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Snowflake SOL-C01 Exam Questions
- Topic 1: 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.
- Topic 2: 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.
- Topic 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.
- Topic 4: 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.
Free Snowflake SOL-C01 Exam Actual Questions
Note: Premium Questions for SOL-C01 were last updated On Jul. 12, 2026 (see below)
What are the benefits of using the Snowsight data loading interface? (Select TWO).
Snowsight's file-loading interface:
*Automatically detects data typesby inspecting column values.
*Loads (inserts) file contents directly into a table, either a new table or an existing one.
Snowsight does not automatically create permanent file formats, does not merge rows, and does not optimize warehouse-level performance.
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What filter can be used when searching for data products on the Snowflake Marketplace?
On the Snowflake Marketplace, users can apply a Price filter when searching for data products. This filter helps distinguish between free offerings and paid listings, making it easier to align data acquisition with budget and commercial terms. Marketplace metadata includes pricing information that this filter uses to refine search results.
Dataset ''Size'' is not exposed as a primary Marketplace search filter. ''Compatibility'' is implied, as all Marketplace products are consumable within Snowflake. ''Performance'' is not a filterable attribute, because performance is influenced mainly by the consumer's compute configuration and query design, rather than a fixed property of the Marketplace listing.
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What is the primary purpose of the COPY INTO command in Snowflake for data loading?
COPY INTO <table> bulk-loads data from internal or external stages into Snowflake tables. It supports transformations, validation, and multiple file formats.
It does not replicate databases, manage roles, or create warehouses.
What is the purpose of the PARSE_JSON function in Snowflake?
The PARSE_JSON() function ingests a string containing JSON text and converts it into Snowflake'sVARIANTdata type, enabling the JSON to be queried, navigated, and transformed using SQL. Snowflake does not store JSON in its raw textual representation; instead, VARIANT allows Snowflake to apply optimized parsing, indexing, and querying operations against semi-structured content. This function is particularly useful when JSON arrives inline (e.g., supplied directly within SQL statements or loaded from CSV files containing JSON strings). PARSE_JSON does not perform data loading from stages---that is handled through COPY INTO---nor does it convert JSON into XML. Once JSON is converted to VARIANT, Snowflake allows access to nested structures using dot notation, bracket notation, and functions like FLATTEN(). Thus, the function serves as a bridge between raw JSON strings and Snowflake's relational and analytical capabilities.
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What SQL command will return a list of all files in a stage?
LIST @stage_name displays all files present in a stage (internal or external).
PUT uploads local files to an internal stage.
GET downloads files from an internal stage.
COPY INTO loads or unloads data but does not list files.
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