DP-800

Case Study

This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.

To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.

At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.

To start the case study

To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.

Existing Environment

Azure Environment

Contoso has an Azure subscription in North Europe that contains the corporate infrastructure. The current infrastructure contains a Microsoft SQL Server 2017 database. The database contains the following tables.

（含图）

The FeedbackJson column has a full-text index and stores JSON documents in the following format.

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The support staff at Contoso never has the UNMASK permission.

Problem Statements

Contoso is deploying a new Azure SQL database that will become the authoritative data store for the following:

AI workloads

Vector search

Modernized API access

Retrieval Augmented Generation (RAG) pipelines

Sometimes the ingestion pipeline fails due to malformed JSON and duplicate payloads. The engineers at Contoso report that the following dashboard query runs slowly.

（含图）

You review the execution plan and discover that the plan shows a clustered index scan. VehicleIncidentReports often contains details about the weather, traffic conditions, and location. Analysts report that it is difficult to find similar incidents based on these details.

Requirements

Planned Changes

Contoso wants to modernize Fleet Intelligence Platform to support AI-powered semantic search over incident reports.

Security Requirements

Contoso identifies the following security requirements:

Restrict the support staff from viewing Personally Identifiable Information (PII) data, which is full email addresses and phone numbers.

Enforce row-level filtering so that analysts see only incidents for the fleets to which they are assigned. The analysts can be assigned to multiple fleets.

Database Performance and Requirements

Contoso identifies the following telemetry requirements:

Telemetry data must be stored in a partitioned table.

Telemetry data must provide predictable performance for ingestion and retention operations. latitude, longitude, and accuracy JSON properties must be filtered by using an index seek.

Contoso identifies the following maintenance data requirements:

Ensure that any changes to a row in the MaintenanceEvents table updates the corresponding value in the LastModifiedUtc column to the time of the change.

Avoid recursive updates.

AI Search, Embeddings, and Vector Indexing

Contoso plans to implement semantic search over incident data to meet the following requirements:

Embeddings must be stored in dedicated Azure SQL Database tables.

Embeddings must be generated from rich natural language fields.

Chunking must preserve semantic coherence.

Hybrid search must combine the following:

- Vector similarity

- Keyword filtering or boosting

Development Requirements

The development team at Contoso will use Microsoft Visual Studio Code and GitHub Copilot and will retrieve live metadata from the databases.

Contoso identifies the following requirements for querying data in the FeedbackJson column of the CustomerFeedback table:

Extract the customer feedback text from the JSON document.

Filter rows where the JSON text contains a keyword.

Calculate a fuzzy similarity score between the feedback text and a known issue description. Order the results by similarity score, with the highest score first.

QUESTION 1

HOTSPOT

You need to meet the development requirements for the FeedbackJson column.

How should you complete the Transact-SQL query? To answer, select the appropriate options in the answer area.

SELECT

f. FeedbackId,

f. Vehicleld,

（）

EDIT_DISTANCE_SIMILARITY

JSON_VALUE(f.FeedbackJson, "S.text"),

@KnownIssueDescription

) AS Similarityscore

FROM

dbo. CustomerFeedback f

WHERE

（）

ORDER BY

（）

DESC;

Case Study

This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.

To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.

At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.

To start the case study

To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.

Existing Environment

Azure Environment

Fabrikam has a single Azure subscription in the East US 2 Azure region. The subscription contains an Azure SQL database named DB1. DB1 contains the following tables:

Patients

Employees

Procedures

Transactions

UsefulPrompts

ProcedureDocuments

You store a column master key as a secret in Azure Key Vault.

You have an on-premises application named TransactionProcessing that uses a hard-coded username

and password in a connection string to access DB1.

Problem Statements

Users report that after executing a long-running stored procedure named sp_UpdateProcedureForPatient, updates to the underlying data are sometimes inconsistent.

Requirements

Planned Changes

Fabrikam plans to manage all changes to Azure SQL Database objects by using source control in GitHub. Every pull request submitted to production will be validated before it can be merged. Deployments must use the Release configuration.

Security Requirements

Fabrikam identifies the following security requirements:

The TransactionProcessing application must use a passwordless connection to DB1.

The Employees table contains two columns named TaxID and Salary that must be encrypted at

rest.

Auditors must have a tamper-evident history of transactions with cryptographic proof of changes to the employee data.

