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Snowflake SnowPro Core SnowPro Core Dumps in PDF

Free Snowflake SnowPro Core Real Questions (page: 26)

SnowPro Core PDF — 1300 Questions

What Snowflake features allow virtual warehouses to handle high concurrency workloads? (Choose two.)

  1. The ability to scale up warehouses
  2. The use of warehouse auto scaling
  3. The ability to resize warehouses
  4. Use of multi-clustered warehouses
  5. The use of warehouse indexing

Answer(s): B,D



Which COPY INTO command outputs the data into one file?

  1. SINGLE=TRUE
  2. MAX_FILE_NUMBER=1
  3. FILE_NUMBER=1
  4. MULTIPLE=FALSE

Answer(s): A



In which scenarios would a user have to pay Cloud Services costs? (Choose two.)

  1. Compute Credits = 50 Credits Cloud Services = 10
  2. Compute Credits = 80 Credits Cloud Services = 5
  3. Compute Credits = 100 Credits Cloud Services = 9
  4. Compute Credits = 120 Credits Cloud Services = 10
  5. Compute Credits = 200 Credits Cloud Services = 26

Answer(s): A,E



A user created a new worksheet within the Snowsight UI and wants to share this with teammates.
How can this worksheet be shared?

  1. Create a zero-copy clone of the worksheet and grant permissions to teammates.
  2. Create a private Data Exchange so that any teammate can use the worksheet.
  3. Share the worksheet with teammates within Snowsight.
  4. Create a database and grant all permissions to teammates.

Answer(s): C



How can a row access policy be applied to a table or a view? (Choose two.)

  1. Within the policy DDL
  2. Within the create table or create view DDL
  3. By future APPLY for all objects in a schema
  4. Within a control table
  5. Using the command ALTER

Answer(s): B,E



Which command can be used to load data files into a Snowflake stage?

  1. JOIN
  2. COPY INTO
  3. PUT
  4. GET

Answer(s): C



What types of data listings are available in the Snowflake Data Marketplace? (Choose two.)

  1. Reader
  2. Consumer
  3. Vendor
  4. Standard
  5. Personalized

Answer(s): D,E



What is the maximum Time Travel retention period for a temporary Snowflake table?

  1. 90 days
  2. 1 day
  3. 7 days
  4. 45 days

Answer(s): B



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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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