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Snowflake SOL-C01 Exam Syllabus Topics:
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Snowflake Certified SnowPro Associate - Platform Certification Sample Questions (Q20-Q25):
NEW QUESTION # 20
A financial institution needs to maintain a record of all changes made to its customer data for regulatory compliance. They are using Snowflake and want to leverage Time Travel and Fail-safe for data protection. Which of the following strategies would BEST satisfy this requirement, considering both recoverability and compliance?
- A. Set appropriately (e.g. 90 days) and regularly back up data to external storage and create granular access roles.
- B. Rely solely on Fail-safe for long-term data retention and recovery.
- C. Set to the maximum value for the account. Do nothing else as this will satisfy the audit requirement, because snowflake automatically handles data recovery with continuous backups.
- D. Set to the maximum allowed value (90 days for Business Critical or as configured) and regularly clone the database to a separate, secure location for long-term archival.
- E. Leverage Time Travel within its configured retention period for recovering from user errors or data corruption and understand that Fail-safe is for Snowflake's disaster recovery, not for direct customer use or data retention.
Answer: D,E
Explanation:
Option B provides a comprehensive solution by using Time Travel for the short term within a retention period. After the retention period expires, Fail-safe kicks in (handled by Snowflake). Fail- safe is not directly accessible to the user. A clone is created regularly for archival, providing a long-term record for compliance. Option E accurately describes Fail-safe as a disaster recovery measure rather than a tool for direct data recovery by the customer.
NEW QUESTION # 21
You are responsible for managing a Snowflake environment where data loading and transformation are performed. You need to monitor the resource consumption of various tasks and identify potential bottlenecks. Which of the following INFORMATION SCHEMA views or functions would be MOST helpful for identifying the warehouse consumption and execution time of individual tasks?
- A. ACCOUNT USAGE.TASK HISTORY
- B. DATABASE STORAGE USAGE HISTORY
- C. INFORMATION SCHEMA.TABLES
- D. ACCOUNT_USAGE.QUERY HISTORY and join it with ACCOUNT_USAGE.WAREHOUSE EVENTS
- E. ACCOUNT USAGE.WAREHOUSE LOAD HISTORY
Answer: A
Explanation:
The HISTORY view provides detailed information about the execution of tasks, including their start and end times, warehouse used, and status. This allows you to directly analyze the resource consumption of individual tasks. HISTORY is useful for understanding the overall warehouse utilization, but not necessarily specific to tasks. Combining 'QUERY_HISTORY' and
'WAREHOUSE_EVENTS provides broader query level warehouse usage but is more complex than simply using TASK_HISTORY. is about storage not compute, and TABLES just provides table metadata.
NEW QUESTION # 22
Which SQL command is used to view the definition of a Table?
- A. SELECT GET_DDL('TABLE','<table_name>');
- B. SHOW TABLE
- C. SELECT * FROM INFORMATION_SCHEMA.ABLES
- D. DESCRIBE TABLE
Answer: A
Explanation:
TheGET_DDLfunction retrieves the Data Definition Language (DDL) script that was used to create a given object. Executing:
SELECT GET_DDL('TABLE', 'MY_TABLE');
returns the full DDL including column definitions, comments, clustering keys, constraints, masking policies, and other metadata. This makes it essential for schema migration, replication, compliance audits, and environment synchronization.
DESCRIBE TABLEshows only column-level metadata-names, types, nullability-but does not return the full DDL.
SHOW TABLEis not a valid Snowflake command; tables are listed using SHOW TABLES.
INFORMATION_SCHEMA.TABLES lists table metadata, but the provided option "ABLES" is invalid and still would not provide DDL even if corrected.
Thus,GET_DDL()is the only method that returns the complete table definition directly.
NEW QUESTION # 23
What Snowflake parameter is configured in the Query Processing layer?
- A. The minimum and maximum micro-partition limits
- B. The sizing of virtual warehouses
- C. The minimum and maximum serverless compute limits
- D. The types of tables available in an account
Answer: B
Explanation:
The Query Processing layer of Snowflake is wherevirtual warehouses operate, so warehouse sizing parameters (X-Small to 6X-Large) fall under this layer. Warehouse size determines compute power, concurrency, and performance behavior for SQL workloads. Administrators configure warehouse size based on workload intensity, response time requirements, and cost considerations.
Serverless compute limits and micro-partition limits belong to storage and services layers. Table types (permanent, transient, temporary) are storage-level configurations, not part of Query Processing.
Thus, warehouse sizing is the correct parameter configured at the Query Processing layer.
NEW QUESTION # 24
Which of the following Snowflake functions is used to generate pre-signed URLs for accessing files in a stage?
- A. GET_RELATIVE_PATH()
- B. GET_PRESIGNED_URL()
- C. BUILD_STAGE_FILE_URL()
- D. GET_STAGE_LOCATION()
Answer: B
Explanation:
GET_PRESIGNED_URL() is the official Snowflake function used to create atemporary, secure, time-limited pre-signed URL, which provides controlled-access retrieval of a file stored in a Snowflake internal or external stage. Pre-signed URLs are essential for secure file sharing without exposing credentials or granting direct stage access to external users. The function accepts the stage name and file path and optionally allows specifying an expiration period. GET_STAGE_LOCATION() retrieves metadata about where a stage points, not access URLs. BUILD_STAGE_FILE_URL() constructs a basic URL but does not sign it, meaning it cannot authorize secure download access. GET_RELATIVE_PATH() provides path-only details, not a secure download link. GET_PRESIGNED_URL ensures that external consumers can access staged files safely, making it an important feature for secure distribution workflows, data export pipelines, partner integrations, and temporary file sharing scenarios.
NEW QUESTION # 25
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