Microsoft DP-800 Practice Test 14
Question 130
At Brookfield Labs, an UPDATE trigger logs each modified row incorrectly when batches contain many rows. The observed constraint is: Trigger was written assuming a single row in inserted. What operational condition would provide the earliest useful regression warning?
- Monitor nested trigger failures and recursion errors
- Monitor parameter sensitivity and function regressions
- Monitor batch size and lock duration
- Monitor trigger duration and log growth
Explanation
Correct Answer
D:
Trigger was written assuming a single row in inserted. Monitor trigger duration and log growth. INSERTED and DELETED may hold many affected rows. Set-based joins over those pseudo-tables handle multi-row UPDATE/INSERT operations correctly.
Incorrect Answers
A:
“Monitor nested trigger failures and recursion errors” concerns Unexpected recursive firing causes repeated work; the reported problem instead is Trigger was written assuming a single row in inserted. Monitor trigger duration and log growth. INSERTED and DELETED may hold many affected rows. Set-based joins over those pseudo-tables handle multi-row UPDATE/INSERT operations correctly.
B:
“Monitor parameter sensitivity and function regressions” concerns A multi-statement function performs slow intermediate table processing; the reported problem instead is Trigger was written assuming a single row in inserted. Monitor trigger duration and log growth. INSERTED and DELETED may hold many affected rows. Set-based joins over those pseudo-tables handle multi-row UPDATE/INSERT operations correctly.
C:
“Monitor batch size and lock duration” concerns Network round trips dominate request time; the reported problem instead is Trigger was written assuming a single row in inserted. Monitor trigger duration and log growth. INSERTED and DELETED may hold many affected rows. Set-based joins over those pseudo-tables handle multi-row UPDATE/INSERT operations correctly.
Question 131
A database engineer at Cascade Manufacturing is investigating this case: A production report breaks when a referenced base table column is dropped. The relevant finding is: The view depends on an unstable schema. What initial check best narrows the technical cause without altering business data?
- Inventory required columns and view ownership/security expectations
- Inspect nesting settings and trigger side effects
- Inspect estimates and cardinality for the current function
- Inspect view dependencies and required deployment controls
Explanation
Correct Answer
D:
The view depends on an unstable schema. Inspect view dependencies and required deployment controls. A view references dependent objects, so changes to its schema or columns may break consumers. Dependency inspection and controlled deployment reduce unexpected failures.
Incorrect Answers
A:
“Inventory required columns and view ownership/security expectations” concerns Direct SELECT on base table exposes extra fields; the reported problem instead is The view depends on an unstable schema. Inspect view dependencies and required deployment controls. A view references dependent objects, so changes to its schema or columns may break consumers. Dependency inspection and controlled deployment reduce unexpected failures.
B:
“Inspect nesting settings and trigger side effects” concerns Unexpected recursive firing causes repeated work; the reported problem instead is The view depends on an unstable schema. Inspect view dependencies and required deployment controls. A view references dependent objects, so changes to its schema or columns may break consumers. Dependency inspection and controlled deployment reduce unexpected failures.
C:
“Inspect estimates and cardinality for the current function” concerns A multi-statement function performs slow intermediate table processing; the reported problem instead is The view depends on an unstable schema. Inspect view dependencies and required deployment controls. A view references dependent objects, so changes to its schema or columns may break consumers. Dependency inspection and controlled deployment reduce unexpected failures.
Question 132
Clearwater Utilities is responsible for an Azure SQL or Microsoft SQL workload. A production report breaks when a referenced base table column is dropped. Operational evidence: The view depends on an unstable schema. Which proposed change is the most suitable response to the observed constraint?
- Consider SCHEMABINDING where supported plus migration compatibility tests
- Avoid self-updating trigger design or add explicit guards as appropriate
- Define a view exposing only the approved columns and row predicate
- Accept a user-defined table type as a table-valued parameter where supported
Explanation
Correct Answer
A:
The view depends on an unstable schema. Consider SCHEMABINDING where supported plus migration compatibility tests. A view references dependent objects, so changes to its schema or columns may break consumers. Dependency inspection and controlled deployment reduce unexpected failures.
Incorrect Answers
B:
“Avoid self-updating trigger design or add explicit guards as appropriate” concerns Unexpected recursive firing causes repeated work; the reported problem instead is The view depends on an unstable schema. Consider SCHEMABINDING where supported plus migration compatibility tests. A view references dependent objects, so changes to its schema or columns may break consumers. Dependency inspection and controlled deployment reduce unexpected failures.
