Microsoft DP-800 Practice Test 15
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.
Question 141
Marigold Banking is responsible for an Azure SQL or Microsoft SQL workload. An ingestion service sends hundreds of row updates individually. Operational evidence: Network round trips dominate request time. What initial check best narrows the technical cause without altering business data?
- Inspect batch size and target procedure interface
- Inspect procedure signatures and caller expectations
- Inspect nesting settings and trigger side effects
- Inspect estimates and cardinality for the current function
Explanation
Correct Answer
A:
Network round trips dominate request time. Inspect batch size and target procedure interface. A table-valued parameter sends a collection of rows in one procedure call, reducing repeated network round trips and keeping set-based database processing.
Incorrect Answers
B:
“Inspect procedure signatures and caller expectations” concerns Client parses messages rather than explicit output fields; the reported problem instead is Network round trips dominate request time. Inspect batch size and target procedure interface. A table-valued parameter sends a collection of rows in one procedure call, reducing repeated network round trips and keeping set-based database processing.
C:
“Inspect nesting settings and trigger side effects” concerns Unexpected recursive firing causes repeated work; the reported problem instead is Network round trips dominate request time. Inspect batch size and target procedure interface. A table-valued parameter sends a collection of rows in one procedure call, reducing repeated network round trips and keeping set-based database processing.
D:
“Inspect estimates and cardinality for the current function” concerns A multi-statement function performs slow intermediate table processing; the reported problem instead is Network round trips dominate request time. Inspect batch size and target procedure interface. A table-valued parameter sends a collection of rows in one procedure call, reducing repeated network round trips and keeping set-based database processing.
Question 142
At Riverbend Retail, an ingestion service sends hundreds of row updates individually. The observed constraint is: Network round trips dominate request time. Which proposed change is the most suitable response to the observed constraint?
- Rewrite suitable logic as an inline table-valued function
- Accept a user-defined table type as a table-valued parameter where supported
- Return a stable output parameter or resultset contract
- Consider SCHEMABINDING where supported plus migration compatibility tests
Explanation
Correct Answer
B:
Network round trips dominate request time. Accept a user-defined table type as a table-valued parameter where supported. A table-valued parameter sends a collection of rows in one procedure call, reducing repeated network round trips and keeping set-based database processing.
Incorrect Answers
A:
“Rewrite suitable logic as an inline table-valued function” concerns A multi-statement function performs slow intermediate table processing; the reported problem instead is Network round trips dominate request time. Accept a user-defined table type as a table-valued parameter where supported. A table-valued parameter sends a collection of rows in one procedure call, reducing repeated network round trips and keeping set-based database processing.
C:
“Return a stable output parameter or resultset contract” concerns Client parses messages rather than explicit output fields; the reported problem instead is Network round trips dominate request time. Accept a user-defined table type as a table-valued parameter where supported. A table-valued parameter sends a collection of rows in one procedure call, reducing repeated network round trips and keeping set-based database processing.
D:
“Consider SCHEMABINDING where supported plus migration compatibility tests” concerns The view depends on an unstable schema; the reported problem instead is Network round trips dominate request time. Accept a user-defined table type as a table-valued parameter where supported. A table-valued parameter sends a collection of rows in one procedure call, reducing repeated network round trips and keeping set-based database processing.
Question 143
A database engineer at Prairie Logistics is investigating this case: An ingestion service sends hundreds of row updates individually. The relevant finding is: Network round trips dominate request time. What isolated pilot would provide the strongest evidence before rollout?
- Compare test execution plans under small and large parameter sets
- Update multiple synthetic rows in a single statement
- Exercise a controlled update in a test database
- Pass a synthetic batch and compare with individual calls
Explanation
Correct Answer
D:
Network round trips dominate request time. Pass a synthetic batch and compare with individual calls. A table-valued parameter sends a collection of rows in one procedure call, reducing repeated network round trips and keeping set-based database processing.
