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Microsoft DP-800 Practice Test 59

Question 580

At Brookfield Labs, an app team cannot tell which API call causes slow SQL. The observed constraint is: HTTP response latency is available but SQL dependency duration is missing. What operational condition would provide the earliest useful regression warning?

  1. Monitor trigger lag and duplicate processing
  2. Monitor procedure errors and API write attempts
  3. Monitor missing correlation and sampling errors
  4. Monitor config validation and service startup errors

Explanation

Correct Answer

C:

HTTP response latency is available but SQL dependency duration is missing. Monitor missing correlation and sampling errors.

Incorrect Answers

A:

“Monitor trigger lag and duplicate processing” concerns Polling entire table every minute is wasteful; the reported problem instead is HTTP response latency is available but SQL dependency duration is missing. Monitor missing correlation and sampling errors.

B:

“Monitor procedure errors and API write attempts” concerns Direct table insert bypasses business constraints; the reported problem instead is HTTP response latency is available but SQL dependency duration is missing. Monitor missing correlation and sampling errors.

D:

“Monitor config validation and service startup errors” concerns No configuration maps entities to SQL objects or runtime connections; the reported problem instead is HTTP response latency is available but SQL dependency duration is missing. Monitor missing correlation and sampling errors.

Question 581

A database engineer at Cascade Manufacturing is investigating this case: A data warehouse needs every committed change to selected order tables. The relevant finding is: Nightly full refresh misses interim state. What initial check best narrows the technical cause without altering business data?

  1. Inspect DAB configuration schema, source type and connection auth
  2. Inspect DAB relationships and entity naming
  3. Inspect whether client needs keys versus complete before/after images
  4. Inspect downstream latency and source CDC support

Explanation

Correct Answer

D:

Nightly full refresh misses interim state. Inspect downstream latency and source CDC support.

Incorrect Answers

A:

“Inspect DAB configuration schema, source type and connection auth” concerns No configuration maps entities to SQL objects or runtime connections; the reported problem instead is Nightly full refresh misses interim state. Inspect downstream latency and source CDC support.

B:

“Inspect DAB relationships and entity naming” concerns GraphQL schema lacks relationship mapping despite SQL foreign key; the reported problem instead is Nightly full refresh misses interim state. Inspect downstream latency and source CDC support.

C:

“Inspect whether client needs keys versus complete before/after images” concerns Full row-history logging is unnecessary; the reported problem instead is Nightly full refresh misses interim state. Inspect downstream latency and source CDC support.

Question 582

Clearwater Utilities is responsible for an Azure SQL or Microsoft SQL workload. A data warehouse needs every committed change to selected order tables. Operational evidence: Nightly full refresh misses interim state. Which proposed change is the most suitable response to the observed constraint?

  1. Instrument supported SQL dependencies and correlation identifiers
  2. Configure supported JWT authentication and scoped API roles
  3. Enable supported CDC with scoped capture instances
  4. Configure supported one-to-many GraphQL relationship between entities

Explanation

Correct Answer

C:

Nightly full refresh misses interim state. Enable supported CDC with scoped capture instances.

Incorrect Answers

A:

“Instrument supported SQL dependencies and correlation identifiers” concerns HTTP response latency is available but SQL dependency duration is missing; the reported problem instead is Nightly full refresh misses interim state. Enable supported CDC with scoped capture instances.

B:

“Configure supported JWT authentication and scoped API roles” concerns Anonymous API access bypasses identity checks; the reported problem instead is Nightly full refresh misses interim state. Enable supported CDC with scoped capture instances.

D:

“Configure supported one-to-many GraphQL relationship between entities” concerns GraphQL schema lacks relationship mapping despite SQL foreign key; the reported problem instead is Nightly full refresh misses interim state. Enable supported CDC with scoped capture instances.

Question 583

At Cedarbridge Health, a data warehouse needs every committed change to selected order tables. The observed constraint is: Nightly full refresh misses interim state. What isolated pilot would provide the strongest evidence before rollout?

  1. Modify a test catalog and request changes since known version
  2. Update sample status and follow test approval workflow
  3. Insert/update/delete synthetic rows and read captured changes
  4. Update a synthetic tracked row and observe function invocation

Explanation

Correct Answer

C:

Nightly full refresh misses interim state. Insert/update/delete synthetic rows and read captured changes.

Incorrect Answers

A:

“Modify a test catalog and request changes since known version” concerns Full row-history logging is unnecessary; the reported problem instead is Nightly full refresh misses interim state. Insert/update/delete synthetic rows and read captured changes.

