Snowflake SnowPro Core SnowPro Core Dumps in PDF

Free Snowflake SnowPro Core Real Questions (page: 19)

What transformations are supported in a CREATE PIPE ... AS COPY `¦ FROM (`¦) statement? (Choose two.)

  1. Data can be filtered by an optional WHERE clause.
  2. Incoming data can be joined with other tables.
  3. Columns can be reordered.
  4. Columns can be omitted.
  5. Row level access can be defined.

Answer(s): C,D


Reference:

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



Which of the following are characteristics of Snowflake virtual warehouses? (Choose two.)

  1. Auto-resume applies only to the last warehouse that was started in a multi-cluster warehouse.
  2. The ability to auto-suspend a warehouse is only available in the Enterprise edition or above.
  3. SnowSQL supports both a configuration file and a command line option for specifying a default warehouse.
  4. A user cannot specify a default warehouse when using the ODBC driver.
  5. The default virtual warehouse size can be changed at any time.

Answer(s): C,E



Which command should be used to load data from a file, located in an external stage, into a table in Snowflake?

  1. INSERT
  2. PUT
  3. GET
  4. COPY

Answer(s): D


Reference:

https://docs.snowflake.com/en/sql-reference/sql/copy-into-table.html



The Snowflake Cloud Data Platform is described as having which of the following architectures?

  1. Shared-disk
  2. Shared-nothing
  3. Multi-cluster shared data
  4. Serverless query engine

Answer(s): C



Which of the following is a data tokenization integration partner?

  1. Protegrity
  2. Tableau
  3. DBeaver
  4. SAP

Answer(s): A



What versions of Snowflake should be used to manage compliance with Personal Identifiable Information (PII) requirements? (Choose two.)

  1. Custom Edition
  2. Virtual Private Snowflake
  3. Business Critical Edition
  4. Standard Edition
  5. Enterprise Edition

Answer(s): B,C



What are supported file formats for unloading data from Snowflake? (Choose three.)

  1. XML
  2. JSON
  3. Parquet
  4. ORC
  5. AVRO
  6. CSV

Answer(s): B,C,F


Reference:

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



The Snowflake cloud services layer is responsible for which tasks? (Choose two.)

  1. Local disk caching
  2. Authentication and access control
  3. Metadata management
  4. Query processing
  5. Database storage

Answer(s): B,C



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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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