Incorrect Answers
A:
“Compare test execution plans under small and large parameter sets” concerns A multi-statement function performs slow intermediate table processing; the reported problem instead is Network round trips dominate request time. Pass a synthetic batch and compare with individual calls. A table-valued parameter sends a collection of rows in one procedure call, reducing repeated network round trips and keeping set-based database processing.
B:
“Update multiple synthetic rows in a single statement” concerns Trigger was written assuming a single row in inserted; the reported problem instead is Network round trips dominate request time. Pass a synthetic batch and compare with individual calls. A table-valued parameter sends a collection of rows in one procedure call, reducing repeated network round trips and keeping set-based database processing.
C:
“Exercise a controlled update in a test database” concerns Unexpected recursive firing causes repeated work; the reported problem instead is Network round trips dominate request time. Pass a synthetic batch and compare with individual calls. A table-valued parameter sends a collection of rows in one procedure call, reducing repeated network round trips and keeping set-based database processing.
Question 144
Silverpine Labs is responsible for an Azure SQL or Microsoft SQL workload. An ingestion service sends hundreds of row updates individually. Operational evidence: Network round trips dominate request time. Which acceptance result most directly demonstrates the requirement has been satisfied?
- Inputs remain data and only intended rows are accessed
- Batch updates match expected rows with fewer round trips
- Results match and plan avoids unnecessary function overhead
- Correct rows return with more accurate plan estimates
Explanation
Correct Answer
B:
Network round trips dominate request time. Batch updates match expected rows with fewer round trips. A table-valued parameter sends a collection of rows in one procedure call, reducing repeated network round trips and keeping set-based database processing.
Incorrect Answers
A:
“Inputs remain data and only intended rows are accessed” concerns Unsafe concatenation risks SQL injection; the reported problem instead is Network round trips dominate request time. Batch updates match expected rows with fewer round trips. A table-valued parameter sends a collection of rows in one procedure call, reducing repeated network round trips and keeping set-based database processing.
C:
“Results match and plan avoids unnecessary function overhead” concerns Row-by-row scalar execution can hurt throughput; the reported problem instead is Network round trips dominate request time. Batch updates match expected rows with fewer round trips. A table-valued parameter sends a collection of rows in one procedure call, reducing repeated network round trips and keeping set-based database processing.
D:
“Correct rows return with more accurate plan estimates” concerns A multi-statement function performs slow intermediate table processing; the reported problem instead is Network round trips dominate request time. Batch updates match expected rows with fewer round trips. A table-valued parameter sends a collection of rows in one procedure call, reducing repeated network round trips and keeping set-based database processing.
Question 145
At Briarfield Foods, an ingestion service sends hundreds of row updates individually. The observed constraint is: Network round trips dominate request time. What operational condition would provide the earliest useful regression warning?
- Monitor broken dependencies after deployment
- Monitor procedure version compatibility and failures
- Monitor batch size and lock duration
- Monitor trigger duration and log growth
Explanation
Correct Answer
C:
Network round trips dominate request time. Monitor batch size and lock duration. A table-valued parameter sends a collection of rows in one procedure call, reducing repeated network round trips and keeping set-based database processing.
Incorrect Answers
A:
“Monitor broken dependencies after deployment” concerns The view depends on an unstable schema; the reported problem instead is Network round trips dominate request time. Monitor batch size and lock duration. A table-valued parameter sends a collection of rows in one procedure call, reducing repeated network round trips and keeping set-based database processing.
B:
“Monitor procedure version compatibility and failures” concerns Client parses messages rather than explicit output fields; the reported problem instead is Network round trips dominate request time. Monitor batch size and lock duration. A table-valued parameter sends a collection of rows in one procedure call, reducing repeated network round trips and keeping set-based database processing.
D:
“Monitor trigger duration and log growth” concerns Trigger was written assuming a single row in inserted; the reported problem instead is Network round trips dominate request time. Monitor batch size and lock duration. A table-valued parameter sends a collection of rows in one procedure call, reducing repeated network round trips and keeping set-based database processing.
Question 146
A database engineer at Northstar Analytics is investigating this case: A trigger updates the same table that fires it. The relevant finding is: Unexpected recursive firing causes repeated work. What initial check best narrows the technical cause without altering business data?
