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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

Microsoft DP-800 Questions & Answers

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Microsoft DP-800 Practice Test 22

Question 210

Two deployment environments use different currency lookup codes, causing inconsistent reports. Which measurable outcome BEST verifies that the requirement is satisfied?

  1. Repository scans show no live credentials while seed records remain deterministic.
  2. Both environments contain the same expected currency code set.
  3. A billing SQL PR requires a finance-code-owner approval before merge.
  4. The merged procedure passes both teams' regression tests.

Explanation

Correct Answer

B:

Both environments contain the same expected currency code set. This is the decisive observable evidence after implementing version reference data alongside schema and apply idempotent migration scripts. It tests the underlying requirement: Untracked static data can drift even when table definitions match.

Incorrect Answers

A:

Repository scans show no live credentials while seed records remain deterministic. However, that result would not establish the required outcome: both environments contain the same expected currency code set.

C:

A billing SQL PR requires a finance-code-owner approval before merge. However, that result would not establish the required outcome: both environments contain the same expected currency code set.

D:

The merged procedure passes both teams' regression tests. However, that result would not establish the required outcome: both environments contain the same expected currency code set.

Question 211

A payment platform stores exact currency amounts and currently uses FLOAT, producing rounding differences. Which technical reason BEST explains the proposed correction?

  1. An INT cannot represent IDs above its signed range.
  2. Bulk reservation reduces repeated allocation calls but values remain consumable and nontransactional.
  3. Binary floating-point approximations cannot represent every decimal currency value exactly.
  4. Finite ranges exhaust and enabling CYCLE without safety checks may repeat identifiers.

Explanation

Correct Answer

C:

Binary floating-point approximations cannot represent every decimal currency value exactly. This explains why the corrective action is to replace FLOAT money arithmetic with appropriately sized DECIMAL precision and scale. Confirm the diagnosis when reconciled payment totals match control calculations to the cent.

Incorrect Answers

A:

An INT cannot represent IDs above its signed range. The actual technical constraint is that binary floating-point approximations cannot represent every decimal currency value exactly.

B:

Bulk reservation reduces repeated allocation calls but values remain consumable and nontransactional. The actual technical constraint is that binary floating-point approximations cannot represent every decimal currency value exactly.

D:

Finite ranges exhaust and enabling CYCLE without safety checks may repeat identifiers. The actual technical constraint is that binary floating-point approximations cannot represent every decimal currency value exactly.

Question 212

A partition scheme maps every new monthly data slice into the final partition unexpectedly. What maintenance or governance control BEST reduces recurrence of this problem?

  1. Use transactional change control and rehearse rollback.
  2. Measure write overhead and index usage before adopting more indexes.
  3. Use a dedicated serialized legal numbering process if gaplessness is mandatory.
  4. Pre-create boundaries and monitor data skew.

Explanation

Correct Answer

D:

Pre-create boundaries and monitor data skew. This guards against recurrence because missing future boundaries force incoming values into the existing terminal partition. The direct remediation is: Manage the partition function with properly planned SPLIT RANGE boundaries.

Incorrect Answers

A:

Use transactional change control and rehearse rollback. The current task instead requires this action: pre-create boundaries and monitor data skew.

B:

Measure write overhead and index usage before adopting more indexes.

C:

Use a dedicated serialized legal numbering process if gaplessness is mandatory.

Question 213

A finance bot must add exact invoice totals rather than compose explanatory prose. Which implementation decision BEST addresses this requirement?

  1. Use deterministic SQL aggregation for arithmetic and add RAG only for explanatory source text if needed.
  2. Use tenant-trimmed retrieval with citations and a strict abstention policy.
  3. Validate structured model output against a strict schema and reject invalid responses.
  4. Check REST endpoint authentication and configured identity before changing the SQL result parser.

Explanation

Correct Answer

A:

Use deterministic SQL aggregation for arithmetic and add RAG only for explanatory source text if needed. This targets the primary issue because numeric reconciliation is a structured calculation, not a reason to hallucinate an answer from documents. Verification: The computed amount matches audited ledger SQL exactly. Prevent recurrence: Keep business arithmetic outside uncontrolled model generation.

Incorrect Answers

B:

RAG is appropriate only if the retriever enforces contractual permissions.

C:

Generated output is not guaranteed to follow instructions unless independently checked.

D:

An authorization error occurs before model inference can produce valid content.

Question 214

A catalog embeds a numeric inventory count into every product description and regenerates all vectors on each sale. Which measurable outcome BEST verifies that the requirement is satisfied?

  1. A sampled outbound model request contains no restricted secrets.
  2. Stock changes do not regenerate descriptive vectors yet filters use current quantities.
  3. A staging inference call succeeds with the new approved endpoint.
  4. Blind tests meet per-language quality and p95 response targets.

Explanation

Correct Answer

B:

Stock changes do not regenerate descriptive vectors yet filters use current quantities. This is the decisive observable evidence after implementing keep rapidly changing structured quantities as filterable columns outside the descriptive embedding text. It tests the underlying requirement: Frequent numeric fields add update cost and can weaken semantic relevance.

Incorrect Answers

A:

A sampled outbound model request contains no restricted secrets. However, that result would not establish the required outcome: stock changes do not regenerate descriptive vectors yet filters use current quantities.

C:

A staging inference call succeeds with the new approved endpoint. However, that result would not establish the required outcome: stock changes do not regenerate descriptive vectors yet filters use current quantities.

D:

Blind tests meet per-language quality and p95 response targets. However, that result would not establish the required outcome: stock changes do not regenerate descriptive vectors yet filters use current quantities.

Question 215

A query uses NOT IN to find suppliers with no invoices but invoice SupplierId can contain NULL. Which technical reason BEST explains the proposed correction?

  1. An outer reference lets the inner aggregate vary by each row's category.
  2. String resemblance cannot guarantee two records represent the same person.
  3. NULL in a NOT IN subquery can yield UNKNOWN and unexpectedly filter all rows.
  4. Graph relationships support path queries but still need guarded edge permissions.

Explanation

Correct Answer

C:

NULL in a NOT IN subquery can yield UNKNOWN and unexpectedly filter all rows. This explains why the corrective action is to prefer a properly correlated NOT EXISTS with matching key conditions. Confirm the diagnosis when suppliers with no invoice are returned correctly with null-containing test data.

Incorrect Answers

A:

An outer reference lets the inner aggregate vary by each row's category. The actual technical constraint is that NULL in a NOT IN subquery can yield UNKNOWN and unexpectedly filter all rows.

B:

String resemblance cannot guarantee two records represent the same person. The actual technical constraint is that NULL in a NOT IN subquery can yield UNKNOWN and unexpectedly filter all rows.

D:

Graph relationships support path queries but still need guarded edge permissions. The actual technical constraint is that NULL in a NOT IN subquery can yield UNKNOWN and unexpectedly filter all rows.

Question 216

A vector corpus uses cosine similarity but index and query metrics are inconsistent. What maintenance or governance control BEST reduces recurrence of this problem?

  1. Monitor quality and refresh indexes after corpus shifts.
  2. Verify platform, dimension limit and client compatibility.
  3. Maintain per-segment regression sets.
  4. Record metric and index parameters with model version.

Explanation

Correct Answer

D:

Record metric and index parameters with model version. This guards against recurrence because distance semantics affect neighbor ordering and recall. The direct remediation is: Align metric and model embedding guidance across index creation and query evaluation.

Incorrect Answers

A:

Monitor quality and refresh indexes after corpus shifts. The current task instead requires this action: record metric and index parameters with model version.

B:

Verify platform, dimension limit and client compatibility. The current task instead requires this action: record metric and index parameters with model version.

C:

Maintaining per-segment regression sets addresses a different database behavior; the relevant distinction is that record metric and index parameters with model version.

Question 217

A DAB service is deployed to Azure Container Apps without private access to its Azure SQL backend. What should the SQL developer do FIRST to address the specific issue?

  1. Configure supported network access, managed identity and database permissions.
  2. Harden ingress, authentication, rate limiting and query bounds before production exposure.
  3. Use an appropriate DAB cache TTL or disable cache for volatile inventory fields.
  4. Configure a GraphQL endpoint and modeled relationships for approved entities.

Explanation

Correct Answer

A:

Configure supported network access, managed identity and database permissions. This targets the primary issue because publishing the API does not grant the host network or SQL access automatically. Verification: Container-based smoke tests connect securely to the intended Azure SQL database. Prevent recurrence: Monitor connection failures and restrict ingress.

Incorrect Answers

B:

Autoscaling the API does not eliminate downstream database exhaustion or unauthorized access.

C:

Response caching trades freshness for latency and may serve obsolete facts.

D:

GraphQL can request related fields through a typed schema rather than repeated round trips.

Question 218

An employee assistant must answer questions from policies that change weekly without retraining a base model. Which acceptance check is MOST directly related to this scenario?

  1. The computed amount matches audited ledger SQL exactly.
  2. New policy clauses appear in answer citations after refresh.
  3. A simulated 503 is routed to retry/alert logic without false answer content.
  4. A JSON parser reconstructs the intended order IDs and amounts.

Explanation

Correct Answer

B:

New policy clauses appear in answer citations after refresh. This is the decisive observable evidence after implementing use retrieval-augmented generation over current authorized policy documents. It tests the underlying requirement: RAG can inject up-to-date source evidence at answer time rather than encoding it in weights.

Incorrect Answers

A:

The computed amount matches audited ledger SQL exactly. However, that result would not establish the required outcome: new policy clauses appear in answer citations after refresh.

C:

A simulated 503 is routed to retry/alert logic without false answer content. However, that result would not establish the required outcome: new policy clauses appear in answer citations after refresh.

D:

A JSON parser reconstructs the intended order IDs and amounts. However, that result would not establish the required outcome: new policy clauses appear in answer citations after refresh.

Question 219

A contract is embedded as one 400-page block and retrieval often returns irrelevant sections. Which technical property or constraint MOST directly matters here?

  1. Mixed-language chunks can confuse similarity and citation mapping.
  2. Embeddings are computed numeric representations and are not created merely by defining a VECTOR column.
  3. Oversized chunks mix unrelated topics and degrade passage-level relevance.
  4. Vector dimensionality is fixed by the column and must match the query vector.

Explanation

Correct Answer

C:

Oversized chunks mix unrelated topics and degrade passage-level relevance. This explains why the corrective action is to split content by semantically meaningful sections within model token limits. Confirm the diagnosis when clause queries retrieve the specific correct paragraph rather than the entire contract.

Incorrect Answers

A:

Mixed-language chunks can confuse similarity and citation mapping. The actual technical constraint is that oversized chunks mix unrelated topics and degrade passage-level relevance.

B:

Embeddings are computed numeric representations and are not created merely by defining a VECTOR column. The actual technical constraint is that oversized chunks mix unrelated topics and degrade passage-level relevance.

D:

Vector dimensionality is fixed by the column and must match the query vector. The actual technical constraint is that oversized chunks mix unrelated topics and degrade passage-level relevance.

Question 220

A team stores model API keys directly in a version-controlled SQL Database Project. Which preventive practice BEST addresses the underlying risk over time?

  1. Review grants separately when components are replaced.
  2. Rotate signing keys and validate audiences and issuers.
  3. Monitor service-principal grants and run negative authorization tests.
  4. Rotate any exposed keys and protect repository history.

Explanation

Correct Answer

D:

Rotate any exposed keys and protect repository history. This guards against recurrence because repository history retains secrets even after a visible commit is removed. The direct remediation is: Remove keys and use deployment-time secret references or supported managed identity.

Incorrect Answers

A:

Review grants separately when components are replaced. The current task instead requires this action: rotate any exposed keys and protect repository history.

B:

Rotate signing keys and validate audiences and issuers. The current task instead requires this action: rotate any exposed keys and protect repository history.

C:

Monitor service-principal grants and run negative authorization tests. The current task instead requires this action: rotate any exposed keys and protect repository history.

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