Latest 2026 Realistic Verified SOL-C01 Dumps - 100% Free SOL-C01 Exam Dumps [Q80-Q94]

February 19, 2026 SOL-C01, Snowflake 0 Comments

Latest 2026 Realistic Verified SOL-C01 Dumps – 100% Free SOL-C01 Exam Dumps [Q80-Q94]

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Latest 2026 Realistic Verified SOL-C01 Dumps – 100% Free SOL-C01 Exam Dumps

Get 2026 Updated Free Snowflake SOL-C01 Exam Questions and Answer

NEW QUESTION 80
A data engineering team is loading data from a CSV file containing customer information into a Snowflake table. The CSV file occasionally contains malformed data, such as missing fields or fields with incorrect data types (e.g., a string in a numeric field). The team wants to ensure that the loading process continues even when such errors occur, and that the problematic records are tracked for later analysis. Which of the following COPY INTO options should be used to achieve this, and how should the error be handled?

Use ‘ON_ERROR = ‘SKIP_FILE” to skip the entire file if any errors are encountered, and use
‘VALIDATION_MODE = to log all errors for later analysis.

Use ‘ON_ERROR = ‘SKIP_FILE” to skip the entire file if any errors are encountered, without logging details of the error.

Use ‘ON ERROR = ‘CONTINUE’` to allow the COPY statement to proceed even when errors are encountered, and use = FALSE’ to handle varying column counts. Direct invalid records to a quarantine table using ‘VALIDATION_MODE = RETURN ALL ERRORS.

Use ‘ON_ERROR = ‘SKIP_FILE” along with the ‘SIZE_LIMIT parameter to limit the size of the file that can be skipped.

Use ‘ON ERROR = ‘CONTINUE’` to allow the COPY statement to proceed even when errors are encountered, and use ‘VALIDATION MODE = along with ` RESULT_SCAN’ to retrieve error details and store them in a separate error table. Consider setting `ERROR MISMATCH = FALSE’ depending on file structure variability.

NEW QUESTION 81
Which data type in Snowflake is commonly used for storing semi-structured data?

BLOB

JSON

VARIANT

VARCHAR

NEW QUESTION 82
What SQL command will return a list of all files in a stage?

PUT

LIST

GET

COPY INTO

NEW QUESTION 83
What is the purpose of the COMPLETE function in Snowflake Cortex?

To parse documents

To translate languages

To classify text

To generate text completions based on a given prompt

NEW QUESTION 84
You are working with a semi-structured JSON dataset containing information about products. The JSON structure is as follows:

You need to extract all the `name’ attributes from the `attributes’ array into a single comma- separated string for each product. Which of the following Snowflake SQL statements would achieve this?

NEW QUESTION 85
What is a key feature of custom roles in Snowflake? (Choose any 2 options)

They cannot be granted to users

They can be tailored to specific organizational requirements

They have predefined privileges

They are created by Snowflake administrators

NEW QUESTION 86
When unloading data from a Snowflake table, what is the target destination for the COPY INTO @stage command?

An internal or external stage

Another Snowflake table

A local file system

A data stream

NEW QUESTION 87
You are using Snowflake Notebooks to create a visualization based on data retrieved from a Snowflake table. You have the following code in a cell:

The code will execute successfully, display a scatter plot of ‘sales’ vs. ‘profit’, and automatically commit the changes to the ‘SALES_DATA’ table.

The code will execute successfully and display a scatter plot of ‘sales’ vs. ‘profit’, but any DML changes in the notebook will not automatically commited until explict commit command executed.

The code will fail because the `snowflake.connector’ library is not designed for data visualization within Snowflake Notebooks.

The code will execute successfully and display a scatter plot, but the changes to the ‘SALES DATA’ table will need to be committed using a separate `commit’ command within another cell.

The code will fail because the visualization libraries (e.g., matplotlib) are not pre-installed in Snowflake Notebooks environment and need to be installed first.