- Review estimates and cardinality for the current function
- Inspect trigger use of inserted and deleted sets
- Inspect nesting settings and trigger side effects
- Inspect procedure signatures and caller expectations
Explanation
Correct Answer
C:
Unexpected recursive firing causes repeated work. Inspect nesting settings and trigger side effects. A trigger that writes back into its source table may fire again under allowed nesting. Check recursion settings and ensure its logic is idempotent.
Incorrect Answers
A:
“Review estimates and cardinality for the current function” addresses the inline table-valued function situation—a multi-statement function performs slow intermediate table processing. The observed failure is: Unexpected recursive firing causes repeated work. Inspect nesting settings and trigger side effects. A trigger that writes back into its source table may fire again under allowed nesting. Check recursion settings and ensure its logic is idempotent.
B:
“Inspect trigger use of inserted and deleted sets” concerns Trigger was written assuming a single row in inserted; the reported problem instead is Unexpected recursive firing causes repeated work. Inspect nesting settings and trigger side effects. A trigger that writes back into its source table may fire again under allowed nesting. Check recursion settings and ensure its logic is idempotent.
D:
“Inspect procedure signatures and caller expectations” concerns Client parses messages rather than explicit output fields; the reported problem instead is Unexpected recursive firing causes repeated work. Inspect nesting settings and trigger side effects. A trigger that writes back into its source table may fire again under allowed nesting. Check recursion settings and ensure its logic is idempotent.
Question 147
Maple Harbor Research is responsible for an Azure SQL or Microsoft SQL workload. A trigger updates the same table that fires it. Operational evidence: Unexpected recursive firing causes repeated work. Which proposed change is the most suitable response to the observed constraint?
- Accept a user-defined table type as a table-valued parameter where supported
- Rewrite trigger logic as set-based operations over inserted and deleted
- Avoid self-updating trigger design or add explicit guards as appropriate
- Return a stable output parameter or resultset contract
Explanation
Correct Answer
C:
Unexpected recursive firing causes repeated work. Avoid self-updating trigger design or add explicit guards as appropriate. A trigger that writes back into its source table may fire again under allowed nesting. Check recursion settings and ensure its logic is idempotent.
Incorrect Answers
A:
“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 Unexpected recursive firing causes repeated work. Avoid self-updating trigger design or add explicit guards as appropriate. A trigger that writes back into its source table may fire again under allowed nesting. Check recursion settings and ensure its logic is idempotent.
B:
“Rewrite trigger logic as set-based operations over inserted and deleted” concerns Trigger was written assuming a single row in inserted; the reported problem instead is Unexpected recursive firing causes repeated work. Avoid self-updating trigger design or add explicit guards as appropriate. A trigger that writes back into its source table may fire again under allowed nesting. Check recursion settings and ensure its logic is idempotent.
D:
“Return a stable output parameter or resultset contract” concerns Client parses messages rather than explicit output fields; the reported problem instead is Unexpected recursive firing causes repeated work. Avoid self-updating trigger design or add explicit guards as appropriate. A trigger that writes back into its source table may fire again under allowed nesting. Check recursion settings and ensure its logic is idempotent.
Question 148
At Juniper Commerce, a trigger updates the same table that fires it. The observed constraint is: Unexpected recursive firing causes repeated work. What isolated pilot would provide the strongest evidence before rollout?
- Update multiple synthetic rows in a single statement
- Induce an error after the first update in a disposable database
- Attempt a controlled breaking schema change in a test project
- Exercise a controlled update in a test database
Explanation
Correct Answer
D:
Unexpected recursive firing causes repeated work. Exercise a controlled update in a test database. A trigger that writes back into its source table may fire again under allowed nesting. Check recursion settings and ensure its logic is idempotent.
Incorrect Answers
A:
“Update multiple synthetic rows in a single statement” concerns Trigger was written assuming a single row in inserted; the reported problem instead is Unexpected recursive firing causes repeated work. Exercise a controlled update in a test database. A trigger that writes back into its source table may fire again under allowed nesting. Check recursion settings and ensure its logic is idempotent.
