Latest [Aug 30, 2026] COF-C03 Exam with Accurate SnowPro® Core Certification 2026 Exam (COF-C03) PDF Questions
Take a Leap Forward in Your Career by Earning Snowflake 1187 Questions
NEW QUESTION # 475
What is the MINIMUM Snowflake edition required to use the periodic rekeying of micro-partitions?
- A. Enterprise
- B. Business Critical
- C. Standard
- D. Virtual Private Snowflake
Answer: A
Explanation:
Periodic rekeying of micro-partitions is a feature that requires the Enterprise Edition of Snowflake or higher.This feature is part of Snowflake's comprehensive approach to encryption key management, ensuring data security through regular rekeying1.References:[COF-C02] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 476
Which database objects can be shared with the Snowflake secure data sharing feature? (Choose two.)
- A. Files
- B. Secure User-Defined Functions (UDFs)
- C. External tables
- D. Streams
- E. Sequences
Answer: B,C
Explanation:
Snowflake's secure data sharing feature allows sharing of certain database objects with other Snowflake accounts.Among the options provided, external tables and secure UDFs can be shared
NEW QUESTION # 477
Which feature of Snowflake's Continuous Data Protection (CDP) has associated costs?
- A. Fail-safe
- B. Network policies
- C. Multi-Factor Authentication (MFA)
- D. End-to-end encryption
Answer: A
Explanation:
Snowflake's Continuous Data Protection (CDP) features encompass several mechanisms designed to protect data and ensure its availability and recoverability. Among these features, the one that has associated costs is Fail-safe.
Fail-safe is an additional layer of protection that kicks in after the Time Travel period expires. While Time Travel allows users to access historical data within a defined retention period (which can vary from 1 to 90 days depending on the Snowflake edition), Fail-safe provides a further 7 days (for a total of 7 additional days beyond the Time Travel period) during which Snowflake retains the data. This period is primarily intended for Snowflake's internal operations to recover data in the event of extreme scenarios, such as significant operational failures, and is not directly accessible by customers for data recovery purposes.
The associated costs with Fail-safe arise because Snowflake continues to store the data beyond the customer-specified Time Travel period, thereby incurring additional storage costs. It's important to note that while users do not incur direct costs for enabling Fail-safe (as it is an automatic feature of Snowflake), the extended storage of data during this period contributes to overall storage costs.
References:
Snowflake Documentation on Continuous Data Protection: Continuous Data Protection (CDP) Snowflake Documentation on Fail-safe: Understanding Fail-safe
NEW QUESTION # 478
A permanent table and temporary table have the same name, TBL1, in a schema.
What will happen if a user executes select * from TBL1 ;?
- A. The permanent table will take precedence over the temporary table.
- B. The table that was created most recently will take precedence over the older table.
- C. An error will say there cannot be two tables with the same name in a schema.
- D. The temporary table will take precedence over the permanent table.
Answer: D
Explanation:
In Snowflake, if a temporary table and a permanent table have the same name within the same schema, the temporary table takes precedence over the permanent table within the session where the temporary table was created4.
NEW QUESTION # 479
Queries are frequently run on very large tables and return only a few rows.
Use of which feature or service will optimize the query performance?
- A. The Query Acceleration Service
- B. Automatic Clustering
- C. The Search Optimization Service
- D. A Materialized View
Answer: C
Explanation:
Search Optimization Service enhances performance for selective queries that return a small number of rows from large datasets. It avoids full table scans.
Reference:
Snowflake Docs: Search Optimization Service
NEW QUESTION # 480
How would you determine the size of the virtual warehouse used for a task?
