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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 43

Question 420

A financial reservation operation passes individual row checks but fails under write-skew across rows. How should the team validate the selected design?

  1. The plan identifies the high-cost operator and a tested change reduces duration and logical reads.
  2. Concurrent test sessions cannot commit incompatible reservations.
  3. The blocker and blocked session chain are identified with actionable wait evidence.
  4. The pipeline rejects a logically incorrect procedure despite a successful schema build.

Explanation

Correct Answer

B:

Serializable isolation prevents phantom/invariant anomalies with stronger locking and possible contention. The observation “Concurrent test sessions cannot commit incompatible reservations” directly confirms the chosen action worked for this situation: A financial reservation operation passes individual row checks but fails under write-skew across rows.

Incorrect Answers

A:

Execution plans show access paths and join strategies; blind indexing is not reliable diagnosis. This observation would not establish that the required result occurred for A financial reservation operation passes individual row checks but fails under write-skew across rows. The confirming test is: Concurrent test sessions cannot commit incompatible reservations.

C:

DMVs expose current session/wait state; Query Store primarily provides historical query performance. This observation would not establish that the required result occurred for A financial reservation operation passes individual row checks but fails under write-skew across rows. The confirming test is: Concurrent test sessions cannot commit incompatible reservations.

D:

Build validation checks syntax/schema dependencies; tests verify behavior and interactions. This observation would not establish that the required result occurred for A financial reservation operation passes individual row checks but fails under write-skew across rows. The confirming test is: Concurrent test sessions cannot commit incompatible reservations.

Question 421

An application displays duplicate or missing items when users page through a changing data table. What intervention should the responsible engineer choose?

  1. Choose a supported isolation approach such as read committed snapshot after testing consistency requirements.
  2. Add bounded, classified transient retries with backoff after addressing underlying lock conflicts.
  3. Add a unique stable tie-breaker to ordering and consider keyset pagination for mutable streams.
  4. Implement Row-Level Security with a vetted predicate bound to authoritative tenant context.

Explanation

Correct Answer

C:

Stable ordering is essential for pagination; OFFSET without a unique key can duplicate or omit records. For the described situation—An application displays duplicate or missing items when users page through a changing data table—the targeted fix is Add a unique stable tie-breaker to ordering and consider keyset pagination for mutable streams. A successful test should show: Repeated paging covers the intended rows in deterministic order under the documented consistency model.

Incorrect Answers

A:

READ UNCOMMITTED or NOLOCK may read uncommitted changes; row versioning can improve concurrency without dirty reads. But that technique does not solve the stated problem—An application displays duplicate or missing items when users page through a changing data table. The needed intervention is Add a unique stable tie-breaker to ordering and consider keyset pagination for mutable streams.

B:

Retry logic must be finite and targeted; uncontrolled retries worsen resource contention. But that technique does not solve the stated problem—An application displays duplicate or missing items when users page through a changing data table. The needed intervention is Add a unique stable tie-breaker to ordering and consider keyset pagination for mutable streams.

D:

Database RLS applies row filters and block predicates centrally; it still needs secure session context. But that technique does not solve the stated problem—An application displays duplicate or missing items when users page through a changing data table. The needed intervention is Add a unique stable tie-breaker to ordering and consider keyset pagination for mutable streams.

Question 422

An application displays duplicate or missing items when users page through a changing data table. What observable outcome proves the recommendation worked?

  1. Representative parameter values meet latency targets without breaking atypical cases.
  2. Repeated paging covers the intended rows in deterministic order under the documented consistency model.
  3. A stale write is detected and retried or rejected rather than silently overwriting new data.
  4. An authorized restore/rekey drill successfully retrieves needed data under documented policy.

Explanation

Correct Answer

B:

Stable ordering is essential for pagination; OFFSET without a unique key can duplicate or omit records. The observation “Repeated paging covers the intended rows in deterministic order under the documented consistency model” directly confirms the chosen action worked for this situation: An application displays duplicate or missing items when users page through a changing data table.

Incorrect Answers

A:

Query Store keeps plan/runtime history and can help isolate parameter-sensitive plan regressions. This observation would not establish that the required result occurred for An application displays duplicate or missing items when users page through a changing data table. The confirming test is: Repeated paging covers the intended rows in deterministic order under the documented consistency model.

C:

Optimistic concurrency compares version tokens to prevent lost updates without holding long locks. This observation would not establish that the required result occurred for An application displays duplicate or missing items when users page through a changing data table. The confirming test is: Repeated paging covers the intended rows in deterministic order under the documented consistency model.

