Microsoft DP-800 Questions & Answers

Temporal history captures prior row versions when system versioning is enabled. The actual technical constraint is that ledger tamper evidence supports verification; it does not prevent every privileged misuse.

A missing selective access path forces large table or clustered-index scans. The actual technical constraint is that ledger tamper evidence supports verification; it does not prevent every privileged misuse.

Column-oriented compression and batch processing can accelerate broad aggregations. The actual technical constraint is that ledger tamper evidence supports verification; it does not prevent every privileged misuse.

Guidance can be limited by file type or directory to avoid irrelevant instructions. The actual technical constraint is that prompt instructions influence suggestions but are not mandatory security policies.

Broad MCP tool capability expands the agent's potential effect on the database. The actual technical constraint is that prompt instructions influence suggestions but are not mandatory security policies.

AI chat providers and extensions may retain shared content outside the database boundary. The actual technical constraint is that prompt instructions influence suggestions but are not mandatory security policies.

Avoiding retries loses updates after transient faults and creates stale embeddings.

Retaining deleted products can disclose outdated or unauthorized catalog entries in search results.

One-time validation does not detect ongoing event loss, stale versions, or missing deletes.

Source presence does not guarantee every file enters the SQL project model.

Bind deployment environment, endpoint and credentials to explicit approved pipeline controls. The relevant technical condition instead is that move or reference supported source files in a reproducible repository layout.

A declarative project can validate database object definitions before deployment.

Representative joins show improved estimates and correct results. However, that result would not establish the required outcome: the function composes correctly in a FROM clause.

The audit records exact old values in multirow deletion tests. However, that result would not establish the required outcome: the function composes correctly in a FROM clause.

A 50-row INSERT updates all required summary totals correctly. However, that result would not establish the required outcome: the function composes correctly in a FROM clause.

Approximate indexes trade exact completeness for faster retrieval on large corpora. The actual technical constraint is that exact search compares the candidate vectors directly without ANN recall tradeoffs.

Small synthetic benchmarks understate index and memory behavior at scale. The actual technical constraint is that exact search compares the candidate vectors directly without ANN recall tradeoffs.

Vector operations require dimension compatibility. The actual technical constraint is that exact search compares the candidate vectors directly without ANN recall tradeoffs.

Validating dimensions before calling SQL would not correct following remediation, what safeguard BEST prevents a repeat of this specific failure. Test sorting after any metric change.

Tune weighting using labeled relevance judgments. The current task instead requires this action: test sorting after any metric change.

Tune fusion and metadata filters from labeled evaluations. The current task instead requires this action: test sorting after any metric change.

Per-row scalar function calls may create expensive repeated execution on some workloads.

Consider converting eligible logic into an inline TVF and compare plans. The relevant technical condition instead is that move the state-changing operation into an approved stored procedure or application transaction.

A view centralizes a query contract without storing a second copy by default.

Rollback tests demonstrate permitted gaps without violating key uniqueness. However, that result would not establish the required outcome: a high-watermark test verifies continued unique allocation within supported limits.

Plans show elimination for a month-filtered report and totals remain correct. However, that result would not establish the required outcome: a high-watermark test verifies continued unique allocation within supported limits.

That check would verify a different scenario: A developer partitions an orders table by CreatedAt but filters primarily by CustomerId and observes no gain. It is evidence for benchmark partition elimination against actual predicates instead of assuming partitioning is an index replacement, not the stated requirement. For this case, it does not directly prove the requested outcome; the distinguishing issue is finite ranges exhaust and enabling CYCLE without safety checks may repeat identifiers. The specifically relevant observable acceptance test is: A high-watermark test verifies continued unique allocation within supported limits.

Auditing collection adds actor, operation and time evidence but does not itself block changes concerns a different mechanism; the relevant technical point is that data read auditing does not automatically cover every administrative event.

Database roles and schema grants can bound an automation's change surface. The actual technical constraint is that data read auditing does not automatically cover every administrative event.

Dynamic masking is evaluated at query output rather than permanently altering storage. The actual technical constraint is that data read auditing does not automatically cover every administrative event.

Avoid counting duplicates in one list twice. The current task instead requires this action: keep rank offset and truncation policies documented.

Choose exact versus linguistic search deliberately. The current task instead requires this action: keep rank offset and truncation policies documented.

Verify platform, dimension limit and client compatibility. The current task instead requires this action: keep rank offset and truncation policies documented.