- A. Querying (select) the size of the stream content would help determine the warehouse size. For example, if querying large stream content, use a larger warehouse size
- B. If using the stored procedure to execute multiple SQL statements, it's best to test run the stored procedure separately to size the compute resource first
- C. Root task may be executed concurrently (i.e. multiple instances), it is recommended to leave some margins in the execution window to avoid missing instances of execution
- D. Since task infrastructure is based on running the task body on schedule, it's recommended to configure the virtual warehouse for automatic concurrency handling using Multi-cluster warehouse (MCW) to match the task schedule
Answer: D
Explanation:
The size of the virtual warehouse for a task can be configured to handle concurrency automatically using a Multi-cluster warehouse (MCW). This is because tasks are designed to run their body on a schedule, and MCW allows for scaling compute resources to match the task's execution needs without manual intervention.References: [COF-C02] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 481
What are the benefits of using the Snowflake Access_History view? (Select TWO)
- A. It identifies data that is not being used so that it can be archived or deleted.
- B. It tracks how sensitive data has been moved.
- C. It audits whether query policies are being enforced correctly.
- D. It allows the user to compare query performance data over time.
- E. It allows users to track the relationships among objects.
Answer: A,B
NEW QUESTION # 482
Which data types optimally store semi-structured data? (Select TWO).
- A. VARCHAR
- B. CHARACTER
- C. VARIANT
- D. ARRAY
- E. STRING
Answer: C,D
Explanation:
In Snowflake, semi-structured data is optimally stored using specific data types that are designed to handle the flexibility and complexity of such data. The VARIANT data type can store structured and semi-structured data types, including JSON, Avro, ORC, Parquet, or XML, in a single column. The ARRAY data type, on the other hand, is suitable for storing ordered sequences of elements, which can be particularly useful for semi-structured data types like JSON arrays. These data types provide the necessary flexibility to store and query semi-structured data efficiently in Snowflake.
References:
Snowflake Documentation: Semi-structured Data Types
NEW QUESTION # 483
Which command can be used to load data into an internal stage?
- A. LOAD
- B. copy
- C. GET
- D. PUT
Answer: D
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-C02] SnowPro Core Certification Exam Study Guide
Snowflake Documentation on Data Loading
NEW QUESTION # 484
Which Snowflake table supports unstructured data?
- A. Permanent
- B. Directory
- C. Transient
- D. Temporary
Answer: A
Explanation:
While Snowflake primarily deals with structured and semi-structured data, it also has the capability to handle unstructured data. Unstructured data can be stored in Snowflake using variants of SQL data types in tables, which can be permanent tables. These permanent tables, while traditionally used for structured or semi- structured data (like JSON, Avro, or Parquet), can also accommodate unstructured data in the form of binary formats or strings, offering flexibility in data storage and analysis. However, the management and querying of unstructured data in Snowflake may require additional considerations compared to structured data.
References: Snowflake Documentation on Data Types
NEW QUESTION # 485
Which command is used to upload data files from a local directory or folder on a client machine to an internal stage, for a specified table?
- A. COPY INTO < location >
- B. CREATE STREAM
- C. GET
- D. PUT
Answer: D
Explanation:
To upload data files from a local directory or folder on a client machine to an internal stage in Snowflake, thePUTcommand is used. ThePUTcommand takes files from the local file system and uploads them to an internal Snowflake stage (or a specified stage) for the purpose of preparing the data to be loaded into Snowflake tables.
Syntax Example:
PUT file:// < local_file_path > @ < stage_name > ;
This command is crucial for data ingestion workflows in Snowflake, especially when preparing to load data using theCOPY INTOcommand.
Reference: Snowflake Documentation on Using the PUT Command: https://docs.snowflake.com/en/sql- reference/sql/put.html
NEW QUESTION # 486
Which multi-duster virtual warehouse setting will help process queued queries as quickly as possible?
- A. Auto-scale mode
- B. Maximized mode
- C. A standard scaling policy
- D. An economy scaling policy
Answer: A,B
NEW QUESTION # 487
A user needs to set up a virtual warehouse for the organization's BI team. The team has around 14 users running similar queries at the same time, and queries often get queued. Which virtual warehouse configuration should be assigned to the team to improve performance and concurrency?