B:
“Induce an error after the first update in a disposable database” concerns Partial updates violate business invariants; the reported problem instead is Unexpected recursive firing causes repeated work. Exercise a controlled update in a test database. A trigger that writes back into its source table may fire again under allowed nesting. Check recursion settings and ensure its logic is idempotent.
C:
“Attempt a controlled breaking schema change in a test project” concerns The view depends on an unstable schema; the reported problem instead is Unexpected recursive firing causes repeated work. Exercise a controlled update in a test database. A trigger that writes back into its source table may fire again under allowed nesting. Check recursion settings and ensure its logic is idempotent.
Question 149
A database engineer at Summit Logistics is investigating this case: A trigger updates the same table that fires it. The relevant finding is: Unexpected recursive firing causes repeated work. Which acceptance result most directly demonstrates the requirement has been satisfied?
- The operation terminates once without duplicate side effects
- Batch updates affect the intended rows while requiring fewer round trips
- Caller reads expected ID/status without parsing print text
- Neither side changes when the operation fails
Explanation
Correct Answer
A:
Unexpected recursive firing causes repeated work. The operation terminates once without duplicate side effects. A trigger that writes back into its source table may fire again under allowed nesting. Check recursion settings and ensure its logic is idempotent.
Incorrect Answers
B:
“Batch updates affect the intended rows while requiring fewer round trips” addresses the table-valued parameter batches situation—network round trips dominate request time. The observed failure is: Unexpected recursive firing causes repeated work. The operation terminates once without duplicate side effects. A trigger that writes back into its source table may fire again under allowed nesting. Check recursion settings and ensure its logic is idempotent.
C:
“Caller reads expected ID/status without parsing print text” concerns Client parses messages rather than explicit output fields; the reported problem instead is Unexpected recursive firing causes repeated work. The operation terminates once without duplicate side effects. A trigger that writes back into its source table may fire again under allowed nesting. Check recursion settings and ensure its logic is idempotent.
D:
“Neither side changes when the operation fails” concerns Partial updates violate business invariants; the reported problem instead is Unexpected recursive firing causes repeated work. The operation terminates once without duplicate side effects. A trigger that writes back into its source table may fire again under allowed nesting. Check recursion settings and ensure its logic is idempotent.
Question 150
BrightPath Studios is responsible for an Azure SQL or Microsoft SQL workload. A trigger updates the same table that fires it. Operational evidence: Unexpected recursive firing causes repeated work. What operational condition would provide the earliest useful regression warning?
- Monitor nested trigger failures and recursion errors
- Monitor uncommitted transactions and reconciliation errors
- Monitor procedure version compatibility and failures
- Monitor trigger duration and log growth
Explanation
Correct Answer
A:
Unexpected recursive firing causes repeated work. Monitor nested trigger failures and recursion errors. A trigger that writes back into its source table may fire again under allowed nesting. Check recursion settings and ensure its logic is idempotent.
Incorrect Answers
B:
“Monitor uncommitted transactions and reconciliation errors” concerns Partial updates violate business invariants; the reported problem instead is Unexpected recursive firing causes repeated work. Monitor nested trigger failures and recursion errors. A trigger that writes back into its source table may fire again under allowed nesting. Check recursion settings and ensure its logic is idempotent.
C:
“Monitor procedure version compatibility and failures” concerns Client parses messages rather than explicit output fields; the reported problem instead is Unexpected recursive firing causes repeated work. Monitor nested trigger failures and recursion errors. A trigger that writes back into its source table may fire again under allowed nesting. Check recursion settings and ensure its logic is idempotent.
D:
“Monitor trigger duration and log growth” concerns Trigger was written assuming a single row in inserted; the reported problem instead is Unexpected recursive firing causes repeated work. Monitor nested trigger failures and recursion errors. A trigger that writes back into its source table may fire again under allowed nesting. Check recursion settings and ensure its logic is idempotent.