Database Performance Requirements

Records accessed by using sp_UpdateProcedureForPatient must NOT be changed by other transactions while the stored procedure runs.

AI Search, Embeddings, and Vector Indexing

Fabrikam identifies the following AI-related requirements:

Queries to the ProcedureDocuments table must use Reciprocal Rank Fusion (RRF).

Users must be able to query the data in DB1 by using prompts in Copilot in Microsoft Fabric.

The UsefulPrompts table will store prompts that doctors can use to help diagnose patient illness by

connecting to an Azure OpenAI endpoint.

Development Requirements

Fabrikam identifies the following development requirements:

Provide the functionality to retrieve all the transactions of a given patient between two dates, showing a running total.

Expose a Data API builder (DAB) configuration file to enable Azure services to perform the following operations over a REST API:

- Read data from the procedures table without authentication.

- Read and insert data into the Transactions table once authenticated.

- Execute the sp_UpdateProcedurePatient stored procedure.

Provide the functionality to retrieve a list of the names of patients who underwent medical procedures during the last 30 days.

Information for each medical procedure will be stored in a table. The table will be used with a large language model (LLM) for user querying and will have the following structure.

（含图）

DAB

You create a DAB configuration file that meets the development requirements for DB1 and includes the following entities.

（含图）

QUESTION 1

HOTSPOT

You need to create a solution that meets the development requirements for retrieving the patient lists. 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.

CREATE PROCEDURE dbo.GetActivePatients

AS

BEGIN

SET NOCOUNT ON;

SELECT p. Name

FROM dbo. Patients AS p

（）

SELECT PatientId

FROM dbo.Procedures AS pr

（）

AND pr.TransactionDate >= DATEADD(DAY, -30, SYSUTDATETIME ())

) ;

END

QUESTION 1

DRAG DROP

You have an Azure SQL database that contains a table named dbo.Orders.

You have an application that calls a stored procedure named dbo.usp_CreateOrder to insert rows into dbo.Orders.

When an insert fails, the application receives inconsistent error details.

You need to implement error handling to ensure that any failures inside the procedure abort the transaction and return a consistent error to the caller.

How should you complete the stored procedure? 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.

CREATE OR ALTER PROCEDURE dbo.usp_Createorder

@Customerid int,

@Asount decimal (10,2), gorderld int OUTPUT

AS

BEGIN

SET NOCOUNT ON;

BEGIN TRY

BEGIN TRANSACTION;

INSERT INTO dbo.Orders(Customerid, Amount, Createdat)

VALUES (@customerId, @Amount, SYSUTDATETIME ()):

(_________________);

COMMIT TRANSACTION;

END TRY

BEGIN CATCH

(_________________);

THROW;

END CATCH

END

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

What should you do?

A NODE table named dbo.Person

An EDGE table named dbo.Knows

Each row in dbo.Person contains the following columns:

PersonID (int)

DisplayName (nvarchar(100))

You need to use a MATCH operator and exactly two directed Knows relationships to return the PersonID and DisplayName of people that are reachable from the person identified by an input parameter named 

@StartPersonId.

Which Transact-SQL query should you use?

customer data in JSON documents that have the following format.

（含图）

Data analysis shows that some customers have subaddressing in their email address, for example, user1 +promo@contoso.com.

You need to return a normalized email value that removes the subaddressing, for example, user1 +promo@contoso.com must be normalized to user1@contoso.com.

Which Transact-SQL expression should you use?

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.

CREATE PROCEDURE dbo. usp_Searchorders

@startDate date

AS

BEGIN

SET NOCOUNT ON;

DECLARE @Endate date;

SET @Endbate - （________________）

SELECT o.Createdate,

o. OrderId,

o. ShipDate

FROM dbo.Orders AS o

WHERE o. Createdate ›-（________________）

AND o. CreateDate < （________________）

END;

GO

You need to create a scalar user-defined function (UDF) that returns the number of whole years between an input parameter named @OrderDate and the current date/time as a single positive integer. The

function must be created in Azure SQL Database.

You write the following code.

（含图）

What should you insert at line 05?

You deploy Data API builder (DAB) to Azure Container Apps by using the mcr.microsoft.com/azure-databases/data-api-builder:latest image.

You have the following Container Apps secrets:

MSSQL_CONNECTION_STRING that maps to the SQL connection string

DAB_CONFIG_BASE64 that maps to the DAB configuration

You need to initialize the DAB configuration to read the SQL connection string.

Which command should you run?

