Snowflake SnowPro Core Practice Test 75
Question 740
For an original SnowPro Core educational scenario, consider: An analyst changes session settings and underlying tables and expects persisted results to be reused regardless of those changes. Select TWO complementary steps: the targeted correction and its strongest prechange validation.
- Check: Compare QUERY_HISTORY result reuse and query text or underlying data changes in a controlled test.
- Check: Compare eligible predicates, row selectivity, search access path use and service credit cost.
- Change: Evaluate a supported materialized view for a repeatable eligible query with justified refresh and storage cost.
- Assume RESULT_SCAN or query-result caching permanently freezes every table's answer.
- Change: Evaluate persisted query result reuse conditions, including unchanged underlying data and eligible query determinism.
Explanation
Correct Answer
A:Required intervention: Evaluate persisted query result reuse conditions, including unchanged underlying data and eligible query determinism.
E:Evidence: Compare QUERY_HISTORY result reuse and query text or underlying data changes in a controlled test.
Incorrect Answers
B:Check: Compare eligible predicates, row selectivity, search access path use and service credit cost. Snowflake may reuse prior query results subject to eligibility and validity conditions; this cache is different from a warehouse's local data cache.
C:This option addresses a different Snowflake technical topic (Materialized views for repeated aggregation) rather than the documented Persisted query result cache decision.
D:Snowflake may reuse prior query results subject to eligibility and validity conditions; this cache is different from a warehouse's local data cache. Applied case: An analyst changes session settings and underlying tables and expects persisted results to be reused regardless of those changes.
Question 741
A Snowflake engineer is examining this platform situation: A frequently queried table runs faster on a warm warehouse but slows after that warehouse has been suspended. A proposed shortcut is: Assume suspending a warehouse keeps every local cached block available indefinitely. What should the Snowflake engineer recommend as the narrowly scoped correction? Select ONE best answer.
- Use an appropriate MERGE with deterministic matched and unmatched clauses and validated source uniqueness.
- Assume suspending a warehouse keeps every local cached block available indefinitely.
- Tune appropriate suspension and workload locality after measuring warehouse data-cache benefit and idle credit cost.
- Evaluate clustering depth and selective query benefit before choosing a supported clustering key on a sufficiently large table.
Explanation
Correct Answer
C:Local warehouse cache is associated with running compute and does not equal reusable persisted query results across warehouses. Applied case: A frequently queried table runs faster on a warm warehouse but slows after that warehouse has been suspended.
Incorrect Answers
A:Use an appropriate MERGE with deterministic matched and unmatched clauses and validated source uniqueness. Local warehouse cache is associated with running compute and does not equal reusable persisted query results across warehouses.
B:Local warehouse cache is associated with running compute and does not equal reusable persisted query results across warehouses. For this best change assessment, the shortcut changes or bypasses the necessary correctness, governance or operational boundary rather than correcting it.
D:Evaluate clustering depth and selective query benefit before choosing a supported clustering key on a sufficiently large table. Local warehouse cache is associated with running compute and does not equal reusable persisted query results across warehouses.
Question 742
A Snowflake implementation review finds: A frequently queried table runs faster on a warm warehouse but slows after that warehouse has been suspended. The team proposes: Tune appropriate suspension and workload locality after measuring warehouse data-cache benefit and idle credit cost. Which platform principle most strongly supports the recommended response? Select ONE best answer.
- Snowflake metadata can skip micro-partitions whose ranges do not satisfy filters; poor layout or non-sargable expressions reduce pruning.
- Dynamic table target lag guides managed refresh behavior but does not promise zero-latency propagation or free compute.
- QUALIFY filters query results after window functions are evaluated and is distinct from ordinary WHERE filtering.
- Local warehouse cache is associated with running compute and does not equal reusable persisted query results across warehouses.
Explanation
Correct Answer
D:Demonstrable success requires: A justifiable cache strategy improves repeated reads without keeping idle compute running solely by assumption. Applied case: A frequently queried table runs faster on a warm warehouse but slows after that warehouse has been suspended.