D:

Encryption without managed key lifecycle can make data permanently inaccessible. This observation would not establish that the required result occurred for An application displays duplicate or missing items when users page through a changing data table. The confirming test is: Repeated paging covers the intended rows in deterministic order under the documented consistency model.

Question 423

A feed uses OFFSET/FETCH ordered only by a nonunique timestamp and page boundaries shift unpredictably. Which design choice BEST addresses the root issue?

  1. Profile latch waits and evaluate suitable index/table design or supported last-page contention mitigation.
  2. Add a unique stable tie-breaker to ordering and consider keyset pagination for mutable streams.
  3. Identify the cycle and standardize access order, shorten transactions, and add bounded retry on deadlock victims.
  4. Use protected secrets or federated/workload identity with environment scope and least privilege.

Explanation

Correct Answer

B:

Stable ordering is essential for pagination; OFFSET without a unique key can duplicate or omit records. For the described situation—A feed uses OFFSET/FETCH ordered only by a nonunique timestamp and page boundaries shift unpredictably—the targeted fix is Add a unique stable tie-breaker to ordering and consider keyset pagination for mutable streams. A successful test should show: Repeated paging covers the intended rows in deterministic order under the documented consistency model.

Incorrect Answers

A:

Page-level hot spots can constrain concurrency beyond disk capacity; fixes require evidence of actual latch waits. But that technique does not solve the stated problem—A feed uses OFFSET/FETCH ordered only by a nonunique timestamp and page boundaries shift unpredictably. The needed intervention is Add a unique stable tie-breaker to ordering and consider keyset pagination for mutable streams.

C:

Deadlocks form cycles of lock dependencies; a victim rollback must be handled and root lock patterns improved. But that technique does not solve the stated problem—A feed uses OFFSET/FETCH ordered only by a nonunique timestamp and page boundaries shift unpredictably. The needed intervention is Add a unique stable tie-breaker to ordering and consider keyset pagination for mutable streams.

D:

Pipeline credentials must be stored outside source with restricted environment approval and identity scope. But that technique does not solve the stated problem—A feed uses OFFSET/FETCH ordered only by a nonunique timestamp and page boundaries shift unpredictably. The needed intervention is Add a unique stable tie-breaker to ordering and consider keyset pagination for mutable streams.

Question 424

A feed uses OFFSET/FETCH ordered only by a nonunique timestamp and page boundaries shift unpredictably. Which result would provide the strongest acceptance evidence?

  1. Peak load tests meet resource, latency, and cost limits after the chosen adjustment.
  2. Failing requests recover within limits or surface errors without a retry amplification storm.
  3. Model calls succeed using scoped identity and no raw key appears in SQL source or logs.
  4. Repeated paging covers the intended rows in deterministic order under the documented consistency model.

Explanation

Correct Answer

D:

Stable ordering is essential for pagination; OFFSET without a unique key can duplicate or omit records. The observation “Repeated paging covers the intended rows in deterministic order under the documented consistency model” directly confirms the chosen action worked for this situation: A feed uses OFFSET/FETCH ordered only by a nonunique timestamp and page boundaries shift unpredictably.

Incorrect Answers

A:

Capacity selection should reflect measured demand, not only the number of users. This observation would not establish that the required result occurred for A feed uses OFFSET/FETCH ordered only by a nonunique timestamp and page boundaries shift unpredictably. The confirming test is: Repeated paging covers the intended rows in deterministic order under the documented consistency model.

B:

Retry logic must be finite and targeted; uncontrolled retries worsen resource contention. This observation would not establish that the required result occurred for A feed uses OFFSET/FETCH ordered only by a nonunique timestamp and page boundaries shift unpredictably. The confirming test is: Repeated paging covers the intended rows in deterministic order under the documented consistency model.

C:

Protecting external model endpoints requires identity, credential boundaries, and least-privilege authorization. This observation would not establish that the required result occurred for A feed uses OFFSET/FETCH ordered only by a nonunique timestamp and page boundaries shift unpredictably. The confirming test is: Repeated paging covers the intended rows in deterministic order under the documented consistency model.

Question 425

A report uses SELECT * across a large table but only three columns are shown. What should the database team change FIRST for this workload?

