What is the PRIMARY factor that determines the cost of using a virtual warehouse in Snowflake?
The type of SQL statements executed
The number of tables or databases queried
The amount of data stored in the warehouse
The length of time the compute resources in each cluster run
The primary factor that determines the cost of using a virtual warehouse in Snowflake is D. The length of time the compute resources in each cluster run. Snowflake's pricing model for compute usage is based on the concept of Snowflake credits, which are consumed based on the time virtual warehouses are running and the size of the warehouses. The more compute resources are utilized and the longer they run, the more credits are consumed, which directly impacts the cost.
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Which privilege is needed for a SnowFlake user to see the definition of a secure view?
OWNERSHIP
MODIFY
CREATE
USAGE
To see the definition of a secure view in Snowflake, the minimum privilege required is OWNERSHIP of the view. Ownership grants the ability to view the definition as well as to modify or drop the view. Secure views are designed to protect sensitive data, and thus the definition of these views is restricted to users with sufficient privileges to ensure data security.
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Which of the following SQL statements will list the version of the drivers currently being used?
Execute SELECT CURRENT_ODBC_CLlENT(); from the Web Ul
Execute SELECT CURRENT_JDBC_VERSION() ; from SnowSQL
Execute SELECT CURRENT_CLIENT(); from an application
Execute SELECT CURRENT_VERSION (); from the Python Connector
The correct SQL statement to list the version of the JDBC (Java Database Connectivity) drivers currently being used is to execute SELECT CURRENT_JDBC_VERSION(); from within SnowSQL or any client application that utilizes JDBC for connecting to Snowflake. Snowflake provides specific functions to query the version of the client drivers or connectors being used, such as JDBC, ODBC, and others. The CURRENT_JDBC_VERSION() function is designed specifically to return the version of the JDBC driver in use.
It's important to note that Snowflake supports various types of drivers and connectors for connecting to different client applications, including ODBC, JDBC, Python, and others. Each of these connectors has its own method or function for querying the current version in use. For JDBC, the appropriate function is CURRENT_JDBC_VERSION(), reflecting the specificity required to obtain version information relevant to the JDBC driver specifically.
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Which function returns the URL of a stage using the stage name as the input?
BUILD_STAGE_FILE_URL
BUILD_SCOPED_FILE_URL
GET_PRESIGNED_URL
GET STAGE LOCATION
The function in Snowflake that returns the URL of a stage using the stage name as the input is C. GET_PRESIGNED_URL. This function generates a pre-signed URL for a specific file in a stage, enabling secure, temporary access to that file without requiring Snowflake credentials. While the function is primarily used for accessing files in external stages, such as Amazon S3 buckets, it is instrumental in scenarios requiring direct, secure file access for a limited time.
It's important to note that as of my last update, Snowflake's documentation does not specifically list a function named GET_PRESIGNED_URL for directly obtaining a stage's URL by its name. The description aligns closely with functionality available in cloud storage services (e.g., AWS S3's presigned URLs) which can be used in conjunction with Snowflake stages for secure, temporary access to files. For direct interaction with stages and their files, Snowflake offers various functions and commands, but the exact match for generating a presigned URL through a simple function call may vary or require leveraging external cloud services APIs in addition to Snowflake's capabilities.
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How does the Access_History view enhance overall data governance pertaining to read and write operations? (Select TWO).
Shows how the accessed data was moved from the source lo the target objects
Provides a unified picture of what data was accessed and when it was accessed
Protects sensitive data from unauthorized access while allowing authorized users to access it at query runtime
Identifies columns with personal information and tags them so masking policies can be applied to protect sensitive data
Determines whether a given row in a table can be accessed by the user by filtering the data based on a given policy
The ACCESS_HISTORY view in Snowflake is a powerful tool for enhancing data governance, especially concerning monitoring and auditing data access patterns for both read and write operations. The key ways in which ACCESS_HISTORY enhances overall data governance are:
ACCESS_HISTORY does not automatically apply data masking or tag columns with personal information. However, the insights derived from analyzing ACCESS_HISTORY can be used to identify sensitive data and inform the application of masking policies or other security measures.
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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
Which chart type is supported in Snowsight for Snowflake users to visualize data with dashboards?
Area chart
Box plot
Heat grid
Pie chart
Snowsight, Snowflake's user interface for exploring, analyzing, and visualizing data, supports a variety of chart types for creating dashboards and visualizations. One of the supported chart types in Snowsight is the Area Chart (A). Area charts are useful for representing quantities over time and can be used to highlight volume change and rate of change, as well as to compare multiple quantities.
While Snowsight supports many types of visualizations to help users analyze their data effectively, including line charts, bar charts, and scatter plots, it's important to select the specific reference documentation or release notes for the most current list of supported chart types, as Snowflake continues to enhance and update Snowsight's capabilities.
As of the last update, Box plots (B), Heat grids (C), and Pie charts (D) are types of visualizations that may be supported in various analytics and visualization tools, but for the specific context of Snowsight's currently confirmed features, Area charts are a verified option for users to visualize their data.
What does Snowflake recommend a user do if they need to connect to Snowflake with a tool or technology mat is not listed in Snowflake partner ecosystem?
Use Snowflake's native API.
Use a custom-built connector.
Contact Snowflake Support for a new driver.
Connect through Snowflake’s JDBC or ODBC drivers
If a user needs to connect to Snowflake with a tool or technology that is not listed in Snowflake's partner ecosystem, Snowflake recommends using its JDBC or ODBC drivers. These drivers provide a standard method of connecting from various tools and programming languages to Snowflake, offering wide compatibility and flexibility. By using these drivers, users can establish connections to Snowflake from their applications, ensuring they can leverage the capabilities of Snowflake regardless of the specific tools or technologies they are using.References: Snowflake Documentation on Client Drivers
When a Snowflake user loads CSV data from a stage, which copy into