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| Section | Objectives |
|---|---|
| Data Transformations and Querying | - SQL querying in Snowflake - Semi-structured data handling (VARIANT, JSON, Parquet) |
| 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 | - Role-based access control (RBAC) - Time Travel and Fail-safe concepts - Query performance optimization basics |
| Data Loading and Unloading | - Bulk loading using stages and COPY INTO - Data unloading and external stages |
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NEW QUESTION # 315
How can a Snowflake user access a JSON object, given the following table? (Select TWO).
Answer: C,E
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 # 316
What should be used when creating a CSV file format where the columns are wrapped by single quotes or double quotes?
Answer: A
NEW QUESTION # 317
What is the MAXIMUM Time Travel retention period for a transient table?
Answer: B
NEW QUESTION # 318
Which activities are included in the Cloud Services layer? {Select TWO).
Answer: C,E
Explanation:
The Cloud Services layer in Snowflake is responsible for a wide range of services that facilitate the management and use of Snowflake, including:
D . User authentication: This service handles identity and access management, ensuring that only authorized users can access Snowflake resources.
E . Infrastructure management: This service manages the allocation and scaling of resources to meet user demands, including the management of virtual warehouses, storage, and the orchestration of query execution.
These services are part of Snowflake's fully managed, cloud-based architecture, which abstracts and automates many of the complexities associated with data warehousing.
Reference:
Snowflake Documentation: Overview of Snowflake Cloud Services
NEW QUESTION # 319
Which feature is only available in the Enterprise or higher editions of Snowflake?
Answer: B
Explanation:
Column-level security is a feature that allows fine-grained control over access to specific columns within a table. This is particularly useful for managing sensitive data and ensuring that only authorized users can view or manipulate certain pieces of information. According to my last update, this feature was available in the Enterprise Edition or higher editions of Snowflake.
References: Based on my internal data as of 2021, column-level security is an advanced feature typically reserved for higher-tiered editions like the Enterprise Edition in data warehousing solutions such as Snowflake.
https://docs.snowflake.com/en/user-guide/intro-editions.html
NEW QUESTION # 320
......
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