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| Section | Weight | Objectives |
|---|
| Topic 1: Interacting with Snowflake and the Architecture | 35% | - Outline key features and benefits of the Snowflake AI Data Cloud
- 1. Elastic compute
- 2. Elastic storage
- 3. Snowflake layers
- Describe Snowflake objects and how they fit into the Snowflake hierarchy
- 1. Views
- 2. Databases
- 3. Data types
- 4. Schemas
- 5. Tables
- Work with Snowflake Notebooks
- 1. Python variable substitution
- 2. Notebook sessions
- 3. Visualize data using Streamlit
- 4. Run code (SQL, Python, Cell execution status)
- Describe how to use the Snowsight user interface
- 1. Object browsers
- 2. Data loading
- 3. Create objects (e.g., databases, schemas, stages)
- 4. Query history
- Outline the key Snowflake user interfaces
- 1. Snowsight
- 2. Worksheets (Python, SQL)
- 3. Snowflake Notebooks
|
| Topic 2: Identity and Data Access Management | 15% | - Define the roles that are used in Snowflake
- 1. Object access by role
- 2. Role-Based Access Control (RBAC)
- 3. Explain role hierarchy
- 4. Role types
- 5. Privileges
- 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. Transfer ownership
- 4. Create and drop schemas
- 5. Understand context
|
| Topic 3: Data Loading and Virtual Warehouses | 40% | - Explain how to use Snowflake Cortex LLM functions
- 1. COMPLETE function
- 2. TRANSLATE function
- 3. PARSE_DOCUMENT function
- 4. CLASSIFY_TEXT function
- Explain how to work with unstructured data
- 1. Use of Pre-signed URLs
- 2. Directory tables (Enable, Use of SELECT statements)
- 3. Function argument
- Create tables in Snowflake and load data into the tables
- 1. Use INSERT statements to load data
- 2. File format options
- 3. Use COPY INTO statements
- 4. View the table definition
- 5. Preview the table data
- 6. Use Snowsight to identify particular tables
- 7. Use Snowsight to load data
|
| Topic 4: Data Protection and Data Sharing | 10% | - Outline continuous data protection with Snowflake - Define Snowflake data sharing capabilities
- 1. Snowflake Marketplace (Search)
|
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Snowflake Certified SnowPro Associate - Platform Certification Sample Questions (Q175-Q180):
NEW QUESTION # 175
What will occur if a virtual warehouse size is increased from Small to Medium?
- A. Query scheduling will be optimized.
- B. The compute capacity will be doubled.
- C. Additional user roles will be available in the warehouse.
- D. Additional micro-partitions will be created in the warehouse.
Answer: B
NEW QUESTION # 176
What is the default Time Travel data retention period?
- A. 45 days
- B. 7 days
- C. 90 days
- D. 1 day
Answer: D
Explanation:
The default Time Travel retention period for most objects in Snowflake is1 day(24 hours). Time Travel enables access to historical versions of data after updates, deletes, or drops. It also allows cloning databases, schemas, and tables at previous points in time, and recovering dropped objects.
While Snowflake Enterprise Edition and higher tiers allow retention periods up to 90 days, this extended window is not the default-administrators must explicitly configure it for each table, schema, or database.
Retention periods of 7, 45, or 90 days are possible only with higher service editions; the default for all accounts and objects remains 1 day unless explicitly overridden.
NEW QUESTION # 177
What are Snowflake customers responsible for?
- A. Software installation and updates
- B. Loading, unloading, and managing data
- C. Managing table metadata
- D. Managing the hardware on which Snowflake is installed
Answer: B
Explanation:
As a fully managed cloud data platform, Snowflake is responsible for infrastructure provisioning, hardware, software installation, platform upgrades, scaling, and internal metadata management such as micro-partitions and statistics. Customers do not manage physical hardware or install Snowflake software.
Customers are responsible for their data and its lifecycle within Snowflake. This includes loading data into tables from internal and external sources, unloading data when required, organizing data structures (databases, schemas, tables), defining access controls, and managing how data is used, transformed, and governed. They design schemas and workloads but do not manage the underlying engine. Therefore, "Loading, unloading, and managing data" correctly describes the customer's responsibility.
NEW QUESTION # 178
Which Snowflake object is a logical container for schemas and other database objects?
- A. View
- B. Table
- C. Database
- D. Schema
Answer: C
Explanation:
ADatabaseis the highest logical container for schemas and their objects in Snowflake.
Hierarchy:
Account # Database # Schema # Tables, Views, Stages, etc.
Schemas organize objects within a database; tables and views do not contain objects.
NEW QUESTION # 179
What is the default Time Travel retention period for standard tables in Snowflake?
- A. 7 days
- B. 0 days
- C. 1 day
- D. 14 days
Answer: C
Explanation:
Standard permanent tables in Snowflake have a default1-day Time Travel retention period. During this period, users may query historical data, restore dropped tables, or clone past states. Higher editions allow extending this period up to 90 days. Temporary and transient tables have 0-day retention by default.
NEW QUESTION # 180
......
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