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Microsoft DP-800 Practice Test 43

Question 420

Briarfield Foods is responsible for an Azure SQL or Microsoft SQL workload. A stored procedure runs fast for small tenants but times out for large tenants. Operational evidence: The cached query plan favors one selectivity pattern. What operational condition would provide the earliest useful regression warning?

  1. Monitor deadlock rate and transaction retries
  2. Monitor Query Store regressed queries
  3. Monitor stats modification counts and plan churn
  4. Monitor plan forcing and parameter regression

Explanation

Correct Answer

D:

The cached query plan favors one selectivity pattern. Monitor plan forcing and parameter regression.

Incorrect Answers

A:

“Monitor deadlock rate and transaction retries” concerns Deadlock graphs repeatedly identify the same pair of statements; the reported problem instead is The cached query plan favors one selectivity pattern. Monitor plan forcing and parameter regression.

B:

“Monitor Query Store regressed queries” concerns Query Store captures a new high-cost plan; the reported problem instead is The cached query plan favors one selectivity pattern. Monitor plan forcing and parameter regression.

C:

“Monitor stats modification counts and plan churn” concerns Outdated statistics misestimate filtered cardinality; the reported problem instead is The cached query plan favors one selectivity pattern. Monitor plan forcing and parameter regression.

Question 421

At Northstar Analytics, a weekly release makes a previously fast query slow. The observed constraint is: Query Store captures a new high-cost plan. What initial check best narrows the technical cause without altering business data?

  1. Inspect Query Store plans and parameter distributions
  2. Compare plans, duration and deployment timestamp
  3. Inspect wait stats, isolation settings and transaction duration
  4. Inspect actual plans, existing overlapping indexes and workloads

Explanation

Correct Answer

B:

Query Store captures a new high-cost plan. Compare plans, duration and deployment timestamp.

Incorrect Answers

A:

“Inspect Query Store plans and parameter distributions” concerns The cached query plan favors one selectivity pattern; the reported problem instead is Query Store captures a new high-cost plan. Compare plans, duration and deployment timestamp.

C:

“Inspect wait stats, isolation settings and transaction duration” concerns Readers wait for exclusive locks during updates; the reported problem instead is Query Store captures a new high-cost plan. Compare plans, duration and deployment timestamp.

D:

“Inspect actual plans, existing overlapping indexes and workloads” concerns A single recommendation ignores write/storage cost; the reported problem instead is Query Store captures a new high-cost plan. Compare plans, duration and deployment timestamp.

Question 422

A database engineer at Maple Harbor Research is investigating this case: A weekly release makes a previously fast query slow. The relevant finding is: Query Store captures a new high-cost plan. Which proposed change is the most suitable response to the observed constraint?

  1. Update appropriate statistics or adjust stats maintenance process
  2. Correct indexing/statistics or use an approved plan correction mechanism
  3. Fix cardinality/index design or query shape before increasing resources
  4. Use appropriate plan-stability or parameter-sensitivity strategy based on supported engine

Explanation

Correct Answer

B:

Query Store captures a new high-cost plan. Correct indexing/statistics or use an approved plan correction mechanism.

Incorrect Answers

A:

“Update appropriate statistics or adjust stats maintenance process” concerns Outdated statistics misestimate filtered cardinality; the reported problem instead is Query Store captures a new high-cost plan. Correct indexing/statistics or use an approved plan correction mechanism.

C:

“Fix cardinality/index design or query shape before increasing resources” concerns Actual plan warns of spill and high memory grant; the reported problem instead is Query Store captures a new high-cost plan. Correct indexing/statistics or use an approved plan correction mechanism.

D:

“Use appropriate plan-stability or parameter-sensitivity strategy based on supported engine” concerns The cached query plan favors one selectivity pattern; the reported problem instead is Query Store captures a new high-cost plan. Correct indexing/statistics or use an approved plan correction mechanism.

Question 423

Juniper Commerce is responsible for an Azure SQL or Microsoft SQL workload. A weekly release makes a previously fast query slow. Operational evidence: Query Store captures a new high-cost plan. What isolated pilot would provide the strongest evidence before rollout?

  1. Replay representative sort with captured plans
  2. Replay affected query with prior and candidate plan on snapshot
  3. Benchmark candidate and baseline indexes under mixed reads/writes
  4. Replay concurrent update/read workload against a sandbox copy

Explanation

Correct Answer

B:

Query Store captures a new high-cost plan. Replay affected query with prior and candidate plan on snapshot.

Incorrect Answers

A:

“Replay representative sort with captured plans” concerns Actual plan warns of spill and high memory grant; the reported problem instead is Query Store captures a new high-cost plan. Replay affected query with prior and candidate plan on snapshot.

