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Exam Code: DP-800

Exam Name: Developing AI-Enabled Database Solutions

Certification Provider: Microsoft

Corresponding Certification: Microsoft Certified: SQL AI Developer Associate

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Microsoft DP-800 Practice Test 30

Question 290

A Copilot chat tool retrieves schema objects from a Fabric lakehouse through a configured MCP connection. Which verification finding is most specific to this scenario?

  1. Eligible users can invoke the approved experience while policy restrictions remain enforced.
  2. Sample generated changes follow the stated conventions and require human validation before merge.
  3. The tool can retrieve allowed schema metadata but cannot modify or expose unrelated assets.
  4. Consumers query current source rows through the same named projection.

Explanation

Correct Answer

C:

Fabric MCP tooling is a controlled integration boundary, not blanket cross-workspace authorization. The observation “The tool can retrieve allowed schema metadata but cannot modify or expose unrelated assets” directly confirms the chosen action worked for this situation: A Copilot chat tool retrieves schema objects from a Fabric lakehouse through a configured MCP connection.

Incorrect Answers

A:

Copilot availability depends on supported platform settings and entitlements, not only local IDE configuration. This observation would not establish that the required result occurred for A Copilot chat tool retrieves schema objects from a Fabric lakehouse through a configured MCP connection. The confirming test is: The tool can retrieve allowed schema metadata but cannot modify or expose unrelated assets.

B:

Copilot instruction files guide generated suggestions but do not enforce database permissions or accuracy. This observation would not establish that the required result occurred for A Copilot chat tool retrieves schema objects from a Fabric lakehouse through a configured MCP connection. The confirming test is: The tool can retrieve allowed schema metadata but cannot modify or expose unrelated assets.

D:

A standard view stores query definition rather than a separately refreshed result set. This observation would not establish that the required result occurred for A Copilot chat tool retrieves schema objects from a Fabric lakehouse through a configured MCP connection. The confirming test is: The tool can retrieve allowed schema metadata but cannot modify or expose unrelated assets.

Question 291

A platform team wants read-only exploration of lakehouse metadata in a coding assistant. Which approach achieves the intended result without bypassing the stated controls?

  1. Configure and validate the approved MCP server endpoint with scoped identity and tool permissions.
  2. Require review, safe transaction/testing, and explicit scope verification before executing generated SQL.
  3. Use an authorized Fabric lakehouse MCP endpoint with least-privilege metadata scope.
  4. Use a system-versioned temporal table with its history table properly configured.

Explanation

Correct Answer

C:

Fabric MCP tooling is a controlled integration boundary, not blanket cross-workspace authorization. For the described situation—A platform team wants read-only exploration of lakehouse metadata in a coding assistant—the targeted fix is Use an authorized Fabric lakehouse MCP endpoint with least-privilege metadata scope. A successful test should show: The tool can retrieve allowed schema metadata but cannot modify or expose unrelated assets.

Incorrect Answers

A:

MCP exposes tools and context; its trust, identity, and permitted actions require explicit security review. But that technique does not solve the stated problem—A platform team wants read-only exploration of lakehouse metadata in a coding assistant. The needed intervention is Use an authorized Fabric lakehouse MCP endpoint with least-privilege metadata scope.

B:

Generative suggestions are untrusted code; destructive statements need deterministic safety controls. But that technique does not solve the stated problem—A platform team wants read-only exploration of lakehouse metadata in a coding assistant. The needed intervention is Use an authorized Fabric lakehouse MCP endpoint with least-privilege metadata scope.

D:

Temporal tables automatically retain historical row versions keyed by system time. But that technique does not solve the stated problem—A platform team wants read-only exploration of lakehouse metadata in a coding assistant. The needed intervention is Use an authorized Fabric lakehouse MCP endpoint with least-privilege metadata scope.

Question 292

A platform team wants read-only exploration of lakehouse metadata in a coding assistant. How should the team validate the selected design?

  1. Assistant-access logs show only approved scope and no high-privilege keys enter its context.
  2. The tool can retrieve allowed schema metadata but cannot modify or expose unrelated assets.
  3. Unsupported syntax is caught in a controlled environment before any production deployment.
  4. Duplicate non-null emails fail while multiple missing values behave per the documented rule.

Explanation

Correct Answer

B:

Fabric MCP tooling is a controlled integration boundary, not blanket cross-workspace authorization. The observation “The tool can retrieve allowed schema metadata but cannot modify or expose unrelated assets” directly confirms the chosen action worked for this situation: A platform team wants read-only exploration of lakehouse metadata in a coding assistant.

