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

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Question 131

Which typos of charts does Snowsight support? (Select TWO).

A.Area charts
B.Bar charts
C.Column charts
D.Radar charts
E.Scorecards

Correct Answer: A,B

Snowsight, Snowflake's user interface for executing and analyzing queries, supports various types of visualizations to help users understand their data better. Among the supported types, area charts and bar charts are two common options. Area charts are useful for representing quantities through the use of filled areas on the graph, often useful for showing volume changes over time. Bar charts, on the other hand, are versatile for comparing different groups or categories of data. Both chart types are integral to data analysis, enabling users to visualize trends, patterns, and differences in their data effectively.References: Snowflake Documentation on Snowsight Visualizations

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Question 132

Which command can be used to load data into an internal stage?

A.LOAD
B.copy
C.GET
D.PUT

Correct Answer: D

The PUT command is used to load data into an internal stage in Snowflake. This command uploads data files from a local file system to a named internal stage, making the data available for subsequent loading into a Snowflake table using the COPY INTO command.
References:
[ COF-C03 ] SnowPro Core Certification Exam Study Guide
Snowflake Documentation on Data Loading

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Question 133

How should clustering be used to optimize the performance of queries that run on a very large table?

A.Manually re-cluster the table regularly.
B.Choose one high cardinality column as the clustering key.
C.Use the column that is most-frequently used in query select clauses as the clustering key.
D.Assess the average table depth to identify how clustering is impacting the query.

Correct Answer: B

For optimizing the performance of queries that run on a very large table, it is recommended to choose one high cardinality column as the clustering key.This helps to co-locate similar rows in the same micro-partitions, improving scan efficiency in queries by skipping data that does not match filtering predicates4.
References:[COF-C02] SnowPro Core Certification Exam Study Guide

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Question 134

When unloading data, which file format preserves the data values for floating-point number columns?

A.Avro
B.CSV
C.JSON
D.Parquet

Correct Answer: D

When unloading data, the Parquet file format is known for its efficiency in preserving the data values for floating-point number columns. Parquet is a columnar storage file format that offers high compression ratios and efficient data encoding schemes. It is especially effective for floating-point data, as it maintains high precision and supports efficient querying and analysis.
References:
Snowflake Documentation: Using the Parquet File Format for Unloading Data

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Question 135

What is the MAXIMUM number of clusters that can be provisioned with a multi-cluster virtual warehouse?

A.1
B.5
C.10
D.100

Correct Answer: C

In Snowflake, the maximum number of clusters that can be provisioned within a multi-cluster virtual warehouse is 10. This allows for significant scalability and performance management by enabling Snowflake to handle varying levels of query load by adjusting the number of active clusters within the warehouse.
References: Snowflake documentation on virtual warehouses, particularly the scalability options available in multi-cluster configurations.

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