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| Section | Objectives |
|---|---|
| Topic 1: Security and Access Control | - Authentication and user management - Role-based access control (RBAC) |
| Topic 2: Performance and Optimization | - Query optimization basics - Warehouse sizing and scaling |
| Topic 3: Data Sharing and Protection | - Data replication and failover concepts - Secure data sharing |
| Topic 4: Data Transformation and Processing | - Streams and tasks for data pipelines - SQL operations in Snowflake |
| Topic 5: Snowflake Architecture and Platform Concepts | - Storage and data organization - Snowflake architecture fundamentals - Virtual warehouses and compute model |
| Topic 6: Data Loading and Unloading | - Bulk data loading using stages and COPY INTO - External and internal stages |
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NEW QUESTION # 867
What Snowflake recommendation is designed to ensure that staged data is only loaded once"?
Answer: A
Explanation:
Snowflake recommends removing data files from the staging area after they have been loaded into the target table. This practice ensures that the data is only loaded once and prevents accidental reloading of the same data. By removing the files, you eliminate the risk of duplicate data loads.
Stage the Data: Upload the data files to a Snowflake stage (internal or external).
Load the Data: Use the COPY INTO command to load the data from the stage into the Snowflake table.
Remove the Data Files: After successfully loading the data, remove the data files from the stage using the REMOVE command.
References:
Snowflake Documentation: Loading Data into Snowflake
Snowflake Documentation: Staging Data Files
Snowflake Documentation: COPY INTO Command
NEW QUESTION # 868
Which column data type is supported when defining a clustering key on a table?
Answer: B
Explanation:
The correct answer is A. VARCHAR .
A clustering key can be defined on supported table columns or expressions to help Snowflake organize micro- partitions and improve pruning for certain query patterns. Standard scalar data types such as VARCHAR are supported.
Why A is correct:
VARCHAR is a standard scalar data type and can be used in a clustering key.
Example:
CREATE TABLE customer_orders (
customer_id VARCHAR,
order_date DATE,
amount NUMBER
)
CLUSTER BY (customer_id);
Why the other options are incorrect:
B). VARIANT stores semi-structured data. Clustering directly on raw semi-structured columns is not the best answer here; clustering keys should use supported scalar columns or expressions.
C). OBJECT is a semi-structured data type and is not the correct choice for a clustering key column in this question.
D). GEOGRAPHY is not the correct supported clustering key data type in this context.
Official Snowflake documentation reference:
Snowflake documentation explains that clustering keys can be defined using table columns or expressions, and standard scalar columns such as string, number, and date/time columns are commonly used for clustering.
Reference: Snowflake Documentation - Clustering keys and clustered tables; Snowflake Documentation - Table data types; SnowPro Core Study Guide - Performance Optimization.
==
NEW QUESTION # 869
When unloading data: which file formal will keep floating-point number column data without truncating it?
Answer: A
NEW QUESTION # 870
What type of queries will benefit from the search optimization service when using equality predicates?
Answer: C
NEW QUESTION # 871
Which table type stores a catalog of staged files in cloud storage?
Answer: A
Explanation:
The correct answer is B. Directory table .
A directory table is not a regular user-created table like a permanent, transient, or temporary table. It is an implicit object associated with a stage. It stores file-level metadata about staged files in cloud storage.
Directory tables are useful when users need to query information about files stored in a stage, such as file names, sizes, last modified timestamps, and relative paths.
Why B is correct:
A directory table stores a catalog of staged files in cloud storage. It allows users to query metadata about files in a stage using SQL.
Example concept:
SELECT *
FROM DIRECTORY(@my_stage);
This returns metadata about files stored in the stage.
Why the other options are incorrect:
A). Transient table stores user data but does not store a catalog of staged files.
C). Temporary table stores session-specific user data and disappears at the end of the session.
D). Permanent table stores persistent user data and supports Fail-safe, but it is not specifically used to catalog staged files.
Official Snowflake documentation reference:
Snowflake documentation describes directory tables as objects that store a catalog of staged files in cloud storage. Directory tables are associated with stages and can be queried to retrieve file metadata.
Reference: Snowflake Documentation - Directory tables; Snowflake Documentation - Stages; SnowPro Core Study Guide - Data Loading and Unloading.
==
NEW QUESTION # 872
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