Snowflake SnowPro Core SnowPro Core Dumps in PDF

Free Snowflake SnowPro Core Real Questions (page: 14)

How a Snowpipe charges calculated?

  1. Per-second/per Warehouse size
  2. Per-second/per-core granularity
  3. Number of Pipes in account
  4. Total storage bucket size

Answer(s): B


Reference:

https://docs.snowflake.com/en/user-guide/data-load-snowpipe-billing.html



True or False: A Snowflake account is charged for data stored in both Internal and External Stages.

  1. True
  2. False

Answer(s): B



True or False: When active, a Pipe requires a dedicated Virtual Warehouse to execute.

  1. True
  2. False

Answer(s): B



True or False: Snowflake supports federated authentication in all editions.

  1. True
  2. False

Answer(s): A


Reference:

https://community.snowflake.com/s/news/federated-authentication-sso-now-available-in-all-snowflake-editions-MC6N3I63LJGNGMHCTKGKFDH4NH2Q



True or False: When a new Snowflake object is created, it is automatically owned by the user who created it.

  1. True
  2. False

Answer(s): B



True or False: A Virtual Warehouse consumes Snowflake credits even when inactive.

  1. True
  2. False

Answer(s): B


Reference:

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



True or False: During data unloading, only JSON and CSV files can be compressed.

  1. True
  2. False

Answer(s): B


Reference:

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



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

  1. Auto-suspend
  2. Auto-resume
  3. Local SSD size
  4. User count

Answer(s): A,B


Reference:

https://www.analytics.today/blog/what-is-a-snowflake-virtual-warehouse



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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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