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Snowflake Certified SnowPro Associate - Platform Certification Sample Questions (Q13-Q18):
NEW QUESTION # 13
A junior data analyst accidentally deleted a critical table using Snowsight. After restoring the table from Time Travel, they want to prevent this from happening again. What is the MOST appropriate preventative measure they should take using Snowsight, considering they still need access to query other tables?
- A. Revoke the DELETE privilege on all tables for the analyst.
- B. Grant the analyst the MONITOR privilege on the database.
- C. Configure multi-factor authentication for the analyst's Snowflake account.
- D. Revoke the DELETE privilege ONLY on the specific critical table.
- E. Revoke the ACCOUNTADMIN role from the analyst.
Answer: D
Explanation:
Revoking the DELETE privilege ONLY on the specific critical table prevents accidental deletion of that table while still allowing the analyst to delete data from other tables where they have the appropriate permissions. Revoking DELETE on all tables or removing ACCOUNTADMIN is too restrictive, as the analyst needs to query and potentially modify other tables. Multi-factor authentication enhances security but doesn't directly prevent accidental deletions. MONITOR privilege is for observing, not preventing actions.
NEW QUESTION # 14
What task can be performed on the Snowsight Schema Details page?
- A. Share a schema with a different account.
- B. Edit the schema metrics.
- C. Change the schema name.
- D. Truncate the schema data.
Answer: C
Explanation:
On the Snowsight Schema Details page, one of the supported operations is renaming the schema. The UI exposes controls that allow users with appropriate privileges to change the schema name, which can help maintain consistent naming conventions or reflect project reorganizations.
Sharing data with other accounts is typically done using secure shares at the database or object level, not from a simple "Share this schema" function on the Schema Details page. Truncation is a table-level operation (e.g., TRUNCATE TABLE), not something that applies at the schema level. Metrics visible on the Schema Details page (such as object counts or storage usage) are informational and not directly editable; they are derived from system metadata.
NEW QUESTION # 15
Which of the following is true about Snowflake clones?
- A. Clones initially consume minimal/no storage, with storage only being used for changes made to the clone or the original.
- B. Clones can only be created from databases, not tables or schemas.
- C. Clones consume the same storage as the original object.
- D. Clones are automatically synchronized with the original object.
Answer: A
Explanation:
Snowflake cloning is a metadata-only operation at creation. Both the clone and source share micro-partitions until changes occur (copy-on-write).
They are independent and do not auto-sync.
They can be made at the database, schema, or table level.
NEW QUESTION # 16
You are using Snowsight to monitor the performance of several queries. You notice a query that took significantly longer than expected.
Which of the following actions, available directly within the Snowsight Query History Details panel, would BEST help you diagnose the cause of the slow performance?
- A. Download the query results to your local machine for further analysis.
- B. Review the 'Query Profile' to identify specific execution stages that consumed the most resources.
- C. Analyze the 'Compilation Time' to determine if query compilation contributed significantly to the overall execution time.
- D. Check the 'Warehouse Load' graph to see if the warehouse was under heavy load during the query execution.
- E. Examine the SQL text of the query and identify potential areas for optimization based on syntax.
Answer: B,C,D
Explanation:
The Query Profile provides a detailed breakdown of the query execution, allowing you to pinpoint specific stages that are slow. Checking the Warehouse Load helps determine if resource contention was a factor. Analyzing the Compilation Time reveals if the query spent a significant amount of time compiling before execution. Examining the SQL text directly (option A) can be helpful, but the Query Profile provides more granular performance data within Snowsight.
Downloading results (option E) does not directly aid in diagnosing performance issues within Snowflake.
NEW QUESTION # 17
What are the benefits of using the Snowsight data loading interface? (Select TWO).
- A. It will try to detect data types.
- B. It lets a user merge file rows into the table records.
- C. It allows a user to insert the records of a supported file into a table.
- D. It creates permanent file formats that can be used to load data in the future.
- E. It allows a user to optimize data loading into a table.
Answer: A,C
Explanation:
Snowsight's file-loading interface:
*Automatically detects data typesby inspecting column values.
*Loads (inserts) file contents directly into a table, either a new table or an existing one.
Snowsight does not automatically create permanent file formats, does not merge rows, and does not optimize warehouse-level performance.
NEW QUESTION # 18
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