  1. Configure Azure Monitor metrics, diagnostic logs, and appropriate alerts with actionable thresholds.
  2. Rewrite predicates to sargable range conditions where semantics are preserved.
  3. Use stronger access isolation, RLS and encryption as needed rather than relying on Dynamic Data Masking alone.
  4. Project only required columns and measure a covering index or columnstore fit.

Explanation

Correct Answer

D:

Overfetching wastes IO and network capacity; targeted projection can allow lean index access. For the described situation—A report uses SELECT * across a large table but only three columns are shown—the targeted fix is Project only required columns and measure a covering index or columnstore fit. A successful test should show: Logical reads and transferred bytes decrease while requested data stays correct.

Incorrect Answers

A:

Monitoring becomes operationally useful when routed to timely alerts rather than passive dashboards. But that technique does not solve the stated problem—A report uses SELECT * across a large table but only three columns are shown. The needed intervention is Project only required columns and measure a covering index or columnstore fit.

B:

Applying functions to indexed columns often prevents efficient predicate seek pushdown. But that technique does not solve the stated problem—A report uses SELECT * across a large table but only three columns are shown. The needed intervention is Project only required columns and measure a covering index or columnstore fit.

C:

DDM is a display feature, not a complete security boundary against statistical inference. But that technique does not solve the stated problem—A report uses SELECT * across a large table but only three columns are shown. The needed intervention is Project only required columns and measure a covering index or columnstore fit.

Question 426

A report uses SELECT * across a large table but only three columns are shown. Which acceptance check should accompany the remediation?

  1. Logical reads and transferred bytes decrease while requested data stays correct.
  2. A stale write is detected and retried or rejected rather than silently overwriting new data.
  3. The offending retention cause is resolved and log growth returns to expected levels.
  4. Anonymous and cross-role requests are denied while authorized queries return only allowed records.

Explanation

Correct Answer

A:

Overfetching wastes IO and network capacity; targeted projection can allow lean index access. The observation “Logical reads and transferred bytes decrease while requested data stays correct” directly confirms the chosen action worked for this situation: A report uses SELECT * across a large table but only three columns are shown.

Incorrect Answers

B:

Optimistic concurrency compares version tokens to prevent lost updates without holding long locks. This observation would not establish that the required result occurred for A report uses SELECT * across a large table but only three columns are shown. The confirming test is: Logical reads and transferred bytes decrease while requested data stays correct.

C:

Log capacity symptoms require diagnosis of transactions and truncation; blindly shrinking can recur. This observation would not establish that the required result occurred for A report uses SELECT * across a large table but only three columns are shown. The confirming test is: Logical reads and transferred bytes decrease while requested data stays correct.

D:

TLS encrypts transport but does not establish user authorization or row-level entitlements. This observation would not establish that the required result occurred for A report uses SELECT * across a large table but only three columns are shown. The confirming test is: Logical reads and transferred bytes decrease while requested data stays correct.

Question 427

An API saturates network bandwidth transporting unused large text columns. Which implementation most directly satisfies the stated requirement?

  1. Rewrite predicates to sargable range conditions where semantics are preserved.
  2. Project only required columns and measure a covering index or columnstore fit.
  3. Use SERIALIZABLE or appropriate locking for the invariant after load testing.
  4. Set the SQL project target platform correctly and validate compatibility before generating a deployment.

Explanation

Correct Answer

B:

Overfetching wastes IO and network capacity; targeted projection can allow lean index access. For the described situation—An API saturates network bandwidth transporting unused large text columns—the targeted fix is Project only required columns and measure a covering index or columnstore fit. A successful test should show: Logical reads and transferred bytes decrease while requested data stays correct.

Incorrect Answers

A:

Applying functions to indexed columns often prevents efficient predicate seek pushdown. But that technique does not solve the stated problem—An API saturates network bandwidth transporting unused large text columns. The needed intervention is Project only required columns and measure a covering index or columnstore fit.

C:

Serializable isolation prevents phantom/invariant anomalies with stronger locking and possible contention. But that technique does not solve the stated problem—An API saturates network bandwidth transporting unused large text columns. The needed intervention is Project only required columns and measure a covering index or columnstore fit.

D:

Target platform models determine which schema features are valid in the destination SQL version. But that technique does not solve the stated problem—An API saturates network bandwidth transporting unused large text columns. The needed intervention is Project only required columns and measure a covering index or columnstore fit.

Question 428

An API saturates network bandwidth transporting unused large text columns. What measurement or test best demonstrates that the requirement is satisfied?