B:

“Update sample status and follow test approval workflow” concerns One-off SQL triggers cannot safely call external systems; the reported problem instead is Nightly full refresh misses interim state. Insert/update/delete synthetic rows and read captured changes.

D:

“Update a synthetic tracked row and observe function invocation” concerns Polling entire table every minute is wasteful; the reported problem instead is Nightly full refresh misses interim state. Insert/update/delete synthetic rows and read captured changes.

Question 584

A database engineer at Ashwood Solutions is investigating this case: A data warehouse needs every committed change to selected order tables. The relevant finding is: Nightly full refresh misses interim state. Which acceptance result most directly demonstrates the requirement has been satisfied?

  1. Workflow receives correct state without blocking OLTP transaction
  2. One intended event is processed with idempotency controls
  3. Downstream receives committed changes in intended order
  4. Client receives changed keys and refreshes correct rows

Explanation

Correct Answer

C:

Nightly full refresh misses interim state. Downstream receives committed changes in intended order.

Incorrect Answers

A:

“Workflow receives correct state without blocking OLTP transaction” concerns One-off SQL triggers cannot safely call external systems; the reported problem instead is Nightly full refresh misses interim state. Downstream receives committed changes in intended order.

B:

“One intended event is processed with idempotency controls” concerns Polling entire table every minute is wasteful; the reported problem instead is Nightly full refresh misses interim state. Downstream receives committed changes in intended order.

D:

“Client receives changed keys and refreshes correct rows” concerns Full row-history logging is unnecessary; the reported problem instead is Nightly full refresh misses interim state. Downstream receives committed changes in intended order.

Question 585

Seabrook University is responsible for an Azure SQL or Microsoft SQL workload. A data warehouse needs every committed change to selected order tables. Operational evidence: Nightly full refresh misses interim state. What operational condition would provide the earliest useful regression warning?

  1. Monitor retention expiry and version gaps
  2. Monitor capture job lag and retention windows
  3. Monitor missing correlation and sampling errors
  4. Monitor trigger lag and duplicate processing

Explanation

Correct Answer

B:

Nightly full refresh misses interim state. Monitor capture job lag and retention windows.

Incorrect Answers

A:

“Monitor retention expiry and version gaps” concerns Full row-history logging is unnecessary; the reported problem instead is Nightly full refresh misses interim state. Monitor capture job lag and retention windows.

C:

“Monitor missing correlation and sampling errors” concerns HTTP response latency is available but SQL dependency duration is missing; the reported problem instead is Nightly full refresh misses interim state. Monitor capture job lag and retention windows.

D:

“Monitor trigger lag and duplicate processing” concerns Polling entire table every minute is wasteful; the reported problem instead is Nightly full refresh misses interim state. Monitor capture job lag and retention windows.

Question 586

At Atlas Publishing, mobile clients need to know which catalog keys changed. The observed constraint is: Full row-history logging is unnecessary. What initial check best narrows the technical cause without altering business data?

  1. Inspect downstream latency and source CDC support
  2. Inspect whether client needs keys versus complete before/after images
  3. Inspect supported SQL trigger binding and underlying change tracking
  4. Inspect Application Insights dependency instrumentation

Explanation

Correct Answer

B:

Full row-history logging is unnecessary. Inspect whether client needs keys versus complete before/after images.

Incorrect Answers

A:

“Inspect downstream latency and source CDC support” concerns Nightly full refresh misses interim state; the reported problem instead is Full row-history logging is unnecessary. Inspect whether client needs keys versus complete before/after images.

C:

“Inspect supported SQL trigger binding and underlying change tracking” concerns Polling entire table every minute is wasteful; the reported problem instead is Full row-history logging is unnecessary. Inspect whether client needs keys versus complete before/after images.

D:

“Inspect Application Insights dependency instrumentation” concerns HTTP response latency is available but SQL dependency duration is missing; the reported problem instead is Full row-history logging is unnecessary. Inspect whether client needs keys versus complete before/after images.

Question 587

A database engineer at Mountainview Realty is investigating this case: Mobile clients need to know which catalog keys changed. The relevant finding is: Full row-history logging is unnecessary. Which proposed change is the most suitable response to the observed constraint?

  1. Configure supported Azure Functions SQL trigger binding with least privilege
  2. Use SQL Change Tracking with version tokens and consistent sync snapshots
  3. Instrument supported SQL dependencies and correlation identifiers
  4. Use an approved SQL change feed connected to Logic Apps

Explanation

Correct Answer

B:

Full row-history logging is unnecessary. Use SQL Change Tracking with version tokens and consistent sync snapshots.

