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NEW QUESTION # 60
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 number for the oldest month, and then run the following Transact-SQL statement.
TRUNCATE TABIE dbo.Orders
WITH (PARTITIONS (partition number));
Does this meet the goal?
Answer: A
Explanation:
Yes, this meets the goal. Microsoft documents that on a partitioned table , you can use TRUNCATE TABLE ... WITH (PARTITIONS (...)) to remove data from a specific partition, and that this is an efficient maintenance operation that targets only that data subset rather than the whole table. Microsoft's partitioning guidance explicitly lists truncating a single partition as an example of a fast partition-level maintenance or retention operation.
That matches the requirement to remove the oldest month while minimizing impact on other queries.
Because the table is already partitioned by month on OrderDate , identifying the partition number for that oldest month and truncating only that partition is the correct low-impact approach, assuming the table and indexes are aligned as required for partition truncation.
NEW QUESTION # 61
You need to design a generative Al solution that uses a Microsoft SOL Server 2025 database named DB1 as a data source. The solution must generate responses that meet the following requirements:
* Ait ' grounded In the latest transactional and reference data stored in D61
* 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:
The best use case for RAG is answering user questions based on company-specific knowledge . Microsoft defines RAG as a pattern that augments a language model with a retrieval system that provides grounding data at inference time, which is exactly what you need when responses must be based on the latest transactional and reference data , must avoid retraining/fine-tuning , and should be able to include citations or references to source data.
The other options do not fit as well:
* summarizing free-form user input does not inherently require retrieval from DB1,
* training a custom model contradicts the requirement to avoid retraining/fine-tuning,
* generating marketing slogans is a creative generation task, not a grounding-and-citation scenario. RAG is specifically strong when answers must come from your organization's own changing knowledge.
NEW QUESTION # 62
Hotspot Question
You have an Azure SQL database named ProductsDB.
You deploy Data API builder (DAB) to Azure Container Apps.
You discover that the container app cannot connect to ProductsDB.
Your development team reports that the container app is unreachable from the internet for integration tests.
You need to update Azure SQL Database and Container Apps to meet the following requirements:
- Ensure that the Azure SQL logical server allows connections from
Azure services.
- Ensure that the Container Apps environment accepts inbound requests
from the public internet.
What should you configure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 63
Your team is developing an Azure SQL database solution from a locally cloned GitHub repository by using Microsoft Visual Studio Code and GitHub Copilot Chat.
You need to ensure that GitHub Copilot Chat uses the team's coding standards when generating Transact-SQL code in Visual Studio Code.
What should you use?
Answer: D
Explanation:
o ensure GitHub Copilot Chat adheres to your team's specific Transact-SQL (T-SQL) standards while deploying an Azure SQL database from VS Code, you should focus on Custom Instructions and Workspace Context.
Required Setup
Create a .github/copilot-instructions.md File
This is the most effective way to enforce standards.
Create this file in the root of your repository.
Copilot automatically reads this file to understand project-specific rules.
Include sections for:
Naming conventions (e.g., PascalCase for tables, proc_ prefix for stored procedures).
Formatting rules (e.g., keywords in UPPERCASE, use of 4 spaces).
Security practices (e.g., always use schema prefixes, avoid SELECT *).
Reference:
https://nikolay-dev.medium.com/master-web-development-with-github-spark-ai-b0b874525418
NEW QUESTION # 64
You have an Azure container app named app1-contoso-001 that hosts a Data API builder (DAB) container in front of an Azure SQL database.
You add an entity named Todo that uses a source named dbo.todos.
Which URL pattern should clients use to access the Todo REST endpoint?
Answer: C
Explanation:
The correct answer is B because Data API builder exposes REST entities by default using the URL pattern:
https://{base_url}/api/{entity}
Microsoft's current DAB documentation states exactly that the default REST endpoint pattern is /api/{entity}
. For an entity named Todo , the REST route is therefore /api/Todo .
The other options are incorrect:
* A uses a GraphQL-style route and is not the REST endpoint.
* C uses /data-api/Todo , which is not the default REST path for a directly hosted DAB runtime.
* D adds an unnecessary /data-api prefix before /api/Todo .
Microsoft also shows examples such as:
GET https://localhost:5001/api/book
and documents collection reads as:
GET /api/{entity} .
So for the entity configuration:
* Entity name: Todo
* Source: dbo.todos
the REST endpoint path is:
/api/Todo
Therefore, among the supplied choices, Option B is the correct answer.
NEW QUESTION # 65
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