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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 Advanced Certifications SnowPro Specialty Certifications SnowPro Core Certification
Exam Duration:	85 minutes
Passing Score:	750 out of 1000
Real Exam Qty:	65
Exam Format:	Multiple-select, Interactive items, Multiple-choice
Available Languages:	English, Japanese
Exam Price:	$100 USD
Certificate Validity Period:	2 years
Recommended Training:	Snowflake Documentation Snowflake Free Hands-On Labs
Exam Registration:	Pearson VUE Registration Snowflake Certification Portal
Sample Questions:	Snowflake SOL-C01 Sample Questions
Exam Way:	Online unproctored exam via Pearson VUE; available 24/7 upon purchase
Pre Condition:	No mandatory prerequisites; recommended 3+ months hands-on experience with Snowflake
Official Syllabus URL:	https://learn.snowflake.com/en/certifications/snowpro-platform/

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Snowflake SOL-C01 Exam Syllabus Topics:

Topic	Details
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	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	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.

Snowflake Certified SnowPro Associate - Platform Certification Sample Questions (Q137-Q142):

NEW QUESTION # 137
How can Snowsight be used to monitor the performance of a virtual warehouse?

A. Use the DESCRIBE WAREHOUSE command.
B. Use the SHOW WAREHOUSES command.
C. Use the QUERY_HISTORY view.
D. Use the LOAD_HISTORY view.

Answer: C

Explanation:
To monitor virtual warehouse performance in Snowsight, the correct approach is using theQUERY_HISTORYview or its Snowsight equivalent under the Activity section. QUERY_HISTORY provides detailed metrics on execution time, queueing, credit consumption, compilation time, and warehouse utilization for every executed query. By analyzing this information, users can diagnose issues such as concurrency bottlenecks, under-sized warehouses, long-running queries, or excessive I/O.
SHOW WAREHOUSES returns metadata about warehouse configurations (size, state, scaling policy) but does not provide performance data. LOAD_HISTORY tracks COPY INTO operations only and is not representative of general warehouse workload. DESCRIBE WAREHOUSE shows configuration details but no runtime or historical performance metrics.
Thus, the most accurate and complete way to assess warehouse performance-particularly execution delays, queuing, or excessive credit usage-is by using QUERY_HISTORY.

NEW QUESTION # 138
A data engineer is experiencing inconsistent query performance during peak hours. They have a single X- Small warehouse currently configured. After analyzing query history, they observed significant queuing delays. Which of the following actions would MOST effectively address this performance issue while minimizing costs in the short term?

A. Enable auto-resume on the warehouse to ensure it's always available.
B. Upgrade the warehouse size to Large. This will provide more resources to handle concurrent queries.
C. Create a separate X-Small warehouse for each user to isolate their workloads.
D. Enable auto-suspend on the warehouse to reduce credits consumed during idle periods.
E. Enable multi-cluster warehouse with a minimum and maximum cluster count of 2. This will scale out the compute resources as needed.

Answer: E

Explanation:
Enabling a multi-cluster warehouse allows Snowflake to automatically scale out compute resources by adding additional clusters as needed to handle concurrent queries and reduce queuing. Upgrading the warehouse size (option A) is more expensive and might not be the most cost-effective initial solution. Auto-suspend/resume (options B & C) do not address concurrency issues. Creating separate warehouses per user (option E) adds administrative overhead and may not be efficient if users have varying workload demands.

NEW QUESTION # 139
You are using Snowsight to monitor a data pipeline that involves several tasks chained together using 'AFTER' dependencies. One of the intermediate tasks, is failing intermittently. Which of the following Snowsight features would be MOST helpful in quickly identifying the root cause of the failures and assessing the impact on downstream tasks?

A. The role hierarchy page to see if the role executing the task has the correct privileges.
B. The Resource Monitor page to see if warehouses are being over utilized and impacting all workloads.
C. The data lineage feature in Snowsight to visualize the data flow and dependencies between the tables used by the pipeline.
D. The Snowsight worksheet interface, by running SELECT statements on the underlying data in the tables involved.
E. The task history view in Snowsight, focusing on the execution details, error messages, and query profiles for and its predecessor tasks.

