Microsoft DP-800인증시험은 현재IT인사들 중 아주 인기 잇는 인증시험입니다.Microsoft DP-800시험패스는 여러분의 하시는 일과 생활에서 많은 도움을 줄뿐만 아니라 중요한 건 여러분의IT업계에서의 자기만의 자리를 지키실 수 잇습니다.이렇게 좋은 시험이니 많은 분들이 응시하려고 합니다,하지만 패스 율은 아주 낮습니다.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Secure, optimize, and deploy database solutions | 35-40% | - Deploy and maintain solutions
|
| Topic 2: Design and develop database solutions | 35-40% | - Develop database solutions
|
| Topic 3: Implement AI capabilities in database solutions | 25-30% | - Integrate AI models and services
|
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질문 # 30
You have an Azure SQL database named DB1 that contains two tables named knowledgebase and query_cache. knowledge_base contains support articles and embeddings. query_cache contains chat questions, responses, and embeddings DB1 supports an Al-enabled chat agent.
You need to design a solution that meets the following requirements:
* Serializes the retrieved rows from knowledee_base
* Extracts the answer field from the response
* Extracts the embeddings to store in query_cache
You will call the external large language model (LLM) by using the sp_irwoke_external_re standpoint stored procedure.
Which Transact-SGL commands should you use for each requirement? To answer, drag the appropriate commands to the correct requirements. Each command may be used once, mote 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.
정답：
설명：
Explanation:
The correct mapping is:
FOR JSON PATH
JSON_VALUE
JSON_QUERY
To serialize the retrieved rows from knowledge_base, the correct command is FOR JSON PATH. Microsoft documents that FOR JSON formats query results as JSON, and PATH mode is the standard way to shape relational rows into JSON for downstream application or AI use.
To extract the answer field from the response, the correct command is JSON_VALUE because answer is a single scalar field. Microsoft states that JSON_VALUE is used to extract a scalar value from JSON text.
To extract the embeddings to store in query_cache, the correct command is JSON_QUERY because embeddings are returned as a JSON array, not a scalar. Microsoft states that JSON_QUERY extracts an object or array from JSON text, which is exactly the right behavior for an embeddings payload.
The unused options are not the best fit here:
OPENJSON is mainly for shredding JSON into rows and columns.
AI_GENERATE_CHUNKS is for chunking text, not extracting fields from a response payload.
VECTOR_DISTANCE computes similarity between vectors and is unrelated to JSON extraction.
FOR XML PATH produces XML, not JSON.
질문 # 31
You have an Azure SQL database that contains a table named Rooms. Rooms was created by using the following transact-SQL statement.
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?
정답：D
설명：
The table definition allows Owner to be nullable because it was created as Owner nvarchar(100) without NOT NULL. Since the question asks what to add so that future rows must have a value, a check constraint such as CHECK (Owner IS NOT NULL) is the appropriate choice. Microsoft documents that check constraints validate future INSERT and UPDATE operations against the constraint condition.
The other options do not solve the requirement:
* A foreign key enforces referential integrity, not non-null entry by itself.
* A nonclustered index does not require values to be present.
* A unique constraint prevents duplicate values but still does not serve as the right mechanism here for enforcing presence across future writes. Microsoft's constraint documentation also notes that primary- key columns are implicitly NOT NULL, which helps distinguish nullability enforcement from other constraint types.
질문 # 32
Drag and Drop Question
You have an Azure SQL database named SalesDB that has Query Store enabled. SalesDB supports an AI-driven product search API.
Users report that the latency of the API increased immediately after the API was deployed and remains high.
You need to identify whether the latency increase was caused by an execution plan regression and, if so, decide which corrective action will restore a previous plan. The solution must prevent any changes to the API code.
What should you use? To answer, drag the appropriate tools to the correct step. Each tool 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.
정답：
설명：
질문 # 33
You have an Azure SQL database that contains the following SQL graph tables:
* 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 HATCH 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?
정답：A
설명：
The correct query is Option D because it starts from the input person and uses exactly two directed Knows edges in a single MATCH pattern:
MATCH(p1-(k1)- > p2-(k2)- > p3)
Microsoft documents that SQL Graph uses the MATCH predicate in the WHERE clause to express graph traversal patterns over node and edge tables, and directed relationships are written with arrow syntax such as node1-(edge)- > node2.
Why D is correct:
* It anchors the starting node with p1.PersonId = @StartPersonId.
* It traverses two directed hops : p1 - > p2 - > p3.
* It returns p3.PersonId, p3.DisplayName, which are the people reachable in exactly two Knows relationships.
Why the others are wrong:
* A filters on DisplayName = DisplayName, which is unrelated to the required input parameter and does not correctly anchor the start node.
* B reverses the traversal direction in the pattern.
* C uses two separate MATCH predicates instead of the required single two-hop directed pattern. The proper graph pattern syntax supports chaining the hops directly in one MATCH expression.
질문 # 34
You have a GitHub Enterprise subscription.
Your team is developing an Azure SQL dataset solution from a locally cloned GitHub repository by using Microsoft Visual Studio Code and GitHub Copilot Chat.
A mix of GitHub Copilot instructions is configured at different levels, including organization-wide, repository- wide, agent-specific, and personal.
Based on the GitHub Copilot instruction precedence rules, which instructions will take precedence over the others?
정답：D
질문 # 35
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