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Snowflake SnowPro Core SnowPro Core Dumps in PDF

Free Snowflake SnowPro Core Real Questions (page: 20)

SnowPro Core PDF — 1300 Questions

What is a key feature of Snowflake architecture?

  1. Zero-copy cloning creates a mirror copy of a database that updates with the original.
  2. Software updates are automatically applied on a quarterly basis.
  3. Snowflake eliminates resource contention with its virtual warehouse implementation.
  4. Multi-cluster warehouses allow users to run a query that spans across multiple clusters.
  5. Snowflake automatically sorts DATE columns during ingest, for fast retrieval by date.

Answer(s): C



When publishing a Snowflake Data Marketplace listing into a remote region what should be taken into consideration? (Choose two.)

  1. There is no need to have a Snowflake account in the target region, a share will be created for each user.
  2. The listing is replicated into all selected regions automatically, the data is not.
  3. The user must have the ORGADMIN role available in at least one account to link accounts for replication.
  4. Shares attached to listings in remote regions can be viewed from any account in an organization.
  5. For a standard listing the user can wait until the first customer requests the data before replicating it to the target region.

Answer(s): B,E



When loading data into Snowflake via Snowpipe what is the compressed file size recommendation?

  1. 10-50 MB
  2. 100-250 MB
  3. 300-500 MB
  4. 1000-1500 MB

Answer(s): B



Which Snowflake feature allows a user to substitute a randomly generated identifier for sensitive data, in order to prevent unauthorized users access to the data, before loading it into Snowflake?

  1. External Tokenization
  2. External Tables
  3. Materialized Views
  4. User-Defined Table Functions (UDTF)

Answer(s): A



Which of the following are examples of operations that require a Virtual Warehouse to complete, assuming no queries have been executed previously? (Choose three.)

  1. MIN(<< column value >>)
  2. COPY
  3. SUM(<< column value >>)
  4. UPDATE

Answer(s): B,C,D



What is the SNOWFLAKE.ACCOUNT_USAGE view that contains information about which objects were read by queries within the last 365 days (1 year)?

  1. VIEWS_HISTORY
  2. OBJECT_HISTORY
  3. ACCESS_HISTORY
  4. LOGIN_HISTORY

Answer(s): C



Which feature is only available in the Enterprise or higher editions of Snowflake?

  1. Column-level security
  2. SOC 2 type II certification
  3. Multi-factor Authentication (MFA)
  4. Object-level access control

Answer(s): A


Reference:

https://docs.snowflake.com/en/user-guide/intro-editions.html#enterprise-edition



Will data cached in a warehouse be lost when the warehouse is resized?

  1. Possibly, if the warehouse is resized to a smaller size and the cache no longer fits.
  2. Yes, because the compute resource is replaced in its entirety with a new compute resource.
  3. No, because the size of the cache is independent from the warehouse size.
  4. Yes, because the new compute resource will no longer have access to the cache encryption key.

Answer(s): D



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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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