C:
“Define a view exposing only the approved columns and row predicate” concerns Direct SELECT on base table exposes extra fields; the reported problem instead is The view depends on an unstable schema. Consider SCHEMABINDING where supported plus migration compatibility tests. A view references dependent objects, so changes to its schema or columns may break consumers. Dependency inspection and controlled deployment reduce unexpected failures.
D:
“Accept a user-defined table type as a table-valued parameter where supported” concerns Network round trips dominate request time; the reported problem instead is The view depends on an unstable schema. Consider SCHEMABINDING where supported plus migration compatibility tests. A view references dependent objects, so changes to its schema or columns may break consumers. Dependency inspection and controlled deployment reduce unexpected failures.
Question 133
At Cedarbridge Health, a production report breaks when a referenced base table column is dropped. The observed constraint is: The view depends on an unstable schema. What isolated pilot would provide the strongest evidence before rollout?
- Exercise a controlled update in a test database
- Query the view using a low-privileged test account
- Attempt a controlled breaking schema change in a test project
- Call procedure with test values and capture declared outputs
Explanation
Correct Answer
C:
The view depends on an unstable schema. Attempt a controlled breaking schema change in a test project. A view references dependent objects, so changes to its schema or columns may break consumers. Dependency inspection and controlled deployment reduce unexpected failures.
Incorrect Answers
A:
“Exercise a controlled update in a test database” concerns Unexpected recursive firing causes repeated work; the reported problem instead is The view depends on an unstable schema. Attempt a controlled breaking schema change in a test project. A view references dependent objects, so changes to its schema or columns may break consumers. Dependency inspection and controlled deployment reduce unexpected failures.
B:
“Query the view using a low-privileged test account” concerns Direct SELECT on base table exposes extra fields; the reported problem instead is The view depends on an unstable schema. Attempt a controlled breaking schema change in a test project. A view references dependent objects, so changes to its schema or columns may break consumers. Dependency inspection and controlled deployment reduce unexpected failures.
D:
“Call procedure with test values and capture declared outputs” concerns Client parses messages rather than explicit output fields; the reported problem instead is The view depends on an unstable schema. Attempt a controlled breaking schema change in a test project. A view references dependent objects, so changes to its schema or columns may break consumers. Dependency inspection and controlled deployment reduce unexpected failures.
Question 134
A database engineer at Ashwood Solutions is investigating this case: A production report breaks when a referenced base table column is dropped. The relevant finding is: The view depends on an unstable schema. Which acceptance result most directly demonstrates the requirement has been satisfied?
- Results match allowed fields and unauthorized columns remain inaccessible
- An incompatible change is blocked or caught before release
- The operation terminates once without duplicate side effects
- Batch updates match expected rows with fewer round trips
Explanation
Correct Answer
B:
The view depends on an unstable schema. An incompatible change is blocked or caught before release. A view references dependent objects, so changes to its schema or columns may break consumers. Dependency inspection and controlled deployment reduce unexpected failures.
Incorrect Answers
A:
“Results match allowed fields and unauthorized columns remain inaccessible” concerns Direct SELECT on base table exposes extra fields; the reported problem instead is The view depends on an unstable schema. An incompatible change is blocked or caught before release. A view references dependent objects, so changes to its schema or columns may break consumers. Dependency inspection and controlled deployment reduce unexpected failures.
C:
“The operation terminates once without duplicate side effects” concerns Unexpected recursive firing causes repeated work; the reported problem instead is The view depends on an unstable schema. An incompatible change is blocked or caught before release. A view references dependent objects, so changes to its schema or columns may break consumers. Dependency inspection and controlled deployment reduce unexpected failures.
D:
“Batch updates match expected rows with fewer round trips” concerns Network round trips dominate request time; the reported problem instead is The view depends on an unstable schema. An incompatible change is blocked or caught before release. A view references dependent objects, so changes to its schema or columns may break consumers. Dependency inspection and controlled deployment reduce unexpected failures.
Question 135
Seabrook University is responsible for an Azure SQL or Microsoft SQL workload. A production report breaks when a referenced base table column is dropped. Operational evidence: The view depends on an unstable schema. What operational condition would provide the earliest useful regression warning?
- Monitor trigger duration and log growth
- Monitor procedure version compatibility and failures
- Monitor broken dependencies after deployment
- Monitor underlying schema changes that break the view
Explanation
Correct Answer
C:
The view depends on an unstable schema. Monitor broken dependencies after deployment. A view references dependent objects, so changes to its schema or columns may break consumers. Dependency inspection and controlled deployment reduce unexpected failures.