Incorrect Answers

A:

“Configure supported Azure Functions SQL trigger binding with least privilege” concerns Polling entire table every minute is wasteful; the reported problem instead is Full row-history logging is unnecessary. Use SQL Change Tracking with version tokens and consistent sync snapshots.

C:

“Instrument supported SQL dependencies and correlation identifiers” concerns HTTP response latency is available but SQL dependency duration is missing; the reported problem instead is Full row-history logging is unnecessary. Use SQL Change Tracking with version tokens and consistent sync snapshots.

D:

“Use an approved SQL change feed connected to Logic Apps” concerns One-off SQL triggers cannot safely call external systems; the reported problem instead is Full row-history logging is unnecessary. Use SQL Change Tracking with version tokens and consistent sync snapshots.

Question 588

Willow Creek Finance is responsible for an Azure SQL or Microsoft SQL workload. Mobile clients need to know which catalog keys changed. Operational evidence: Full row-history logging is unnecessary. What isolated pilot would provide the strongest evidence before rollout?

  1. Run mock API request invoking deliberate slow SQL
  2. Modify a test catalog and request changes since known version
  3. Insert/update/delete synthetic rows and read captured changes
  4. Request successive pages from a synthetic large dataset

Explanation

Correct Answer

B:

Full row-history logging is unnecessary. Modify a test catalog and request changes since known version.

Incorrect Answers

A:

“Run mock API request invoking deliberate slow SQL” concerns HTTP response latency is available but SQL dependency duration is missing; the reported problem instead is Full row-history logging is unnecessary. Modify a test catalog and request changes since known version.

C:

“Insert/update/delete synthetic rows and read captured changes” concerns Nightly full refresh misses interim state; the reported problem instead is Full row-history logging is unnecessary. Modify a test catalog and request changes since known version.

D:

“Request successive pages from a synthetic large dataset” concerns Unbounded pages risk resource exhaustion; the reported problem instead is Full row-history logging is unnecessary. Modify a test catalog and request changes since known version.

Question 589

At Granite Ridge Technology, mobile clients need to know which catalog keys changed. The observed constraint is: Full row-history logging is unnecessary. Which acceptance result most directly demonstrates the requirement has been satisfied?

  1. Workflow receives correct state without blocking OLTP transaction
  2. The downstream receives committed changes in intended order
  3. One intended event is processed with idempotency controls
  4. Client receives changed keys and refreshes correct rows

Explanation

Correct Answer

D:

Full row-history logging is unnecessary. Client receives changed keys and refreshes correct rows.

Incorrect Answers

A:

“Workflow receives correct state without blocking OLTP transaction” concerns One-off SQL triggers cannot safely call external systems; the reported problem instead is Full row-history logging is unnecessary. Client receives changed keys and refreshes correct rows.

B:

“The downstream receives committed changes in intended order” addresses the sql cdc downstream feed situation—nightly full refresh misses interim state. The observed failure is: Full row-history logging is unnecessary. Client receives changed keys and refreshes correct rows.

C:

“One intended event is processed with idempotency controls” concerns Polling entire table every minute is wasteful; the reported problem instead is Full row-history logging is unnecessary. Client receives changed keys and refreshes correct rows.

Question 590

A database engineer at Pinecrest Operations is investigating this case: Mobile clients need to know which catalog keys changed. The relevant finding is: Full row-history logging is unnecessary. What operational condition would provide the earliest useful regression warning?

  1. Track trigger lag and duplicate processing
  2. Monitor retention expiry and version gaps
  3. Monitor missing correlation and sampling errors
  4. Monitor capture job lag and retention windows

Explanation

Correct Answer

B:

Full row-history logging is unnecessary. Monitor retention expiry and version gaps.

Incorrect Answers

A:

“Track trigger lag and duplicate processing” addresses the azure functions sql trigger binding situation—polling entire table every minute is wasteful. The observed failure is: Full row-history logging is unnecessary. Monitor retention expiry and version gaps.

C:

“Monitor missing correlation and sampling errors” concerns HTTP response latency is available but SQL dependency duration is missing; the reported problem instead is Full row-history logging is unnecessary. Monitor retention expiry and version gaps.

D:

“Monitor capture job lag and retention windows” concerns Nightly full refresh misses interim state; the reported problem instead is Full row-history logging is unnecessary. Monitor retention expiry and version gaps.

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