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Snowflake Certification
COF-C03 Exam
Snowflake.COF-C03.v2026-06-01.q489 Dumps

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Question 146

What are the responsibilities of Snowflake's Cloud Service layer? (Choose three.)

A.Authentication
B.Resource management
C.Virtual warehouse caching
D.Query parsing and optimization
E.Query execution
F.Physical storage of micro-partitions

Correct Answer: A,B,D

The responsibilities of Snowflake's Cloud Service layer include authentication (A), which ensures secure access to the platform; resource management (B), which involves allocating and managing compute resources; and query parsing and optimization (D), which improves the efficiency and performance of SQL query execution3.

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Question 147

What happens to historical data when the retention period for an object ends?

A.The data is cloned into a historical object.
B.The data moves to Fail-safe
C.Time Travel on the historical data is dropped.
D.The object containing the historical data is dropped.

Correct Answer: C

When the retention period for an object ends in Snowflake, Time Travel on the historical data is dropped
. This means that the ability to access historical data via Time Travel is no longer available once the retention period has expired2.

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Question 148

What causes objects in a data share to become unavailable to a consumer account?

A.The DATA_RETENTI0N_TIME_IN_DAYS parameter in the consumer account is set to 0.
B.The consumer account runs the GRANT IMPORTED PRIVILEGES command on the data share every 24 hours.
C.The objects in the data share are being deleted and the grant pattern is not re-applied systematically.
D.The consumer account acquires the data share through a private data exchange.

Correct Answer: C

Objects in a data share become unavailable to a consumer account if the objects in the data share are deleted or if the permissions on these objects are altered without re-applying the grant permissions systematically. This is because the sharing mechanism in Snowflake relies on explicit grants of permissions on specific objects (like tables, views, or secure views) to the share. If these objects are deleted or if their permissions change without updating the share accordingly, consumers can lose access.
The DATA_RETENTION_TIME_IN_DAYS parameter does not directly affect the availability of shared objects, as it controls how long Snowflake retains historical data for time travel and does not impact data sharing permissions.
Running the GRANT IMPORTED PRIVILEGES command in the consumer account is not related to the availability of shared objects; this command is used to grant privileges on imported objects within the consumer's account and is not a routine maintenance command that would need to be run regularly.
Acquiring a data share through a private data exchange does not inherently make objects unavailable; issues would only arise if there were problems with the share configuration or if the shared objects were deleted or had their permissions altered without re-granting access to the share.

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Question 149

Which function returns an integer between 0 and 100 when used to calculate the similarity of two strings?

A.APPROXIMATE_SIMILARITY
B.JAROWINKLER_SIMILARITY
C.APPROXIMATE_JACCARD_INDEX
D.MINHASH COMBINE

Correct Answer: B

The JAROWINKLER_SIMILARITY function in Snowflake returns an integer between 0 and 100, indicating the similarity of two strings based on the Jaro-Winkler similarity algorithm. This function is useful for comparing strings and determining how closely they match each other.
Understanding JAROWINKLER_SIMILARITY: The Jaro-Winkler similarity metric is a measure of similarity between two strings. The score is a number between 0 and 100, where 100 indicates an exact match and lower scores indicate less similarity.
Usage Example: To compare two strings and get their similarity score, you can use:
SELECT JAROWINKLER_SIMILARITY('string1', 'string2') AS similarity_score; Application Scenarios: This function is particularly useful in data cleaning, matching, and deduplication tasks where you need to identify similar but not identical strings, such as names, addresses, or product titles.

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Question 150

Which type of workload traditionally benefits from the use of the query acceleration service?

A.Workloads with a predictable data volume for each query
B.Workloads that include on-demand data analyses
C.Queries with small scans and non-selective filters
D.Queries that do not have filters or aggregation

Correct Answer: B

The query acceleration service in Snowflake is beneficial for workloads that include on-demand data analyses. This service optimizes query performance by dynamically allocating additional resources to execute queries faster, particularly useful for ad-hoc analysis where data volume and complexity can vary.
Snowflake Documentation: Query Acceleration Service

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