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| Section | Objectives |
|---|---|
| Topic 1: Snowflake Architecture and Platform Concepts | - Virtual warehouses and compute model - Snowflake architecture fundamentals - Storage and data organization |
| Topic 2: Data Loading and Unloading | - Bulk data loading using stages and COPY INTO - External and internal stages |
| Topic 3: Performance and Optimization | - Warehouse sizing and scaling - Query optimization basics |
| Topic 4: Security and Access Control | - Role-based access control (RBAC) - Authentication and user management |
| Topic 5: Data Transformation and Processing | - Streams and tasks for data pipelines - SQL operations in Snowflake |
| Topic 6: Data Sharing and Protection | - Secure data sharing - Data replication and failover concepts |
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NEW QUESTION # 159
A data provider wants to share data with a consumer who does not have a Snowflake account. The provider creates a reader account for the consumer following these steps:
1. Created a user called "CONSUMER"
2. Created a database to hold the share and an extra-small warehouse to query the data
3. Granted the role PUBLIC the following privileges: Usage on the warehouse, database, and schema, and SELECT on all the objects in the share Based on this configuration what is true of the reader account?
Answer: A
Explanation:
The reader account compute will be billed to the provider account. Very Comprehensive Explanation: In Snowflake, when a provider creates a reader account for a consumer who does not have a Snowflake account, the compute resources used by the reader account are billed to the provider's account. This allows the consumer to query the shared data without incurring any costs. References: [COF-C02] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 160
Which Snowflake technique can be used to improve the performance of a query?
Answer: A
Explanation:
Clustering is a technique used in Snowflake to improve the performance of queries. It involves organizing the data in a table into micro-partitions based on the values of one or more columns. This organization allows Snowflake to efficiently prune non-relevant micro-partitions during a query, which reduces the amount of data scanned and improves query performance.
References:
[COF-C02] SnowPro Core Certification Exam Study Guide
Snowflake Documentation on Clustering
NEW QUESTION # 161
Which account__usage views are used to evaluate the details of dynamic data masking? (Select TWO)
Answer: B,C
Explanation:
To evaluate the details of dynamic data masking, the POLICY_REFERENCES and ACCESS_HISTORY views in the account_usage schema are used. The POLICY_REFERENCES view provides information about the objects to which a masking policy is applied, and the ACCESS_HISTORY view contains details about access to the masked data, which can be used to audit and verify the application of dynamic data masking policies.
References:
[COF-C02] SnowPro Core Certification Exam Study Guide
Snowflake Documentation on Dynamic Data Masking1
NEW QUESTION # 162
A user needs to load Snowflake files from a stage that contains data from the past 5 years while using the least amount of operational overhead. The file names follow a specific format, such as files ending in _01.gz.
Which command should be used to load the data from 2024?
Answer: A
Explanation:
The correct answer is B. Use the COPY INTO command using the PATTERN parameter to define the needed files .
The PATTERN parameter in the COPY INTO < table > command allows Snowflake to load only files whose names match a specified regular expression. This is useful when a stage contains many files and the required files can be identified by a naming pattern, such as year or suffix.
Why B is correct:
The user needs to load a subset of staged files from a 5-year collection and wants the least operational overhead. Using PATTERN avoids manually listing files, removing files, or downloading and restaging data.
Example concept:
COPY INTO target_table
FROM @my_stage
PATTERN = ' .*2024.*_01[.]gz ' ;
Why the other options are incorrect:
A). Individually loading files creates more manual work and higher operational overhead.
C). Removing unwanted files is risky and unnecessary. It also changes the staged file set.
D). Downloading files with GET, creating a new stage, and reloading files adds unnecessary operational complexity.
Official Snowflake documentation reference:
Snowflake documentation explains that the PATTERN option in COPY INTO < table > specifies a regular expression pattern used to match staged file names for loading.
Reference: Snowflake Documentation - COPY INTO < table > ; Snowflake Documentation - PATTERN copy option; SnowPro Core Study Guide - Data Loading and Unloading.
NEW QUESTION # 163
Which of the following conditions must be met in order to return results from the results cache? (Select TWO).
Answer: A,B
Explanation:
To return results from the results cache in Snowflake, certain conditions must be met:
Privileges: The user must have the appropriate privileges on the objects associated with the query. This ensures that only authorized users can access cached data.
Time Frame: The query must have been run within 24 hours of the previously-run query. Snowflake's results cache is designed to store the results of queries for a short period, typically 24 hours, to improve performance for repeated queries.
NEW QUESTION # 164
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