- A. Medium multi-cluster warehouse
- B. Large single-cluster warehouse
- C. X-Small single-cluster warehouse
- D. Medium Snowpark-optimized warehouse
Answer: A
Explanation:
Queued queries from many concurrent BI users indicate a concurrency issue. A multi-cluster warehouse improves concurrency by adding clusters as query demand increases. Increasing warehouse size helps individual query speed, but adding clusters is better for concurrent query queuing.
Reference: Snowflake Documentation - Multi-cluster warehouses; Warehouse load and concurrency.
NEW QUESTION # 488
Which file function generates a SnowFlake-hosted URL that must be authenticated when used?
- A. BUILD_STAGE_FILE_URL
- B. BUILD_SCOPED_FILE_URL
- C. GET_PRESENT_URL
- D. GET_STATE_LOCATION
Answer: A
Explanation:
Purpose: The BUILD_STAGE_FILE_URL function generates a temporary, pre-signed URL that allows you to access a file within a Snowflake stage (internal or external). This URL requires authentication to use.
Key Points:
Security:The URL has a limited lifespan, enhancing security.
Use Cases:Sharing staged data with external tools or applications, or downloading it directly.
Snowflake Documentation (BUILD_STAGE_FILE_URL):https://docs.snowflake.com/en/sql-reference/functions/build_stage_file_url.html
NEW QUESTION # 489
What occurs when a pipe is recreated using the CREATE OR REPLACE PIPE command?
- A. The REFRESH command is executed.
- B. The destination table is truncated.
- C. The stage will be purged.
- D. The Pipe load history is reset to empty.
Answer: D
Explanation:
When a pipe is recreated using the CREATE OR REPLACE PIPE command, the load history of the pipe is reset.This means that Snowpipe will consider all files in the stage as new and will attempt to load them, even if they were loaded previously by the old pipe2.
NEW QUESTION # 490
What impact does dropping a column from a table have on the micro-partitions of that table?
- A. The current micro-partitions will not be available for Time Travel, and new micro-partitions will be created.
- B. The existing micro-partitions will not be affected.
- C. New micro-partitions will be created containing only the data for the remaining columns.
- D. The data associated with the dropped column will be removed from all existing micro-partitions.
Answer: B
NEW QUESTION # 491
Which Snowflake table type persists until it is explicitly dropped. is available for all users with relevant privileges (across sessions). and has no Fail-safe period?
- A. Permanent
- B. Temporary
- C. External
- D. Transient
Answer: D
Explanation:
The type of Snowflake table that persists until it is explicitly dropped, is available for all users with relevant privileges across sessions, and does not have a Fail-safe period, is a Transient table. Transient tables are designed to provide temporary storage similar to permanent tables but with some reduced storage costs and without the Fail-safe feature, which provides additional data protection for a period beyond the retention time.
Transient tables are useful in scenarios where data needs to be temporarily stored for longer than a session but does not require the robust durability guarantees of permanent tables.
NEW QUESTION # 492
What step can reduce data spilling in Snowflake?
- A. Using a common table expression (CTE) instead of a temporary table
- B. Using a larger virtual warehouse
- C. Increasing the virtual warehouse maximum timeout limit
- D. Increasing the amount of remote storage for the virtual warehouse
Answer: B
Explanation:
To reduce data spilling in Snowflake, using a larger virtual warehouse is effective because it provides more memory and local disk space, which can accommodate larger data operations and minimize the need to spill data to disk or remote storage1. References: [COF-C02] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 493
Where can a user find and review the failed logins of a specific user for the past 30 days?
- A. The ACCESS_HISTORY view in ACCOUNT_USAGE
- B. The SESSIONS view in ACCOUNT_USAGE
- C. The USERS view in ACCOUNT_USAGE
- D. The LOGIN_HISTORY view in ACCOUNT_USAGE
Answer: D
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-C03 ] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 494
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