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| Section | Weight | Objectives |
|---|
| Data Handling and Transformation | 15-20% | - Semi-Structured Data
- 1. JSON/Avro/Parquet Handling
- 2. VARIANT Data Type
- 3. Flattening Data
- Data Transformation
- 1. Data Pipelines
- 2. Snowflake SQL Functions
- 3. Time Travel Features
|
| Billing and Account Management | 10-15% | - Account Operations
- 1. Object Naming Conventions
- 2. Account Parameters
- 3. Database/Schema Management
- Credit Usage
- 1. Resource Monitors
- 2. Credit Monitoring
|
| Cloud Architecture and Data Loading | 20-25% | - Data Loading Techniques
- 1. Continuous Loading
- 2. Bulk Loading (COPY INTO)
- 3. Data Loading Best Practices
- Snowflake Architecture Overview
- 1. Snowflake Editions
- 2. Layers (Storage, Compute, Services)
- 3. Virtual Warehouses
- 4. Multi-cluster Warehouses
|
| Performance Optimization | 20-25% | - Query Performance
- 1. Query History
- 2. Result Set Caching
- 3. Query Profiling
- Warehouse Optimization
- 1. Multi-cluster Configuration
- 2. Auto-Suspend/Auto-Resume
- 3. Warehouse Sizing
- Data Optimization
- 1. Search Optimization Service
- 2. Materialized Views
- 3. Clustering Keys
|
| Account Access and Security | 20-25% | - Authentication
- 1. User/Role Management
- 2. SSO Integration
- 3. Multi-Factor Authentication
- Network Security
- 1. Private Connectivity
- 2. Network Policies
- Authorization
- 1. Object Privileges
- 2. Grant/Revoke Commands
- 3. Role Hierarchy
|
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Snowflake SnowPro Core Certification Exam Sample Questions (Q54-Q59):
NEW QUESTION # 54
How does Snowflake utilize clustering information to improve query performance?
- A. It prunes unnecessary micro-partitions based on clustering metadata.
- B. It compresses the data within micro-partitions for faster querying.
- C. It organizes clustering information to speed-up data retrieval from storage
- D. It automatically allocates additional resources to improve query execution.
Answer: A
Explanation:
Snowflake utilizes clustering information to enhance query performance by pruning unnecessary micro-partitions.
* Clustering Metadata: Snowflake stores clustering information for each micro-partition, which includes data range and distribution.
* Pruning Micro-partitions: When a query is executed, Snowflake uses this clustering metadata to identify and eliminate micro-partitions that do not match the query criteria, thereby reducing the amount of data scanned and improving query performance.
References:
* Snowflake Documentation on Clustering
* Snowflake Documentation on Micro-partition Pruning
NEW QUESTION # 55
Which file function generates a SnowFlake-hosted URL that must be authenticated when used?
- A. BUILD_SCOPED_FILE_URL
- B. GET_PRESENT_URL
- C. BUILD_STAGE_FILE_URL
- D. GET_STATE_LOCATION
Answer: C
Explanation:
* Purpose: The BUILD_STAGE_FILE_URL function generates a temporary, pre-signed URL that allows you to access a file within a Snowflake stage (internal or external). This URL requires authentication to use.
* Key Points:
* Security: The URL has a limited lifespan, enhancing security.
* Use Cases: Sharing staged data with external tools or applications, or downloading it directly.
* Snowflake Documentation
(BUILD_STAGE_FILE_URL): https://docs.snowflake.com/en/sql-reference/functions/build_stage_file_ur
NEW QUESTION # 56
Which access control entity in Snowflake can be created as part of a hierarchy within an account?
- A. User
- B. Role
- C. Privilege
- D. Securable object
Answer: B
Explanation:
In Snowflake, a role is an access control entity that can be created as part of a hierarchy within an account. Roles are used to grant and manage privileges in a structured and scalable manner.
Understanding Roles:
Roles are logical entities that group privileges together.
They are used to control access to securable objects like tables, views, warehouses, and more.
Role Hierarchy:
Roles can be organized into a hierarchy, allowing for the inheritance of privileges.
A role higher in the hierarchy (parent role) can grant its privileges to a lower role (child role), simplifying privilege management.
Creating Roles:
Roles can be created using the CREATE ROLE command.
You can define parent-child relationships by granting one role to another.
Example Usage:
CREATE ROLE role1;
CREATE ROLE role2;
GRANT ROLE role1 TO role2;
In this example, role2 inherits the privileges of role1.
Benefits:
Simplifies privilege management: Hierarchies allow for efficient privilege assignment and inheritance.
Enhances security: Roles provide a clear structure for managing access control, ensuring that privileges are granted appropriately.
Reference:
Snowflake Documentation: Access Control in Snowflake
Snowflake Documentation: Creating and Managing Roles
NEW QUESTION # 57
What is the recommended way to change the existing file format type in my format from CSV to JSON?
- A. ALTER FILE FORMAT my format SWAP TYPE WITH JSON;
- B. CREATE OR REPLACE FILE FORMAT my format TYPE-JSON;
- C. ALTER FILE FORMAT my_format SET TYPE=JSON;
- D. REPLACE FILE FORMAT my format TYPE-JSON;
Answer: C
Explanation:
To change the existing file format type from CSV to JSON, the recommended way is to use the ALTER FILE FORMAT command with the SET TYPE=JSON clause. This alters the file format specification to use JSON instead of CSV. Reference: Based on my internal knowledge as of 2021.
NEW QUESTION # 58
Which command removes a role from another role or a user in Snowflak?
- A. USE SECONDARY ROLES
- B. ALTER ROLE
- C. REVOKE ROLE
- D. USE ROLE
Answer: C
Explanation:
The REVOKE ROLE command is used to remove a role from another role or a user in Snowflake. This command is part of Snowflake's role-based access control system, allowing administrators to manage permissions and access to database objects efficiently by adding or removing roles from users or other roles.
Reference:
Snowflake Documentation: REVOKE ROLE
NEW QUESTION # 59
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