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  1. Home
  2. Snowflake Certification
  3. COF-C02 Exam
  4. Snowflake.COF-C02.v2026-01-13.q618 Dumps
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Question 96

A user has 10 files in a stage containing new customer data. The ingest operation completes with no errors, using the following command:
COPY INTO my__table FROM @my__stage;
The next day the user adds 10 files to the stage so that now the stage contains a mixture of new customer data and updates to the previous data. The user did not remove the 10 original files.
If the user runs the same copy into command what will happen?

Correct Answer: A
When the COPY INTO command is executed in Snowflake, it processes all files present in the specified stage that have not been ingested before or marked as already loaded. Since the user did not remove the original 10 files after the first load, running the same COPY INTO command again will result in all 20 files being processed. This means that the data from the original 10 files will be appended to the table again, along with the data from the new 10 files, potentially leading to duplicate records for the original data set.
References:
Snowflake Documentation on Data Loading
SnowPro® Core Certification Study Guide
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Question 97

True or False: A customer using SnowSQL / native connectors will be unable be unable to able to also use the Snowflake Web interface (UI) unless access to the UI is explicitly granted by supported.

Correct Answer: B
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Question 98

How can performance be optimized for a query that returns a small amount of data from a very large base table?

Correct Answer: C
The search optimization service in Snowflake is designed to improve the performance of selective point lookup queries on large tables, which is ideal for scenarios where a query returns a small amount of data from a very large base table1. References: [COF-C02] SnowPro Core Certification Exam Study Guide
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Question 99

In Snowflake's data security framework, how does column-level security contribute to the protection of sensitive information? (Select TWO).

Correct Answer: D,E
Column-level security in Snowflake enhances data protection by restricting access and applying masking policies to sensitive data at the column level.
Limiting Access Based on User Privileges:
Column-level security allows administrators to define which users or roles have access to specific columns within a table.
This ensures that sensitive data is only accessible to authorized personnel, thereby reducing the risk of data breaches.
Application of Masking Policies:
Masking policies can be applied to columns to obfuscate sensitive data.
For example, credit card numbers can be masked to show only the last four digits, protecting the full number from being exposed.
Reference:
Snowflake Documentation: Column-Level Security
Snowflake Documentation: Dynamic Data Masking
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Question 100

Which of the following compute resources or features are managed by Snowflake? (Select TWO).

Correct Answer: C,E
Snowflake manages various compute resources and features, including Snowpipe and the ability to scale up a warehouse. Snowpipe is Snowflake's continuous data ingestion service that allows users to load data as soon as it becomes available. Scaling up a warehouse refers to increasing the compute resources allocated to a virtual warehouse to handle larger workloads or improve performance.
Reference:
[COF-C02] SnowPro Core Certification Exam Study Guide
Snowflake Documentation on Snowpipe and Virtual Warehouses1
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