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2025 Snowflake Trustable SOL-C01: Snowflake Certified SnowPro Associate - Platform Certification Valid Study Guide

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Snowflake Certified SnowPro Associate - Platform Certification Sample Questions (Q113-Q118):

NEW QUESTION # 113
You are tasked with loading data from a large number of small CSV files (each less than IOMB) stored in an S3 bucket into a single Snowflake table. You anticipate frequent additions of new CSV files to the bucket. Which of the following approaches would provide the MOST efficient and cost-effective solution for continuously loading this data into Snowflake, while minimizing operational overhead and latency? Select all that apply.

A. Creating a Snowpipe that leverages an external function to preprocess each file before loading it into the table.
B. Creating a Snowpipe that uses the 'AUTO INGEST = TRUE parameter and a notification integration configured to monitor the S3 bucket.
C. Creating a Snowpipe with SQS integration and a dedicated compute warehouse only configured for the pipe.
D. Employing a third-party ETL tool to periodically extract data from the S3 bucket, transform it, and load it into Snowflake.
E. Using the 'COPY INTO' command with the 'VALIDATION_MODE = RETURN_ERRORS parameter to load all files in the S3 bucket on a scheduled basis using a Snowflake Task.

Answer: B,C

Explanation:
Snowpipe with 'AUTO_INGEST = TRUE and a notification integration (SNS/SQS) is designed for continuous loading of files from cloud storage. This is the most efficient and cost-effective solution. Batch loading with 'COPY INTO' via a Task is less responsive and incurs unnecessary costs due to scheduled execution. Third-party ETL tools add complexity and cost. While Snowpipe can use external functions, it's generally not recommended for this simple scenario and adds unnecessary overhead. For Snowpipe dedicated compute warehouse is a important point for cost effective way

NEW QUESTION # 114
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. Rely solely on Fail-safe for long-term data retention and recovery.
B. 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.
C. 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.
D. Set appropriately (e.g. 90 days) and regularly back up data to external storage and create granular access roles.
E. 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.

Answer: B,C

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 # 115
A data engineer needs to create a new database named `SALES DATA for storing sales transactions. They want to ensure that only users with the 'DB_ADMIN' role can manage the database. After creating the database, the engineer needs to grant the `SELECT privilege on all tables within the `SALES DATA.PUBLIC' schema to a role named 'ANALYST'. Which of the following is the MOST secure and efficient sequence of SQL commands to accomplish this?

A. CREATE DATABASE SALES DATA; GRANT OWNERSHIP ON DATABASE SALES DATA TO ROLE DB ADMIN; USE DATABASE SALES DATA; GRANT SELECT ON ALL TABLES IN SCHEMA PUBLIC TO ROLE ANALYST;
B. CREATE DATABASE SALES DATA; USE DATABASE SALES DATA; GRANT OWNERSHIP ON DATABASE SALES DATA TO ROLE DB ADMIN; GRANT SELECT ON FUTURE TABLES IN SCHEMA PUBLIC TO ROLE ANALYST;
C. CREATE DATABASE SALES DATA; GRANT OWNERSHIP ON DATABASE SALES DATA TO ROLE DB ADMIN; GRANT SELECT ON SCHEMA SALES DATA.PUBLIC TO ROLE ANALYST, GRANT SELECT ON ALL TABLES IN SCHEMA SALES DATA.PUBLIC TO ROLE ANALYST;
D. CREATE DATABASE SALES DATA; GRANT OWNERSHIP ON DATABASE SALES DATA TO ROLE DB ADMIN; GRANT SELECT ON ALL TABLES IN SCHEMA SALES DATA.PUBLIC TO ROLE ANALYST;
E. CREATE DATABASE SALES DATA; GRANT OWNERSHIP ON DATABASE SALES DATA TO ROLE DB ADMIN; GRANT SELECT ON FUTURE TABLES IN SCHEMA SALES DATA.PUBLIC TO ROLE ANALYST;