You need to write a Transact-SQL query that uses REGEXP_SUBSTR to extract the ID from MessageText.

What should you include in the query?

You need to prevent ddl_Audit from firing during the next deployment. The trigger object must remain in place.

Which Transact-SQL statement should you use?

You need to ensure that any Transact-SQL queries that run from GitHub Copilot Chat in SSMS are restricted by the same permissions as the developer’s database login.

What prevents the GitHub Copilot Chat-run queries from accessing data beyond the developer’s access?

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 process 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.

MessageRaw can contain a phone number in multiple formats, and some rows do NOT contain a phone number.

You need to write a single SELECT query that meets the following requirements:

The query must return MessageID, RawNumber, DigitsOnly, and PhoneStatus.

RawNumber must contain the first substring that matches a phone-number pattern, or NULL if no match exists.

DigitsOnly must remove all non-digit characters from RawNumber, or return NULL.

PhoneStatus must return valid when a phone number exists in MessageRaw, otherwise return Missing.

How should you complete the Transact-SQL query? 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.

SELECT

MessageID,

(______) MessageRaw, '\d{3}[)\-\s]*\d{3}[\-\s]*\d{4}' ) AS RawNumber,

(______) MessageRaw, '\d{3}[)\-\s]*\d{3}[\-\s]*\d{4}' ), '\D', '') AS DigitsOnly,

CASE

WHEN (______) MessageRaw, '\d{3}[)\-\s]*\d{3}[\-\s]*\d{4}') = 1

THEN 'Valid'

ELSE 'Missing'

END AS PhoneStatus

FROM dbo.CustomerMessages;

following Transact-SQL statement.

（含图）

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?

You have a daily report that filters by the $$.severity JSON property and returns LogId, LogDateTime, and log. The report frequently causes full table scans.

You need to modify WebSite.Logs to support efficient filtering by $$.severity and avoid key lookups for the columns returned by the report.

How should you complete the Transact-SQL code to avoid full table scans? 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.

ALTER TABLE WebSite. Logs

ADD severity (___________)

GO

CREATE INDEX ix_severity

ON Website.Logs(severity)

(___________)

GO

Your company plans to develop an Azure Functions app to run whenever the rows in dbo.ToDo change. The app will process INSERT, UPDATE, and DELETE events by using the Azure SQL trigger binding.

You need to configure ToDo to support the planned app.

What should you do?

CustomerId (int)(primary key)

ProfileJson (nvarchar(max))

You have an application that returns phone numbers in a format of +000 000-000-0000. The phone numbers are stored in ProfileJson.

You need to write a query that returns:

One row per customer

A PhoneNUmerals column that contains only the digits

How should you complete the Transact-SQL query? 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.

WITH PhoneCTE AS

SELECT DISTINCT

C. CustomerId,

(_________________) AS PhoneRaw

FROM dbo. Customers AS C

)

SELECT

p. CustomerId,

(_________________) AS PhoneNUmerals

FROM PhoneCTE AS P

WHERE (_________________) IS NOT NULL;

dbo.Orders receives continuous OLTP inserts and updates during business hours.

Your analytics team runs hourly aggregate queries that scan dbo.Orders to calculate revenue trends for recent dates.

You need to improve the performance of the hourly analytics queries without significantly affecting OLTP throughput. The solution must meet the following requirements:

Support near-real-time (NRT) analytics on the dbo.Orders table.

Reduce read time when retrieving analytical data from dbo.Orders.

Support indexing only rows that match a predicate, such as Active = 1.

Which type of index should you use for each requirement? To answer, drag the appropriate index types to the correct requirements. Each index type 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.

Support NRT analytics on dbo.Orders: ________________

Reduce read time when retrieving analytical data: ________________

Index only rows that match a predicate: ________________

A clustered columnstore index

A clustered rowstore index ordered by key columns

A filtered nonclustered index with a WHERE predicate

A nonclustered columnstore index on an existing rowstore table

Sales is 10 TB and is loaded nightly by using a batch process. Most reporting queries scan large portions of Sales, filter on SalesDate or ProductKey, and use SUM() to aggregate TotalSale.

Products is relatively small and is used primarily for point lookups and joins to Sales.

You need to recommend which indexes to create to optimize the reporting queries. The solution must minimize storage requirements.

Which type of index should you recommend for each table? To answer, drag the appropriate index types to the correct tables. Each index type 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.

Sales:

Products: