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| Certification Vendor: | Snowflake |
|---|---|
| Exam Name: | Snowflake Certified SnowPro Associate - Platform Certification |
| Exam Number: | SOL-C01 |
| Passing Score: | 750 |
| Exam Price: | $100 USD |
| Available Languages: | English, Chinese, Japanese |
| Related Certifications: | SnowPro Core Certification |
| Certificate Validity Period: | 2 years |
| Exam Format: | Interactive, Multiple Choice, Multiple Select |
| Exam Duration: | 85 minutes |
| Real Exam Qty: | 65 |
| 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 |
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NEW QUESTION # 70
You are exploring a large dataset in Snowflake with millions of rows. You want to get a quick overview of the data types and basic statistics for each column in a table named 'ORDERS in the
'SALES SCHEMA' schema of the 'RETAIL DB' database. Which of the following methods provides the most efficient and comprehensive overview of the data without requiring you to write complex SQL queries?
Answer: D
Explanation:
Snowsight's data profiling feature automatically provides data types, statistics (min, max, average, etc.), and histograms without requiring any SQL. 'DESCRIBE TABLE only gives column definitions, not statistics. Viewing the 'Columns' tab in the web interface gives column definitions.
'SELECT LIMIT Iff only shows sample data, not data types of all columns. Using the
'INFORMATION_SCHEMR provides only the data types but not any statistics. Snowflake's data profiling within Snowsight gives both. So, 'E' is the correct answer.
NEW QUESTION # 71
Which of the following is true about Snowflake's "auto-scale" feature for multi-clustered warehouses?
(Choose any 2 options)
Answer: A,C
Explanation:
Auto-scale enables Snowflake to dynamically start or stop clusters in a multi-cluster warehouse depending on workload pressure. When concurrency rises, Snowflake adds clusters; when demand decreases, it scales back down. This provides seamless performance during peak workloads and efficient resource usage during off- peak times. Auto-scale does not require manual action-it is fully automated once configured. It is not limited to standard warehouses; multi-cluster mode is available in Enterprise Edition and above. Ultimately, auto- scale ensures elasticity and cost-efficient compute allocation.
NEW QUESTION # 72
Which of the following is true about data listings in the Snowflake Marketplace?
Answer: D
Explanation:
Data listings in the Snowflake Marketplace can be offered asfree or paiddepending on how the provider chooses to distribute the data. Providers can use usage-based pricing, subscription models, or make datasets available at no cost. Listings are not restricted to static data; Snowflake supportslive data sharing, enabling instant access to continuously updated datasets without copying or ETL. Listings are accessible to any Snowflake user with the appropriate marketplace access-not exclusively administrators. This flexibility makes the Marketplace a powerful ecosystem where organizations can seamlessly obtain external datasets for analytics, machine learning, and reporting needs. Providers define terms of use, pricing, and refresh schedules, while Snowflake manages the secure data-sharing infrastructure.
NEW QUESTION # 73
You are responsible for optimizing data loading into Snowflake from a large set of CSV files stored in Azure Blob Storage. The files contain millions of records and are updated daily You need to choose the MOST efficient method for loading this data, considering both performance and cost. Select TWO options that would best address this scenario.
Answer: B,C
Explanation:
Snowpipe with auto-ingest (A) provides continuous data loading as soon as new files are available in the stage, making it highly efficient for near real-time ingestion. It leverages serverless compute for loading, optimizing cost. Coupling it with a notification integration (D) makes the process even more event- driven and efficient, ensuring that data loading is triggered immediately upon file arrival. Options B is a batch process using scheduled tasks which is not ideal, and the other two aren't related to the data loading process that the question is asking.
NEW QUESTION # 74
Which of the following are numeric data types supported by Snowflake? (Choose any 2 options)
Answer: A,B
Explanation:
Snowflake supports several numeric data types, includingINTEGER(and its aliases INT, BIGINT, SMALLINT, TINYINT) andFLOAT(a floating-point type). INTEGER represents exact whole numbers, and FLOAT supports approximate numerical values with fractional components. BOOLEAN is a logical data type used for TRUE/FALSE values, not numeric. VARCHAR is a string data type, also not numeric. Thus, INTEGER and FLOAT are the correct numeric data types supported by Snowflake.
NEW QUESTION # 75
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