Incorrect Answers
A:
“Monitor trigger duration and log growth” concerns Trigger was written assuming a single row in inserted; the reported problem instead is The view depends on an unstable schema. Monitor broken dependencies after deployment. A view references dependent objects, so changes to its schema or columns may break consumers. Dependency inspection and controlled deployment reduce unexpected failures.
B:
“Monitor procedure version compatibility and failures” concerns Client parses messages rather than explicit output fields; the reported problem instead is The view depends on an unstable schema. Monitor broken dependencies after deployment. A view references dependent objects, so changes to its schema or columns may break consumers. Dependency inspection and controlled deployment reduce unexpected failures.
D:
“Monitor underlying schema changes that break the view” concerns Direct SELECT on base table exposes extra fields; the reported problem instead is The view depends on an unstable schema. Monitor broken dependencies after deployment. A view references dependent objects, so changes to its schema or columns may break consumers. Dependency inspection and controlled deployment reduce unexpected failures.
Question 136
At Atlas Publishing, a batch caller must receive inserted row IDs and status from SQL. The observed constraint is: Client parses messages rather than explicit output fields. What initial check best narrows the technical cause without altering business data?
- Inspect batch size and target procedure interface
- Inspect estimates and cardinality for the current function
- Inventory required columns and view ownership/security expectations
- Inspect procedure signatures and caller expectations
Explanation
Correct Answer
D:
Client parses messages rather than explicit output fields. Inspect procedure signatures and caller expectations. Stored-procedure output parameters or result sets provide a stable machine-readable contract; parsing informational messages is fragile and version-sensitive.
Incorrect Answers
A:
“Inspect batch size and target procedure interface” concerns Network round trips dominate request time; the reported problem instead is Client parses messages rather than explicit output fields. Inspect procedure signatures and caller expectations. Stored-procedure output parameters or result sets provide a stable machine-readable contract; parsing informational messages is fragile and version-sensitive.
B:
“Inspect estimates and cardinality for the current function” concerns A multi-statement function performs slow intermediate table processing; the reported problem instead is Client parses messages rather than explicit output fields. Inspect procedure signatures and caller expectations. Stored-procedure output parameters or result sets provide a stable machine-readable contract; parsing informational messages is fragile and version-sensitive.
C:
“Inventory required columns and view ownership/security expectations” concerns Direct SELECT on base table exposes extra fields; the reported problem instead is Client parses messages rather than explicit output fields. Inspect procedure signatures and caller expectations. Stored-procedure output parameters or result sets provide a stable machine-readable contract; parsing informational messages is fragile and version-sensitive.
Question 137
A database engineer at Mountainview Realty is investigating this case: A batch caller must receive inserted row IDs and status from SQL. The relevant finding is: Client parses messages rather than explicit output fields. Which proposed change is the most suitable response to the observed constraint?
- Return a stable output parameter or resultset contract
- Define a view exposing only the approved columns and row predicate
- Avoid self-updating trigger design or add explicit guards as appropriate
- Accept a user-defined table type as a table-valued parameter where supported
Explanation
Correct Answer
A:
Client parses messages rather than explicit output fields. Return a stable output parameter or resultset contract. Stored-procedure output parameters or result sets provide a stable machine-readable contract; parsing informational messages is fragile and version-sensitive.
Incorrect Answers
B:
“Define a view exposing only the approved columns and row predicate” concerns Direct SELECT on base table exposes extra fields; the reported problem instead is Client parses messages rather than explicit output fields. Return a stable output parameter or resultset contract. Stored-procedure output parameters or result sets provide a stable machine-readable contract; parsing informational messages is fragile and version-sensitive.
C:
“Avoid self-updating trigger design or add explicit guards as appropriate” concerns Unexpected recursive firing causes repeated work; the reported problem instead is Client parses messages rather than explicit output fields. Return a stable output parameter or resultset contract. Stored-procedure output parameters or result sets provide a stable machine-readable contract; parsing informational messages is fragile and version-sensitive.
D:
“Accept a user-defined table type as a table-valued parameter where supported” concerns Network round trips dominate request time; the reported problem instead is Client parses messages rather than explicit output fields. Return a stable output parameter or resultset contract. Stored-procedure output parameters or result sets provide a stable machine-readable contract; parsing informational messages is fragile and version-sensitive.
Question 138
Willow Creek Finance is responsible for an Azure SQL or Microsoft SQL workload. A batch caller must receive inserted row IDs and status from SQL. Operational evidence: Client parses messages rather than explicit output fields. What isolated pilot would provide the strongest evidence before rollout?