Answer: E

Explanation:
Option B is the most secure and efficient. Granting OWNERSHIP on the database ensures DB_ADMIN can manage it. Using 'GRANT SELECT ON FUTURE TABLES' ensures that any new tables created in the `PUBLIC' schema will automatically have the 'SELECT privilege granted to the ANALYST' role. This eliminates the need to manually grant privileges each time a new table is created. Option A only grants access to existing tables. Options C and E are inefficient because they attempt to grant access to the schema itself, which is not the correct approach for controlling access to the tables within it. Option D requires using the database explicitly. Option A and E does not have future grants

NEW QUESTION # 116
A data engineering team is loading data from a CSV file containing customer information into a Snowflake table. The CSV file occasionally contains malformed data, such as missing fields or fields with incorrect data types (e.g., a string in a numeric field). The team wants to ensure that the loading process continues even when such errors occur, and that the problematic records are tracked for later analysis. Which of the following COPY INTO options should be used to achieve this, and how should the error be handled?

A. Use 'ON_ERROR = 'SKIP_FILE" to skip the entire file if any errors are encountered, and use
'VALIDATION_MODE = to log all errors for later analysis.
B. Use 'ON ERROR = 'CONTINUE'` to allow the COPY statement to proceed even when errors are encountered, and use = FALSE' to handle varying column counts. Direct invalid records to a quarantine table using 'VALIDATION_MODE = RETURN ALL ERRORS.
C. Use 'ON_ERROR = 'SKIP_FILE" to skip the entire file if any errors are encountered, without logging details of the error.
D. Use 'ON ERROR = 'CONTINUE'` to allow the COPY statement to proceed even when errors are encountered, and use 'VALIDATION MODE = along with ` RESULT_SCAN' to retrieve error details and store them in a separate error table. Consider setting `ERROR MISMATCH = FALSE' depending on file structure variability.
E. Use 'ON_ERROR = 'SKIP_FILE" along with the 'SIZE_LIMIT parameter to limit the size of the file that can be skipped.

Answer: D

Explanation:
'ON_ERROR = 'CONTINUE'` ensures that the load continues despite errors.
'VALIDATION_MODE = RETURN_ERRORS' allows you to retrieve details about the errors using the RESULT SCAN' function, which can then be stored in a separate error table. This allows for later analysis of problematic records. = FALSE is necessary if the column count varies between input records.

NEW QUESTION # 117
You are using Snowpipe to load data into a table. You need to monitor the data loading process and identify any files that failed to load. Which of the following actions will provide you with information about the files that were processed by Snowpipe and their loading status, including error messages?

A. Enable the ERROR copy option to log all errors to a separate table. Query this table to identify the files that failed to load and their corresponding error messages.
B. Use the 'SYSTEM$PIPE STATUS function to check the status of the Snowpipe. If the status is
'ERROR', examine the error logs in the cloud storage service (e.g., AWS S3) for detailed error messages.
C. Query the 'VALIDATION MODE column in the target table to see if the data was successfully loaded and if any validation errors occurred during the loading process.
D. Examine the event logs generated by the cloud provider's event notification service (e.g., AWS SNS) that triggers Snowpipe. These logs contain detailed information about the files processed and any errors encountered.
E. Query the `COPY HISTORY' view in the `SNOWFLAKE database to view the history of COPY INTO statements executed by Snowpipe, including the files loaded and any error messages.

Answer: E

Explanation:
The 'COPY HISTORY view in the 'SNOWFLAKES database provides detailed information about the COPY INTO statements executed by Snowpipe, including the files loaded, the number of rows loaded, and any error messages encountered during the loading process. This allows you to identify files that failed to load and understand the reasons for the failures. Option A is incorrect,
'VALIDATION_MODE' isn't a column. Option B provides general status, not file-specific details.
Option D 'ON_ERROR can redirect bad records, but doesn't provide a history like COPY_HISTORY. option E relies on external logging, while `COPY_HISTORY is native to Snowflake.

NEW QUESTION # 118
......

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