Snowflake COF-C02 Practice Test - Questions Answers, Page 5

To address a high volume of queries queuing in a warehouse, Snowflake recommends two best practices:

A . Use multi-clustered warehousing to scale out warehouse capacity: This approach allows for the distribution of queries across multiple clusters within a warehouse, effectively managing the load and reducing the queue volume.

B . Scale up the warehouse size to allow Queries to execute faster: Increasing the size of the warehouse provides more compute resources, which can reduce the time it takes for queries to execute and thus decrease the number of queries waiting in the queue.

These strategies help to optimize the performance of the warehouse by ensuring that resources are scaled appropriately to meet demand.

References:

Snowflake Documentation on Multi-Cluster Warehousing

SnowPro Core Certification best practices

Secure data sharing in Snowflake allows users to share various objects between Snowflake accounts without physically copying the data, thus not consuming additional storage. Among the options provided, external tables can be shared through secure data sharing. External tables are used to query data directly from files in a stage without loading the data into Snowflake tables, making them suitable for sharing across different Snowflake accounts.

References:

Snowflake Documentation on Secure Data Sharing

SnowPro Core Certification Companion: Hands-on Preparation and Practice

In Snowflake, a reader account is a type of account that is intended for consuming shared data rather than performing any data management or DDL operations. TheCREATE SHAREcommand is used to share data from your account with another account, which is not a capability provided to reader accounts. Reader accounts are typically restricted from creating shares, as their primary purpose is to read shared data rather than to share it themselves.

References:

Snowflake Documentation on Reader Accounts

SnowPro Core Certification Study Guide

The commandlist @mystage;is used to view the list of files that have been uploaded to an internal stage in Snowflake. Thelistcommand displays the metadata for all files in the specified stage, which in this case ismystage. This command is particularly useful for verifying that files have been successfully unloaded from a Snowflake table to the stage and for managing the files within the stage.

References:

Snowflake Documentation on Stages

SnowPro Core Certification Study Guide

In all Snowflake editions, two key capabilities are universally available:

B . Automatic encryption of all data: Snowflake automatically encrypts all data stored in its platform, ensuring security and compliance with various regulations. This encryption is transparent to users and does not require any configuration or management.

D . Object-level access control: Snowflake provides granular access control mechanisms that allow administrators to define permissions at the object level, including databases, schemas, tables, and views. This ensures that only authorized users can access specific data objects.

These features are part of Snowflake's commitment to security and governance, and they are included in every edition of the Snowflake Data Cloud.

References:

Snowflake Documentation on Security Features

SnowPro Core Certification Exam Study Guide

TheCOPY INTOcommand is used in Snowflake to unload data from a table into a file in a stage. This command allows for the export of data from Snowflake tables into flat files, which can then be used for further analysis, processing, or storage in external systems.

References:

Snowflake Documentation on Unloading Data

Snowflake SnowPro Core: Copy Into Command to Unload Rows to Files in Named Stage

Snowflake automatically rotates encryption keys when they are more than 30 days old. Active keys are retired, and new keys are created. This process is part of Snowflake's comprehensive security measures to ensure data protection and is managed entirely by the Snowflake service without requiring user intervention.

References:

Understanding Encryption Key Management in Snowflake

A VARIANT column in Snowflake can store semi-structured data types. This includes:

B . OBJECT: An object is a collection of key-value pairs in JSON, and a VARIANT column can store this type of data structure.

D . ARRAY: An array is an ordered list of zero or more values, which can be of any variant-supported data type, including objects or other arrays.

The VARIANT data type is specifically designed to handle semi-structured data like JSON, Avro, ORC, Parquet, or XML, allowing for the storage of nested and complex data structures.

References:

Snowflake Documentation on Semi-Structured Data Types

SnowPro Core Certification Study Guide

The most efficient way to get files into Snowflake, especially when new files are being written to a cloud storage location at frequent intervals, is to use Snowpipe with auto-ingest. Snowpipe is Snowflake's continuous data ingestion service that loads data as soon as it becomes available in a cloud storage location. By setting up cloud provider notifications, Snowpipe can be triggered automatically whenever new files are written to the storage location, ensuring that the data is loaded into Snowflake with minimal latency and without the need for manual intervention or scheduling frequent tasks.

References:

Snowflake Documentation on Snowpipe

SnowPro Core Certification Study Guide