Practice Free SOL-C01 Exam Online Questions
Question #61
What is a "provider" in the context of the Snowflake Marketplace or Data Exchange?
- A . A user who only consumes data
- B . A user who manages Snowflake infrastructure
- C . A user or organization that shares data products or data listings
- D . A user who is a Snowflake employee
Correct Answer: C
C
Explanation:
In Snowflake Marketplace and Data Exchange, aprovider is any Snowflake user or organization that publishes and shares datasets, data products, or applications with other Snowflake consumers. Providers control access to their listings, configure data sharing models, and can offer either free or paid data products. They manage listing descriptions, update schedules, and refresh logic, ensuring customers or subscribers receive up-to-date and reliable information. Providers can be enterprises, analytics vendors, public data contributors, or research institutions. They are distinct from consumers, who access or use the shared data. Providers also do not handle Snowflake platform infrastructure―that is Snowflake’s responsibility. Snowflake employees are not categorized as providers unless they publish official Snowflake datasets. Thus, the primary purpose of a provider is to share curated data offerings on the Marketplace or within private exchanges.
C
Explanation:
In Snowflake Marketplace and Data Exchange, aprovider is any Snowflake user or organization that publishes and shares datasets, data products, or applications with other Snowflake consumers. Providers control access to their listings, configure data sharing models, and can offer either free or paid data products. They manage listing descriptions, update schedules, and refresh logic, ensuring customers or subscribers receive up-to-date and reliable information. Providers can be enterprises, analytics vendors, public data contributors, or research institutions. They are distinct from consumers, who access or use the shared data. Providers also do not handle Snowflake platform infrastructure―that is Snowflake’s responsibility. Snowflake employees are not categorized as providers unless they publish official Snowflake datasets. Thus, the primary purpose of a provider is to share curated data offerings on the Marketplace or within private exchanges.
Question #62
What information is available when previewing a table in Snowsight?
- A . The name of the virtual warehouse where the table is stored
- B . The first 100 rows of the table
- C . The table definition
- D . The Entity Relationship (ER) diagram for the table
Correct Answer: B
B
Explanation:
When you preview a table in Snowsight, Snowflake returns up to the first 100 rows of the table’s data. This preview is designed for quick inspection of the table’s contents and structure without requiring the user to manually write a SELECT query. The preview interface allows basic exploration such as scrolling, simple sorting, and viewing column metadata.
Tables are not “stored” in a specific virtual warehouse; warehouses provide compute only. The table definition (DDL) can be viewed in the Table Details section but is not the main output of the Preview action. Snowsight does not natively generate an Entity Relationship (ER) diagram for the table as part of the preview.
B
Explanation:
When you preview a table in Snowsight, Snowflake returns up to the first 100 rows of the table’s data. This preview is designed for quick inspection of the table’s contents and structure without requiring the user to manually write a SELECT query. The preview interface allows basic exploration such as scrolling, simple sorting, and viewing column metadata.
Tables are not “stored” in a specific virtual warehouse; warehouses provide compute only. The table definition (DDL) can be viewed in the Table Details section but is not the main output of the Preview action. Snowsight does not natively generate an Entity Relationship (ER) diagram for the table as part of the preview.
Question #63
What most accurately describe Snowflake?
- A . A data warehouse software
- B . An ETL Tool
- C . An AI data cloud Platform
- D . A Transactional database
Correct Answer: C
C
Explanation:
Snowflake is best described as an AI Data Cloud Platform. While Snowflake originated as a cloud data warehouse, its capabilities have expanded to include secure data sharing, application development, machine learning workloads, unstructured data processing, Snowpark, and integrated LLM/AI functions (such as Snowflake Cortex and Streamlit). This broad ecosystem supports analytic workloads, governance, multi-cloud architecture, and AI-driven applications. It is not simply an ETL tool or a transactional database.
C
Explanation:
Snowflake is best described as an AI Data Cloud Platform. While Snowflake originated as a cloud data warehouse, its capabilities have expanded to include secure data sharing, application development, machine learning workloads, unstructured data processing, Snowpark, and integrated LLM/AI functions (such as Snowflake Cortex and Streamlit). This broad ecosystem supports analytic workloads, governance, multi-cloud architecture, and AI-driven applications. It is not simply an ETL tool or a transactional database.
Question #64
What is a key benefit of using Snowsight for loading data into Snowflake?
- A . Requires external tools for data loading
- B . Manual data storage configuration
- C . Simplified and intuitive data loading process
- D . Limited to specific file formats
Correct Answer: C
C
Explanation:
Snowsight provides an intuitive UI-based workflow for loading data, enabling drag-and-drop file upload, schema inference, previewing records, automatic table creation, and loading into existing tables. Users can load CSV, JSON, Parquet, AVRO, ORC, and other supported formats without writing COPY INTO commands manually.
Snowsight also generates the equivalent SQL code, helping users understand and reuse ingestion scripts in pipelines. It eliminates the need for external tools such as Snow SQL CLI or custom ETL scripts.
Incorrect statements:
External tools are not required.
Manual storage configuration is unnecessary; Snowflake abstracts all storage.
Snowsight supports a wide variety of formats, not limited ones.
Thus, the key advantage is asimple, guided data-loading workflow, especially useful for new Snowflake users.
C
Explanation:
Snowsight provides an intuitive UI-based workflow for loading data, enabling drag-and-drop file upload, schema inference, previewing records, automatic table creation, and loading into existing tables. Users can load CSV, JSON, Parquet, AVRO, ORC, and other supported formats without writing COPY INTO commands manually.
Snowsight also generates the equivalent SQL code, helping users understand and reuse ingestion scripts in pipelines. It eliminates the need for external tools such as Snow SQL CLI or custom ETL scripts.
Incorrect statements:
External tools are not required.
Manual storage configuration is unnecessary; Snowflake abstracts all storage.
Snowsight supports a wide variety of formats, not limited ones.
Thus, the key advantage is asimple, guided data-loading workflow, especially useful for new Snowflake users.
Question #65
Which of the following components are included in a fully qualified name in Snowflake? (Choose any 3 options)
- A . Database name
- B . Role name
- C . Schema name
- D . Table or view name
Correct Answer: A, C, D
A, C, D
Explanation:
A fully qualified namein Snowflake specifies the exact location of an object and follows this structure:
<database_name>.<schema_name>.<object_name>
This enables precise referencing, especially in environments with multiple databases or schemas.
Components:
Database nameC the top-level container.
Schema nameC the logical grouping of related objects.
Table or view nameC the specific object being referenced.
Example:
SALES_DB.PUBLIC.ORDERS
Roles arenotpart of object names. Roles control authorization, while fully qualified names handle namespace resolution. Using fully qualified names helps avoid ambiguity in pipelines, stored procedures, views, and cross-database queries.
Snowflake also supports partially qualified names depending on active context (current database and schema).
A, C, D
Explanation:
A fully qualified namein Snowflake specifies the exact location of an object and follows this structure:
<database_name>.<schema_name>.<object_name>
This enables precise referencing, especially in environments with multiple databases or schemas.
Components:
Database nameC the top-level container.
Schema nameC the logical grouping of related objects.
Table or view nameC the specific object being referenced.
Example:
SALES_DB.PUBLIC.ORDERS
Roles arenotpart of object names. Roles control authorization, while fully qualified names handle namespace resolution. Using fully qualified names helps avoid ambiguity in pipelines, stored procedures, views, and cross-database queries.
Snowflake also supports partially qualified names depending on active context (current database and schema).