Answer: E

Explanation:
The task history view in Snowsight provides specific information about the execution of each task, including error messages, query profiles, and execution times. This allows you to pinpoint the cause of the failure in and examine the history of predecessor tasks to identify any upstream issues. The Task details page shows which tasks were executed after the specific task. While data lineage (Option C) is helpful for understanding data flow, it doesn't directly show execution details. Option A (worksheets) is a general debugging tool but not the most efficient for task- specific issues. Options D and E might be relevant but are less direct than examining the task history.

NEW QUESTION # 140
A data engineer needs to grant a business analyst role ('BI ANALYST) the ability to query data in a specific schema ('SALES DATA) within a database ('REPORTING DB'). The business analyst should also be able to create temporary tables for their analysis but should not be able to modify the underlying tables. Which of the following set of commands is the MOST SECURE and LEAST PRIVILEGED way to achieve this?

A. GRANT USAGE ON DATABASE REPORTING DB TO ROLE BI ANALYST; GRANT SELECT ON FUTURE TABLES IN SCHEMA REPORTING DB.SALES DATA TO ROLE BI ANALYST, GRANT CREATE TEMPORARY TABLE ON DATABASE REPORTING DB TO ROLE BI ANALYST;
B. GRANT USAGE ON DATABASE REPORTING DB TO ROLE BI ANALYST; GRANT SELECT ON ALL TABLES IN SCHEMA REPORTING DB.SALES DATA TO ROLE BI ANALYST; GRANT CREATE TEMPORARY TABLE ON DATABASE REPORTING DB TO ROLE BI ANALYST;
C. GRANT USAGE ON DATABASE REPORTING DB TO ROLE BI ANALYST; GRANT SELECT ON SCHEMA REPORTING DB.SALES DATA TO ROLE BI ANALYST; GRANT CREATE TEMPORARY TABLE ON DATABASE REPORTING DB TO ROLE BI ANALYST,
D. GRANT USAGE ON DATABASE REPORTING DB TO ROLE BI ANALYST; GRANT USAGE ON SCHEMA REPORTING DB.SALES DATA TO ROLE BI ANALYST; GRANT SELECT ON ALL TABLES IN SCHEMA REPORTING DB.SALES DATA TO ROLE BI ANALYST; GRANT CREATE TEMPORARY TABLE ON DATABASE REPORTING DB TO ROLE BI ANALYST;
E. GRANT ALL ON DATABASE REPORTING DB TO ROLE BI ANALYST; GRANT SELECT ON ALL TABLES IN SCHEMA REPORTING DB.SALES DATA TO ROLE BI ANALYST; GRANT CREATE TEMPORARY TABLE ON DATABASE REPORTING DB TO ROLE BI ANALYST,

Answer: D

Explanation:
Option D provides the most secure and least privileged access. USAGE on the database and schema allows access without full control. SELECT on tables allows querying. CREATE TEMPORARY TABLE allows the creation of temporary tables within the database. Granting SELECT ON FUTURE TABLES would grant access to tables that don't exist yet, unnecessary for this scenario. Option A does not grant USAGE on the schema. Option C is overly permissive.

NEW QUESTION # 141
A data analyst is using the Snowflake web UI worksheet to explore data in a table named They want to retrieve the top 5 customers by total purchase amount. Which of the following SQL queries, executed directly within the worksheet, will achieve this, assuming identifies the customer and represents the amount of each purchase?

Answer: C

Explanation:
Option A is the correct answer. It correctly aggregates purchase amounts by 'customer_id' , orders the results in descending order of total amount CORDER BY total_amount DESC'), and then limits the result set to the top 5 rows (LIMIT Option B is incorrect because 'ROWNUM' is not a standard SQL function and would not work in Snowflake. Option C uses ` TOP 5' , which is not standard SQL and not the syntax supported by Snowflake. Option D orders the results in ascending order CASC'), giving the bottom 5 customers. Option E does not work, need to put order by clause outside the subquery.

NEW QUESTION # 142
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