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Snowflake SOL-C01 Exam Syllabus Topics:

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

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Snowflake Certified SnowPro Associate - Platform Certification Sample Questions (Q107-Q112):

NEW QUESTION # 107
You are developing a data pipeline in Snowflake Notebooks. One cell contains Python code that uses the Snowpark DataFrame API to perform several data transformations. After executing the cell, you observe that the execution status is 'Canceled'. What are the possible causes for this status, and how can you diagnose the issue?

A. The user manually canceled the cell execution using the Notebook interface.
B. A Snowflake administrator terminated the query associated with the Snowpark session.
C. An error occurred during the Snowpark DataFrame operations, triggering an automatic cancellation by the Snowflake engine.
D. The Snowflake warehouse was suspended due to inactivity, interrupting the Snowpark DataFrame operations.
E. The Notebook environment encountered a memory error due to the size of the Snowpark DataFrame, leading to a cancellation.

Answer: A,B,D

Explanation:
A 'Canceled' status indicates an intentional or forced termination. Manual cancellation (A) is the most straightforward cause. Warehouse suspension (B) will interrupt execution. A Snowflake admin can terminate queries (E). Error in Snowpark DataFrame execution (C) typically results in a failed status with an error message. Memory errors (D) could lead to a failure, but cancellation is less likely unless explicitly triggered within the code.

NEW QUESTION # 108
What is a key benefit of using Streamlit for data visualization in Snowflake notebooks?

A. Fixed-size compute clusters
B. Real-time interactivity and dynamic visualizations
C. Manual data storage
D. Simplified code execution

Answer: B

Explanation:
Streamlit inside Snowflake Notebooks enables users to buildinteractive, real-time visualizations and data applicationsdirectly within Snowsight. Because Streamlit is event-driven, users can create UI components such as sliders, dropdowns, date pickers, buttons, and filters that dynamically update charts, tables, and computed outputs.
Data remains inside Snowflake, processed through Python with Snowpark, eliminating data movement to external systems. This allows rapid prototyping of dashboards, analytical workflows, and AI-driven apps.
Streamlit also supports layout customization, reactive components, and seamless integration with Snowflake compute for scalable analytics.
Incorrect options:
* Streamlit doesnotmanage data storage.
* Streamlit does not simplify code execution; it enhances visualization and interactivity.
* Warehouse clusters are not fixed-size-Snowflake warehouses can scale.
Thus, its primary benefit is enablingrich interactive analytics directly within Snowflake.

NEW QUESTION # 109
What is the purpose of the COMPLETE function in Snowflake Cortex?

A. To generate text completions based on a given prompt
B. To classify text
C. To parse documents
D. To translate languages

Answer: A

Explanation:
The COMPLETE function enables natural language generation within Snowflake Cortex. It accepts a prompt and produces a text-based completion using an underlying large language model (LLM). COMPLETE can generate single-turn or multi-turn responses, depending on how the prompt is structured. It is used for tasks such as drafting summaries, generating recommendations, writing structured output such as JSON, or extending existing text. It is not a classification tool-that role is served by CLASSIFY_TEXT-and it does not perform linguistic translation (TRANSLATE) or document extraction (PARSE_DOCUMENT).
COMPLETE allows developers and analysts to embed AI-driven generative capabilities directly within SQL pipelines or Snowpark processes, eliminating the need for external LLM services.

NEW QUESTION # 110
You have a requirement to grant a third-party vendor access to specific data files stored in an internal stage within your Snowflake environment. You want to use pre-signed URLs for secure and time-limited access. Which of the following steps are necessary to achieve this securely?

A. Grant the 'USAGE privilege on the internal stage to the vendor's Snowflake user.
B. Create an internal stage, upload the files, and generate a pre-signed URL using the ` function, specifying the expiration time and file path.
C. Create an external stage pointing to an external storage location (like AWS S3), upload the files, and then use the function to create the pre-signed URL.
D. Generate the pre-signed URL using the `SYSTEM$GET PRESIGNED URL' function, ensuring that you have the 'READ' privilege on the stage and the necessary permissions to access the underlying storage.
E. Grant the privilege directly on the files within the internal stage to the vendor's Snowflake user.Pre- signed URL generation is not necessary.

Answer: B,D

Explanation:
Options A and D are correct. Pre-signed URLs are designed to grant access to files in a stage without granting direct Snowflake user privileges. Option A accurately describes the process for internal stages. Option D highlights the correct function and the necessary permissions. Option B is incorrect because pre-signed URLs are primarily used with Minternal stages to avoid needing access to the underlying cloud storage account. Option C is partially correct, but it grants broader access than intended. Option E defeats the purpose of using pre-signed URLs for time-limited, specific file access.

NEW QUESTION # 111
What is the primary purpose of Snowflake's Cloning feature?

A. To create a backup of the entire Snowflake account
B. To back up data in real-time
C. To create an exact copy of a database, schema, or table without duplicating the storage
D. To manage user permissions

Answer: C

Explanation:
Snowflake's Cloning feature provides the ability to create azero-copyclone of tables, schemas, or entire databases. This means that the cloned object references the same underlying micro-partition data as the original, so no duplicate storage costs are incurred upon creation. Instead, Snowflake uses metadata pointers to reference the existing data. If changes occur in the original or cloned objects, Snowflake performs copy-on- write operations to maintain isolation while still optimizing storage. This cloning mechanism is extremely valuable for development, testing environments, analytics validation, and troubleshooting historical states. It is not a real-time backup tool; backup and restore are handled through Time Travel and Fail-safe. Cloning does not grant or manage permissions nor copy the entire Snowflake account; it works solely at the database, schema, and table object levels.

NEW QUESTION # 112
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