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| Section | Objectives |
|---|---|
| Monitor, troubleshoot, and maintain solutions | - Troubleshooting data pipeline issues - Monitoring database health and performance |
| Develop and manage database solutions | - Optimize performance and scalability - Ensure security and compliance of data solutions |
| Integrate AI capabilities with database systems | - Implement AI-assisted data processing - Use Azure AI services with database workloads |
| Design and implement data solutions | - Design database solutions using Azure data services - Implement data storage and data processing solutions |
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NEW QUESTION # 59
You have an Azure SQL database named ToDo that contains a table named dbo.ToDo.
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?
Answer: C
NEW QUESTION # 60
Vou have a SQL database in Microsoft Fabric that contains a nvarchar(max) column named MessageText. An ID is always contained within the first paragraph of MessageText.
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?
Answer: D
Explanation:
Microsoft documents REGEXP_SUBSTR for Transact-SQL with the string_expression parameter as supporting character string types char, nchar, varchar, and nvarchar. For the regex functions, support for LOB types such as varchar(max) and nvarchar(max) is specifically called out for REGEXP_LIKE , REGEXP_COUNT , and REGEXP_INSTR up to 2 MB, but that support note is not listed for REGEXP_SUBSTR in the surfaced documentation. In exam terms, the safe and expected approach is to cast the nvarchar(max) column to nvarchar(4000) before calling REGEXP_SUBSTR.
This also fits the scenario detail that the ID is always contained within the first paragraph of MessageText.
Since the needed value is near the start of the text, narrowing the input to a non-LOB string type such as nvarchar(4000) is sufficient and avoids incompatibility concerns with nvarchar(max).
The other options are not appropriate:
* A STRING_ESCAPE(..., ' json ' ) is for JSON escaping, not regex extraction.
* C adding a case-sensitive collation changes comparison behavior, but it is not the required fix for REGEXP_SUBSTR on nvarchar(max).
* D TRY_CONVERT(varchar(max), ...) still leaves a MAX type and also risks unnecessary Unicode loss.
NEW QUESTION # 61
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:
SQL
ALTER TABLE dbo.Orders
DROP PARTITION SCHEME {partition_scheme_name};
Does this meet the goal?
Answer: B
NEW QUESTION # 62
Drag and Drop Question
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:
NEW QUESTION # 63
You need to design a generative AI solution that uses a Microsoft SQL Server 2025 database named DB1 as a data source. The solution must generate responses that meet the following requirements:
- Are grounded in the latest transactional and reference data stored in DB1
- Do NOT require retraining or fine-tuning the language model when the
data changes
- Can include citations or references to the source data used in the
response
Which scenario is the best use case for implementing a Retrieval Augmented Generation (RAG) pattern? More than one answer choice may achieve the goal. Select the BEST answer.
Answer: D
Explanation:
Implementing a Retrieval-Augmented Generation (RAG) pattern with Microsoft SQL Server 2025 allows you to ground generative AI responses in real-time company data without the need for model fine-tuning. This version of SQL Server functions as a native vector database, enabling seamless integration between relational data and AI-powered insights.
Incorrect:
[Not B]
Training a custom language model is not a use case for the Retrieval Augmented Generation (RAG) pattern.
In fact, the primary purpose of RAG is to provide a language model with up-to-date information without the need for training, retraining, or fine-tuning.
Reference:
https://devblogs.microsoft.com/azure-sql/sql-server-2025-embraces-vectors-setting-the- foundation-for-empowering-your-data-with-ai
NEW QUESTION # 64
......
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