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Snowflake SnowPro Core SnowPro Core Dumps in PDF

Free Snowflake SnowPro Core Real Questions (page: 9)

SnowPro Core PDF — 1300 Questions

Fail-safe is unavailable on which table types? (Choose two.)

  1. Temporary
  2. Transient
  3. Provisional
  4. Permanent

Answer(s): A,B


Reference:

https://docs.snowflake.com/en/user-guide/tables-temp-transient.html



Which of the following objects is not covered by Time Travel?

  1. Tables
  2. Schemas
  3. Databases
  4. Stages

Answer(s): D


Reference:

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



True or False: Micro-partition metadata enables some operations to be completed without requiring Compute.

  1. True
  2. False

Answer(s): A


Reference:

https://blog.ippon.tech/innovative-snowflake-features-caching/



Which of the following commands are not blocking operations? (Choose two.)

  1. UPDATE
  2. INSERT
  3. MERGE
  4. COPY

Answer(s): B,D



Which of the following is true of Snowpipe via REST API? (Choose two.)

  1. You can only use it on Internal Stages
  2. All COPY INTO options are available during pipe creation
  3. Snowflake automatically manages the compute required to execute the Pipe's COPY INTO commands
  4. Snowpipe keeps track of which files it has loaded

Answer(s): C,D



Snowflake recommends, as a minimum, that all users with the following role(s) should be enrolled in Multi-Factor Authentication (MFA):

  1. SECURITYADMIN, ACCOUNTADMIN, PUBLIC, SYSADMIN
  2. SECURITYADMIN, ACCOUNTADMIN, SYSADMIN
  3. SECURITYADMIN, ACCOUNTADMIN
  4. ACCOUNTADMIN

Answer(s): D


Reference:

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



When can a Virtual Warehouse start running queries?

  1. 12am-5am
  2. Only during administrator defined time slots
  3. When its provisioning is complete
  4. After replication

Answer(s): C



True or False: Users are able to see the result sets of queries executed by other users that share their same role.

  1. True
  2. False

Answer(s): B


Reference:

https://docs.snowflake.com/en/user-guide/security-access-control-considerations.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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