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Snowflake SOL-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Identity and Data Access Management	15%	- User and object management 1. Create and modify database objects 2. Basic SQL operations 3. Transfer ownership - Role-Based Access Control (RBAC) 1. Role types and hierarchy 2. Privileges and access control 3. Principle of least privilege
Data Loading and Virtual Warehouses	40%	- Snowflake Cortex 1. AI integration in SQL workflows 2. LLM functions: COMPLETE, SENTIMENT, TRANSLATE, CLASSIFY_TEXT - Data loading methods 1. Loading structured, semi-structured, unstructured data 2. Internal and external stages 3. COPY INTO, INSERT, and other commands - Virtual warehouses 1. Scaling and suspension 2. Warehouse types and sizing 3. Cost and performance management
Data Protection and Data Sharing	10%	- Data sharing and collaboration 1. Data Exchange and secure sharing 2. Snowflake Marketplace - Data protection features 1. Time Travel and Fail-safe 2. Encryption and security 3. Cloning and replication
Interacting with Snowflake and the Architecture	35%	- User interfaces 1. Worksheets and SQL editor 2. Snowflake Notebooks 3. Snowsight navigation and features - Snowflake Data Cloud overview 1. Key features and benefits 2. Elastic storage and compute architecture - Object hierarchy and data types 1. Databases, schemas, tables, views 2. Structured, semi-structured, unstructured data types

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Snowflake Certified SnowPro Associate - Platform Certification Sample Questions (Q57-Q62):

NEW QUESTION # 57
Which layer of the Snowflake architecture performs query optimization and execution?

A. Client Layer
B. Query Processing Layer
C. Cloud Services Layer
D. Database Storage Layer

Answer: B

Explanation:
The Query Processing Layer executes SQL statements using virtual warehouses and massively parallel processing. It handles query optimization, execution, and scaling. The Cloud Services Layer parses and plans queries but does not execute them. Storage persists data, and the Client Layer is external to Snowflake architecture.

NEW QUESTION # 58
When should AUTO_SUSPEND be enabled for a virtual warehouse?

A. To increase the warehouse's performance.
B. To ensure the warehouse is always active for immediate queries.
C. When the warehouse is expected to run continuously.
D. To save credits during periods of inactivity.

Answer: D

Explanation:
AUTO_SUSPEND minimizes cost by suspending compute after a specified idle period.
It prevents unnecessary credit consumption while ensuring compute resumes automatically when needed.
Performance improvements depend on warehouse size, not suspension settings.

NEW QUESTION # 59
What types of worksheets can be created in Snowsight? (Select TWO).

A. Javascript
B. Python
C. Scala
D. Java
E. SQL

Answer: B,E

Explanation:
Snowsight supports two worksheet types:SQL worksheetsandPython worksheets. SQL worksheets allow users to execute queries, create objects, and perform data analysis using ANSI SQL and Snowflake-specific extensions. Python worksheets, powered by Snowpark, allow users to write Python code that interacts directly with Snowflake tables, data frames, and machine learning workflows.
Java, Scala, and JavaScript are supported via Snowpark APIs or UDF development, but they cannot be used as worksheet languages. Worksheets are designed for interactive analysis, visualization, and iterative development, with native runtimes only for SQL and Python.
Thus, only SQL and Python worksheets can be created within Snowsight.

NEW QUESTION # 60
You have a permanent table 'ORDERS' in your Snowflake database. You want to create a temporary table 'TEMP ORDERS' that will automatically be dropped at the end of your session.
You also want to ensure this table's data is not recoverable after the session ends.
Which of the following SQL statements should you use?

A. CREATE TRANSIENT TABLE TEMP ORDERS AS SELECT FROM ORDERS;
B. CREATE TABLE TEMP ORDERS AS SELECT FROM ORDERS;
C. CREATE TEMP TABLE TEMP ORDERS AS SELECT FROM ORDERS;
D. CREATE VOLATILE TABLE TEMP ORDERS AS SELECT FROM ORDERS;
E. CREATE TEMPORARY TABLE TEMP ORDERS AS SELECT FROM ORDERS;

Answer: E

Explanation:
The correct answer is E. Snowflake uses the keyword `TEMPORARY or 'TEMP' to create a table that exists only for the duration of the session and is automatically dropped at the end of the session. The data in a temporary table is not recoverable. A creates permanent table, C create a transient table, and D - 'VOLATILE' table is not the keyword used in snowflake.

NEW QUESTION # 61
You are working with a table named 'EMPLOYEES in the 'PUBLIC' schema of the 'COMPANY DATA' database. The table contains sensitive Personally Identifiable Information (PII). You need to implement Dynamic Data Masking to protect the 'EMAIL' and 'SALARY columns, ensuring that only users with the 'DATA ADMIN' role can view the actual values, while others see masked values for 'EMAIL' and a fixed value of '$' for 'SALARY'. Which of the following steps are required to achieve this? (Select all that apply)

A. Create a masking policy for the 'EMAIL' column that uses the 'MASK function and applies it to the
'EMPLOYEES.EMAIL' column.
B. Create a masking policy for the `EMAIL' column that uses the 'MASK' function with a condition to show the actual value for users with the role and applies it to the 'EMPLOYEES.EMAIC column.
C. Grant the 'APPLY MASKING POLICY privilege to the DATA ADMINS role.
D. Create a masking policy for the 'SALARY column that uses the 'MASK function with a condition to show the actual value for users with the 'DATA ADMIN' role and applies it to the
'EMPLOYEES.SALARY' column.
E. Create a masking policy for the `SALARY column that always returns '$' and applies it to the
'EMPLOYEES.SALARY column.

Answer: B,D

Explanation:
To achieve Dynamic Data Masking with role-based access, you need to: Create a masking policy for 'EMAIL' that masks the data unless the user has the role (Option B). Create a masking policy for 'SALARY' that returns '$' for non-SDATA_ADMIN' users and shows the actual salary for users (Option D). Option A is incorrect because it does not include the role-based condition. Option C is incomplete; it masks for all users, including DATA_ADMIN. Option E is not necessary since the DATA_ADMIN role doesn't need the APPLY MASKING POLICY, the ownership of the policy enables the admin to view the unmasked data.

NEW QUESTION # 62
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