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Snowflake SOL-C01 Exam Syllabus Topics:
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Snowflake Certified SnowPro Associate - Platform Certification Sample Questions (Q116-Q121):
NEW QUESTION # 116
What are virtual warehouses in Snowflake?
- A. A storage location for data files
- B. A worksheet for writing queries
- C. A type of user account
- D. A compute resource
Answer: D
Explanation:
A virtual warehouse in Snowflake is acompute resourcethat supplies CPU, memory, and temporary storage used to process SQL queries, perform data loading, execute DML operations, and run procedural logic.
Warehouses are elastic, can be resized on demand, suspended to save costs, and automatically resumed when needed.
Virtual warehouses donotstore data-data is kept in Snowflake's centralized storage layer. They also are not user accounts; user accounts belong to Snowflake's identity management system. Worksheets are UI components in Snowsight or Classic Console used to write and run SQL, not compute resources.
Thus, virtual warehouses are Snowflake's compute engine, enabling all processing without managing physical infrastructure.
NEW QUESTION # 117
A Snowflake data engineer is tasked with optimizing the performance of daily data loads into a fact table named `SALES FACT. The data is loaded from multiple CSV files stored in an AWS S3 bucket. The data engineer observes that the data loading process is slow, even though the virtual warehouse is adequately sized. Analyzing the COPY INTO command, they notice that data loading happens in single thread even though multiple files are staged. Which of the following techniques, or combination of techniques, would be MOST effective in parallelizing the data load and improving the overall loading performance?
- A. Ensure that the CSV files are split into smaller files (e.g., 10-100MB each). Snowflake automatically parallelizes data loading across multiple files. Configure an auto scaling policy for virtual warehouse.
- B. B and C are both correct
- C. Partition the 'SALES FACT table by a relevant date column and then use the 'ON ERROR = CONTINUE option in the COPY INTO statement to skip rows with errors related to partitioning.
- D. Increase the size of the virtual warehouse to the largest available size (e.g., X-Large or higher).
This will automatically parallelize the data loading process. - E. Use Snowpipe with auto-ingest enabled to continuously load data as new files arrive in the S3 bucket.
Answer: A
Explanation:
Snowflake automatically parallelizes data loading across multiple files. Smaller files allow Snowflake to distribute the workload across multiple nodes in the virtual warehouse, thus improving performance. Increasing the warehouse size (Option A) may help to some extent but is not the primary driver of parallelization. Snowpipe (Option C) is a good option for continuous data loading but not directly related to parallelizing a COPY INTO command. Partitioning the table (Option D) is a good practice for query performance but not directly related to improving the loading performance of a COPY INTO command. splitting smaller file and auto scale are independent activities but splitting files into smaller chunks is important.
NEW QUESTION # 118
You are using the 'SNOWFLAKE.ML.COMPLETE function in Snowflake Cortex to generate creative text formats, specifically poems, based on customer feedback. You have a table
'FEEDBACK' with a 'TEXT column. However, you are consistently encountering the following error: 'SQL compilation error:
Unsupported feature 'External functions". What is the MOST likely cause of this error?
- A. The user executing the query lacks the necessary privileges to call external functions.
- B. The 'SNOWFLAKE.ML.COMPLETE function is disabled at the account level. Requires enabling it with ALTER ACCOUNT SET ENABLE EXTERNAL FUNCTIONS-TRUE;
- C. The 'SNOWFLAKE.ML.COMPLETE function is only available in specific regions, and your Snowflake account is not in a supported region.
- D. The 'SNOWFLAKE.ML.COMPLETE function requires a minimum Snowflake edition (e.g., Enterprise), and your account is running on a lower edition.
- E. The virtual warehouse being used does not have sufficient resources allocated to it.
Answer: B
Explanation:
The error `Unsupported feature 'External functions" strongly indicates that external functions are disabled at the account level. While other options might contribute to issues in other scenarios, this error message directly points to the need to enable external functions using the provided ALTER ACCOUNT statement. Snowflake Cortex ML Complete function is implemented as extemal function internally.
NEW QUESTION # 119
A Snowflake user is attempting to query a table named 'CUSTOMERS within the `SALES DB.PUBLIC' schema. However, they are receiving an error indicating insufficient privileges.
Assuming the user has been granted the `USAGE privilege on the database 'SALES , which additional privilege(s) is/are required for the user to successfully query the 'CUSTOMERS table?
- A. READ privilege on the 'CUSTOMERS' table.
- B. USAGE privilege on the FIJBLIC' schema and SELECT privilege on the 'CUSTOMERS table.
- C. USAGE privilege on the 'SALES DB' database and SELECT privilege on the 'CUSTOMERS table.
- D. SELECT privilege on the 'CUSTOMERS' table.
- E. USAGE privilege on the `PUBLIC' schema.
Answer: B
Explanation:
To query a table, a user needs 'SELECT privilege on the table and 'USAGE privilege on the schema containing the table. Having ` USAGE' on the database is not enough; 'USAGE' is also needed on the schema. READ is not a valid privilege on tables.
NEW QUESTION # 120
You are tasked with creating a table in Snowflake to store customer order data. You need to ensure that the 'order date' column always defaults to the current date if no value is provided during insertion. Additionally, you want to enable automatic clustering on the 'customer id' column to optimize query performance for order retrieval by customer. Which of the following SQL statements correctly date DATE DEFAULT CURRENT DATE) ORDER BY (customer_id); achieves this?
- A. Option A
- B. Option B
- C. Option E
- D. Option D
- E. Option C
Answer: A
Explanation:
Option A is correct because it creates a table with a default value for 'order_date' using
'DEFAULT CURRENT_DATE and specifies clustering on 'customer_id' using `CLUSTER BY (customer_id)' during table creation. Snowflake supports specifying clustering keys during table creation. Option B is incorrect because 'ORDER BY' clause is used for ordering the data during query, not for clustering. Option C is also correct as the 'CLUSTER BY' can be done using ALTER statement as well . Option D is incorrect because Snowflake does not use traditional indexes and the syntax 'CREATE CLUSTERING INDEX is invalid. option E is incorrect because
'AUTOMATIC CLUSTERING BY' is not a valid syntax.
NEW QUESTION # 121
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