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Snowflake SOL-C01 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 3	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 4	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.

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Snowflake Certified SnowPro Associate - Platform Certification Sample Questions (Q201-Q206):

NEW QUESTION # 201
A data engineer is tasked with creating multiple schemas within a Snowflake database called
'SALES DB'. These schemas need to be isolated from each other to prevent accidental data access. Which of the following approaches is the MOST secure and efficient way to achieve this?

A. Create one large schema and prefix all table names with the schema name to simulate schema separation.
B. Create a separate database for each schema, leading to multiple databases instead of schemas within 'SALES_DB'.
C. Create separate schemas within 'SALES_DB' and grant specific privileges on each schema to appropriate roles.
D. Creating external tables and configuring different storage integrations for each table.
E. Create all schemas under the 'PUBLIC' schema of 'SALES_DB' and grant specific privileges on each table.

Answer: C

Explanation:
Creating separate schemas within the database and assigning granular privileges provides the most secure and manageable separation. Option A is less secure. Option B is inefficient and overcomplicates the setup. Option D lacks proper schema isolation and management. Option E applies to external tables, which are not the focus of internal schema segregation.

NEW QUESTION # 202
What is the PRIMARY purpose for using the PARSE_DOCUMENT function when using a Cortex LLM?

A. To analyze the sentiment of the content in a document
B. To translate the content of a document from one language to another
C. To summarize the key points in a document into concise text
D. To extract content from a document

Answer: D

NEW QUESTION # 203
What is a key feature of custom roles in Snowflake? (Choose any 2 options)

A. They cannot be granted to users
B. They have predefined privileges
C. They are created by Snowflake administrators
D. They can be tailored to specific organizational requirements

Answer: C,D

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 # 204
You are using Snowsight to monitor the performance of several queries. You notice a query that took significantly longer than expected.
Which of the following actions, available directly within the Snowsight Query History Details panel, would BEST help you diagnose the cause of the slow performance?

A. Review the 'Query Profile' to identify specific execution stages that consumed the most resources.
B. Analyze the 'Compilation Time' to determine if query compilation contributed significantly to the overall execution time.
C. Examine the SQL text of the query and identify potential areas for optimization based on syntax.
D. Download the query results to your local machine for further analysis.
E. Check the 'Warehouse Load' graph to see if the warehouse was under heavy load during the query execution.

Answer: A,B,E

Explanation:
The Query Profile provides a detailed breakdown of the query execution, allowing you to pinpoint specific stages that are slow. Checking the Warehouse Load helps determine if resource contention was a factor. Analyzing the Compilation Time reveals if the query spent a significant amount of time compiling before execution. Examining the SQL text directly (option A) can be helpful, but the Query Profile provides more granular performance data within Snowsight.
Downloading results (option E) does not directly aid in diagnosing performance issues within Snowflake.

NEW QUESTION # 205
You have a virtual warehouse named `REPORTING that you want to resize from 'MEDIUM' to
'LARGE. You execute the following SQL command: ALTER WAREHOUSE REPORTING WH SET WAREHOUSE SIZE - LARGE WAIT FOR COMPLETION = TRUE; After executing this command, what will be the state of the warehouse and running queries?

A. The warehouse will be resized to LARGE after all running queries complete on the MEDIUM warehouse. No new queries can be submitted until the resize is complete.
B. The warehouse will be resized to LARGE, and all running queries will automatically migrate to the new LARGE warehouse size.
C. The command will fail because = TRUE is not a valid option for ALTER WAREHOUSE.
D. The warehouse will be resized to LARGE immediately, and all running queries will be terminated.
E. The warehouse will be resized to LARGE, and all running queries will continue to run on the MEDIUM warehouse until they complete. New queries will run on the LARGE warehouse.

Answer: A

Explanation:
When resizing a virtual warehouse with = TRUE , Snowflake will wait for all currently running queries to finish on the old warehouse size before resizing to the new size. New queries will be blocked until the resize is finished. This ensures a clean transition without interrupting existing workloads.

NEW QUESTION # 206
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