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Individuals can register for Snowflake COF-C02: SnowPro Core Certification Exam on the Snowflake website. COF-C02 exam is available online and can be taken from anywhere, at any time. The cost of the exam is $175 USD per attempt, and individuals must pass with a score of 80% or higher to earn the certification.

NO.225 A Snowflake user is writing a User-Defined Function (UDF) that includes some unqualified object names.
How will those object names be resolved during execution?

Snowflake will resolve them according to the SEARCH_PATH parameter.

Snowflake will only check the schema the UDF belongs to.

Snowflake will first check the current schema, and then the schema the previous query used

Snowflake will first check the current schema, and them the PUBLIC schema of the current database.

NO.226 What do temporary and transient tables have m common in Snowflake? (Select TWO).

Both tables have no Fail-safe period.

Both tables have data retention period maximums of one day.

Both tables are visible only to a single user session.

For both tables the retention period ends when the tables are dropped.

For both tables, the retention period does not end when the session ends

NO.227 Which of the following activities consume virtual warehouse credits in the Snowflake environment? (Choose two.)

Caching query results

Running EXPLAIN and SHOW commands

Cloning a database

Running a custom query

Running COPY commands

Running EXPLAIN and SHOW commands, as well as running a custom query, consume virtual warehouse credits in the Snowflake environment. These activities require computational resources, and therefore, credits are used to account for the usage of these resources. References: [COF-C02] SnowPro Core Certification Exam Study Guide

NO.228 Which of the following describes a Snowflake stored procedure?

They can be created as secure and hide the underlying metadata from the user.

They can only access tables from a single database.

They can contain only a single SQL statement.

They can be created to run with a caller’s rights or an owner’s rights.

Snowflake stored procedures can be created to execute with the privileges of the role that owns the procedure (owner’s rights) or with the privileges of the role that calls the procedure (caller’s rights). This allows for flexibility in managing security and access control within Snowflake1.

NO.229 Which feature allows a user the ability to control the organization of data in a micro-partition?

Range Partitioning

Search Optimization Service

Automatic Clustering

Horizontal Partitioning

NO.230 What does Snowflake recommend for a user assigned the ACCOUNTADMIN role?

The ACCCUKTMKIN role should be set as tie user’s default role.

The user should use federated authentication instead of a password

The user should be required to use Multi-Factor Authentication (MFA).

There should be just one user with the ACCOUNTADMIN role in each Snowflake account.

For users assigned the ACCOUNTADMIN role, Snowflake recommends enforcing Multi-Factor Authentication (MFA) to enhance security. The ACCOUNTADMIN role has extensive permissions, making it crucial to secure accounts held by such users against unauthorized access. MFA adds an additional layer of security by requiring a second form of verification beyond just the username and password, significantly reducing the risk of account compromise.References: Snowflake Security Best Practices

NO.231 True or False: Query ID’s are unique across all Snowflake deployments and can be used in communication with Snowflake Support to help troubleshoot issues.

Wahr

Falsch

NO.232 What type of account can be used to share data with a consumer who does have a Snowflake account?

Data provider

Data consumer

Reader

Organization

A Reader account in Snowflake can be used to share data with a consumer who does not have a Snowflake account. Reader accounts are a type of shared account provided by data providers to external data consumers, allowing them to access and query shared data using Snowflake’s web interface without needing their own Snowflake account.
Referenzen:
* Snowflake Documentation: Reader Accounts

NO.233 What are the default Time Travel and Fail-safe retention periods for transient tables?

Time Travel – 1 day. Fail-safe – 1 day

Time Travel – 0 days. Fail-safe – 1 day

Time Travel – 1 day. Fail-safe – 0 days

Transient tables are retained in neither Fail-safe nor Time Travel

Transient tables in Snowflake have a default Time Travel retention period of 1 day, which allows users to access historical data within the last 24 hours. However, transient tables do not have a Fail-safe period.
Fail-safe is an additional layer of data protection that retains data beyond the Time Travel period for recovery purposes in case of extreme data loss. Since transient tables are designed for temporary or intermediate workloads with no requirement for long-term durability, they do not include a Fail-safe period by default1.
Referenzen:
* Snowflake Documentation on Storage Costs for Time Travel and Fail-safe

NO.234 The VALIDATE table function has which parameter as an input argument for a Snowflake user?

Last_QUERY_ID

CURRENT_STATEMENT

UUID_STRING

JOB_ID

The VALIDATE table function in Snowflake would typically use a unique identifier, such as a UUID_STRING, as an input argument. This function is designed to validate the data within a table against a set of constraints or conditions, often requiring a specific identifier to reference the particular data or job being validated.
Referenzen:
* There is no direct reference to a VALIDATE table function with these specific parameters in Snowflake documentation. It seems like a theoretical example for understanding function arguments. Snowflake documentation on UDFs and system functions can provide guidance on how to create and use custom functions for similar purposes.

NO.235 Which Snowflake layer is associated with virtual warehouses?

Cloud services

Query processing

Elastic memory

Database storage

NO.236 Why would a Snowflake user load JSON data into a VARIANT column instead of a string column?

A VARIANT column is more secure than a string column

A VARIANT column compresses data and a string column does not.

A variant column can be used to create a data hierarchy and a string column cannot

A VARIANT column will have a better query performance than a string column.

A VARIANT column in Snowflake is specifically designed to store semi-structured data, such as JSON, and allows for the creation of a data hierarchy. Unlike string columns, VARIANT columns can natively handle JSON data structures, enabling complex querying and manipulation of hierarchical data using functions designed for semi-structured data.
Referenz:
Snowflake Documentation: VARIANT Data

NO.237 Which cache type is used to cache data output from SQL queries?

