Snowflake SnowPro Core SnowPro Core Dumps in PDF

Free Snowflake SnowPro Core Real Questions (page: 8)

Which of the following DML commands isn't supported by Snowflake?

  1. UPSERT
  2. MERGE
  3. UPDATE
  4. TRUNCATE TABLE

Answer(s): A


Reference:

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



Which of the following statements is true of zero-copy cloning?

  1. Zero-copy clones increase storage costs as cloning the table requires storing its data twice
  2. All zero-copy clone objects inherit the privileges of their original objects
  3. Zero-copy cloning is licensed as an additional Snowflake feature
  4. At the instance/instant a clone is created, all micro-partitions in the original table and the clone are fully shared

Answer(s): D


Reference:

https://community.snowflake.com/s/question/0D50Z00009D8VOd/zero-copy-cloning-base-data



True or False: When a user creates a role, they are initially assigned ownership of the role and they maintain ownership until it is transferred to another user.

  1. True
  2. False

Answer(s): B



The Query History in the Snowflake Web Interface (UI) is kept for approximately:

  1. 60 minutes
  2. 24 hours
  3. 14 days
  4. 30 days
  5. 1 year

Answer(s): C



To run a Multi-Cluster Warehouse in auto-scale mode, a user would:

  1. Configure the Maximum Clusters setting to “Auto-Scale”
  2. Set the Warehouse type to “Auto”
  3. Set the Minimum Clusters and Maximum Clusters settings to the same value
  4. Set the Minimum Clusters and Maximum Clusters settings to the different values

Answer(s): D


Reference:

https://help.pentaho.com/Documentation/9.1/Products/Modify_Snowflake_warehouse



Which of the following terms best describes Snowflake's database architecture?

  1. Columnar shared nothing
  2. Shared disk
  3. Multi-cluster, shared data
  4. Cloud-native shared memory

Answer(s): C



Which of the following are options when creating a Virtual Warehouse? (Choose two.)

  1. Auto-drop
  2. Auto-resize
  3. Auto-resume
  4. Auto-suspend

Answer(s): C,D


Reference:

https://help.pentaho.com/Documentation/9.1/Products/Create_Snowflake_warehouse



A Virtual Warehouse's auto-suspend and auto-resume settings apply to:

  1. The primary cluster in the Virtual Warehouse
  2. The entire Virtual Warehouse
  3. The database the Virtual Warehouse resides in
  4. The queries currently being run by the Virtual Warehouse

Answer(s): B


Reference:

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

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.

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.

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