McAfee Secure

Exam Code: DP-800

Exam Name: Developing AI-Enabled Database Solutions

Certification Provider: Microsoft

Corresponding Certification: Microsoft Certified: SQL AI Developer Associate

Microsoft DP-800 Questions & Answers

Study with Up-To-Date REAL Exam Questions and Answers from the ACTUAL Test

101 Questions & Answers with Testing Engine

"Developing AI-Enabled Database Solutions Exam", also known as DP-800 exam, is a Microsoft certification exam.

Pass your tests with the always up-to-date DP-800 Exam Engine. Your DP-800 training materials keep you at the head of the pack!

Satisfaction Guaranteed

Money Back Guarantee

Testking provides hassle-free money back guarantee with our products. That is because we have 100% trust in the abilities of our professional and experience product team, and our record is a proof of that.

99.6% PASS RATE
Was: $137.49
Now: $124.99

Microsoft DP-800 Practice Test 42

Question 410

A stored procedure passes DECIMAL prices as unquoted strings with locale commas and model summaries misstate values. Which implementation decision BEST addresses this requirement?

  1. Project only required columns into a controlled JSON payload.
  2. Serialize numeric SQL types as valid JSON numbers with explicit unit metadata.
  3. Allowlist approved model endpoints and validate request content and destination.
  4. Summarize or chunk results within supported token and request limits before model invocation.

Explanation

Correct Answer

B:

Serialize numeric SQL types as valid JSON numbers with explicit unit metadata. This targets the primary issue because JSON encoding preserves numeric representation better than locale-dependent concatenation. Verification: An API test reads amounts with correct decimal interpretation. Prevent recurrence: Compare model output to authoritative SQL totals.

Incorrect Answers

A:

Data minimization reduces prompt exposure and cost without losing relevant context.

C:

Arbitrary external REST calls risk server-side request forgery and data exfiltration.

D:

Summarize or chunk results within supported token and request limits before model invocation. The relevant technical condition instead is that serialize numeric SQL types as valid JSON numbers with explicit unit metadata.

Question 411

One document ranks first in both lexical and vector results while another appears only ninth in one. Which measurable outcome BEST verifies that the requirement is satisfied?

  1. A simple manual calculation matches fusion output.
  2. A labeled benchmark meets recall for both common and rare queries.
  3. The joint top-ranked item receives the expected combined score.
  4. Small reference vectors yield known expected distances.

Explanation

Correct Answer

C:

The joint top-ranked item receives the expected combined score. This is the decisive observable evidence after implementing use RRF to reward documents ranking highly across multiple candidate lists. It tests the underlying requirement: RRF sums reciprocal functions of positions across lists.

Incorrect Answers

A:

A simple manual calculation matches fusion output. However, that result would not establish the required outcome: the joint top-ranked item receives the expected combined score.

B:

A labeled benchmark meets recall for both common and rare queries. However, that result would not establish the required outcome: the joint top-ranked item receives the expected combined score.

D:

Small reference vectors yield known expected distances. However, that result would not establish the required outcome: the joint top-ranked item receives the expected combined score.

Question 412

An application needs encrypted values at rest but server-side procedures must decrypt a small field. Which technical reason BEST explains the proposed correction?

  1. Always Encrypted protects configured column values from the SQL engine during normal processing.
  2. Audit collection adds actor, operation and time evidence but does not itself block changes.
  3. Read filtering alone does not necessarily stop unauthorized DML that changes row ownership.
  4. Server-side encryption can decrypt inside SQL with authorized key access, unlike client-controlled Always Encrypted.

Explanation

Correct Answer

D:

Server-side encryption can decrypt inside SQL with authorized key access, unlike client-controlled Always Encrypted. This explains why the corrective action is to evaluate SQL column-level encryption with explicit key and certificate controls. Confirm the diagnosis when approved procedures decrypt the target values and unauthorized roles cannot open keys.

Incorrect Answers

A:

Always Encrypted protects configured column values from the SQL engine during normal processing. The actual technical constraint is that server-side encryption can decrypt inside SQL with authorized key access, unlike client-controlled Always Encrypted.

B:

Auditing collection adds actor, operation and time evidence but does not itself block changes concerns a different mechanism; the relevant technical point is that server-side encryption can decrypt inside SQL with authorized key access, unlike client-controlled Always Encrypted.

C:

Read filtering alone does not necessarily stop unauthorized DML that changes row ownership. The actual technical constraint is that server-side encryption can decrypt inside SQL with authorized key access, unlike client-controlled Always Encrypted.