Incorrect Answers

A:

An AI coding tool cannot make elevated secrets safe; supplied context and tool privileges must be governed. This observation would not establish that the required result occurred for A platform team wants read-only exploration of lakehouse metadata in a coding assistant. The confirming test is: The tool can retrieve allowed schema metadata but cannot modify or expose unrelated assets.

C:

AI suggestions can hallucinate features or ignore version differences; execution verification is essential. This observation would not establish that the required result occurred for A platform team wants read-only exploration of lakehouse metadata in a coding assistant. The confirming test is: The tool can retrieve allowed schema metadata but cannot modify or expose unrelated assets.

D:

SQL Server UNIQUE and filtered unique indexes differ in how missing values can be represented. This observation would not establish that the required result occurred for A platform team wants read-only exploration of lakehouse metadata in a coding assistant. The confirming test is: The tool can retrieve allowed schema metadata but cannot modify or expose unrelated assets.

Question 293

An AI helper suggests a T-SQL function unavailable on the current SQL Server version. What intervention should the responsible engineer choose?

  1. Provide least-privilege read access or a nonproduction copy and keep secrets outside prompts.
  2. Configure repository-level Copilot instruction files specifying SQL conventions and approved practices.
  3. Use JSON_CONTAINS or an appropriate supported JSON-path predicate for the target version.
  4. Validate generated SQL against actual engine version, feature availability, and representative tests.

Explanation

Correct Answer

D:

AI suggestions can hallucinate features or ignore version differences; execution verification is essential. For the described situation—An AI helper suggests a T-SQL function unavailable on the current SQL Server version—the targeted fix is Validate generated SQL against actual engine version, feature availability, and representative tests. A successful test should show: Unsupported syntax is caught in a controlled environment before any production deployment.

Incorrect Answers

A:

An AI coding tool cannot make elevated secrets safe; supplied context and tool privileges must be governed. But that technique does not solve the stated problem—An AI helper suggests a T-SQL function unavailable on the current SQL Server version. The needed intervention is Validate generated SQL against actual engine version, feature availability, and representative tests.

B:

Copilot instruction files guide generated suggestions but do not enforce database permissions or accuracy. But that technique does not solve the stated problem—An AI helper suggests a T-SQL function unavailable on the current SQL Server version. The needed intervention is Validate generated SQL against actual engine version, feature availability, and representative tests.

C:

JSON membership functions compare structured content, not formatting-dependent text substrings. But that technique does not solve the stated problem—An AI helper suggests a T-SQL function unavailable on the current SQL Server version. The needed intervention is Validate generated SQL against actual engine version, feature availability, and representative tests.

Question 294

An AI helper suggests a T-SQL function unavailable on the current SQL Server version. What observable outcome proves the recommendation worked?

  1. Unsupported syntax is caught in a controlled environment before any production deployment.
  2. Assistant-access logs show only approved scope and no high-privilege keys enter its context.
  3. Eligible users can invoke the approved experience while policy restrictions remain enforced.
  4. The query returns the expected extracted token and handles missing matches correctly.

Explanation

Correct Answer

A:

AI suggestions can hallucinate features or ignore version differences; execution verification is essential. The observation “Unsupported syntax is caught in a controlled environment before any production deployment” directly confirms the chosen action worked for this situation: An AI helper suggests a T-SQL function unavailable on the current SQL Server version.

Incorrect Answers

B:

An AI coding tool cannot make elevated secrets safe; supplied context and tool privileges must be governed. This observation would not establish that the required result occurred for An AI helper suggests a T-SQL function unavailable on the current SQL Server version. The confirming test is: Unsupported syntax is caught in a controlled environment before any production deployment.

C:

Copilot availability depends on supported platform settings and entitlements, not only local IDE configuration. This observation would not establish that the required result occurred for An AI helper suggests a T-SQL function unavailable on the current SQL Server version. The confirming test is: Unsupported syntax is caught in a controlled environment before any production deployment.

D:

REGEXP_SUBSTR extracts matching text; REGEXP_LIKE only evaluates whether a match exists. This observation would not establish that the required result occurred for An AI helper suggests a T-SQL function unavailable on the current SQL Server version. The confirming test is: Unsupported syntax is caught in a controlled environment before any production deployment.

Question 295

An engineer copies generated code using vector features that may be preview on the target deployment. Which design choice BEST addresses the root issue?

  1. Record the selected supported model and tool context, then benchmark suggestions on a held-out SQL task set.
  2. Use an authorized Fabric lakehouse MCP endpoint with least-privilege metadata scope.
  3. Return the inserted key via OUTPUT inserted or a suitable scope-aware identity mechanism.
  4. Validate generated SQL against actual engine version, feature availability, and representative tests.

Explanation

Correct Answer

D:

AI suggestions can hallucinate features or ignore version differences; execution verification is essential. For the described situation—An engineer copies generated code using vector features that may be preview on the target deployment—the targeted fix is Validate generated SQL against actual engine version, feature availability, and representative tests. A successful test should show: Unsupported syntax is caught in a controlled environment before any production deployment.

Incorrect Answers

A:

AI model/tool selection influences responses, but only execution tests and review validate SQL correctness. But that technique does not solve the stated problem—An engineer copies generated code using vector features that may be preview on the target deployment. The needed intervention is Validate generated SQL against actual engine version, feature availability, and representative tests.

B:

Fabric MCP tooling is a controlled integration boundary, not blanket cross-workspace authorization. But that technique does not solve the stated problem—An engineer copies generated code using vector features that may be preview on the target deployment. The needed intervention is Validate generated SQL against actual engine version, feature availability, and representative tests.

C:

MAX(Id) is unsafe for concurrent identity retrieval; OUTPUT ties returned keys to the statement. But that technique does not solve the stated problem—An engineer copies generated code using vector features that may be preview on the target deployment. The needed intervention is Validate generated SQL against actual engine version, feature availability, and representative tests.

Question 296

An engineer copies generated code using vector features that may be preview on the target deployment. Which result would provide the strongest acceptance evidence?

  1. Assistant-access logs show only approved scope and no high-privilege keys enter its context.
  2. Eligible users can invoke the approved experience while policy restrictions remain enforced.
  3. Unsupported syntax is caught in a controlled environment before any production deployment.
  4. Group-by report throughput and storage use improve on representative workloads.

Explanation

Correct Answer

C:

AI suggestions can hallucinate features or ignore version differences; execution verification is essential. The observation “Unsupported syntax is caught in a controlled environment before any production deployment” directly confirms the chosen action worked for this situation: An engineer copies generated code using vector features that may be preview on the target deployment.

Incorrect Answers

A:

An AI coding tool cannot make elevated secrets safe; supplied context and tool privileges must be governed. This observation would not establish that the required result occurred for An engineer copies generated code using vector features that may be preview on the target deployment. The confirming test is: Unsupported syntax is caught in a controlled environment before any production deployment.

B:

Copilot availability depends on supported platform settings and entitlements, not only local IDE configuration. This observation would not establish that the required result occurred for An engineer copies generated code using vector features that may be preview on the target deployment. The confirming test is: Unsupported syntax is caught in a controlled environment before any production deployment.

D:

Columnstore organizes and compresses columns for analytic scans but can cost more for some OLTP mutations. This observation would not establish that the required result occurred for An engineer copies generated code using vector features that may be preview on the target deployment. The confirming test is: Unsupported syntax is caught in a controlled environment before any production deployment.

Question 297

An application must query customer medical IDs while keeping plaintext outside the SQL engine's process. What should the database team change FIRST for this workload?

  1. Constrain network access using supported private endpoints and firewall or network policy.
  2. Use Always Encrypted with properly protected client-side keys for supported confidential columns.
  3. Use Managed Identity with Microsoft Entra authentication and least-privilege SQL principal permissions.
  4. Use monitoring and workload profiling to choose suitable capacity/configuration changes.

Explanation

Correct Answer

B:

Always Encrypted keeps protected data encrypted from the SQL engine when client drivers manage keys. For the described situation—An application must query customer medical IDs while keeping plaintext outside the SQL engine's process—the targeted fix is Use Always Encrypted with properly protected client-side keys for supported confidential columns. A successful test should show: Network and server-side observations show ciphertext while the authorized client can decrypt.

Incorrect Answers

A:

Network isolation limits reachability but complements rather than replaces SQL authentication and grants. But that technique does not solve the stated problem—An application must query customer medical IDs while keeping plaintext outside the SQL engine's process. The needed intervention is Use Always Encrypted with properly protected client-side keys for supported confidential columns.

C:

Managed identity enables token-based passwordless workload authentication, subject to identity and SQL grants. But that technique does not solve the stated problem—An application must query customer medical IDs while keeping plaintext outside the SQL engine's process. The needed intervention is Use Always Encrypted with properly protected client-side keys for supported confidential columns.

D:

Capacity selection should reflect measured demand, not only the number of users. But that technique does not solve the stated problem—An application must query customer medical IDs while keeping plaintext outside the SQL engine's process. The needed intervention is Use Always Encrypted with properly protected client-side keys for supported confidential columns.

Question 298

An application must query customer medical IDs while keeping plaintext outside the SQL engine's process. Which acceptance check should accompany the remediation?

  1. Repository scans find no secret and deployment uses an authorized scoped identity.
  2. Network and server-side observations show ciphertext while the authorized client can decrypt.
  3. Negative tests prove an assistant cannot issue unauthorized DDL or DML through the endpoint.
  4. The production artifact hash matches the reviewed build and deployment record.

Explanation

Correct Answer

B:

Always Encrypted keeps protected data encrypted from the SQL engine when client drivers manage keys. The observation “Network and server-side observations show ciphertext while the authorized client can decrypt” directly confirms the chosen action worked for this situation: An application must query customer medical IDs while keeping plaintext outside the SQL engine's process.

Incorrect Answers

A:

Source control is not a secure secret store; leaked SQL credentials require revocation and rotation. This observation would not establish that the required result occurred for An application must query customer medical IDs while keeping plaintext outside the SQL engine's process. The confirming test is: Network and server-side observations show ciphertext while the authorized client can decrypt.

C:

MCP is an action gateway; server-side permissions and tool allowlists are necessary even with trusted prompts. This observation would not establish that the required result occurred for An application must query customer medical IDs while keeping plaintext outside the SQL engine's process. The confirming test is: Network and server-side observations show ciphertext while the authorized client can decrypt.

D:

Promoting the same validated artifact strengthens release traceability and reduces environment divergence. This observation would not establish that the required result occurred for An application must query customer medical IDs while keeping plaintext outside the SQL engine's process. The confirming test is: Network and server-side observations show ciphertext while the authorized client can decrypt.

Question 299

A regulated database has highly sensitive column values and the DBA should not obtain decryption keys. Which implementation most directly satisfies the stated requirement?

  1. Use supported column-level encryption with governed key access and explicit decryption rights.
  2. Move secrets to a managed vault or protected pipeline identity and rotate any exposed credential.
  3. Use Always Encrypted with properly protected client-side keys for supported confidential columns.
  4. Rewrite predicates to sargable range conditions where semantics are preserved.

Explanation

Correct Answer

C:

Always Encrypted keeps protected data encrypted from the SQL engine when client drivers manage keys. For the described situation—A regulated database has highly sensitive column values and the DBA should not obtain decryption keys—the targeted fix is Use Always Encrypted with properly protected client-side keys for supported confidential columns. A successful test should show: Network and server-side observations show ciphertext while the authorized client can decrypt.

Incorrect Answers

A:

SQL column encryption differs from Always Encrypted in the location of decryption and key trust boundary. But that technique does not solve the stated problem—A regulated database has highly sensitive column values and the DBA should not obtain decryption keys. The needed intervention is Use Always Encrypted with properly protected client-side keys for supported confidential columns.

B:

Source control is not a secure secret store; leaked SQL credentials require revocation and rotation. But that technique does not solve the stated problem—A regulated database has highly sensitive column values and the DBA should not obtain decryption keys. The needed intervention is Use Always Encrypted with properly protected client-side keys for supported confidential columns.

D:

Applying functions to indexed columns often prevents efficient predicate seek pushdown. But that technique does not solve the stated problem—A regulated database has highly sensitive column values and the DBA should not obtain decryption keys. The needed intervention is Use Always Encrypted with properly protected client-side keys for supported confidential columns.

Question 300

A regulated database has highly sensitive column values and the DBA should not obtain decryption keys. What measurement or test best demonstrates that the requirement is satisfied?

  1. Identity-disabled users lose access and successful sessions show approved organizational identity.
  2. Network and server-side observations show ciphertext while the authorized client can decrypt.
  3. Sample operations produce searchable audit events with principal and timestamp.
  4. Replaying the same event leaves one effective downstream change without data loss.

Explanation

Correct Answer

B:

Always Encrypted keeps protected data encrypted from the SQL engine when client drivers manage keys. The observation “Network and server-side observations show ciphertext while the authorized client can decrypt” directly confirms the chosen action worked for this situation: A regulated database has highly sensitive column values and the DBA should not obtain decryption keys.

Incorrect Answers

A:

Entra identities centralize credential lifecycle while SQL object grants still govern data access. This observation would not establish that the required result occurred for A regulated database has highly sensitive column values and the DBA should not obtain decryption keys. The confirming test is: Network and server-side observations show ciphertext while the authorized client can decrypt.

C:

Auditing records database activity; Query Store is primarily a performance history facility. This observation would not establish that the required result occurred for A regulated database has highly sensitive column values and the DBA should not obtain decryption keys. The confirming test is: Network and server-side observations show ciphertext while the authorized client can decrypt.

D:

Change triggers and at-least-once deliveries demand explicit deduplication and checkpointing. This observation would not establish that the required result occurred for A regulated database has highly sensitive column values and the DBA should not obtain decryption keys. The confirming test is: Network and server-side observations show ciphertext while the authorized client can decrypt.

Developing AI-Enabled Database Solutions (DP-800) Practice Tests