- Exercise a controlled update in a test database
- Try a controlled breaking schema change in a test project
- Query the view using a low-privileged test account
- Call procedure with test values and capture declared outputs
Explanation
Correct Answer
D:
Client parses messages rather than explicit output fields. Call procedure with test values and capture declared outputs. Stored-procedure output parameters or result sets provide a stable machine-readable contract; parsing informational messages is fragile and version-sensitive.
Incorrect Answers
A:
“Exercise a controlled update in a test database” concerns Unexpected recursive firing causes repeated work; the reported problem instead is Client parses messages rather than explicit output fields. Call procedure with test values and capture declared outputs. Stored-procedure output parameters or result sets provide a stable machine-readable contract; parsing informational messages is fragile and version-sensitive.
B:
“Try a controlled breaking schema change in a test project” addresses the view schema binding situation—the view depends on an unstable schema. The observed failure is: Client parses messages rather than explicit output fields. Call procedure with test values and capture declared outputs. Stored-procedure output parameters or result sets provide a stable machine-readable contract; parsing informational messages is fragile and version-sensitive.
C:
“Query the view using a low-privileged test account” concerns Direct SELECT on base table exposes extra fields; the reported problem instead is Client parses messages rather than explicit output fields. Call procedure with test values and capture declared outputs. Stored-procedure output parameters or result sets provide a stable machine-readable contract; parsing informational messages is fragile and version-sensitive.
Question 139
At Granite Ridge Technology, a batch caller must receive inserted row IDs and status from SQL. The observed constraint is: Client parses messages rather than explicit output fields. Which acceptance result most directly demonstrates the requirement has been satisfied?
- The operation terminates once without duplicate side effects
- Results match allowed fields and unauthorized columns remain inaccessible
- Caller reads expected ID/status without parsing print text
- Batch updates match expected rows with fewer round trips
Explanation
Correct Answer
C:
Client parses messages rather than explicit output fields. Caller reads expected ID/status without parsing print text. Stored-procedure output parameters or result sets provide a stable machine-readable contract; parsing informational messages is fragile and version-sensitive.
Incorrect Answers
A:
“The operation terminates once without duplicate side effects” concerns Unexpected recursive firing causes repeated work; the reported problem instead is Client parses messages rather than explicit output fields. Caller reads expected ID/status without parsing print text. Stored-procedure output parameters or result sets provide a stable machine-readable contract; parsing informational messages is fragile and version-sensitive.
B:
“Results match allowed fields and unauthorized columns remain inaccessible” concerns Direct SELECT on base table exposes extra fields; the reported problem instead is Client parses messages rather than explicit output fields. Caller reads expected ID/status without parsing print text. Stored-procedure output parameters or result sets provide a stable machine-readable contract; parsing informational messages is fragile and version-sensitive.
D:
“Batch updates match expected rows with fewer round trips” concerns Network round trips dominate request time; the reported problem instead is Client parses messages rather than explicit output fields. Caller reads expected ID/status without parsing print text. Stored-procedure output parameters or result sets provide a stable machine-readable contract; parsing informational messages is fragile and version-sensitive.
Question 140
A database engineer at Pinecrest Operations is investigating this case: A batch caller must receive inserted row IDs and status from SQL. The relevant finding is: Client parses messages rather than explicit output fields. What operational condition would provide the earliest useful regression warning?
- Monitor unsafe dynamic SQL and execution failures
- Monitor nested trigger failures and recursion errors
- Monitor underlying schema changes that break the view
- Monitor procedure version compatibility and failures
Explanation
Correct Answer
D:
Client parses messages rather than explicit output fields. Monitor procedure version compatibility and failures. Stored-procedure output parameters or result sets provide a stable machine-readable contract; parsing informational messages is fragile and version-sensitive.
Incorrect Answers
A:
“Monitor unsafe dynamic SQL and execution failures” concerns Unsafe concatenation risks SQL injection; the reported problem instead is Client parses messages rather than explicit output fields. Monitor procedure version compatibility and failures. Stored-procedure output parameters or result sets provide a stable machine-readable contract; parsing informational messages is fragile and version-sensitive.
B:
“Monitor nested trigger failures and recursion errors” concerns Unexpected recursive firing causes repeated work; the reported problem instead is Client parses messages rather than explicit output fields. Monitor procedure version compatibility and failures. Stored-procedure output parameters or result sets provide a stable machine-readable contract; parsing informational messages is fragile and version-sensitive.
C:
“Monitor underlying schema changes that break the view” concerns Direct SELECT on base table exposes extra fields; the reported problem instead is Client parses messages rather than explicit output fields. Monitor procedure version compatibility and failures. Stored-procedure output parameters or result sets provide a stable machine-readable contract; parsing informational messages is fragile and version-sensitive.
