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| Section | Objectives |
|---|---|
| Performance and Optimization | - Warehouse sizing and scaling - Query optimization basics |
| Data Transformation and Processing | - Streams and tasks for data pipelines - SQL operations in Snowflake |
| Data Loading and Unloading | - External and internal stages - Bulk data loading using stages and COPY INTO |
| Snowflake Architecture and Platform Concepts | - Storage and data organization - Virtual warehouses and compute model - Snowflake architecture fundamentals |
| Security and Access Control | - Authentication and user management - Role-based access control (RBAC) |
| Data Sharing and Protection | - Secure data sharing - Data replication and failover concepts |
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NEW QUESTION # 974
Which command can be used to stage local files from which Snowflake interface?
Answer: D
Explanation:
SnowSQL is the command-line client for Snowflake that allows users to execute SQL queries and perform all DDL and DML operations, including staging files for bulk data loading. It is specifically designed for scripting and automating tasks.
References:
SnowPro Core Certification Exam Study Guide
Snowflake Documentation on SnowSQL
https://docs.snowflake.com/en/user-guide/snowsql-use.html
NEW QUESTION # 975
Which table type stores a catalog of staged files in cloud storage?
Answer: C
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 # 976
When using the COPY INTO < location > command, which parameter is used to unload table rows into separate files?
Answer: C
Explanation:
The correct answer is B. PARTITION BY .
The PARTITION BY option in COPY INTO < location > partitions unloaded data into separate files based on the expression specified. This is commonly used to organize unloaded files by values such as date, region, or another column.
Why B is correct:
PARTITION BY controls how unloaded rows are grouped into different output paths/files.
Example:
COPY INTO @my_stage/sales/
FROM sales
PARTITION BY (TO_DATE(sale_date))
FILE_FORMAT = (TYPE = CSV);
This unloads rows into separate output paths based on the sale_date expression.
Why the other options are incorrect:
A). DETAILED_OUTPUT controls the amount of unload result information returned by the command.
C). FILE_FORMAT controls the format of the unloaded files, such as CSV, JSON, or Parquet.
D). HEADER controls whether column headings are included in unloaded output files.
Official Snowflake documentation reference:
Snowflake documentation for COPY INTO < location > describes PARTITION BY as the option used to partition unloaded rows into separate files based on an expression.
Reference: Snowflake Documentation - COPY INTO < location > ; Snowflake Documentation - Unloading data with partitioning; SnowPro Core Study Guide - Data Loading and Unloading.
NEW QUESTION # 977
Where can a user find and review the failed logins of a specific user for the past 30 days?
Answer: A
Explanation:
The LOGIN_HISTORY view in the ACCOUNT_USAGE schema provides information about login attempts, including both successful and failed logins. This view can be used to review the failed login attempts of a specific user for the past 30 days.References:[COF-C02] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 978
What are key characteristics of virtual warehouses in Snowflake? (Select TWO).
Answer: A,B
Explanation:
Virtual warehouses in Snowflake can be started and stopped at any time, providing flexibility in managing compute resources. They can also be resized at any time, even while running, toaccommodate varying workloads910. References: [ COF-C03 ] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 979
......
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