  1. Estimated and actual row counts become more consistent and query latency improves.
  2. Concurrency tests complete with controlled retries and no unhandled deadlock failures.
  3. Logical reads and transferred bytes decrease while requested data stays correct.
  4. Inference attempts no longer expose sensitive results to unauthorized principals.

Explanation

Correct Answer

C:

Overfetching wastes IO and network capacity; targeted projection can allow lean index access. The observation “Logical reads and transferred bytes decrease while requested data stays correct” directly confirms the chosen action worked for this situation: An API saturates network bandwidth transporting unused large text columns.

Incorrect Answers

A:

Statistics guide cardinality estimation; stale distributions can cause inefficient joins and memory grants. This observation would not establish that the required result occurred for An API saturates network bandwidth transporting unused large text columns. The confirming test is: Logical reads and transferred bytes decrease while requested data stays correct.

B:

Deadlocks form cycles of lock dependencies; a victim rollback must be handled and root lock patterns improved. This observation would not establish that the required result occurred for An API saturates network bandwidth transporting unused large text columns. The confirming test is: Logical reads and transferred bytes decrease while requested data stays correct.

D:

DDM is a display feature, not a complete security boundary against statistical inference. This observation would not establish that the required result occurred for An API saturates network bandwidth transporting unused large text columns. The confirming test is: Logical reads and transferred bytes decrease while requested data stays correct.

Question 429

A SQL Server transaction log grows continuously after a failed nightly process. What is the most defensible next technical action?

  1. Inspect execution-plan estimates and update relevant statistics before proposing disruptive hints.
  2. Inspect current waits and blocking sessions via DMVs or supported monitoring tools.
  3. Inspect active transactions, log usage, and recovery/configuration conditions before resizing.
  4. Externalize secrets and environment values in a managed deployment and validate DAB config at each stage.

Explanation

Correct Answer

C:

Log capacity symptoms require diagnosis of transactions and truncation; blindly shrinking can recur. For the described situation—A SQL Server transaction log grows continuously after a failed nightly process—the targeted fix is Inspect active transactions, log usage, and recovery/configuration conditions before resizing. A successful test should show: The offending retention cause is resolved and log growth returns to expected levels.

Incorrect Answers

A:

Statistics guide cardinality estimation; stale distributions can cause inefficient joins and memory grants. But that technique does not solve the stated problem—A SQL Server transaction log grows continuously after a failed nightly process. The needed intervention is Inspect active transactions, log usage, and recovery/configuration conditions before resizing.

B:

DMVs expose current session/wait state; Query Store primarily provides historical query performance. But that technique does not solve the stated problem—A SQL Server transaction log grows continuously after a failed nightly process. The needed intervention is Inspect active transactions, log usage, and recovery/configuration conditions before resizing.

D:

DAB configuration must be deployed with environment-specific secure connections and validated schema mappings. But that technique does not solve the stated problem—A SQL Server transaction log grows continuously after a failed nightly process. The needed intervention is Inspect active transactions, log usage, and recovery/configuration conditions before resizing.

Question 430

A SQL Server transaction log grows continuously after a failed nightly process. Which result distinguishes a successful implementation from a cosmetic change?

  1. Failing requests recover within limits or surface errors without a retry amplification storm.
  2. The offending retention cause is resolved and log growth returns to expected levels.
  3. The spill disappears or decreases and the query meets latency targets without new regressions.
  4. The unexpected object or configuration is reported before any destructive deployment.

Explanation

Correct Answer

B:

Log capacity symptoms require diagnosis of transactions and truncation; blindly shrinking can recur. The observation “The offending retention cause is resolved and log growth returns to expected levels” directly confirms the chosen action worked for this situation: A SQL Server transaction log grows continuously after a failed nightly process.

Incorrect Answers

A:

Retry logic must be finite and targeted; uncontrolled retries worsen resource contention. This observation would not establish that the required result occurred for A SQL Server transaction log grows continuously after a failed nightly process. The confirming test is: The offending retention cause is resolved and log growth returns to expected levels.

C:

Tempdb spills indicate memory/workload mismatch and should be diagnosed from actual plans. This observation would not establish that the required result occurred for A SQL Server transaction log grows continuously after a failed nightly process. The confirming test is: The offending retention cause is resolved and log growth returns to expected levels.

D:

Schema drift occurs when deployed objects differ from version-controlled declarative models. This observation would not establish that the required result occurred for A SQL Server transaction log grows continuously after a failed nightly process. The confirming test is: The offending retention cause is resolved and log growth returns to expected levels.

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