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[General] SOL-C01ھ} - SOL-C01C

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General SOL-C01ھ} - SOL-C01C

Posted at 2/2/2026 01:35:41      View132 | Replies0        Print      Only Author   [Copy Link] 1#
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  • Data Protection and Data Sharing: This domain addresses continuous data protection through Time Travel and cloning, plus data collaboration capabilities via Snowflake Marketplace and private Data Exchange sharing.
} 2
  • Interacting with Snowflake and the Architecture: This domain covers Snowflake's elastic architecture, key user interfaces like Snowsight and Notebooks, and the object hierarchy including databases, schemas, tables, and views with practical navigation and code execution skills.
} 3
  • Data Loading and Virtual Warehouses: This domain covers loading structured, semi-structured, and unstructured data using stages and various methods, virtual warehouse configurations and scaling strategies, and Snowflake Cortex LLM functions for AI-powered operations.
} 4
  • Identity and Data Access Management: This domain focuses on Role-Based Access Control (RBAC) including role hierarchies and privileges, along with basic database administration tasks like creating objects, transferring ownership, and executing fundamental SQL commands.

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µ SnowPro Advanced SOL-C01 Mԇ} (Q37-Q42):} #37
A data engineer needs to create a new external stage in Snowflake to access data stored in AWS S3. The S3 bucket is encrypted using AWS KMS. Which of the following SQL commands is the MOST SECURE and complete way to create the stage, assuming the necessary IAM role and key ARN are already known and have the appropriate Snowflake permissions?

  • A. Option C
  • B. Option D
  • C. Option A
  • D. Option B
𰸣A
}f
Option C is the most secure because it uses an IAM role for authentication, which avoids storing long- term AWS keys directly in Snowflake. It also specifies the KMS encryption, which is necessary for accessing data encrypted with KMS. Option A uses AWS Keys, which is less secure. Option B doesn't provide the credentials. Option D only provides credentials with IAM role but not ENCRYPTION parameter for KMS encryption. Option E uses AWS Keys along with a token, which is still less secure than using an IAM role for authentication.

} #38
A Snowflake account has the 'DATA RETENTION TIME IN DAYS' parameter set to the maximum allowed value for Enterprise Edition. A user executes a large DELETE statement against a table, removing 90% of its rows. After 60 days, they realize they need to recover the deleted data.
Which of the following statements is CORRECT regarding the feasibility of recovering the data using Time Travel?
  • A. The data can be recovered, but only if the parameter was explicitly set to extend the retention period beyond the default.
  • B. The data cannot be recovered because the default retention period is only 1 day. The maximum retention of 90 days is only for Enterprise edition and higher, but only when extended with Snowflake support.
  • C. The data can be recovered, assuming the parameter was explicitly set to a value greater than or equal to 60 days for the table, database, or account.
  • D. The data can be recovered using Time Travel because the 'DATA RETENTION TIME IN DAYS' parameter is set to the maximum value.
𰸣C
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The 'DATA RETENTION TIME IN DAYS parameter needs to be explicitly set at the account, database, or table level for the desired retention period to be effective. If the parameter isn't set, the default retention period is used. Setting it to the maximum value without applying it to the relevant scope has no effect. It's important to note that Business Critical Edition can have up to
90 days of retention.

} #39
You have created a virtual warehouse in Snowflake and loaded data into several tables. You observe that query performance is inconsistent, with some queries running quickly and others taking significantly longer, even though they access similar data. You suspect resource contention is the issue. What steps can you take to improve query performance and manage resource contention effectively? Select all that apply.
  • A. Increase the size of the virtual warehouse to provide more computing resources.
  • B. Create separate virtual warehouses for different workloads (e.g., data loading, reporting) to isolate resource usage.
  • C. Implement workload management rules to prioritize critical queries and limit resource consumption for less important tasks.
  • D. Reduce the number of concurrent users accessing the system.
  • E. Enable query acceleration to offload suitable workloads and reduce warehouse load.
𰸣A,B,C,E
}f
Options A, B, C, and D are all valid strategies for improving query performance and managing resource contention. Increasing warehouse size (A) provides more resources. Query Acceleration Service(B) can significantly reduce latency for eligible queries and reduce overall warehouse load. Separate warehouses (C) isolate workloads. Workload management (D) allows prioritizing critical queries and limiting resources for others. Option E, while it might alleviate contention, is not a scalable solution and limits usability; better resource management is preferred.

} #40
In a Snowflake Notebook, you're attempting to read data from a Snowflake table named
'CUSTOMER DATA into a Pandas DataFrame for further analysis. The table contains a column named of data type TIMESTAMP NTZ. Which of the following Python code snippets will successfully read the data and preserve the 'CREATED_AT column as a datetime object in the DataFrame?

  • A. Option C
  • B. Option D
  • C. Option E
  • D. Option A
  • E. Option B
𰸣B,D
}f
Options A and D are the most efficient and correct. automatically handles the conversion of Snowflake TIMESTAMP NTZ to Pandas datetime objects. Option D `pd.read_sqr using the connection context is also good , which handles the conversion automatically as well. Option B fetches the data as tuples, requiring manual column naming and datetime conversion, and it is inefficient. Option C requires to work correctly. Option E cast timestamp column explicitly and defeats purpose.

} #41
You are developing a Snowpark Python application that needs to read data from an external stage. You have already created the stage named which points to an AWS S3 bucket containing Parquet files. However, when attempting to read the data using , you encounter an error indicating insufficient privileges. Which of the following actions are necessary to grant the Snowpark application the required permissions to access the data in the external stage?
Choose all that apply:
  • A. Ensure that the storage integration associated with has the appropriate AWS IAM role configured with read access to the S3 bucket.
  • B. Grant the 'USAGE privilege on the stage to the role that executes the Snowpark application.
  • C. Grant the 'EXECUTE TASK' privilege on the stage to the role that executes the Snowpark application.
  • D. Grant the 'SELECT privilege on the underlying S3 bucket to the role that executes the Snowpark application. (Note: You can't GRANT privileges on S3 Buckets via Snowflake)
  • E. Grant the 'READ privilege on the stage to the role that executes the Snowpark application. (Note:
    READ is not a real Snowflake Privilege on Stages)
𰸣A,B
}f
To access data in an external stage, the role executing the Snowpark application needs the
`USAGE privilege on the stage itself. Additionally, the storage integration associated with the stage needs to be properly configured with an AWS IAM role that has read access to the underlying S3 bucket. Granting USAGE grants the ability to 'use' the stage object in SQL statements. Without proper configuration of the IAM role and storage integration, Snowflake cannot authenticate with the S3 bucket to retrieve the data.

} #42
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