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Snowflake SnowPro Core SnowPro Core Dumps in PDF

Free Snowflake SnowPro Core Real Questions (page: 7)

SnowPro Core PDF — 1300 Questions

Which of the following are common use cases for zero-copy cloning? (Choose three.)

  1. Quick provisioning of Dev and Test/QA environments
  2. Data backups
  3. Point in time snapshots
  4. Performance optimization

Answer(s): A,B,C


Reference:

https://community.snowflake.com/s/question/0D50Z00009C3VlMSAV/zero-copy-cloning



If a Small Warehouse is made up of 2 servers/cluster, how many servers/cluster make up a Medium Warehouse?

  1. 4
  2. 16
  3. 32
  4. 128

Answer(s): A


Reference:

https://docs.snowflake.com/en/user-guide/warehouses-overview.html



True or False: When a data share is established between a Data Provider and a Data Consumer, the Data Consumer can extend that data share to other Data Consumers.

  1. True
  2. False

Answer(s): B


Reference:

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



Which is true of Snowflake network policies? A Snowflake network policy: (Choose two.)

  1. Is available to all Snowflake Editions
  2. Is only available to customers with Business Critical Edition
  3. Restricts or enables access to specific IP addresses
  4. Is activated using an “ALTER DATABASE” command

Answer(s): A,C


Reference:

https://docs.snowflake.com/en/sql-reference/sql/create-network-policy.html



True or False: Snowflake charges additional fees to Data Providers for each Share they create.

  1. True
  2. False

Answer(s): B



Query results are stored in the Result Cache for how long after they are last accessed, assuming no data changes have occurred?

  1. 1 Hour
  2. 3 Hours
  3. 12 hours
  4. 24 hours

Answer(s): D


Reference:

https://community.snowflake.com/s/article/Caching-in-Snowflake-Data-Warehouse



A role is created and owns 2 tables. This role is then dropped. Who will now own the two tables?

  1. The tables are now orphaned
  2. The user that deleted the role
  3. SYSADMIN
  4. The assumed role that dropped the role

Answer(s): D


Reference:

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



Which of the following connectors are available in the Downloads section of the Snowflake Web Interface (UI)? (Choose two.)

  1. SnowSQL
  2. ODBC
  3. R
  4. HIVE

Answer(s): A,B


Reference:

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



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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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