesitate to buy our {Examcode} test torrent, we will give you the high-quality product and professional customer services.
NEW QUESTION # 70
You need to meet the database performance requirements for maintenance data How should you complete the Transact-SQL code? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
* ON # m.maintenanceId = i.maintenanceId
* WHERE # m.LastModifiedUtc < > i.LastModifiedUtc
The correct drag-and-drop completion is:
* ON m.maintenanceId = i.maintenanceId
* WHERE m.LastModifiedUtc < > i.LastModifiedUtc
This satisfies the requirement to ensure that when a row in MaintenanceEvents changes, the corresponding LastModifiedUtc value is updated to the current system time, while also helping avoid unnecessary repeat updates.
The inserted pseudo-table in a SQL Server AFTER UPDATE trigger contains the rows that were just updated.
To update the matching row in the base table correctly, the trigger must join the target table row to the corresponding row in inserted by the table's primary key. In this schema, MaintenanceId is the primary key for MaintenanceEvents, so the correct join is m.maintenanceId = i.maintenanceId . Joining on VehicleId would be incorrect because multiple maintenance rows could exist for the same vehicle, which could update unintended rows. Microsoft's trigger documentation explains that inserted and deleted are used to work with the affected rows and that multi-row logic should be based on proper key matching.
The WHERE m.LastModifiedUtc < > i.LastModifiedUtc predicate is used to prevent the trigger from re- updating rows where the timestamp already matches the value in inserted. That reduces redundant writes and supports the requirement to avoid recursive or repeated update behavior. In practice, this means the trigger updates only rows whose current stored timestamp differs from the just-updated version. This is the exam- appropriate pattern for a self-updating timestamp column in an AFTER UPDATE trigger.
NEW QUESTION # 71
You have a SQL database in Microsoft Fabric that contains a table named dbo.Products. dbo.Products contains product catalog data.
You need to create a stored procedure that performs hybrid search. The solution must meet the following requirements:
* Use approximate nearest neighbor (ANN) to retrieve the top 20 candidate products.
* Re-rank only the candidates that also match a full-text query.
* Generate the query embedding.
How should you complete the Transact-SQL code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 72
You have an Azure SQL database that has Query Store enabled
Query Performance Insight shows that one stored procedure has the longest runtime. The procedure runs the following parameterized query.
The dbo.orders table has approximately 120 million rows. Customer-id is highly selective, and orderOate is used for range filtering and sorting.
Vou have the following indexes:
* Clustered index: PK_Orders on (Orderld)
* Nonclustered index: lx_0rders_order-Date on (OrderDate) with no included columns An actual execution plan captured from Query Store for slow runs shows the following:
* An index seek on ixordersorderDate followed by a Key Lookup (Clustered) on PKOrders for customerid, status, and TotalAnount
* A sort operator before top (50), because the results are ordered by orderDate DESC For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
The first statement is Yes . The query filters on CustomerId, applies a range predicate on OrderDate, and sorts by OrderDate DESC. Microsoft's index design guidance recommends putting equality predicates first in the key, followed by columns used for ordering/range access, because the order of key columns determines seek and sort support. A nonclustered index on (CustomerId, OrderDate DESC) can support an ordered seek for this query and avoid the explicit sort. Including Status and TotalAmount helps cover the query, and OrderId is already available because the clustered key is stored with nonclustered index rows.
The second statement is No . Adding CustomerId as an included column to IX_Orders_OrderDate does not make it part of the index's navigational structure. Microsoft states that included columns are nonkey columns used to cover queries; they do not provide the seek and ordering characteristics that key columns do. So an index keyed only on OrderDate still is not the right ordered access path for WHERE CustomerId =
@CustomerId ... ORDER BY OrderDate DESC.
