많은 시간과 돈이 필요 없습니다. 30분이란 특별학습가이드로 여러분은Microsoft DP-800인증시험을 한번에 통과할 수 있습니다, ITDumpsKR에서Microsoft DP-800시험자료의 문제와 답이 실제시험의 문제와 답과 아주 비슷한 덤프만 제공합니다.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design and develop database solutions | 35-40% | - Design database solutions
|
| Topic 2: Implement AI capabilities in database solutions | 25-30% | - Use AI-assisted development tools
|
| Topic 3: Secure, optimize, and deploy database solutions | 35-40% | - Secure database solutions
|
Microsoft인증 DP-800시험은 빨리 패스해야 되는데 어디서부터 어떻게 시험준비를 시작해야 하는지 갈피를 잡을수 없는 분들은ITDumpsKR가 도와드립니다. ITDumpsKR의 Microsoft인증 DP-800덤프만 공부하면 시험패스에 자신이 생겨 불안한 상태에서 벗어날수 있습니다.덤프는 시장에서 가장 최신버전이기에 최신 시험문제의 모든 시험범위와 시험유형을 커버하여Microsoft인증 DP-800시험을 쉽게 패스하여 자격증을 취득하여 찬란한 미래에 더 가깝도록 도와드립니다.
질문 # 65
Case Study 1 - Contoso
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.
The FeedbackJsoncolumn has a full-text index and stores JSON documents in the following format.
The support staff at Contoso never has the UNMASKpermission.
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.
You review the execution plan and discover that the plan shows a clustered index scan.
VehicleIncidentReportsoften 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 accuracyJSON 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 MaintenanceEventstable updates the corresponding value in the LastModifiedUtccolumn 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 FeedbackJsoncolumn of the CustomerFeedbacktable:
* 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.
Hotspot Question
You are creating a table that will store customer profiles.
You have the following Transact-SQL code.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
정답：
설명：
질문 # 66
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 # 67
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?
정답：C
설명：
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.
질문 # 68
Drag and Drop Question
You have an Azure SQL database named DB1 that contains two tables named knowledge_base and query_cache. knowledge_base contains support articles and embeddings. query_cache contains chat questions, responses, and embeddings. DB1 supports an AI-enabled chat agent.
You need to design a solution that meets the following requirements:
- Serializes the retrieved rows from knowledge_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_invoke_external_rest_endpoint stored procedure.
Which Transact-SQL commands should you use for each requirement? To answer, drag the appropriate commands to the correct requirements. Each command 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 # 69
You have an SDK-style SQL database project stored in a Git repository. The project targets an Azure SQL database.
The CI build fails with unresolved reference errors when the project references system objects.
You need to update the SQL database project to ensure that dotnet build validates successfully by including the correct system objects in the database model for Azure SQL Database.
Solution: Add the Microsoft.SqlServer.Dacpacs.Azure.Master NuGet package to the project.
Does this meet the goal?
정답：B
설명：
This does meet the goal. Microsoft documents that SDK-style SQL projects can add the master.dacpac database reference as a package reference , and for Azure SQL Database the correct package is the Azure- specific master DACPAC package. The Azure SQL system DACPACs are available through NuGet, and this is the recommended way to include the right system objects in the database model for dotnet build validation.
So for an SDK-style SQL database project that targets Azure SQL Database, adding Microsoft.SqlServer.
Dacpacs.Azure.Master is the correct fix for unresolved references to system objects.
질문 # 70
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