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| Section | Objectives |
|---|---|
| Data Transformations and Querying | - Semi-structured data handling (VARIANT, JSON, Parquet) - SQL querying in Snowflake |
| Snowflake Architecture and Overview | - Snowflake architecture concepts (cloud data platform, separation of storage and compute) - Virtual warehouses and resource scaling concepts |
| Data Protection, Security, and Performance | - Time Travel and Fail-safe concepts - Query performance optimization basics - Role-based access control (RBAC) |
| Data Loading and Unloading | - Data unloading and external stages - Bulk loading using stages and COPY INTO |
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NEW QUESTION # 797
How can a Snowflake user access a JSON object, given the following table? (Select TWO).
Answer: C,D
Explanation:
To access a JSON object in Snowflake, dot notation is used where the path to the object is specified after the column name containing the JSON data. Both lowercase and uppercase can be used for attribute names, so both "name" and "Name" are valid. References: [COF-C02] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 798
Which command will indicate whether a materialized view is being used in a query?
Answer: D
NEW QUESTION # 799
What data is stored in the Snowflake storage layer? (Select TWO).
Answer: C,D
Explanation:
The Snowflake storage layer is responsible for storing data in an optimized, compressed, columnar format.
This includes micro-partitions, which are the fundamental storage units that contain the actual data stored in Snowflake. Additionally, persisted query results, which are the results of queries that have been materialized and stored for future use, are also kept within this layer. This design allows for efficient data retrieval and management within the Snowflake architecture1.
References:
* [COF-C02] SnowPro Core Certification Exam Study Guide
* Key Concepts & Architecture | Snowflake Documentation2
NEW QUESTION # 800
Which access control entity in Snowflake can be created as part of a hierarchy within an account?
Answer: A
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,role2inherits the privileges ofrole1.
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.
Snowflake Documentation: Access Control in Snowflake
Snowflake Documentation: Creating and Managing Roles
NEW QUESTION # 801
Masking policies are created at what level in Snowflake?
Answer: C
Explanation:
Masking policies in Snowflake are created and applied at the column level. These policies are used to obfuscate sensitive data by masking the values in a specific column. Masking policies can enforce data privacy and protection measures by dynamically masking the data based on the role of the user querying the data.
Snowflake Documentation: Dynamic Data Masking
NEW QUESTION # 802
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