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Microsoft DP-800 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Implement AI capabilities in database solutions (25โ€“30%)25-30%- Integrate Azure AI services
  • 1. Integrate Azure OpenAI Service
  • 2. Integrate Azure Cognitive Search
  • 3. Implement intelligent applications with AI services
- Implement AI features
  • 1. Implement retrieval-augmented generation (RAG) patterns
  • 2. Implement vector data types and functions
  • 3. Implement semantic search
  • 4. Implement embeddings in database solutions
Topic 2: Secure, optimize, and deploy database solutions (35โ€“40%)35-40%- Optimize database performance
  • 1. Optimize query performance
  • 2. Monitor and troubleshoot performance
  • 3. Optimize database configuration
- Implement security
  • 1. Implement dynamic data masking
  • 2. Implement row-level security
  • 3. Implement authentication and authorization
  • 4. Implement data encryption
- Implement data platform resources
  • 1. Implement backup and restore strategies
  • 2. Implement disaster recovery solutions
  • 3. Implement high availability solutions
Topic 3: Design and develop database solutions (35โ€“40%)35-40%- Design and implement relational database schemas
  • 1. Design and implement tables
  • 2. Design and implement data integrity
  • 3. Design and implement indexes
- Implement data management
  • 1. Implement data compression
  • 2. Implement temporal tables
  • 3. Implement partitioning
- Design and implement programmability objects
  • 1. Design and implement views
  • 2. Design and implement user-defined functions
  • 3. Design and implement stored procedures
  • 4. Design and implement triggers

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Microsoft Developing AI-Enabled Database Solutions Sample Questions (Q44-Q49):

NEW QUESTION # 44
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 need to meet the development requirements for the FeedbackJson column.
How should you complete the Transact-SQL query? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 45
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.
Which instructions will take precedence over the others?

Answer: B

Explanation:
In a GitHub Enterprise environment, personal instructions (user-level) generally have the highest precedence for individual interactions in VS Code.
Order of Precedence
When GitHub Copilot processes instructions, it follows a "specific-to-general" hierarchy. The most specific context (the individual user) typically overrides broader organizational settings.
1. Personal Instructions
Set via .github/copilot-instructions.md in your local home directory or VS Code settings.
Overrides all other layers for your specific session.
2. Agent-Specific / Extension Instructions
Specific instructions provided to a custom agent (like @workspace or a custom Chat participant).
3. Repository-wide Instructions
Stored in the .github/copilot-instructions.md file within the specific repository.
4. Organization-wide Policies
Set by Enterprise/Org admins. These usually act as "guardrails" (e.g., blocking suggestions) rather than stylistic instructions.
Reference:
https://aiddbot.com/vscode-and-github-copilot


NEW QUESTION # 46
You need to create a solution that meets the development requirements for retrieving the patient lists.
How should you complete the Transact-SQL code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
where exists 2. where p.PatientID = pr.PatientID Otherwise we filter PatientID twice. Having in the subquery does not work without group by and the date filter does not work without where.


NEW QUESTION # 47
You have an Azure SQL database that contains a table named Customer. Customer contains the following columns:
NationalIDNumber is unique per customer.
InvestigationNotes contains free-form text.
You have a stored procedure that performs point lookups by NationalIDNumber and returns InvestigationNotes in the query results without filtering on InvestigationNotes.
You need to encrypt both columns by using Always Encrypted and the highest security possible.
Which type of Always Encrypted encryption should you use for each column?

Answer: C


NEW QUESTION # 48
You are evaluating the DAB configuration.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
The answers follow from the role-based permissions and actions defined for each entity in the DAB configuration.
1. Procedures - Yes
The Procedures entity specifies " role " : " anonymous " and " actions " : [ " read " ]. This authorizes unauthenticated applications to retrieve procedure records through the REST API.
2. Transactions - No
The Transactions entity grants the authenticated role only read and create permissions. Applications can retrieve records and insert new transactions, but they cannot update existing records because the update action is absent.
3. UpdateProcedurePatient - Yes
The UpdateProcedurePatient entity grants the authenticated role the execute action. Its REST configuration enables HTTP POST requests through /procedurepatient.
Therefore, authenticated applications are authorized to invoke the stored procedure through the configured REST endpoint.
The graphql: false setting disables GraphQL exposure but does not disable REST functionality.
Important distinction: DAB treats create, read, update, delete, and execute as separate permissions. Granting one action does not automatically grant another.
For an actual deployment, the stored procedure should also be explicitly identified using source.type: " stored- procedure " and its database object name. The answer above reflects the permissions intended by the examination scenario.
DP-800 Official Study Guide Reference
Main topic: Secure, optimize, and deploy database solutions.
Relevant topics: Data API builder configuration, REST endpoints, role-based authorization, and database object permissions.
Official references:
* Microsoft Learn - DAB Authorization Overview
* Microsoft Learn - DAB Entity Configuration


NEW QUESTION # 49
......

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