Metadata cache

Result cache

Remote cache

Local file cache

The Result cache is used in Snowflake to cache the data output from SQL queries. This feature is designed to improve performance by storing the results of queries for a period of time. When the same or similar query is executed again, Snowflake can retrieve the result from this cache instead of re-computing the result, which saves time and computational resources.
Referenz:
Snowflake Documentation on Query Results Cache
SnowPro Core Certification Study Guide

NO.238 Which query contains a Snowflake hosted file URL in a directory table for a stage named bronzestage?

list @bronzestage;

select * from directory(@bronzestage);

select metadata$filename from @bronzestage;

select * from table(information_schema.stage_directory_file_registration_history(

stage name=>’bronzestage1));
Erläuterung:
The query that contains a Snowflake hosted file URL in a directory table for a stage named bronzestage is select * from directory(@bronzestage). This query retrieves a list of all files on the stage along with metadata, including the Snowflake file URL for each file3.

NO.239 What is used to diagnose and troubleshoot network connections to Snowflake?

SnowCD

Snowpark

Snowsight

SnowSQL

NO.240 What are value types that a VARIANT column can store? (Select TWO)

STRUCT

OBJECT

BINARY

ARRAY

CLOB

Characteristics of a VARIANT
A VARIANT can store a value of any other type, including OBJECT and ARRAY. The maximum length of a VARIANT is 16 MB.
https://docs.snowflake.com/en/sql-reference/data-types-semistructured.html#:~:text=VARIANT-,Characteristics%20of%20a%20VARIANT,a%20VARIANT%20is%2016%20MB.

NO.241 What happens when an external or an internal stage is dropped? (Select TWO).

When dropping an external stage, the files are not removed and only the stage is dropped

When dropping an external stage, both the stage and the files within the stage are removed

When dropping an internal stage, the files are deleted with the stage and the files are recoverable

When dropping an internal stage, the files are deleted with the stage and the files are not recoverable

When dropping an internal stage, only selected files are deleted with the stage and are not recoverable

When an external stage is dropped in Snowflake, the reference to the external storage location is removed, but the actual files within the external storage (like Amazon S3, Google Cloud Storage, or Microsoft Azure) are not deleted. This means that the data remains intact in the external storage location, and only the stage object in Snowflake is removed.
On the other hand, when an internal stage is dropped, any files that were uploaded to the stage are deleted along with the stage itself. These files are not recoverable once the internal stage is dropped, as they are permanently removed from Snowflake’s storage.
Referenzen:
* [COF-C02] SnowPro Core Certification Exam Study Guide
* Snowflake Documentation on Stages

NO.242 Snowflake users can create a resource monitor at which levels? (Select TWO).

User level

Pipe level

Account level

Cloud services level

Virtual warehouse level

Resource monitors in Snowflake are tools used to track and control the consumption of compute resources, ensuring that usage stays within defined limits. These monitors can be created at the account level, allowing administrators to set overall resource consumption limits for the entire Snowflake account. Additionally, resource monitors can be set at the virtual warehouse level, enabling more granular control over the resources consumed by individual warehouses. This dual-level capability allows organizations to manage their Snowflake usage efficiently, preventing unexpected costs and optimizing performance.References: Snowflake Documentation on Resource Monitors Top of Form

NO.243 What are the correct parameters for time travel and fail-safe in the Snowflake Enterprise Edition?

Default Time Travel Retention is set to 0 days.
Maximum Time Travel Retention is 30 days.
Fail Safe retention time is 1 day.

Default Time Travel Retention is set to 1 day.
Maximum Time Travel Retention is 365 days.
Fail Safe retention time is 7 days.

Default Time Travel Retention is set to 0 days.
Maximum Time Travel Retention is 90 days.
Fail Safe retention time is 7 days.

Default Time Travel Retention is set to 1 day.
Maximum Time Travel Retention is 90 days.
Fail Safe retention time is 7 days.

Default Time Travel Retention is set to 7 days.
Maximum Time Travel Retention is 1 day.
Fail Safe retention time is 90 days.

Default Time Travel Retention is set to 90 days.
Maximum Time Travel Retention is 7 days.
Fail Safe retention time is 356 days.

In the Snowflake Enterprise Edition, the default Time Travel retention is set to 1 day, the maximum Time Travel retention can be set up to 90 days, and the Fail-safe retention time is 7 days3.

NO.244 Which of the following can be executed/called with Snowpipe?

A User Defined Function (UDF)

A stored procedure

A single copy_into statement

A single insert__into statement

Snowpipe is used for continuous, automated data loading into Snowflake. It uses a COPY INTO <table> statement within a pipe object to load data from files as soon as they are available in a stage. Snowpipe does not execute UDFs, stored procedures, or insert statements. Reference: Snowpipe | Snowflake Documentation

NO.245 Which Snowflake feature records changes mace to a table so actions can be taken using that change data capture?

Materialized View

Rohrleitung

Stream

Aufgabe

Snowflake’s Streams feature is specifically designed for change data capture (CDC). A stream records insert, update, and delete operations performed on a table, and allows users to query these changes. This enables actions to be taken on the changed data, facilitating processes like incremental data loads and real-time analytics. Streams provide a powerful mechanism for applications to respond to data changes in Snowflake tables efficiently.
Reference: Snowflake Documentation on Streams

NO.246 Which features could be used to improve the performance of queries that return a small subset of rows from a large table? (Select TWO).

Search optimization service

Automatic clustering

Row access policies

Multi-cluster virtual warehouses

Secure views

The search optimization service and automatic clustering are features that can improve the performance of queries returning a small subset of rows from a large table. The search optimization service is designed for low-latency point lookup queries, while automatic clustering organizes data in micro-partitions based on specific dimensions to reduce the amount of data scanned during queries.

Laden …

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