Incorrect Answers
A:Snowflake metadata can skip micro-partitions whose ranges do not satisfy filters; poor layout or non-sargable expressions reduce pruning. Local warehouse cache is associated with running compute and does not equal reusable persisted query results across warehouses.
B:Dynamic table target lag guides managed refresh behavior but does not promise zero-latency propagation or free compute. Local warehouse cache is associated with running compute and does not equal reusable persisted query results across warehouses.
C:QUALIFY filters query results after window functions are evaluated and is distinct from ordinary WHERE filtering. Local warehouse cache is associated with running compute and does not equal reusable persisted query results across warehouses.
Question 743
The data platform team has not yet approved changes. Current evidence indicates: A frequently queried table runs faster on a warm warehouse but slows after that warehouse has been suspended. Which evidence best tests the technical diagnosis before approving a disruptive change? Select ONE best answer.
- Compare QUERY_HISTORY result reuse and query text or underlying data changes in a controlled test.
- Check query eligibility, refresh behavior, query rewrite usage and storage or maintenance charges.
- Compare bytes scanned from cache, suspend-resume behavior and warehouse IDs for repeated queries.
- Compare source key uniqueness, pre-join counts and resulting row counts for representative business IDs.
Explanation
Correct Answer
C:Local warehouse cache is associated with running compute and does not equal reusable persisted query results across warehouses. Confirm afterward that: A justifiable cache strategy improves repeated reads without keeping idle compute running solely by assumption.
Incorrect Answers
A:Compare QUERY_HISTORY result reuse and query text or underlying data changes in a controlled test. Local warehouse cache is associated with running compute and does not equal reusable persisted query results across warehouses.
B:Check query eligibility, refresh behavior, query rewrite usage and storage or maintenance charges. Local warehouse cache is associated with running compute and does not equal reusable persisted query results across warehouses.
D:Compare source key uniqueness, pre-join counts and resulting row counts for representative business IDs. Local warehouse cache is associated with running compute and does not equal reusable persisted query results across warehouses.
Question 744
A candidate correction has been tested and the platform team requires a post-change acceptance check. Original problem: A frequently queried table runs faster on a warm warehouse but slows after that warehouse has been suspended. The service owner needs positive and negative results and evidence that legitimate data workflows still function. Which acceptance result demonstrates correct platform behavior without disrupting authorized workflows? Select ONE best answer.
- A justifiable cache strategy improves repeated reads without keeping idle compute running solely by assumption.
- The query reads fewer relevant partitions while returning identical filtered rows.
- Valid values are typed correctly and bad data is isolated rather than silently misreported.
- Exactly the intended ranked records remain with deterministic tie rules.
Explanation
Correct Answer
A:Local warehouse cache is associated with running compute and does not equal reusable persisted query results across warehouses. The result must be validated using the documented dataset or access context.
Incorrect Answers
B:The query reads fewer relevant partitions while returning identical filtered rows. Local warehouse cache is associated with running compute and does not equal reusable persisted query results across warehouses.
C:Valid values are typed correctly and bad data is isolated rather than silently misreported. Local warehouse cache is associated with running compute and does not equal reusable persisted query results across warehouses.
D:Exactly the intended ranked records remain with deterministic tie rules. Local warehouse cache is associated with running compute and does not equal reusable persisted query results across warehouses.
Question 745
An implementation sign-off request identifies the following problem: A frequently queried table runs faster on a warm warehouse but slows after that warehouse has been suspended. Which paired technical change and validation should close the implementation review? Select ONE best answer.
- Change: Use CREATE TABLE AS SELECT with an appropriate table type and explicit lifecycle or dependency management. Verify: Compare created table schema, row count, retention settings and downstream access after the initial session.
- Change: Use suitable TRY_TO_NUMBER or TRY_TO_DATE style conversions with separate bad-record detection and remediation. Verify: Count conversion failures, review source examples and reconcile accepted versus quarantined records.
- Change: Track query duration, warehouse and serverless credits, data volume and service objectives together for tuning decisions. Verify: Compare task throughput, credits per successful run, latency and error rates before and after each change.
