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Snowflake SnowPro Core SnowPro Core Dumps in PDF

Free Snowflake SnowPro Core Real Questions (page: 4)

SnowPro Core PDF — 1300 Questions

True or False: Snowflake's data warehouse was built from the ground up for the cloud in lieu of using an existing database or a platform, like Hadoop, as a base.

  1. True
  2. False

Answer(s): A



Which of the following statements are true of Virtual Warehouses? (Choose all that apply.)

  1. Customers can change the size of the Warehouse after creation
  2. A Warehouse can be resized while running
  3. A Warehouse can be configured to suspend after a period of inactivity
  4. A Warehouse can be configured to auto-resume when new queries are submitted

Answer(s): A,B



The PUT command: (Choose two.)

  1. Automatically creates a File Format object
  2. Automatically uses the last Stage created
  3. Automatically compresses files using Gzip
  4. Automatically encrypts files

Answer(s): C,D


Reference:

https://docs.snowflake.com/en/sql-reference/sql/put.html



Which type of table corresponds to a single Snowflake session?

  1. Temporary
  2. Transient
  3. Provisional
  4. Permanent

Answer(s): A



Which interfaces can be used to create and/or manage Virtual Warehouses?

  1. The Snowflake Web Interface (UI)
  2. SQL commands
  3. Data integration tools
  4. All of the above

Answer(s): D



When a Pipe is recreated using the CREATE OR REPLACE PIPE command:

  1. The Pipe load history is reset to empty
  2. The REFRESH parameter is set to TRUE
  3. Previously loaded files will be ignored
  4. All of the above

Answer(s): A



What is the minimum Snowflake edition that customers planning on storing protected information in Snowflake should consider for regulatory compliance?

  1. Standard
  2. Premier
  3. Enterprise
  4. Business Critical Edition

Answer(s): D


Reference:

https://docs.snowflake.com/en/user-guide/intro-editions.html



Select the three types of tables that exist within Snowflake. (Choose three.)

  1. Temporary
  2. Transient
  3. Provisional
  4. Permanent

Answer(s): A,B,D


Reference:

https://community.snowflake.com/s/article/Making-Transient-table-by-Default



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A
AI Tutor Explanation
9/24/2026 11:16:10 AM

Question 5:
Correct answer: A — True
Snowflake supports bulk unloading with COPY INTO <location> using a SELECT statement as the source. This allows you to export either:

  • All or selected columns from a table
  • Filtered rows using WHERE
  • Transformed or joined data

Example: 
sql 
COPY INTO @my_stage/export/ 
FROM ( 
  SELECT customer_id, order_date 
  FROM orders 
  WHERE order_date >= '2025-01-01' 
);
Snowflake writes the query results to files in the specified internal or external stage. The key distinction is that COPY INTO is used for bulk movement of data, while a regular SELECT only returns query results and does not unload them to staged files.

Pune, India
A
AI Tutor Explanation
9/3/2026 5:25:59 AM

Question 1:
Correct answer: B — Clustering keys
Snowflake automatically organizes table data into micro-partitions and uses natural clustering based on how data is loaded. However, for large tables where query performance depends on particular columns, you can define a clustering key.
A clustering key:

  • Specifies one or more columns or expressions Snowflake should use when organizing table data.
  • Helps Snowflake’s automatic reclustering keep related rows grouped together.
  • Can improve pruning for queries that frequently filter or join on those columns.

Why the others are incorrect:
  • Micro-partitions: Snowflake’s storage units; users do not directly define them as an override mechanism.
  • Key partitions: Not a Snowflake feature.
  • Clustered partitions: Not the name of the customer-defined mechanism.

The answer key’s B is correct.

Johannesburg, South Africa
A
AI Tutor Explanation
8/28/2026 11:39:56 AM

Question 17:
Correct answer: D — To accommodate a more complex workload.
Increasing a Virtual Warehouse from X-Small to Medium is vertical scaling. The larger warehouse provides more compute resources, which can improve performance for:

  • Complex queries
  • Large scans or joins
  • Resource-intensive transformations
  • Queries involving substantial processing

Why the others are less appropriate:
  • More users / more queries: This usually calls for multi-cluster warehouses, which add clusters to handle concurrency.
  • Fluctuations in workload: This is typically addressed with auto-suspend/auto-resume or multi-cluster scaling, rather than simply choosing a larger warehouse.

Thus, warehouse size primarily affects the compute power available to individual workloads.

Chennai, India
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