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NEW QUESTION # 36
You have an Azure SQL database that supports an AI-enabled product catalog API. The database contains a table named Sales.Orders. Sales.Orders contains 20 million rows and has a nonclustered index on a column named CreateDate. The API passes a date parameter named @OrderDate. You have a stored procedure named get_latest_day_orders that filters by running the following query: WHERE CAST(CreateDate AS date) =
@OrderDate A review of the query execution reveals that the query causes an index scan. You need to modify the predicate to ensure that Microsoft SQL Server can use an index seek on CreateDate for a single day. Which WHERE clause should you use?
Answer: A
NEW QUESTION # 37
You create an SDK-style SQL database project in Microsoft Visual Studio Code named Database.sqlproj and add the project to a GitHub repository.
You need to configure a GitHub Actions workflow to support the planned changes for DB1.
How should you complete the workflow? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
* pull_request
* build Database.sqlproj -c Release
The correct configuration is pull_request with dotnet build Database.sqlproj -c Release.
Fabrikam requires every pull request targeting production to be validated before merging, and all deployments must use the Release configuration.
Technical breakdown:
1. pull_request trigger: Executes the GitHub Actions workflow when a pull request targets the main branch.
This allows SQL project validation before changes are merged.
2. dotnet build: Compiles the SDK-style SQL database project, validates its database schema model, and produces a .dacpac deployment artifact.
3. -c Release: Explicitly selects the Release build configuration, satisfying Fabrikam ' s deployment configuration requirement.
4. Branch protection: Configure GitHub branch protection rules to make successful validation a required status check before merging. The workflow alone does not enforce this restriction.
5. Incorrect alternatives: push runs after changes are pushed, while merge is not a valid GitHub Actions event.
dotnet pack packages projects, and dotnet publish is not the appropriate SQL project validation command.
Microsoft identifies dotnet build as the supported compilation method for SDK-style SQL projects.
Completed GitHub Actions workflow
name: Validate SQL Project
on:
pull_request:
branches: [ " main " ]
jobs:
validate:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Step 1
run: dotnet build Database.sqlproj -c Release
DP-800 Official Study Guide Reference:
Main topic: Secure, optimize, and deploy database solutions.
Subtopic: Implement CI/CD by using SQL Database Projects.
Specific examination objectives:
* Create, build, and validate database models by using SQL Database Projects, including SDK-style models.
* Manage branching, pull requests, and conflict resolution.
* Design and implement controls for deployment pipelines.
NEW QUESTION # 38
You have an Azure SQL database that contains a table named dbo.SupportTickets. dbo.SupportTickets contains a JSON column named Payload and a datetime column CreatedAt.
You need to generate a report for the last seven days that meets the following requirements:
* Returns exactly one row per customer per day
* For each customer and day, returns the earliest ticket
* Includes the customer ID stored in Payload
How should you complete the Transact-SQL query? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
* CustomerId extraction # JSON_VALUE
* Ranking function # ROW_NUMBER
* Final filter # 1
The first selection is JSON_VALUE because CustomerId is stored as a scalar property in the JSON payload at
$.customer.id . Microsoft documents that JSON_VALUE extracts a scalar value from JSON text, whereas OPENJSON is used to shred JSON into relational rows/columns.
The second selection is ROW_NUMBER . The query partitions the data by:
CAST(t.CreatedAt AS date),
JSON_VALUE(t.Payload, ' $.customer.id ' )
and orders each partition by:
t.CreatedAt ASC
Microsoft documents that ROW_NUMBER() assigns sequential numbers starting at 1 within each partition .
Therefore, the earliest ticket for each customer on each day receives rn = 1 .
The third selection is therefore 1 , because filtering with:
WHERE rn = 1
returns exactly one row per customer per calendar day-the earliest ticket in that partition.
So the completed logic is:
WITH TicketRanks AS
(
SELECT
t.TicketId,
CAST(t.CreatedAt AS date) AS TicketDate,
JSON_VALUE(t.Payload, ' $.customer.id ' ) AS CustomerId,
t.CreatedAt,
ROW_NUMBER() OVER
(
PARTITION BY
CAST(t.CreatedAt AS date),
JSON_VALUE(t.Payload, ' $.customer.id ' )
ORDER BY t.CreatedAt ASC
) AS rn
FROM dbo.SupportTickets AS t
WHERE t.CreatedAt > = DATEADD(day, -7, SYSUTCDATETIME())
)
SELECT
TicketDate,
CustomerId,
TicketId,
CreatedAt
FROM TicketRanks
WHERE rn = 1
ORDER BY TicketDate, CustomerId;
Final hotspot selections:
* First dropdown: JSON_VALUE
* Second dropdown: ROW_NUMBER
* Third dropdown: 1
NEW QUESTION # 39
You have an Azure SQL database named AdventureWorksDB that contains a table named dbo.Employee.
You have a C# Azure Functions app that uses an HTTP-triggered function with an Azure SQL input binding to query dbo.Employee.
You are adding a second function that will react to row changes in dbo.Employee and write structured logs.
You need to configure AdventureWorksDB and the app to meet the following requirements:
* Changes to dbo.Employee must trigger the new function within five seconds.
* Each invocation must processes no more than 100 changes.
Which two database configurations should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: B,E
Explanation:
Azure Functions' Azure SQL trigger requires change tracking to be enabled on the source table. Microsoft' s SQL trigger documentation states that setting up change tracking for the Azure SQL trigger requires two steps : enable change tracking on the database and enable change tracking on the table being monitored.
Since the question asks specifically which database configurations you should perform, enabling change tracking on dbo.Employee is one of the required database-side steps.
To meet the latency requirement that changes trigger the function within five seconds , the relevant trigger setting is Sql_Trigger_PollingIntervalMs . Microsoft documents this setting as the delay, in milliseconds, between processing each batch of changes, and a value of 5000 means the trigger polls every 5 seconds .
A few clarifications about the other options:
* B is not the documented setting name. The documented app setting is Sql_Trigger_BatchSize or host setting MaxBatchSize , not "SetSql Trigger MaxBatchSize". The screenshot wording suggests a distractor.
* D is also required in practice for the trigger to work, but the question asks for two answers and includes the polling setting plus the table-level CT setting as the actionable choices presented.
* F is wrong because the Azure SQL trigger uses change tracking , not CDC.
NEW QUESTION # 40
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 # 41
......
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