- Change: Tune appropriate suspension and workload locality after measuring warehouse data-cache benefit and idle credit cost. Verify: Compare bytes scanned from cache, suspend-resume behavior and warehouse IDs for repeated queries.
Explanation
Correct Answer
D:Local warehouse cache is associated with running compute and does not equal reusable persisted query results across warehouses. The change is successful only when: A justifiable cache strategy improves repeated reads without keeping idle compute running solely by assumption.
Incorrect Answers
A:Change: Use CREATE TABLE AS SELECT with an appropriate table type and explicit lifecycle or dependency management.
B:Change: Use suitable TRY_TO_NUMBER or TRY_TO_DATE style conversions with separate bad-record detection and remediation. Local warehouse cache is associated with running compute and does not equal reusable persisted query results across warehouses.
C:Change: Track query duration, warehouse and serverless credits, data volume and service objectives together for tuning decisions. Local warehouse cache is associated with running compute and does not equal reusable persisted query results across warehouses.
Question 746
A Snowflake engineer is examining this platform situation: Two different warehouses query the same table and an engineer expects their local data caches to be identical. A proposed shortcut is: Assume suspending a warehouse keeps every local cached block available indefinitely. What should the Snowflake engineer recommend as the narrowly scoped correction? Select ONE best answer.
- Assume suspending a warehouse keeps every local cached block available indefinitely.
- Evaluate a supported materialized view for a repeatable eligible query with justified refresh and storage cost.
- Use the query profile to identify spill or join skew, then consider query changes and supported warehouse resizing.
- Tune appropriate suspension and workload locality after measuring warehouse data-cache benefit and idle credit cost.
Explanation
Correct Answer
D:Local warehouse cache is associated with running compute and does not equal reusable persisted query results across warehouses. This targeted change addresses the stated technical or governance gap without discarding necessary controls.
Incorrect Answers
A:Local warehouse cache is associated with running compute and does not equal reusable persisted query results across warehouses. Use this instead: Tune appropriate suspension and workload locality after measuring warehouse data-cache benefit and idle credit cost.
B:Evaluate a supported materialized view for a repeatable eligible query with justified refresh and storage cost. Local warehouse cache is associated with running compute and does not equal reusable persisted query results across warehouses.
C:This option addresses a different Snowflake technical topic (Query profile spilling and repartitioning) rather than the documented Warehouse local data cache decision.
Question 747
A Snowflake implementation review finds: Two different warehouses query the same table and an engineer expects their local data caches to be identical. The team proposes: Tune appropriate suspension and workload locality after measuring warehouse data-cache benefit and idle credit cost. Which platform principle most strongly supports the recommended response? Select ONE best answer.
- Local warehouse cache is associated with running compute and does not equal reusable persisted query results across warehouses.
- Window calculations evaluate over logical row partitions without necessarily collapsing rows as a GROUP BY does.
- QUALIFY filters query results after window functions are evaluated and is distinct from ordinary WHERE filtering.
- Query latency and credit use can change for multiple reasons including plan, data volume, queuing and warehouse resources.
Explanation
Correct Answer
A:Demonstrable success requires: A justifiable cache strategy improves repeated reads without keeping idle compute running solely by assumption. This principle explains the proposed technical approach, which is: Tune appropriate suspension and workload locality after measuring warehouse data-cache benefit and idle credit cost.
Incorrect Answers
B:Window calculations evaluate over logical row partitions without necessarily collapsing rows as a GROUP BY does. Local warehouse cache is associated with running compute and does not equal reusable persisted query results across warehouses.
C:QUALIFY filters query results after window functions are evaluated and is distinct from ordinary WHERE filtering. Two different warehouses query the same table and an engineer expects their local data caches to be identical.
D:This option addresses a different Snowflake technical topic (Query History and performance regression) rather than the documented Warehouse local data cache decision.
Question 748
The data platform team has not yet approved changes. Current evidence indicates: Two different warehouses query the same table and an engineer expects their local data caches to be identical. Which evidence best tests the technical diagnosis before approving a disruptive change? Select ONE best answer.