C:

“Benchmark candidate and baseline indexes under mixed reads/writes” concerns A single recommendation ignores write/storage cost; the reported problem instead is Query Store captures a new high-cost plan. Replay affected query with prior and candidate plan on snapshot.

D:

“Replay concurrent update/read workload against a sandbox copy” concerns Readers wait for exclusive locks during updates; the reported problem instead is Query Store captures a new high-cost plan. Replay affected query with prior and candidate plan on snapshot.

Question 424

At Summit Logistics, a weekly release makes a previously fast query slow. The observed constraint is: Query Store captures a new high-cost plan. Which acceptance result most directly demonstrates the requirement has been satisfied?

  1. Query performance returns without incorrect forced assumptions
  2. Both workloads meet latency goals with correct row results
  3. Plan uses efficient seeks without excessive key lookups
  4. Spill events decrease and query remains correct

Explanation

Correct Answer

A:

Query Store captures a new high-cost plan. Query performance returns without incorrect forced assumptions.

Incorrect Answers

B:

“Both workloads meet latency goals with correct row results” concerns The cached query plan favors one selectivity pattern; the reported problem instead is Query Store captures a new high-cost plan. Query performance returns without incorrect forced assumptions.

C:

“Plan uses efficient seeks without excessive key lookups” concerns Existing index begins with a rarely filtered column; the reported problem instead is Query Store captures a new high-cost plan. Query performance returns without incorrect forced assumptions.

D:

“Spill events decrease and query remains correct” concerns Actual plan warns of spill and high memory grant; the reported problem instead is Query Store captures a new high-cost plan. Query performance returns without incorrect forced assumptions.

Question 425

A database engineer at BrightPath Studios is investigating this case: A weekly release makes a previously fast query slow. The relevant finding is: Query Store captures a new high-cost plan. What operational condition would provide the earliest useful regression warning?

  1. Monitor Query Store regressed queries
  2. Monitor plan forcing and parameter regression
  3. Monitor version-store usage and long transactions
  4. Monitor row versioning and tempdb or persistent version-store pressure

Explanation

Correct Answer

A:

Query Store captures a new high-cost plan. Monitor Query Store regressed queries.

Incorrect Answers

B:

“Monitor plan forcing and parameter regression” concerns The cached query plan favors one selectivity pattern; the reported problem instead is Query Store captures a new high-cost plan. Monitor Query Store regressed queries.

C:

“Monitor version-store usage and long transactions” concerns Concurrent updates produce inconsistent intermediate totals; the reported problem instead is Query Store captures a new high-cost plan. Monitor Query Store regressed queries.

D:

“Monitor row versioning and tempdb or persistent version-store pressure” concerns Readers wait for exclusive locks during updates; the reported problem instead is Query Store captures a new high-cost plan. Monitor Query Store regressed queries.

Question 426

Lakeview Services is responsible for an Azure SQL or Microsoft SQL workload. A DMV suggests a large covering index for a busy write table. Operational evidence: A single recommendation ignores write/storage cost. What initial check best narrows the technical cause without altering business data?

  1. Inspect Query Store plans and parameter distributions
  2. Compare statistics age and actual-versus-estimated rows
  3. Compare plans, duration and deployment timestamp
  4. Inspect actual plans, existing overlapping indexes and workloads

Explanation

Correct Answer

D:

A single recommendation ignores write/storage cost. Inspect actual plans, existing overlapping indexes and workloads.

Incorrect Answers

A:

“Inspect Query Store plans and parameter distributions” concerns The cached query plan favors one selectivity pattern; the reported problem instead is A single recommendation ignores write/storage cost. Inspect actual plans, existing overlapping indexes and workloads.

B:

“Compare statistics age and actual-versus-estimated rows” concerns Outdated statistics misestimate filtered cardinality; the reported problem instead is A single recommendation ignores write/storage cost. Inspect actual plans, existing overlapping indexes and workloads.

C:

“Compare plans, duration and deployment timestamp” concerns Query Store captures a new high-cost plan; the reported problem instead is A single recommendation ignores write/storage cost. Inspect actual plans, existing overlapping indexes and workloads.

Question 427

At Crownridge Travel, a DMV suggests a large covering index for a busy write table. The observed constraint is: A single recommendation ignores write/storage cost. Which proposed change is the most suitable response to the observed constraint?

  1. Correct indexing/statistics or use an approved plan correction mechanism
  2. Evaluate consolidated indexes against read/write impact instead of blindly applying DMV hint
  3. Create or revise composite index key order for dominant filters
  4. Evaluate READ_COMMITTED_SNAPSHOT after compatibility tests

Explanation

Correct Answer

B:

A single recommendation ignores write/storage cost. Evaluate consolidated indexes against read/write impact instead of blindly applying DMV hint.

