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Snowflake COF-C03 Exam Syllabus Topics:

SectionObjectives
Snowflake Architecture and Platform Concepts- Storage and data organization
- Virtual warehouses and compute model
- Snowflake architecture fundamentals
Data Transformation and Processing- SQL operations in Snowflake
- Streams and tasks for data pipelines
Data Sharing and Protection- Secure data sharing
- Data replication and failover concepts
Security and Access Control- Authentication and user management
- Role-based access control (RBAC)
Data Loading and Unloading- Bulk data loading using stages and COPY INTO
- External and internal stages
Performance and Optimization- Warehouse sizing and scaling
- Query optimization basics

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Snowflake SnowPro® Core Certification 2026 Exam (COF-C03) Sample Questions (Q584-Q589):

NEW QUESTION # 584
Which command can be used to load data into an internal stage?

Answer: C

Explanation:
The PUT command is used to load data into an internal stage in Snowflake. This command uploads data files from a local file system to a named internal stage, making the data available for subsequent loading into a Snowflake table using the COPY INTO command.
References:
[ COF-C03 ] SnowPro Core Certification Exam Study Guide
Snowflake Documentation on Data Loading


NEW QUESTION # 585
Which statement describes Snowflake tables?

Answer: C

Explanation:
In Snowflake, tables represent a logical structure through which users interact with the stored data. The actual physical data is stored in micro-partitions managed by Snowflake, and the logical table structure provides the means by which SQL operations are mapped to this data. This architecture allows Snowflake to optimize storage and querying across its distributed, cloud-based data storage system.References: Snowflake Documentation on Tables


NEW QUESTION # 586
Which data formats are supported by Snowflake when unloading semi-structured data? (Select TWO).

Answer: B,E

Explanation:
Snowflake supports a variety of file formats for unloading semi-structured data, among which Parquet and Newline Delimited JSON (NDJSON) are two widely used formats.
B . Binary file in Parquet: Parquet is a columnar storage file format optimized for large-scale data processing and analysis. It is especially suited for complex nested data structures.
D . Newline Delimited JSON (NDJSON): This format represents JSON records separated by newline characters, facilitating the storage and processing of multiple, separate JSON objects in a single file.
These formats are chosen for their efficiency and compatibility with data analytics tools and ecosystems, enabling seamless integration and processing of exported data.
References:
Snowflake Documentation: Data Unloading


NEW QUESTION # 587
Which option will create a table without data from the CUSTOMERS table?

Answer: D

Explanation:
The correct answer is A. CREATE TABLE CUSTOMERS_CLONE LIKE CUSTOMERS; .
The CREATE TABLE ... LIKE command creates a new table with the same column definitions as an existing table, but it does not copy the data from the source table.
Why A is correct:
CREATE TABLE CUSTOMERS_CLONE LIKE CUSTOMERS; creates an empty table with the same structure as CUSTOMERS.
Why the other options are incorrect:
B). CREATE TABLE ... CLONE creates a zero-copy clone of the source table, including access to the source table's existing data at the time of cloning.
C). This creates a temporary table with one column named CLONE; it does not create a table based on the structure of CUSTOMERS.
D). CREATE TABLE ... AS SELECT creates a new table and inserts the result of the query, so it copies data from CUSTOMERS.
Official Snowflake documentation reference:
Snowflake documentation explains that CREATE TABLE ... LIKE creates a new table with the same column definitions as another table, but without copying data.
Reference: Snowflake Documentation - CREATE TABLE ... LIKE; Snowflake Documentation - CREATE TABLE ... CLONE; SnowPro Core Study Guide - SQL and Snowflake Objects.


NEW QUESTION # 588
Which columns are part of the result set of the Snowflake LATERAL FLATTEN command? (Choose two.)

Answer: C,E

Explanation:
The LATERAL FLATTEN command in Snowflake produces a result set that includes several columns, among which PATH and INDEXbare includedPATH indicates the path to the element within a data structure that needs to be flattened, and INDEX represents the index of the element if it is an array2.


NEW QUESTION # 589
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