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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement AI capabilities in database solutions (25–30%) | 25-30% | - Integrate Azure AI services
|
| Topic 2: Design and develop database solutions (35–40%) | 35-40% | - Design and implement relational database schemas
|
| Topic 3: Secure, optimize, and deploy database solutions (35–40%) | 35-40% | - Implement data platform resources
|
現在の社会的背景と開発の見通しに基づいて、DP-800認定は徐々に職場で最も際立つための前提条件として受け入れられています。 DP-800試験資料は、夢をかなえるための試験ツールとしてご利用いただけます。 10年以上の努力により、DP-800実践教材は業界で最も信頼性の高い製品になりました。 DP-800試験問題には多くの利点があり、時間をかけて知ることができます。
質問 # 88
Hotspot Question
You have a Microsoft Fabric workspace named Workspace1 that contains a SQL database named SalesDB and an API for GraphQL item named SalesApi.
You have a Microsoft Entra group named SqlUsers.
From Workspace1, you assign permission to SalesApi as shown in the following exhibit.
The connection to SalesDB has the connectivity option configured as shown in the following exhibit.
SqlUsers has the Viewer role for Workspace1.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
正解：
解説：
質問 # 89
Case Study 2 - Fabrikam
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.
DAB
You create a DAB configuration file that meets the development requirements for DB1 and includes the following entities.
You plan to implement changes to sp_UpdateProcedureForPatient to meet the performance requirements.
You change the stored procedure to run all its code within a transaction.
Which transaction level should you use?
正解：B
解説：
Scenario: Database Performance Requirements
Records accessed by using sp_UpdateProcedureForPatient must NOT be changed by other transactions while the stored procedure runs.
To prevent other transactions from changing records while your stored procedure runs, you should use the Repeatable Read isolation level.
Repeatable ReadMechanism: Places shared locks on all data read by the query.
Prevention: Prevents other transactions from modifying or deleting the rows you have accessed.
Consistency: Ensures that if you read the same data twice within the procedure, the values remain identical.
Incorrect:
[Not C]
Serializable
Strictness: This is the highest level of isolation.
Phantom Protection: In addition to preventing changes to existing records, it prevents other transactions from inserting new records that would fall into the range of your query (phantom reads).
Usage: Use this if your procedure relies on aggregate counts or specific ranges that must remain absolutely static.
Key Considerations
Concurrency: Both levels reduce system performance because they hold locks longer, potentially causing other users to wait.
Deadlocks: Higher isolation levels increase the risk of deadlocks in busy databases.
Reference:
https://learn.microsoft.com/en-us/sql/connect/jdbc/understanding-isolation-levels
質問 # 90
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?
正解：C
解説：
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());
質問 # 91
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) = @0rderDate.
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?
正解：A
解説：
To achieve an Index Seek on your CreateDate column, you must remove the CAST function from the column side of the equation. Wrapping a column in a function makes the expression non- SARGable (Searchable Argument), forcing SQL Server to scan the entire index rather than jumping to a specific range.
The Recommended WHERE Clause
To capture all rows for a single day while remaining SARGable, use a range comparison:
WHERE CreateDate >= @OrderDate
AND CreateDate < DATEADD(day, 1, @OrderDate)
Why This Works
Eliminates Functions on Columns: By keeping CreateDate "naked," the query optimizer can use the nonclustered index to find the exact starting point.
Handles Time Components: Since CreatedDate likely contains time data (DATETIME or DATETIME2), this logic captures everything from 00:00:00.000 up to (but not including) midnight of the following day.
Single Day Precision: It creates a "half-open" interval that is the standard best practice for date filtering in SQL Server.
Reference:
https://medium.com/@c.charalambos1998/how-to-design-indexes-in-sql-server-for-faster-query- performance-4a2279a9b512
質問 # 92
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
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.
ALTER TABLE dbo.Orders
DROP PARTITION SCHEME (partition_scheme_name);
Does this meet the goal?
正解：B
解説：
Correct:
* Identify the partition number for the oldest month, and then run the following Transact-SQL statement.
TRUNCATE TABLE dbo.Orders
WITH (PARTITIONS (partition number));
The best Transact-SQL statement to remove all rows for the oldest month while minimizing the impact on other queries is TRUNCATE TABLE with a WITH (PARTITIONS (...)) clause.
Why TRUNCATE TABLE ... WITH (PARTITIONS (...)) is Best
Efficiency: TRUNCATE TABLE is a Data Definition Language (DDL) operation that removes data by deallocating the data pages, which is a metadata operation and is very fast, regardless of the amount of data in the partition.
Minimal Logging: It uses less transaction log space compared to a DELETE statement, which logs each row deletion individually.
Low Impact on Concurrency: It performs a quick, partition-specific operation. A row-by-row DELETE would be a long-running transaction and could cause locking and blocking issues for other queries accessing the table.
Data Integrity: Because the table has a clustered index and is partitioned by the same column (aligned indexes), the TRUNCATE PARTITION operation is a fast, partition-level maintenance operation that targets only that specific data subset.
Incorrect:
* : Identify the partition scheme for the oldest month, and then run the following Transact-SQL statement.
ALTER TABLE dbo.Orders
DROP PARTITION SCHEME (partition_scheme_name);
The DROP PARTITION SCHEME statement removes the partition scheme object from the database but does not remove the data itself or free up the space, and it requires all tables to be moved off the scheme first, which is a complex operation. This does not meet the goal of removing the data efficiently.
* Run the following Transact-SQL statement.
DELETE FROM dbo.Orders
WHERE OrderDate < DATEADD(month, -36, SYSUTCDATETIME());
A standard DELETE statement, even with a WHERE clause that uses the partition column, can be a time-consuming, logged operation that causes locking and blocking on the main table, negatively impacting performance.
Reference:
https://stackoverflow.com/questions/63632963/truncate-partition-vs-drop-partition-performace- wise-which-one-is-efficient-an
質問 # 93
......
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