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[Hardware] Real Exam Experience with the Snowflake SOL-C01 Practice Test

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【Hardware】 Real Exam Experience with the Snowflake SOL-C01 Practice Test

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Snowflake Certified SnowPro Associate - Platform Certification Sample Questions (Q118-Q123):NEW QUESTION # 118
You are tasked with securing sensitive data in a table called `CUSTOMER DATA'. You want to grant the 'SELECT privilege on this table to a role called 'ANALYST ROLE, but prevent them from seeing the 'CREDIT CARD NUMBER column, which contains personally identifiable information (PII). Which of the following approaches are valid in Snowflake to achieve this?
  • A. Create a view on 'CUSTOMER_DATA' that excludes the column and grant 'SELECT' on the view to 'ANALYST_ROLE.
  • B. Apply a row access policy to filter out rows containing sensitive information when accessed by
    'ANALYST_ROLE.
  • C. Use dynamic data masking on the column and grant the 'UNMASK' privilege to only specific roles other than 'ANALYST_ROLE'.
  • D. Create a secure view on 'CUSTOMER DATA that excludes the 'CREDIT CARD NUMBER column and grant 'SELECT on the secure view to 'ANALYST ROLE.
  • E. Grant `SELECT on 'CUSTOMER_DATA' to 'ANALYST_ROLE and then 'REVOKE SELECT specifically on the column.
Answer: A,C,D
Explanation:
Option A is valid: Creating a view and granting 'SELECT on the view allows you to control which columns are visible to the 'ANALYST ROLE. Option B is valid: Dynamic data masking allows you to mask the sensitive column for unauthorized users (in this case, 'ANALYST_ROLE') while allowing authorized users to see the unmasked data using the 'UNMASK' privilege. Option C is invalid: You cannot revoke privileges on a specific column; privileges are granted and revoked at the table level. Option D is incorrect: Row Access Policies filter rows, not columns. Option E is valid: Secure views are the most secure way to filter the specific data.

NEW QUESTION # 119
What cell types are available in Snowflake Notebooks? (Select THREE).
  • A. Scala
  • B. R
  • C. Python
  • D. SQL
  • E. Java
  • F. Markdown
Answer: C,D,F
Explanation:
Snowflake Notebooks currently support three primary cell types: SQL, Python, and Markdown. SQL cells allow users to execute SQL queries directly against Snowflake data. Python cells enable computation, data transformation, machine learning, and visualization using Snowpark, pandas-like APIs, and Python libraries.
Markdown cells provide rich text formatting to document workflows, add explanations, and create readable narratives within the notebook.
Languages such as Java, Scala, and R are supported by Snowflake outside notebooks-for example, through Snowpark APIs or external integrations-but they cannot be used directly as Notebook cell types. Notebooks are designed to integrate SQL and Python seamlessly while providing a documentation layer, making SQL, Python, and Markdown the correct and only supported options.

NEW QUESTION # 120
What is the Snowsight object browser used for?
  • A. To manage virtual warehouses
  • B. To view and filter database objects
  • C. To create Snowsight worksheets
  • D. To modify security settings for objects
Answer: B
Explanation:
The Snowsight object browser is Snowflake's built-in visual interface for exploring and navigating all database objects within an account. It provides a hierarchical view across databases, schemas, and contained objects such as tables, views, stages, pipes, file formats, procedures, and functions. The key purpose of the object browser is to make it easy for users to view and filter database objects without needing SQL commands. Users can search objects by name, apply filters, preview table metadata, and inspect properties such as storage usage or row counts.
The object browser does not manage warehouses; warehouse management is done under the "Warehouses" section. It also does not create worksheets; worksheets are created in the "Worksheets" section. Additionally, the object browser does not modify security settings-permissions and grants are controlled through SQL (GRANT, REVOKE, SHOW GRANTS) or through the Access Control interfaces.
In summary, the object browser is a discovery and navigation layer, allowing users to efficiently find, inspect, and explore Snowflake objects.

NEW QUESTION # 121
How do you drop a schema named "temp_schema" in Snowflake?
  • A. DROP VIEW temp_schema;
  • B. DROP SCHEMA temp_schema;
  • C. DROP DATABASE temp_schema;
  • D. DELETE SCHEMA temp_schema;
Answer: B
Explanation:
The correct SQL command for removing a schema in Snowflake is:
DROP SCHEMA temp_schema;
This command deletes the schema and all objects contained within it, including tables, views, stages, file formats, and sequences. Snowflake performs this operation atomically, ensuring metadata consistency during the drop process. Users can also includeIF EXISTSor theCASCADEkeyword to handle dependencies more explicitly:
DROP SCHEMA IF EXISTS temp_schema CASCADE;
This safely handles scenarios where the schema may not exist or contains objects that would normally block deletion.
Incorrect options:
* DROP DATABASE temp_schemaremoves an entire database, not a schema.
* DELETE SCHEMAis not valid SQL; SQL uses DROP for schema removal.
* DROP VIEW temp_schemaapplies only to removing a view object.
Dropping a schema requires USAGE and OWNERSHIP privileges, typically granted to roles such as SYSADMIN or ACCOUNTADMIN.

NEW QUESTION # 122
You have a Snowflake environment with a database named 'ANALYTICS DB'. You need to load data into a table named 'CUSTOMER DATA' that resides in a schema called 'RAW DATA" within
'ANALYTICS DB'. The data is staged in an internal stage called '@RAW DATA STAGE'. You encounter an error during the 'COPY INTO' command. Identify TWO potential reasons that could be causing this error, assuming the stage exists, the file format is correctly specified, and the data file is present.
  • A. The role executing the 'COPY INTO' command lacks the SUSAGE' privilege on the 'RAW DATA' schema.
  • B. The `RAW DATA' schema does not exist within the 'ANALYTICS DB' database.
  • C. The warehouse associated with the current session has not been resumed, so resources aren't available.
  • D. The table has a defined primary key, but the data in the staged file contains duplicate key values.
  • E. The user executing the `COPY INTO' command does not have the 'OWNERSHIP' privilege on the
    `RAW DATA STAGE
Answer: A,B
Explanation:
The ` USAGE privilege on a schema is required to access objects within that schema. If the role lacks this privilege, it will not be able to access the `CUSTOMER DATA table for the `COPY INTO' command. If the schema does not exist, then the 'COPY INTO' command can not find it and throws an error. Having no ownership on the stage is not important in this operation; COPY INTO commands need the READ privilege on the stage, not ownership. Option C assumes there is a primary key, and while this could cause failure, it isn't always the reason. If a warehouse is suspended, Snowflake should automatically resume it when a query is run.

NEW QUESTION # 123
......
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