Free COF-C02 Exam Dumps

Question 81

- (Topic 3)
Which Snowflake feature will allow small volumes of data to continuously load into Snowflake and will incrementally make the data available for analysis?

A. COPY INTO
B. CREATE PIPE
C. INSERT INTO
D. TABLE STREAM

Correct Answer:B
The Snowflake feature that allows for small volumes of data to be continuously loaded into Snowflake and incrementally made available for analysis is Snowpipe. Snowpipe is designed for near-real-time data loading, enabling data to be loaded as soon as it??s available in the storage layer3

Question 82

- (Topic 4)
Which Snowflake feature allows a user to track sensitive data for compliance, discovery, protection, and resource usage?

A. Tags
B. Comments
C. Internal tokenization
D. Row access policies

Correct Answer:A
Tags in Snowflake allow users to track sensitive data for compliance, discovery, protection, and resource usage. They enable the categorization and tracking of data, supporting compliance with privacy regulations678. References: [COF-C02] SnowPro Core Certification Exam Study Guide

Question 83

- (Topic 2)
What is the minimum Snowflake edition required to use Dynamic Data Masking?

A. Standard
B. Enterprise
C. Business Critical
D. Virtual Private Snowflake (VPC)

Correct Answer:B
The minimum Snowflake edition required to use Dynamic Data Masking is the Enterprise edition. This feature is not available in the Standard edition2.

Question 84

- (Topic 3)
Which statement describes pruning?

A. The filtering or disregarding of micro-partitions that are not needed to return a query.
B. The return of micro-partitions values that overlap with each other to reduce a query's runtime.
C. A service that is handled by the Snowflake Cloud Services layer to optimize caching.
D. The ability to allow the result of a query to be accessed as if it were a table.

Correct Answer:A
Pruning in Snowflake refers to the process of filtering or disregarding micro- partitions that are not needed to satisfy the conditions of a query. This optimization technique helps reduce the amount of data scanned, thereby improving query performance

Question 85

- (Topic 2)
Which of the following are best practices for loading data into Snowflake? (Choose three.)

A. Aim to produce data files that are between 100 MB and 250 MB in size, compressed.
B. Load data from files in a cloud storage service in a different region or cloud platform from the service or region containing the Snowflake account, to save on cost.
C. Enclose fields that contain delimiter characters in single or double quotes.
D. Split large files into a greater number of smaller files to distribute the load among the compute resources in an active warehouse.
E. When planning which warehouse(s) to use for data loading, start with the largest warehouse possible.
F. Partition the staged data into large folders with random paths, allowing Snowflake to determine the best way to load each file.

Correct Answer:ACD
Best practices for loading data into Snowflake include aiming for data file sizes between 100 MB and 250 MB when compressed, as this size is optimal for parallel processing and minimizes overhead. Enclosing fields with delimiter characters in quotes ensures proper field recognition during the load process. Splitting large files into smaller ones allows for better distribution of the load across compute resources, enhancing performance and efficiency.