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Snowflake SOL-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Data Loading and Virtual Warehouses	40%	- Create tables in Snowflake and load data into the tables 1. Use Snowsight to identify particular tables 2. Use Snowsight to load data 3. Use INSERT statements to load data 4. Preview the table data 5. Use COPY INTO statements 6. File format options 7. View the table definition - Explain how to work with unstructured data 1. Directory tables (Enable, Use of SELECT statements) 2. Use of Pre-signed URLs 3. Function argument - Explain how to use Snowflake Cortex LLM functions 1. CLASSIFY_TEXT function 2. COMPLETE function 3. PARSE_DOCUMENT function 4. TRANSLATE function
Topic 2: Interacting with Snowflake and the Architecture	35%	- Describe Snowflake objects and how they fit into the Snowflake hierarchy 1. Data types 2. Views 3. Tables 4. Databases 5. Schemas - Describe how to use the Snowsight user interface 1. Data loading 2. Create objects (e.g., databases, schemas, stages) 3. Query history 4. Object browsers - Work with Snowflake Notebooks 1. Notebook sessions 2. Visualize data using Streamlit 3. Run code (SQL, Python, Cell execution status) 4. Python variable substitution - Outline the key Snowflake user interfaces 1. Worksheets (Python, SQL) 2. Snowflake Notebooks 3. Snowsight - Outline key features and benefits of the Snowflake AI Data Cloud 1. Elastic storage 2. Snowflake layers 3. Elastic compute
Topic 3: Identity and Data Access Management	15%	- Define the roles that are used in Snowflake 1. Explain role hierarchy 2. Object access by role 3. Role types 4. Privileges 5. Role-Based Access Control (RBAC) - Create a database, explore data, configure parameters, and transfer ownership 1. Use database objects (INFORMATION_SCHEMA, PUBLIC SCHEMA) 2. Run basic SQL commands (EXCLUDE, SELECT, LIMIT) 3. Create and drop schemas 4. Understand context 5. Transfer ownership
Topic 4: Data Protection and Data Sharing	10%	- Define Snowflake data sharing capabilities 1. Snowflake Marketplace (Search) - Outline continuous data protection with Snowflake 1. Time Travel 2. Cloning

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Snowflake Certified SnowPro Associate - Platform Certification Sample Questions (Q142-Q147):

NEW QUESTION # 142
What is the Snowsight object browser used for?

A. To manage virtual warehouses
B. To create Snowsight worksheets
C. To view and filter database objects
D. To modify security settings for objects

Answer: C

Explanation:
The Snowsight object browser is Snowflake's built-in visual interface for exploring and navigating all database objects within an account. It provides a hierarchical view across databases, schemas, and contained objects such as tables, views, stages, pipes, file formats, procedures, and functions. The key purpose of the object browser is to make it easy for users to view and filter database objects without needing SQL commands. Users can search objects by name, apply filters, preview table metadata, and inspect properties such as storage usage or row counts.
The object browser does not manage warehouses; warehouse management is done under the "Warehouses" section. It also does not create worksheets; worksheets are created in the "Worksheets" section. Additionally, the object browser does not modify security settings-permissions and grants are controlled through SQL (GRANT, REVOKE, SHOW GRANTS) or through the Access Control interfaces.
In summary, the object browser is a discovery and navigation layer, allowing users to efficiently find, inspect, and explore Snowflake objects.

NEW QUESTION # 143
When loading data into a table using the COPY INTO command, what is the default error-handling setting?

A. VALIDATE
B. SKIP_FILE
C. ABORT_STATEMENT
D. CONTINUE

Answer: C

Explanation:
By default, Snowflake usesON_ERROR = ABORT_STATEMENTfor COPY INTO. This means that if a single row fails to load due to issues such as type mismatches or malformed data, Snowflake immediately stops the entire load operation. This behavior ensures data integrity by preventing partial or incomplete loads when errors occur.
Other error-handling modes must be explicitly specified: CONTINUE skips erroneous rows, SKIP_FILE skips whole files with errors, and VALIDATE is part of the validation mode feature, not a default COPY behavior.
Thus, unless explicitly changed, COPY INTO always uses ABORT_STATEMENT.

NEW QUESTION # 144
You are tasked with classifying a large dataset of customer support tickets using Snowflake Cortex's CLASSIFY TEXT function. You need to ensure optimal performance and cost- effectiveness. Which of the following strategies would be MOST effective?

A. Increase the parameter to a very high value to prevent query failures due to the long processing time of CLASSIFY TEXT.
B. Load all customer support tickets into a single very wide row and classify that single row using CLASSIFY _ TEXT. This minimizes the number of rows processed.
C. Use a very large warehouse (e.g., X-LARGE) to execute the CLASSIFY _ TEXT function, regardless of the data volume. Larger warehouses always provide faster processing.
D. Disable auto-suspension on your warehouse to keep it running continuously while classifying the data. This will prevent any potential startup delays.
E. Profile the execution time of CLASSIFY _ TEXT with different warehouse sizes and choose the smallest warehouse that meets your performance requirements. Store the results in a materialized view.

Answer: E

Explanation:
Option C is the most sensible approach. Profiling with different warehouse sizes allows you to determine the optimal balance between performance and cost. Using a materialized view ensures that the classification is only performed once, and subsequent queries are faster. Option A is wasteful, as a very large warehouse may not be necessary. Option B addresses timeout issues but doesn't optimize performance or cost. Option D is also wasteful and can lead to unnecessary costs. Option E is illogical as CLASSIFY _ TEXT is applied to text and not a representation of the entire dataset in a single row.

NEW QUESTION # 145
What is a key feature of custom roles in Snowflake? (Choose any 2 options)

A. They are created by Snowflake administrators
B. They have predefined privileges
C. They cannot be granted to users
D. They can be tailored to specific organizational requirements

Answer: A,D

Explanation:
Custom roles in Snowflake allow administrators to design access patterns aligned with organizational security requirements. They are created by Snowflake administrators and do not have predefined privileges; instead, privileges must be granted explicitly. Custom roles can be assigned to users or other roles, just like system- defined roles. Thus, the key attributes are that they are created by administrators and tailored to meet specific organizational needs.

NEW QUESTION # 146
A data engineer accidentally drops a critical table named 'CUSTOMER DATA in the 'SALES DB' database. They immediately realize the mistake. Which sequence of actions would be the MOST efficient and reliable way to restore the table using Snowflake's Time Travel feature, assuming the standard data retention period applies and the table hasn't been purged?

A. Execute UNDROP TABLE SALES DB.CUSTOMER DATA;'
B. Create a new table and then copy the data from a backup.
C. Create a clone of the table from a point in time before the drop: 'CREATE TABLE AS (SELECT FROM
D. SALES_DB.CUSTOMER_DATA BEFORE(statement followed by renaming and then dropping the original table.
E. Execute `RESTORE TABLE SALES DB.CUSTOMER DATA;'

Answer: A

Explanation:
The ` UNDROP TABLE' command is the fastest and most direct way to restore a recently dropped table within the Time Travel retention period. Option B requires finding the query ID and cloning, which is less efficient. Option C is not a valid Snowflake command. Option D relies on an external backup which is outside the scope of Time Travel.

NEW QUESTION # 147
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