Snowflake SnowPro Core Practice Test - Questions Answers, Page 13

Search optimization in Snowflake is designed to improve the performance of queries that are selective and involve point lookup operations using equality and IN predicates.It is particularly beneficial for queries that access columns with a high number of distinct values1.

Reference = [COF-C02] SnowPro Core Certification Exam Study Guide, Snowflake Documentation

Snowflake virtual warehouses support a configuration file and command line options in SnowSQL to specify a default warehouse, which is characteristic C. Additionally, the size of a virtual warehouse can be changed at any time, which is characteristic E.These features provide flexibility and ease of use in managing compute resources2.

Reference = [COF-C02] SnowPro Core Certification Exam Study Guide, Snowflake Documentation

The COPY command is used in Snowflake to load data from files located in an external stage into a table.This command allows for efficient and parallelized data loading from various file formats1.

Reference = [COF-C02] SnowPro Core Certification Exam Study Guide, Snowflake Documentation

Snowflake's architecture is described as a multi-cluster, shared data architecture.This design combines the simplicity of a shared-disk architecture with the performance and scale-out benefits of a shared-nothing architecture, using a central repository accessible from all compute nodes2.

Reference = [COF-C02] SnowPro Core Certification Exam Study Guide, Snowflake Documentation

Protegrity is listed as a data tokenization integration partner for Snowflake.This partnership allows Snowflake users to utilize Protegrity's tokenization solutions within the Snowflake environment3.

Reference = [COF-C02] SnowPro Core Certification Exam Study Guide, Snowflake Documentation

To manage compliance with Personal Identifiable Information (PII) requirements, the Virtual Private Snowflake and Business Critical Editions of Snowflake should be used.These editions provide advanced security features necessary for handling sensitive data

The supported file formats for unloading data from Snowflake include JSON, Parquet, and CSV.These formats are commonly used for their flexibility and compatibility with various data processing tools

The Snowflake cloud services layer is responsible for tasks such as authentication and access control, ensuring secure access to the platform, and metadata management, which involves organizing and maintaining information about the data stored in Snowflake56.

When publishing a Snowflake Data Marketplace listing into a remote region, it's important to note that while the listing is replicated into all selected regions automatically, the data itself is not. Therefore, the data must be replicated separately.Additionally, the user must have the ORGADMIN role in at least one account to manage the replication of accounts1.