Free Snowflake SnowPro-Core Exam Actual Questions

The questions for SnowPro-Core were last updated On Dec 18, 2025

At ValidExamDumps, we consistently monitor updates to the Snowflake SnowPro-Core exam questions by Snowflake. Whenever our team identifies changes in the exam questions,exam objectives, exam focus areas or in exam requirements, We immediately update our exam questions for both PDF and online practice exams. This commitment ensures our customers always have access to the most current and accurate questions. By preparing with these actual questions, our customers can successfully pass the Snowflake SnowPro Core Exam exam on their first attempt without needing additional materials or study guides.

Other certification materials providers often include outdated or removed questions by Snowflake in their Snowflake SnowPro-Core exam. These outdated questions lead to customers failing their Snowflake SnowPro Core Exam exam. In contrast, we ensure our questions bank includes only precise and up-to-date questions, guaranteeing their presence in your actual exam. Our main priority is your success in the Snowflake SnowPro-Core exam, not profiting from selling obsolete exam questions in PDF or Online Practice Test.

 

Question No. 1

What is the default value in the Snowflake Web Interface (Ul) for auto suspending a Virtual Warehouse?

Show Answer Hide Answer
Correct Answer: C

The default value for auto-suspending a Virtual Warehouse in the Snowflake Web Interface (UI) is 10 minutes. This setting helps manage compute costs by automatically suspending warehouses that are not in use, ensuring that compute resources are efficiently allocated and not wasted on idle warehouses.


Snowflake Documentation: Virtual Warehouses

Question No. 2

A user has semi-structured data to load into Snowflake but is not sure what types of operations will need to be performed on the dat

a. Based on this situation, what type of column does Snowflake recommend be used?

Show Answer Hide Answer
Correct Answer: D

When dealing with semi-structured data in Snowflake, and the specific types of operations to be performed on the data are not yet determined, Snowflake recommends using the VARIANT data type. The VARIANT type is highly flexible and capable of storing data in multiple formats, including JSON, AVRO, BSON, and more, within a single column. This flexibility allows users to perform various operations on the data, including querying and manipulation of nested data structures without predefined schemas.


Snowflake Documentation: Semi-structured Data Types

Question No. 3

While running a query on a virtual warehouse in auto-scale mode, additional clusters are stated immediately if which setting is configured?

A)

B)

C)

D)

Show Answer Hide Answer
Correct Answer: A

In Snowflake, auto-scaling allows virtual warehouses to automatically start additional clusters to handle increasing query loads. The setting that triggers the immediate start of additional clusters when a warehouse is running in auto-scale mode is: A. MAX_CLUSTER_COUNT is increased and new_max_clusters is greater than running_clusters: When the maximum number of clusters (MAX_CLUSTER_COUNT) is increased and the new maximum is higher than the number of clusters currently running (running_clusters), additional clusters will start immediately if required by the workload. This configuration ensures that performance scales with demand by allowing more compute resources to be provisioned as needed.

This behavior is designed to maintain performance by dynamically adjusting the compute resources without manual intervention, ensuring that queries are executed with minimal delay, even under varying workloads. It aligns with the principles of elasticity and scalability in cloud computing, particularly within Snowflake's architecture.


Question No. 4

Which views are included in the data_sharing_usage schema? (Select TWO).

Show Answer Hide Answer
Question No. 5

What is the following SQL command used for?

Select * from table(validate(t1, job_id => '_last'));

Show Answer Hide Answer