Question 413

An RLS policy uses SESSION_CONTEXT set directly from untrusted request text. Which preventive practice BEST addresses the underlying risk over time?

  1. Reset pooled connections and validate context on each request.
  2. Monitor service-principal grants and run negative authorization tests.
  3. Rehearse key recovery and avoid distributing keys in scripts.
  4. Do not use masking as the sole defense for highly sensitive fields.

Explanation

Correct Answer

A:

Reset pooled connections and validate context on each request. This guards against recurrence because session context is only safe as an authorization input when callers cannot impersonate other tenants. The direct remediation is: Derive tenant identity from verified authentication and tightly controlled session setup.

Incorrect Answers

B:

Monitor service-principal grants and run negative authorization tests. The current task instead requires this action: reset pooled connections and validate context on each request.

C:

Rehearse key recovery and avoid distributing keys in scripts. The current task instead requires this action: reset pooled connections and validate context on each request.

D:

Do not use masking as the sole defense for highly sensitive fields.

Question 414

A deployment blindly INSERTs static country rows on every run and fails with duplicates. What should the SQL developer do FIRST to address the specific issue?

  1. Remove sensitive values and parameterize environment configuration outside version control.
  2. Use idempotent keyed upserts or appropriate repeat-safe seed operations.
  3. Pin supported SDK/project package versions and restore dependencies before build.
  4. Put the SQL Database Project into a protected Git repository.

Explanation

Correct Answer

B:

Use idempotent keyed upserts or appropriate repeat-safe seed operations. This targets the primary issue because repeatable deployments must not assume reference rows are absent. Verification: Running the seed twice leaves the same validated rows. Prevent recurrence: Avoid overwriting locally maintained fields unexpectedly.

Incorrect Answers

A:

Remove sensitive values and parameterize environment configuration outside version control. The relevant technical condition instead is that use idempotent keyed upserts or appropriate repeat-safe seed operations.

C:

SDK-style builds depend on resolved tooling and compatible target platforms.

D:

Put the SQL Database Project into a protected Git repository. The relevant technical condition instead is that use idempotent keyed upserts or appropriate repeat-safe seed operations.

Question 415

An application expects a 64-bit vendor identifier but its SQL key column is INT and may overflow. Which acceptance check is MOST directly related to this scenario?

  1. Reconciled payment totals match control calculations to the cent.
  2. A duplicate test insert fails while valid distinct orders succeed.
  3. High-ID inserts and all dependent joins work in migration tests.
  4. Plans show elimination for a month-filtered report and totals remain correct.

Explanation

Correct Answer

C:

High-ID inserts and all dependent joins work in migration tests. This is the decisive observable evidence after implementing select BIGINT after modeling value range, foreign keys and migration effects. It tests the underlying requirement: An INT cannot represent IDs above its signed range.

Incorrect Answers

A:

Reconciled payment totals match control calculations to the cent. However, that result would not establish the required outcome: high-ID inserts and all dependent joins work in migration tests.

B:

A duplicate test insert fails while valid distinct orders succeed. However, that result would not establish the required outcome: high-ID inserts and all dependent joins work in migration tests.

D:

Plans show elimination for a month-filtered report and totals remain correct. However, that result would not establish the required outcome: high-ID inserts and all dependent joins work in migration tests.

Question 416

An order detail table is queried by CustomerId and CreatedAt and performs repeated full scans. Which technical property or constraint MOST directly matters here?

  1. Binary floating-point approximations cannot represent every decimal currency value exactly.
  2. A default supplies a value on omission, not a guarantee against explicit bad values.
  3. Finite ranges exhaust and enabling CYCLE without safety checks may repeat identifiers.
  4. A missing selective access path forces large table or clustered-index scans.

Explanation

Correct Answer

D:

A missing selective access path forces large table or clustered-index scans. This explains why the corrective action is to design a useful composite rowstore index with leading keys matching the filters and inspect the execution plan. Confirm the diagnosis when the representative query reads fewer pages and retains correct ordered rows.

Incorrect Answers

A:

Binary floating-point approximations cannot represent every decimal currency value exactly. The actual technical constraint is that a missing selective access path forces large table or clustered-index scans.

B:

A default supplies a value on omission, not a guarantee against explicit bad values. The actual technical constraint is that a missing selective access path forces large table or clustered-index scans.

C:

Finite ranges exhaust and enabling CYCLE without safety checks may repeat identifiers. The actual technical constraint is that a missing selective access path forces large table or clustered-index scans.

