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Snowflake SOL-C01 Exam Syllabus Topics:

Topic	Details
Topic 1	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 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	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.

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Snowflake Certified SnowPro Associate - Platform Certification Sample Questions (Q79-Q84):

NEW QUESTION # 79
Which of the following is true about Snowflake clones?

A. Clones consume the same storage as the original object.
B. Clones are automatically synchronized with the original object.
C. Clones can only be created from databases, not tables or schemas.
D. Clones initially consume minimal/no storage, with storage only being used for changes made to the clone or the original

Answer: D

Explanation:
Snowflake'szero-copy cloningcreates a metadata-only copy of an object-database, schema, table, or many other object types. At creation time, the cloneshares the same underlying micro-partitionsas the source, consuming virtually no additional storage.
Storage consumption occurs only wheneither the clone or the original object is modified, a behavior known ascopy-on-write. This makes cloning ideal for development, testing, QA, troubleshooting, backup creation, or controlled sandboxing.
Incorrect statements:
* Clones do not duplicate storage at creation.
* Cloning applies to tables, schemas, databases, and other supported objects.
* Clones do not synchronize with the original; after creation they diverge independently.
This architecture enables quick, cost-efficient replication of environments and data.

NEW QUESTION # 80
You are tasked with creating a secure data sharing environment in Snowflake. You need to share a table named 'CUSTOMER RECORDS' from the `SALES DB' database in your account (Account A) with another Snowflake account (Account B). You want to ensure that Account B can only query the data and cannot modify it in any way. Which of the following steps are REQUIRED to achieve this securely and effectively?

A. Create a share object in Account A and grant USAGE privilege on the database and SELECT privilege on the table to the share.
B. Create a database in Account B from the share provided by Account A, and grant SELECT privilege to the roles in Account B that need access.
C. Create a masking policy on all the columns of the 'CUSTOMER RECORDS table before creating the share object.
D. Grant OWNERSHIP on the `CUSTOMER RECORDS table to the target account (Account B).
E. Create an external function that reads the data from Account A and presents it to Account B.

Answer: A,B

Explanation:
To share data securely, you need to create a share object and grant appropriate privileges in the source account (A). This includes USAGE on the database and SELECT on the table. The target account (B) then creates a database from the share, which is a read-only copy of the data.
Finally, SELECT privilege must be granted to roles within account B to allow access. Granting OWNERSHIP to the target account (C) defeats the purpose of secure sharing and isn't required or best practice. External functions (D) are not the correct approach. Masking Policies (E) might be appropriate based on data sensitivity but aren't a fundamental requirement for simple data sharing.

NEW QUESTION # 81
What does the SELECT * statement do in a Snowflake query?

A. Retrieves a limited number of rows
B. Retrieves only distinct values
C. Retrieves all columns from a specified table or view
D. Retrieves only the primary key column

Answer: C

Explanation:
The SELECT * statement instructs Snowflake to returnall columnsfrom the referenced table or view. This is commonly used during data exploration, debugging, initial data profiling, and validation steps. It allows users to quickly view the complete dataset structure without manually specifying each column name.
However, while SELECT * retrieves all columns, it does not limit the number of rows. To restrict rows, developers must include aLIMITclause (e.g., SELECT * FROM table LIMIT 10;).
The query does not automatically apply DISTINCT or primary key filtering-Snowflake returns all rows exactly as stored unless additional filtering, WHERE conditions, or ordering are provided.
Though SELECT * is convenient, Snowflake best practices recommend explicitly selecting columns in production workloads to optimize performance and avoid unnecessary scanning of unused fields.

NEW QUESTION # 82
A data engineering team is loading data from a CSV file containing customer information into a Snowflake table. The CSV file occasionally contains malformed data, such as missing fields or fields with incorrect data types (e.g., a string in a numeric field). The team wants to ensure that the loading process continues even when such errors occur, and that the problematic records are tracked for later analysis. Which of the following COPY INTO options should be used to achieve this, and how should the error be handled?

A. Use 'ON_ERROR = 'SKIP_FILE" along with the 'SIZE_LIMIT parameter to limit the size of the file that can be skipped.
B. Use 'ON_ERROR = 'SKIP_FILE" to skip the entire file if any errors are encountered, and use
'VALIDATION_MODE = to log all errors for later analysis.
C. Use 'ON ERROR = 'CONTINUE'` to allow the COPY statement to proceed even when errors are encountered, and use = FALSE' to handle varying column counts. Direct invalid records to a quarantine table using 'VALIDATION_MODE = RETURN ALL ERRORS.
D. Use 'ON ERROR = 'CONTINUE'` to allow the COPY statement to proceed even when errors are encountered, and use 'VALIDATION MODE = along with ` RESULT_SCAN' to retrieve error details and store them in a separate error table. Consider setting `ERROR MISMATCH = FALSE' depending on file structure variability.
E. Use 'ON_ERROR = 'SKIP_FILE" to skip the entire file if any errors are encountered, without logging details of the error.

Answer: D

Explanation:
'ON_ERROR = 'CONTINUE'` ensures that the load continues despite errors.
'VALIDATION_MODE = RETURN_ERRORS' allows you to retrieve details about the errors using the RESULT SCAN' function, which can then be stored in a separate error table. This allows for later analysis of problematic records. = FALSE is necessary if the column count varies between input records.

NEW QUESTION # 83
Changing the size of a virtual warehouse from a Medium to a Large refers to what type of warehouse tuning?

A. Scaling down
B. Scaling out
C. Scaling up
D. Scaling in

Answer: C

Explanation:
Changing a Snowflake virtual warehouse from Medium to Large increases the compute resources allocated to that warehouse-such as CPU cores, memory, and I/O bandwidth. This process is calledscaling up, or vertical scaling. It is typically performed to improve performance for complex queries, large joins, or computationally heavy workloads.
Scaling down is the reverse-reducing warehouse size from Large to Medium or similar.
Scaling out refers to adding more clusters to a multi-cluster warehouse, enabling increased concurrency rather than increasing power per cluster.
Scaling in is the reverse of scaling out-reducing the number of active clusters.
Thus, increasing the size from Medium to Large is vertical scaling, also known as scaling up.

NEW QUESTION # 84
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TRY Snowflake SOL-C01 DUMPS - SUCCESSFUL PLAN TO PASS THE EXAM

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Snowflake Certified SnowPro Associate - Platform Certification Sample Questions (Q79-Q84):

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