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[General] 100% Pass 2026 SOL-C01: Snowflake Certified SnowPro Associate - Platform Certifi

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【General】 100% Pass 2026 SOL-C01: Snowflake Certified SnowPro Associate - Platform Certifi

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Snowflake SOL-C01 Exam Syllabus Topics:
TopicDetails
Topic 1
  • Identity and Data Access Management: This domain focuses on Role-Based Access Control (RBAC) including role hierarchies and privileges, along with basic database administration tasks like creating objects, transferring ownership, and executing fundamental SQL commands.
Topic 2
  • Data Loading and Virtual Warehouses: This domain covers loading structured, semi-structured, and unstructured data using stages and various methods, virtual warehouse configurations and scaling strategies, and Snowflake Cortex LLM functions for AI-powered operations.
Topic 3
  • Data Protection and Data Sharing: This domain addresses continuous data protection through Time Travel and cloning, plus data collaboration capabilities via Snowflake Marketplace and private Data Exchange sharing.
Topic 4
  • Interacting with Snowflake and the Architecture: This domain covers Snowflake's elastic architecture, key user interfaces like Snowsight and Notebooks, and the object hierarchy including databases, schemas, tables, and views with practical navigation and code execution skills.

Snowflake Certified SnowPro Associate - Platform Certification Sample Questions (Q130-Q135):NEW QUESTION # 130
Which of the following are valid Snowflake Virtual Warehouse sizes? (Choose any 3 options)
  • A. Xsmall
  • B. Medium
  • C. Small
  • D. Tiny
Answer: A,B,C
Explanation:
Snowflake warehouse sizes followT-shirt sizing, each representing a doubling of compute resources relative to the previous size. Valid Snowflake warehouse sizes includeX-Small,Small,Medium,Large, and up to6X- Large.
X-Smallis the smallest supported warehouse size and is commonly used for light data processing, development tasks, and low-volume operations.
Smalldoubles the compute capacity of X-Small, providing better performance for moderate workloads.
Mediumcontinues scaling upward, offering increased CPU, memory, and parallelism for heavier analytics or transformation workloads.
Tinyis not a Snowflake warehouse size. Snowflake never exposes a warehouse smaller than X-Small, ensuring consistent minimum compute capabilities.
These standardized size tiers allow predictable resource scaling and cost forecasting.

NEW QUESTION # 131
A Snowflake account has the 'DATA RETENTION TIME IN DAYS' parameter set to the maximum allowed value for Enterprise Edition. A user executes a large DELETE statement against a table, removing 90% of its rows. After 60 days, they realize they need to recover the deleted data.
Which of the following statements is CORRECT regarding the feasibility of recovering the data using Time Travel?
  • A. The data can be recovered using Time Travel because the 'DATA RETENTION TIME IN DAYS' parameter is set to the maximum value.
  • B. The data can be recovered, but only if the parameter was explicitly set to extend the retention period beyond the default.
  • C. The data cannot be recovered because the default retention period is only 1 day. The maximum retention of 90 days is only for Enterprise edition and higher, but only when extended with Snowflake support.
  • D. The data can be recovered, assuming the parameter was explicitly set to a value greater than or equal to 60 days for the table, database, or account.
Answer: D
Explanation:
The 'DATA RETENTION TIME IN DAYS parameter needs to be explicitly set at the account, database, or table level for the desired retention period to be effective. If the parameter isn't set, the default retention period is used. Setting it to the maximum value without applying it to the relevant scope has no effect. It's important to note that Business Critical Edition can have up to
90 days of retention.

NEW QUESTION # 132
You are loading data from a CSV file stored in an Amazon S3 bucket into a Snowflake table named `CUSTOMER DATA. The CSV file contains a header row, and the data is comma- separated. The 'CUSTOMER DATA table has columns `customer_id', 'first_name', and 'email'.
You want to use a named file format object called `CSV FORMAT which you have already created. You also want to skip the header row and only load data where the column is not null.
Which of the following `COPY INTO' statement achieves this most efficiently and correctly?
  • A.
  • B.
  • C.
  • D.
  • E.
Answer: E
Explanation:
Option D is the most correct because it efficiently copies the data from the stage, using a named file format, skips the header and sets error handling. The WHERE clause to filter null emails cannot be directly used within COPY INTO. Options A, B and C, is incorrect, as 'WHERE clause and 'SKIP_HEADER = 1' is not applicable as the way written in the option. E is incorrect as its using select statement and it cannot be used in 'COPY INTO'

NEW QUESTION # 133
You are responsible for managing a Snowflake environment where data is loaded from various external sources. You want to use Snowsight to quickly identify all tables within a specific database and schema that have not been loaded in the last 7 days. Which of the following methods, or combination of methods, provides the most efficient and accurate way to achieve this using Snowsight features?
  • A. Use the Snowsight Data > Databases navigation to select the database and schema. Filter the table list by 'Last Modified' date using the built-in filter options. If filter is not avaialbe manually inspect each table by scrolling table by table.
  • B. Use the Snowsight Data > Databases navigation to select the database and schema. Then, use the Snowsight SQL Worksheet to create a custom dashboard displaying a table with columns for
    'table_name' and 'last_altered' by querying the Information Schema 'TABLES' view and filter by the last_altered within the last 7 days.
  • C. Use the Snowsight Search functionality to search for tables within the database and schema.
    Then, manually inspect each table's 'Last Modified' timestamp in the table details panel.
  • D. Execute a 'SHOW TABLES' command in the Snowsight SQL Worksheet and manually inspect the
    'last_altered' column in the results.
  • E. Query the Snowflake Information Schema using the Snowsight SQL Worksheet to retrieve the
    'TABLES' view and filter by 'last_altered' column. Then navigate to the table in Snowsight to verify.

Answer: B,E
Explanation:
Options B and E offer the most efficient and accurate solutions. Option B utilizes the Information Schema, a built-in Snowflake resource, and a SQL query within Snowsight to directly retrieve the required information. Filtering by the 'last_altered' column provides a precise list of tables not loaded in the last 7 days. Option E is the correct and more convenient. Creating a custom dashboard using the Information Schema within Snowsight is the most convenient way of monitoring data. Option A requires manual inspection, which is inefficient. Option C doesn't provide precise filtering. Option D will retrieve the 'last_altered' value but then manual filtering required.

NEW QUESTION # 134
A user is trying to transfer ownership of a view from role `role_a' to The user executes the following command: ALTER VIEW employee_view TRANSFER OWNERSHIP TO ROLE role_b; The command fails with an error indicating insufficient privileges. Which of the following could be the reason(s) for the failure? (Select all that apply)
  • A. The user does not have the MANAGE GRANTS privilege on the schema containing the
    `employee_view' .
  • B. The role `role b' does not exist.
  • C. The role `role_b' already owns the `employee_view' .
  • D. The user does not have the OWNERSHIP privilege on the `employee_view' .
  • E. The user does not have the USAGE privilege on the database containing the `employee_view'.
Answer: A,D
Explanation:
To transfer ownership, the user executing the command must have the OWNERSHIP privilege on the object and the MANAGE GRANTS privilege on the schema containing the object. If does not exist, or already owns the object, a different error would be raised. While USAGE on the database might be required for other operations, it is not a direct requirement for transferring ownership if the user has OWNERSHIP and MANAGE GRANTS.

NEW QUESTION # 135
......
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