Incorrect Answers

A:

“Correct indexing/statistics or use an approved plan correction mechanism” concerns Query Store captures a new high-cost plan; the reported problem instead is A single recommendation ignores write/storage cost. Evaluate consolidated indexes against read/write impact instead of blindly applying DMV hint.

C:

“Create or revise composite index key order for dominant filters” concerns Existing index begins with a rarely filtered column; the reported problem instead is A single recommendation ignores write/storage cost. Evaluate consolidated indexes against read/write impact instead of blindly applying DMV hint.

D:

“Evaluate READ_COMMITTED_SNAPSHOT after compatibility tests” concerns Readers wait for exclusive locks during updates; the reported problem instead is A single recommendation ignores write/storage cost. Evaluate consolidated indexes against read/write impact instead of blindly applying DMV hint.

Question 428

A database engineer at Oakridge Advisors is investigating this case: A DMV suggests a large covering index for a busy write table. The relevant finding is: A single recommendation ignores write/storage cost. What isolated pilot would provide the strongest evidence before rollout?

  1. Replay affected query with prior and candidate plan on snapshot
  2. Benchmark small and large tenant parameter sets in test SQL
  3. Benchmark lookups before/after on representative dataset
  4. Benchmark candidate and baseline indexes under mixed reads/writes

Explanation

Correct Answer

D:

A single recommendation ignores write/storage cost. Benchmark candidate and baseline indexes under mixed reads/writes.

Incorrect Answers

A:

“Replay affected query with prior and candidate plan on snapshot” concerns Query Store captures a new high-cost plan; the reported problem instead is A single recommendation ignores write/storage cost. Benchmark candidate and baseline indexes under mixed reads/writes.

B:

“Benchmark small and large tenant parameter sets in test SQL” concerns The cached query plan favors one selectivity pattern; the reported problem instead is A single recommendation ignores write/storage cost. Benchmark candidate and baseline indexes under mixed reads/writes.

C:

“Benchmark lookups before/after on representative dataset” concerns Existing index begins with a rarely filtered column; the reported problem instead is A single recommendation ignores write/storage cost. Benchmark candidate and baseline indexes under mixed reads/writes.

Question 429

Horizon Communications is responsible for an Azure SQL or Microsoft SQL workload. A DMV suggests a large covering index for a busy write table. Operational evidence: A single recommendation ignores write/storage cost. Which acceptance result most directly demonstrates the requirement has been satisfied?

  1. End-to-end workload improves after considering maintenance costs
  2. Plan uses efficient seeks without excessive key lookups
  3. Query performance returns without incorrect forced assumptions
  4. Read latency improves without lost-update application logic

Explanation

Correct Answer

A:

A single recommendation ignores write/storage cost. End-to-end workload improves after considering maintenance costs.

Incorrect Answers

B:

“Plan uses efficient seeks without excessive key lookups” concerns Existing index begins with a rarely filtered column; the reported problem instead is A single recommendation ignores write/storage cost. End-to-end workload improves after considering maintenance costs.

C:

“Query performance returns without incorrect forced assumptions” concerns Query Store captures a new high-cost plan; the reported problem instead is A single recommendation ignores write/storage cost. End-to-end workload improves after considering maintenance costs.

D:

“Read latency improves without lost-update application logic” concerns Readers wait for exclusive locks during updates; the reported problem instead is A single recommendation ignores write/storage cost. End-to-end workload improves after considering maintenance costs.

Question 430

At Brookfield Labs, a DMV suggests a large covering index for a busy write table. The observed constraint is: A single recommendation ignores write/storage cost. Which recurring metrics identify BOTH usage of the proposed index and the additional **storage footprint** it creates, rather than measuring only its effect on write latency?

  1. Monitor index usage and storage overhead
  2. Monitor Query Store regressed queries
  3. Monitor index seek usage and write cost
  4. Monitor version-store usage and long transactions

Explanation

Correct Answer

A:

A single recommendation ignores write/storage cost. Monitor index usage and storage overhead.

Incorrect Answers

B:

“Monitor Query Store regressed queries” concerns Query Store captures a new high-cost plan; the reported problem instead is A single recommendation ignores write/storage cost. Monitor index usage and storage overhead.

C:

Index-seek counts and write cost can reveal performance trade-offs, but the question specifically requires measurement of accumulated index storage overhead together with actual usage. The usage/storage pair in A covers both named metrics.

D:

“Monitor version-store usage and long transactions” concerns Concurrent updates produce inconsistent intermediate totals; the reported problem instead is A single recommendation ignores write/storage cost. Monitor index usage and storage overhead.

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