NEW QUESTION 88
You are a data provider and want to share a table ‘SALES DATA with two different consumer accounts, and ‘ACCOUNT B’ , using direct shares. However, you want to provide a filtered view of the data to (only sales from region ‘East’) and the full table to ‘ACCOUNT Which of the following approaches is the MOST efficient and secure way to accomplish this?

Create a share for containing the ‘SALES_DATX table and then create another share for
‘ACCOUNT_B’ containing the same ‘SALES_DATA’ table.

Create a view ‘SALES DATA EAST filtered for ‘East’ region. Create a share for ‘ACCOUNT_X containing Create another share for ‘ACCOUNT containing ‘SALES DATA.

Create a secure view ‘SECURE SALES DATA_EAST filtered for ‘East’ region. create a share for
‘ACCOUNT_X containing Create another share for `ACCOUNT B’ containing ‘SALES DATA’.

Create a materialized view `MAT SALES DATA_EAST filtered for ‘East’ region. create a share for
‘ACCOUNT_X containing Create another share for `ACCOUNT B’ containing ‘SALES DATA’.

Share the entire table with both accounts and implement row-level security policies on the table, filtering data based on account identifiers.

NEW QUESTION 89
You have a table ‘DOCUMENT STORE’ with a column ‘FILE CONTENT’ of type BINARY containing PDF files. You want to extract text from these PDFs using ‘PARSE DOCUMENT and store the extracted text along with the file name in a new table ‘EXTRACTED TEXT. Which of the following code snippets correctly implements this, assuming you have a virtual warehouse named
‘COMPUTE WH’?

NEW QUESTION 90
What tasks can be performed using Snowflake Cortex AI? (Select TWO).

Simplify unstructured data workflows.

Share data through the Snowflake Marketplace.

Load semi-structured data.

Extract and classify text.

Enhanced data security.

NEW QUESTION 91
You are using a Snowflake Notebook to build a Streamlit dashboard that allows users to filter sales data based on region and product category. The sales data is in a Snowflake table named
‘SALES’. You want to enable users to select multiple regions and product categories from multi- select boxes in the Streamlit application. How would you construct the SQL query to efficiently filter the data based on the user’s selections, using parameters passed from Streamlit?

NEW QUESTION 92
A data engineering team is tasked with loading a large dataset (5TB) into Snowflake from an external S3 bucket. The data loading process is experiencing significant performance bottlenecks. Which of the following strategies would MOST effectively improve the data loading performance, assuming the network bandwidth between Snowflake and S3 is sufficient?

Increase the size of the virtual warehouse to a larger size (e.g., from SMALL to LARGE) before loading the data, and then resize it back down after the load is complete.

Use multiple virtual warehouses concurrently to load different subsets of the data from S3.

Use a larger virtual warehouse indefinitely to handle any potential performance peaks, even after the initial data load.

Disable auto-suspend on the virtual warehouse to prevent it from idling during the data load.

Partition the data in S3 into smaller files and ensure the virtual warehouse is appropriately sized for concurrent processing of these files.

NEW QUESTION 93
Which types of stages are available in Snowflake? (Choose any 2 options)

Internal

External

Public

Private

NEW QUESTION 94
A team is developing a data pipeline to load data from various sources into Snowflake. They are using external stages pointing to AWS S3 buckets and want to ensure maximum security and isolation between different pipelines accessing these stages. Which of the following security measures should they implement? (Choose TWO)

Grant the ‘ACCOUNTADMIN’ role to all users who need to access the stages.

Use separate IAM roles for each pipeline, granting each role only the necessary permissions to access its specific S3 bucket.

Store all data files in a single S3 bucket and grant a single IAM role access to the entire bucket.

Create separate external stages for each pipeline, each pointing to its specific S3 bucket and associated with its own IAM role.

Disable network policies on the Snowflake account to allow access from any IP address.