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Snowflake SnowPro Core SnowPro Core Dumps in PDF

Free Snowflake SnowPro Core Real Questions (page: 13)

SnowPro Core PDF — 1300 Questions

What is the lowest Snowflake edition that offers Time Travel up to 90 days?

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

Answer(s): C


Reference:

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



Which of the following statements are true about Schemas in Snowflake? (Choose two.)

  1. A Schema may contain one or more Databases
  2. A Database may contain one or more Schemas
  3. A Schema is a logical grouping of Database Objects
  4. Each Schema is contained within a Warehouse

Answer(s): B,C


Reference:

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



True or False: You can resize a Virtual Warehouse while queries are running.

  1. True
  2. False

Answer(s): A


Reference:

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



What is the most granular object that the Time Travel retention period can be defined on?

  1. Account
  2. Database
  3. Schema
  4. Table

Answer(s): D



Which of the following statements is true of Snowflake micro-partitioning?

  1. Micro-partitioning has been known to introduce data skew
  2. Micro-partitioning: requires a partitioning schema to be defined up front
  3. Micro-partitioning is transparently completed using the ordering that occurs when the data is inserted/loaded
  4. Micro-partitioning can be disabled within a Snowflake account

Answer(s): C


Reference:

https://docs.snowflake.com/en/user-guide/tables-clustering-micropartitions.html



True or False: Snowflake bills for a minimum of five minutes each time a Virtual Warehouse is started.

  1. True
  2. False

Answer(s): B


Reference:

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



When scaling up Virtual Warehouses by increasing Virtual Warehouse t-shirt size, you are primarily scaling for improved:

  1. Concurrency
  2. Performance

Answer(s): B


Reference:

https://docs.snowflake.com/en/user-guide/warehouses-considerations.html#warehouse-resizing-improves-performance



As a best practice, clustering keys should only be defined on tables of which minimum size?

  1. Multi-Kilobyte (KB) Range
  2. Multi-Megabyte (MB) Range
  3. Multi-Gigabyte (GB) Range
  4. Multi-Terabyte (TB) Range

Answer(s): D


Reference:

https://docs.snowflake.com/en/user-guide/tables-clustering-keys.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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