- Compare bytes scanned from cache, suspend-resume behavior and warehouse IDs for repeated queries.
- Test row_number or moving-average output for customers with multiple timestamps and ties.
- Compare query profile, clustering depth, maintenance credits and representative workload results.
- Compare eligible predicates, row selectivity, search access path use and service credit cost.
Explanation
Correct Answer
A:Local warehouse cache is associated with running compute and does not equal reusable persisted query results across warehouses. Applied case: Two different warehouses query the same table and an engineer expects their local data caches to be identical.
Incorrect Answers
B:Test row_number or moving-average output for customers with multiple timestamps and ties. Local warehouse cache is associated with running compute and does not equal reusable persisted query results across warehouses.
C:Compare query profile, clustering depth, maintenance credits and representative workload results. Local warehouse cache is associated with running compute and does not equal reusable persisted query results across warehouses.
D:Compare eligible predicates, row selectivity, search access path use and service credit cost. Local warehouse cache is associated with running compute and does not equal reusable persisted query results across warehouses.
Question 749
A candidate correction has been tested and the platform team requires a post-change acceptance check. Original problem: Two different warehouses query the same table and an engineer expects their local data caches to be identical. The service owner needs positive and negative results and evidence that legitimate data workflows still function. Which acceptance result demonstrates correct platform behavior without disrupting authorized workflows? Select ONE best answer.
- Each intended nested element is represented with correct types and no accidental Cartesian explosion.
- A justifiable cache strategy improves repeated reads without keeping idle compute running solely by assumption.
- The join yields expected grain and aggregate totals reconcile to source transactions.
- The pipeline processes supported data within Snowflake while downloading only necessary results.
Explanation
Correct Answer
B:Local warehouse cache is associated with running compute and does not equal reusable persisted query results across warehouses. The approved implementation step was: Tune appropriate suspension and workload locality after measuring warehouse data-cache benefit and idle credit cost.
Incorrect Answers
A:Each intended nested element is represented with correct types and no accidental Cartesian explosion. Local warehouse cache is associated with running compute and does not equal reusable persisted query results across warehouses.
C:The join yields expected grain and aggregate totals reconcile to source transactions. Local warehouse cache is associated with running compute and does not equal reusable persisted query results across warehouses.
D:The pipeline processes supported data within Snowflake while downloading only necessary results. Local warehouse cache is associated with running compute and does not equal reusable persisted query results across warehouses.
Question 750
For an original SnowPro Core educational scenario, consider: Two different warehouses query the same table and an engineer expects their local data caches to be identical. Select TWO complementary steps: the targeted correction and its strongest prechange validation.
- Change: Track query duration, warehouse and serverless credits, data volume and service objectives together for tuning decisions.
- Change: Tune appropriate suspension and workload locality after measuring warehouse data-cache benefit and idle credit cost.
- Check: Check query eligibility, refresh behavior, query rewrite usage and storage or maintenance charges.
- Assume suspending a warehouse keeps every local cached block available indefinitely.
- Check: Compare bytes scanned from cache, suspend-resume behavior and warehouse IDs for repeated queries.
Explanation
Correct Answer
B:Local warehouse cache is associated with running compute and does not equal reusable persisted query results across warehouses. Acceptance: A justifiable cache strategy improves repeated reads without keeping idle compute running solely by assumption.
E:Local warehouse cache is associated with running compute and does not equal reusable persisted query results across warehouses. Required intervention: Tune appropriate suspension and workload locality after measuring warehouse data-cache benefit and idle credit cost.
Incorrect Answers
A:Change: Track query duration, warehouse and serverless credits, data volume and service objectives together for tuning decisions. Two different warehouses query the same table and an engineer expects their local data caches to be identical.
C:Check: Check query eligibility, refresh behavior, query rewrite usage and storage or maintenance charges. Local warehouse cache is associated with running compute and does not equal reusable persisted query results across warehouses.
D:For this select two assessment, the shortcut changes or bypasses the necessary correctness, governance or operational boundary rather than correcting it. Local warehouse cache is associated with running compute and does not equal reusable persisted query results across warehouses.