The third statement is Yes . The described actual plan shows an index seek on the wrong access path for the workload, followed by clustered key lookups and an explicit sort before TOP (50). That is characteristic of a suboptimal query/index plan . Query Store and Query Performance Insight are designed to surface plan- related performance regressions, while locking/blocking problems are typically identified through waits
/DMVs and blocking-session indicators, not from a plan shape like seek + lookup + sort alone.
NEW QUESTION # 73
You have an Azure SQL database that contains the following tables and columns.
Embeddings in the NotesEnbeddings and DescriptionEabeddings tables have been generated from values in the Description and notes columns of the Articles table by using different chunk sizes.
You need to perform approximate nearest neighbor (ANN) queries across both embedding tables. The solution must minimize the impact of using different chunk sizes.
What should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
The correct function is VECTOR_SEARCH because the requirement is to perform approximate nearest neighbor (ANN) queries. Microsoft's SQL documentation states that VECTOR_SEARCH is the function used for vector similarity search, and that an ANN index is used only with VECTOR_SEARCH when a compatible vector index exists on the target column. By contrast, VECTOR_DISTANCE calculates an exact distance and does not use a vector index for ANN retrieval.
The correct distance metric is cosine distance. Microsoft documents that VECTOR_SEARCH supports cosine, dot, and euclidean metrics, and Microsoft guidance specifically notes that cosine similarity is commonly used for text embeddings. It also states that retrieval of the most similar texts to a given text typically functions better with cosine similarity, and that Azure OpenAI embeddings rely on cosine similarity to compute similarity between a query and documents. Since both NotesEmbeddings and DescriptionEmbeddings are text-derived embeddings and the goal is to minimize the impact of different chunk sizes, cosine is the best choice because it compares direction/angle rather than being as sensitive to vector magnitude as Euclidean distance.
NEW QUESTION # 74
You have an Azure SQL database that contains a table named dbo.orders, dbo.orders contains a column named createDate that stores order creation dates.
You need to create a stored procedure that filters Orders by CreateDate for a single calendar day. The solution must be SARGable.
How should you complete the Transact-SQL code? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
The correct SARGable pattern for filtering a single calendar day is to use a half-open date range :
o.CreateDate > = @StartDate
AND o.CreateDate < @EndDate
with:
SET @EndDate = DATEADD(day, 1, @StartDate)
This is the correct design because it keeps the function off the column and applies it only to the parameter.
That allows SQL Server and Azure SQL to use an index on CreateDate efficiently, which is the key requirement for a SARGable predicate. Microsoft documents DATEADD as the standard function for adding one day to a date value, which makes it the right way to derive the exclusive upper boundary for the next day.
The incorrect choices are the ones that wrap CreateDate in CONVERT(...), because expressions like:
CONVERT(char(10), CreateDate, 121) = ...
make the predicate non-SARGable and typically prevent efficient seeks on an index over CreateDate.
So the completed procedure is:
CREATE PROCEDURE dbo.usp_SearchOrders
@StartDate date
AS
BEGIN
SET NOCOUNT ON;
DECLARE @EndDate date;
SET @EndDate = DATEADD(day, 1, @StartDate);
SELECT o.CreateDate,
o.OrderId,
o.ShipDate
FROM dbo.Orders AS o
WHERE o.CreateDate > = @StartDate
AND o.CreateDate < @EndDate;
END;
NEW QUESTION # 75
......
Leave yourself some spare time to study and think. Perhaps you will regain courage and confidence through a period of learning our DP-800 preparation quiz. If you want to have a try, we have free demos of our DP-800 exam questions to help you know about our products. And there are three versions of the free demos according to the three different versions of the DP-800 study braindumps: the PDF, the Software and the APP online. Just try and you will love them.
Reliable DP-800 Test Dumps: https://www.realexamfree.com/DP-800-real-exam-dumps.html
2026 Latest RealExamFree DP-800 PDF Dumps and DP-800 Exam Engine Free Share: https://drive.google.com/open?id=1PFdgzh-gFZ0jU57P3RkAfBFsRgmSD30w