Question 417

A user asks for 'how to prevent late shipment penalties' but document text says 'service-level liquidated damages'. Which preventive practice BEST addresses the underlying risk over time?

  1. Keep source citations and authorization filtering.
  2. Keep identifier search separate from semantic descriptions.
  3. Monitor quality and refresh indexes after corpus shifts.
  4. Verify metric choice and dimension equality.

Explanation

Correct Answer

A:

Keep source citations and authorization filtering. This guards against recurrence because embedding search can retrieve related ideas even without matching literal tokens. The direct remediation is: Use semantic vector retrieval to recognize conceptual meaning beyond exact words.

Incorrect Answers

B:

Keep identifier search separate from semantic descriptions. The current task instead requires this action: keep source citations and authorization filtering.

C:

Monitor quality and refresh indexes after corpus shifts. The current task instead requires this action: keep source citations and authorization filtering.

D:

Verify metric choice and dimension equality. The current task instead requires this action: keep source citations and authorization filtering.

Question 418

A Copilot MCP configuration points at a stale server with changed schema metadata. What should the SQL developer do FIRST to address the specific issue?

  1. Select an organization-approved model and review data-routing settings before sending schema text.
  2. Update and validate the MCP connection and available tool schema in the client.
  3. Review Fabric capacity eligibility and tenant Copilot admin controls before testing.
  4. Keep Copilot as an authoring assistant; execute changes through reviewed SQL project deployment.

Explanation

Correct Answer

B:

Update and validate the MCP connection and available tool schema in the client. This targets the primary issue because tool discovery and endpoint configuration determine accessible operations. Verification: The session lists the current intended tools and returns valid metadata. Prevent recurrence: Pin trusted endpoints and monitor certificate or token changes.

Incorrect Answers

A:

Different model endpoints can have different data governance and retention arrangements.

C:

Copilot in Fabric availability can depend on region, capacity and tenant policies.

D:

Keeping Copilot as an authoring assistant; execute changes through reviewed SQL project deployment would not correct a Copilot MCP configuration points at a stale server with changed schema metadata. Update and validate the MCP connection and available tool schema in the client.

Question 419

A product API caches inventory counts for an hour and customers see stale stock after orders. Which acceptance check is MOST directly related to this scenario?

  1. Page requests return stable bounded records without gaps.
  2. Health checks succeed and authorized REST queries work after rollout.
  3. After a stock change, clients see updated counts within the defined freshness SLA.
  4. The customer fixture returns exactly its own order items.

Explanation

Correct Answer

C:

After a stock change, clients see updated counts within the defined freshness SLA. This is the decisive observable evidence after implementing use an appropriate DAB cache TTL or disable cache for volatile inventory fields. It tests the underlying requirement: Response caching trades freshness for latency and may serve obsolete facts.

Incorrect Answers

A:

Page requests return stable bounded records without gaps. However, that result would not establish the required outcome: after a stock change, clients see updated counts within the defined freshness SLA.

B:

Health checks succeed and authorized REST queries work after rollout. However, that result would not establish the required outcome: after a stock change, clients see updated counts within the defined freshness SLA.

D:

The customer fixture returns exactly its own order items. However, that result would not establish the required outcome: after a stock change, clients see updated counts within the defined freshness SLA.

Question 420

Queries filter millions of product rows by a JSON property and repeatedly scan payloads. Which technical principle BEST explains the relevant design decision?

  1. Parsing nested arrays into typed rows reduces fragile manual string extraction.
  2. Sequence numbers can be consumed even when transactions roll back or cache is lost.
  3. Finite ranges exhaust and enabling CYCLE without safety checks may repeat identifiers.
  4. Unindexed JSON path predicates can incur expensive row-by-row parsing.

Explanation

Correct Answer

D:

Unindexed JSON path predicates can incur expensive row-by-row parsing. This explains why the corrective action is to evaluate supported JSON index or indexed computed-column path for that SQL platform and version. Confirm the diagnosis when the execution plan uses the chosen path access strategy and returns matching products.

Incorrect Answers

A:

Parsing nested arrays into typed rows reduces fragile manual string extraction. The actual technical constraint is that unindexed JSON path predicates can incur expensive row-by-row parsing.

B:

Sequence numbers can be consumed even when transactions roll back or cache is lost. The actual technical constraint is that unindexed JSON path predicates can incur expensive row-by-row parsing.

C:

Finite ranges exhaust and enabling CYCLE without safety checks may repeat identifiers. The actual technical constraint is that unindexed JSON path predicates can incur expensive row-by-row parsing.

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