Pass Guaranteed 2026 SOL-C01: Snowflake Certified SnowPro Associate - Platform Certification–High-quality Exam Guide Materials

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Snowflake SOL-C01 Exam Overview:

Certification Vendor:Snowflake
Exam Name:Snowflake Certified SnowPro Associate - Platform Certification
Exam Number:SOL-C01
Related Certifications:SnowPro Core Certification
Certificate Validity Period:2 years
Passing Score:750
Real Exam Qty:65
Available Languages:Chinese, Japanese, English
Exam Duration:85 minutes
Exam Price:$100 USD
Exam Format:Interactive, Multiple Choice, Multiple Select
Sample Questions:Snowflake SOL-C01 Sample Questions
Exam Way:Unproctored online exam delivered through Pearson VUE. Once purchased, you have 24 hours to launch and complete the exam. Must be completed within 85 minutes from starting with no exceptions.
Pre Condition:No prerequisites. Target audience: individuals with 3+ months of knowledge using Snowflake.
Official Syllabus URL:https://learn.snowflake.com/en/pages/snowpro-platform-announcementFAQs

>> SOL-C01 Exam Guide Materials <<

Free PDF Quiz 2026 Snowflake High-quality SOL-C01: Snowflake Certified SnowPro Associate - Platform Certification Exam Guide Materials

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Snowflake SOL-C01 Exam Syllabus Topics:

TopicDetails
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
  • 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
  • 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.

Snowflake Certified SnowPro Associate - Platform Certification Sample Questions (Q96-Q101):

NEW QUESTION # 96
A data engineer, Bob, created a table 'CUSTOMER DATA' in schema 'SALES SCHEMA' within the database 'ENTERPRISE_DB' Bob is leaving the company, and ownership of the table needs to be transferred to Alice. Which of the following SQL commands will correctly transfer ownership of the 'CUSTOMER DATA' table to the 'ALICE role, ensuring Alice can grant further privileges on the table to other roles?

Answer: E

Explanation:
The correct command to transfer ownership in Snowflake is 'ALTER TABLE ... TRANSFER OWNERSHIP TO ROLE ..:. option A is a GRANT statement, not an ownership transfer. Option B is incorrect SQL syntax in Snowflake. Option C attempts to grant ownership to a user instead of a role, which isn't the requirement. Option D uses incorrect syntax, there is no SET OWNER property. Option E is the only command that correctly transfers ownership to a role.


NEW QUESTION # 97
A user executes the following SQL statement in Snowflake:
SELECT FROM MY TABLE;
The user reports that the query is running very slowly. Assuming the user has the necessary permissions to access the table, which of the following could be the cause of the slow query performance and how could you verify that the root cause is the bottleneck?

Answer: A,B,C

Explanation:
A virtual warehouse that is undersized will lead to queries that spill to local or remote disks. Table being not clustered properly. Table being too wide and inefficient. Option D is highly unlikely as you can see how the query processes internally in query profile and it can be ruled out quickly.
Check the query profile in Snowsight to observe spill to local disk or remote storage. Run function to check the clustering depth and verify how much the table is clustered. The query profile also shows that the 'SELECT operation is taking a significant amount of time.


NEW QUESTION # 98
Which of the following are benefits of using a multi-clustered warehouse in Snowflake? (Choose any 3 options)

Answer: B,C,D

Explanation:
A multi-cluster warehouse raises Snowflake's capability to handle concurrent workloads efficiently. When large numbers of users or queries hit the system, Snowflake can automatically start additional clusters (scaling out) to distribute workloads, reducing queuing and improving performance. As query demand drops, Snowflake scales in by shutting down clusters to conserve credits. This dynamic auto-scaling provides significantly increased compute capacity during peak usage periods and enhances responsiveness.
Importantly, multi-cluster warehouses affect only compute, not storage, so they do not reduce storage costs.
Their primary benefits revolve around performance stability, concurrency handling, workload isolation, and compute elasticity.


NEW QUESTION # 99
What is the primary responsibility of Role Hierarchy in Snowflake's access control model?

Answer: D

Explanation:
Role hierarchy enables a parent role to inherit privileges assigned to child roles. This simplifies RBAC administration, reduces redundant grants, and ensures scalable security management. It has no relation to SQL sequencing, user categorization, or compute sizing.


NEW QUESTION # 100
When a virtual warehouse is scaled up (e.g., from X-Small to Small), what is the primary impact?

Answer: D

Explanation:
Scaling up a warehouse increases compute resources (CPU, memory), improving performance on heavy workloads: large joins, transformations, and long-running analytical queries.
It does not increase storage, reduce cost, or guarantee higher concurrency (multi-cluster handles concurrency).


NEW QUESTION # 101
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