Free PDF 2026 Snowflake SOL-C01 High Hit-Rate Key Concepts

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>> Key SOL-C01 Concepts <<

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Snowflake SOL-C01 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 2
  • 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 3
  • 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 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.

Snowflake Certified SnowPro Associate - Platform Certification Sample Questions (Q16-Q21):

NEW QUESTION # 16
What are computer language considerations when using Snowflake interfaces? (Select TWO).

Answer: C,E

Explanation:
Snowflake Notebooks support both SQL and Python as executable cell types. This means that users can create notebook cells written in Python for programmatic data processing and modeling, and in SQL for declarative querying and transformation. Because of this, the statements "Notebook cells can be written in Python" and
"Notebook cells can be written in SQL" are both correct.
Snowflake databases do not natively execute queries written in Scala; Scala is supported via Snowpark APIs for application code, not as a direct query language. Worksheets in Snowsight are primarily SQL-based and also support procedural constructs (e.g., Snowflake Scripting), so the phrase "only in SQL" is not a precise or complete characterization. Dashboards in Snowsight are created using SQL-backed visualizations and built-in UI components; JavaScript is not a supported authoring language inside the native dashboarding layer.
Therefore, options B, D, and E are not correct in this context.


NEW QUESTION # 17
You need to programmatically retrieve query history metadata (e.g., start time, end time, status, user) for queries executed in the last 24 hours using SQL from within Snowsight. However, you only want to retrieve records for queries that took longer than 5 seconds to execute, filtering by a specific user 'DATA USER'. Which of the following SQL statements, when executed in Snowsight, is the MOST efficient way to achieve this?

Answer: A

Explanation:
In the view is measured in milliseconds. Therefore, to filter for queries that took longer than 5 seconds, you need to use > 5000'. Options A and D are incorrect because `execution_status' and execution_time' are not valid columns. Option C calculates the difference manually, which, although functional, is less efficient than using the pre- calculated column. Option E uses an interval which is valid, but less performant and harder to read than the numerical comparision from option B. can be directly compared with the integer value representing miliseconds.


NEW QUESTION # 18
What is the purpose of the SHOW GRANTS SQL command in Snowflake?

Answer: A

Explanation:
SHOW GRANTS is used to list privileges, including roles assigned to a user.
SHOW GRANTS TO USER <user> reveals all the roles that user inherits.
SHOW ROLES lists roles, SHOW USERS lists users, SHOW DATABASES lists databases-not SHOW GRANTS.


NEW QUESTION # 19
A data engineer needs to translate product names stored in a 'PRODUCTS' table from English to French using Snowflake Cortex LLM. The 'PRODUCTS' table has a 'PRODUCT ID' and
'PRODUCT NAME EN' column. They want to create a view named 'PRODUCTS FR' that contains the translated product names in a new column called 'PRODUCT NAME FR. Which of the following SQL statements is the MOST efficient and correct way to create the view using the
'TRANSLATE' function, assuming the appropriate LLM endpoint is configured?

Answer: A

Explanation:
The most efficient and correct way is option E. It correctly uses the
`SNOWFLAKE.CORTEX.TRANSLATE' function with named parameters for clarity and explicitly specifies the source and target languages. Options A and B uses incorrect library and function call and doesn't specify named parameters. option C uses SNOWFLAKE.ML.PREDICT which expects a ML model, not TRANSLATE function


NEW QUESTION # 20
What is a key feature of custom roles in Snowflake? (Choose any 2 options)

Answer: B,C

Explanation:
Custom roles in Snowflake allow administrators to design access patterns aligned with organizational security requirements. They are created by Snowflake administrators and do not have predefined privileges; instead, privileges must be granted explicitly. Custom roles can be assigned to users or other roles, just like system- defined roles. Thus, the key attributes are that they are created by administrators and tailored to meet specific organizational needs.


NEW QUESTION # 21
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