SOL-C01 Exam Study Guide & SOL-C01 PDF prep material & SOL-C01 Exam Training Test

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Snowflake SOL-C01 Exam Overview:

Certification Vendor:	Snowflake
Exam Name:	Snowflake SnowPro Associate - Platform Certification
Exam Number:	SOL-C01
Real Exam Qty:	80-100
Related Certifications:	SnowPro Core Certification SnowPro Advanced Architect SnowPro Advanced Data Engineer
Exam Format:	Multiple Select, Multiple Choice
Passing Score:	750/1000
Available Languages:	English, Japanese
Certificate Validity Period:	2 years
Exam Duration:	115 minutes
Exam Price:	$175 USD
Recommended Training:	Snowflake Documentation Snowflake Learning & Training
Exam Registration:	Snowflake Certifications Portal
Sample Questions:	Snowflake SOL-C01 Sample Questions
Exam Way:	Online proctored exam via Snowflake certification platform or authorized testing provider.
Pre Condition:	No formal prerequisites required; basic knowledge of data warehousing and SQL recommended.
Official Syllabus URL:	https://www.snowflake.com/en/certifications/

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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	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 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 (Q137-Q142):

NEW QUESTION # 137
You are working with a Snowflake Notebook and need to execute a series of SQL statements that include both DDL (Data Definition Language) and DML (Data Manipulation Language) operations.
You want to ensure that if any statement fails, the entire sequence is rolled back. How can you achieve this within a single Notebook cell?

A. Wrap the SQL statements within a 'BEGIN' and 'END' block within the cell. Snowflake Notebooks automatically treat this as a transaction.
B. Snowflake Notebooks do not support transactions within a single cell. Each SQL statement is executed independently.
C. Prefix each SQL statement with 'TRY and include a 'CATCH' block at the end to handle any exceptions and perform a rollback if needed.
D. Create a stored procedure that encapsulates all SQL statements and then call the stored procedure from the notebook cell. The stored procedure can handle the transaction management.
E. Use the 'snowflake.connector' Python library to explicitly manage transactions using , followed by individual SQL statements, and or based on success or failure.

Answer: D

Explanation:
Snowflake Notebooks' cell does not directly support BEGIN...END transaction block. While the
'snowflake.connector' can manage transactions, it typically requires multiple cells for BEGIN, statements, and COMMIT/ROLLBACK. TRY/CATCH is not a valid SQL construct for transaction management. Option D is incorrect because transactions are possible using stored procedures called from a cell. The most reliable method is to create a stored procedure (E) that handles transaction management and call it from the notebook cell. This encapsulates the logic and ensures proper rollback behavior.

NEW QUESTION # 138
A data warehouse contains a table 'ORDERS' with columns 'ORDER ID', 'CUSTOMER ID',
'ORDER DATE, and `ORDER TOTAL' You need to optimize a query that frequently retrieves the total order amount for a specific customer within a given date range. Which of the following strategies would be MOST effective in improving query performance?

A. Create a materialized view that pre-calculates the total order amount for each customer.
B. Increase the warehouse size to allow for more compute resources.
C. Create a view that filters the `ORDERS' table based on the date range.
D. Cluster the `ORDERS' table using `CUSTOMER ID and `ORDER DATES.
E. create an index on the 'ORDER DATE column.

Answer: D

Explanation:
Clustering the table on `CUSTOMER ID and 'ORDER DATE is the most effective strategy because it physically organizes the data on disk based on these columns. This allows Snowflake to efficiently retrieve the relevant data for a specific customer and date range, minimizing the amount of data that needs to be scanned. Increasing warehouse size will improve general performance, but clustering optimizes for this specific query. Indexes are not typically used in Snowflake. A materialized view would be good, however, clustering is more effective.

NEW QUESTION # 139
Which data type in Snowflake is commonly used for storing semi-structured data?

A. JSON
B. VARCHAR
C. BLOB
D. VARIANT

Answer: D

Explanation:
Snowflake uses theVARIANTdata type as the native mechanism for storing semi-structured data formats such as JSON, XML, Avro, ORC, and Parquet. VARIANT supports hierarchical, nested structures and allows querying via dot or bracket path notation without requiring schema-on-write.
JSON is not a Snowflake data type-JSON documents arestored insideVARIANT.
VARIANT allows:
* Mixed structured and semi-structured content
* Efficient storage through Snowflake's columnar compression
* Schema-on-read flexibility
* Querying nested structures without flattening
VARCHARstores plain text only.
BLOBis reserved for binary data and not suitable for interactive querying.
This design eliminates the need for preprocessing or schema enforcement at ingestion time.

NEW QUESTION # 140
What filter can be used when searching for data products on the Snowflake Marketplace?

A. Performance
B. Size
C. Price
D. Compatibility

Answer: C

Explanation:
On the Snowflake Marketplace, users can apply a Price filter when searching for data products. This filter helps distinguish between free offerings and paid listings, making it easier to align data acquisition with budget and commercial terms. Marketplace metadata includes pricing information that this filter uses to refine search results.
Dataset "Size" is not exposed as a primary Marketplace search filter. "Compatibility" is implied, as all Marketplace products are consumable within Snowflake. "Performance" is not a filterable attribute, because performance is influenced mainly by the consumer's compute configuration and query design, rather than a fixed property of the Marketplace listing.

NEW QUESTION # 141
A Snowflake account has the following role hierarchy: - ACCOUNTADMIN - SECURITYADMIN - DB_ADMIN - ETL USER - REPORT USER SECURITYADMIN reports to ACCOUNTADMIN, DB_ADMIN reports to SECURITYADMIN, ETL_USER and REPORT USER reports to DB_ADMIN. A user 'john.doe' has been granted the `REPORT USER role. 'john.doe' needs to execute a query that requires temporary table creation. However, the execution fails. Which of the following steps would CORRECTLY grant the minimum necessary privilege to 'john.doe' such that he can create temporary tables without compromising security or overly broad access?
Select all that apply:

A. Create a new custom role, 'TEMP TABLE CREATOR. Grant the 'CREATE TEMPORARY TABLE privilege on the database to `TEMP TABLE_CREATOR. Grant this new role, , directly to the user
'john.doe'.
B. Grant the 'CREATE TEMPORARY TABLE' privilege directly to the "REPORT_USER role.
'john.doe' will then have the required privilege to create temporary tables.
C. Create a new custom role, Grant the 'CREATE TEMPORARY TABLE privilege on the database to Then, grant the 'TEMP_TABLE CREATOR role to the 'REPORT USER role.
D. Grant the ACCOUNTADMIN role to the User john.doe
E. Grant the 'CREATE TEMPORARY TABLE' privilege on the database to the 'DB_ADMIN' role.
Since 'REPORT_USER inherits from 'DB_ADMIN', 'john.doe' will gain the ability to create temporary tables.

Answer: A,B

Explanation:
Options B and E are correct. Granting privileges directly to the role that needs them, or to the user, adheres to the principle of least privilege and avoids unintended privilege escalation through role hierarchy.Option A is incorrect because the correct choice will be to provide only privileges on temp table to the user. The privileges in that user role does not need to be escalated. Option C is incorrect because assigning the new custom role to report_user is a wrong approch, it will become a hierarchy and will be difficult to resolve, manage and maintain it. Option D is incorrect since granting ACCOUNTADMIN grants access to everything which goes against the principle of least privilege.

NEW QUESTION # 142
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