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Snowflake SnowPro Advanced: Data Engineer (DEA-C02) Sample Questions (Q128-Q133):

NEW QUESTION # 128
You are designing a CI/CD pipeline for your Snowflake data transformations. One stage involves testing a new stored procedure that modifies several tables in your data warehouse. To ensure data integrity and proper rollback capabilities during testing in your development environment, you want to use a combination of cloning and Tme Travel. Select the option that represents the most robust strategy for testing with the ability to revert to the original state in case of failures. Choose all that apply.

A. Immediately after executing the stored procedure, execute 'UNDROP TABLE' on all the affected tables. If there were errors, it would restore data from the point of the procedure execution.
B. Create a new database by cloning the existing database before the transformations. Use the cloned database for all development and testing.
C. Create a clone of the schema containing all the tables affected by the stored procedure before executing the procedure in the development environment. This will create point in time backup to rollback at schema level.
D. Leverage Snowflake's Time Travel feature to create a named snapshot of each affected table immediately before running the stored procedure. Use the 'AT(TIMESTAMP ...)' or 'BEFORE(STATEMENT => ...)' syntax within your testing framework, for easy reversion.
E. Before executing the stored procedure in development, create clones of all affected tables and store the clone names in a configuration file for rollback if needed.

Answer: C,D

Explanation:
Options B and C provide the most robust and Snowflake-native rollback capabilities. Cloning the schema provides a complete and consistent snapshot of all affected tables. Time Travel offers fine-grained control for reverting individual tables to a specific point in time. Option A is less efficient as you would need to manage numerous clones and track them manually which would impact the development. Option D 'UNDROP TABLE' command is for objects that have been dropped already, it is not relevant here. Cloning database in Option E is too resource intensive for regular testing within a CI/CD pipeline.

NEW QUESTION # 129
Consider a table with columns and 'customer _ region'. You want to implement both a Row Access Policy (RAP) and an Aggregation Policy on this table. The RAP should restrict access to orders based on the user's region, defined in a session variable 'CURRENT REGION'. Users should only see orders from their region. The Aggregation Policy should mask order totals for regions other than the user's region when aggregating data'. In other words if someone attempts to aggregate ALL region's totals, the aggregation will only include their region. Which statements about implementing this scenario are true?

A. The Aggregation Policy is evaluated before the RAP, ensuring that even if users try to bypass the RAP by aggregating across all regions, the results will be masked appropriately according to 'CURRENT REGION'.
B. Using external functions in RAPs can introduce performance overhead, especially if the external function is complex or slow to execute.
C. You can use the function within both the RAP and Aggregation Policy to control access based on user roles in addition to region.
D. You cannot use session variables directly in Row Access Policies; you must pass the session variable as an argument to a user-defined function (UDF) called by the policy.
E. The RAP should be applied first to filter the data, and then the Aggregation Policy will apply to the filtered data, only masking aggregated values within the user's region.

Answer: B,C

Explanation:
Option C is correct. ' IS ROLE IN can be used in both policy types for role-based access control. Option D is correct because using external functions can lead to performance problems. Option A is incorrect because the Aggregation Policy's main purpose here is to mask data, so it isn't for filtering the data, it operates based on the results of the RAP. Option B is incorrect as RAP policy applies before AGGREGATION policy. Option E is partially incorrect; session variables are referenced as CURRENT_REGION, CURRENT_USER and no UDF is needed.

NEW QUESTION # 130
A Snowflake table, contains product information in a VARIANT column named This column holds JSON structures. You need to create a view, , that exposes specific fields , and 'category') as structured columns, and should gracefully handle scenarios where may contain characters incompatible with VARCHAR, 'category' is nested inside an array called 'tags'. What is the BEST and the MOST robust approach?

A. Option A
B. Option E
C. Option B
D. Option D
E. Option C

Answer: B

Explanation:
Option E is the best because it uses 'TRY CAST to safely convert 'product_name' to VARCHAR, handling potential invalid characters without causing the query to fail. Further, to select one category element from array of 'tags' , the way it is done in other options is wrong and we should use 'FLATTEN' with limit 1. Option A will cause problems if 'product_name' cannot be directly cast to VARCHAR. Option B is flawed as 'GET_PATH' requires specific index and its unnecessarily complicated for a simple array access, and if the tags array has other elements, this will arbitrarily get the first tag instead of consistently getting the intended first element (if exists). Option C and D don't use 'LIMIT 1 ' and so throw error as subquery returns more than 1 row.

NEW QUESTION # 131
A critical database, 'PRODUCTION DB', in your Snowflake account was accidentally dropped. You need to restore it as quickly as possible, but you're unsure if Time Travel retention is sufficient. Which method guarantees restoration of the database even if it falls outside the Time Travel window?

A. Restore from a Snowflake-managed backup using the 'CREATE DATABASE ... FROM BACKUP' command. Specify the timestamp before the drop occurred.
B. Fail-safe cannot be directly accessed by the user for restoration purposes; it is only used by Snowflake Support in extreme disaster recovery scenarios.
C. Utilize the data cloning feature: 'CREATE DATABASE CLONE PRODUCTION_DB BEFORE (STATEMENT 'DROP DATABASE PRODUCTION_DB');'
D. Contact Snowflake Support and request restoration from Fail-safe.
E. Use the 'UNDROP DATABASE PRODUCTION command.

Answer: B

Explanation:
Fail-safe is a last resort for data recovery managed entirely by Snowflake. Users cannot directly access or restore data from Fail- safe. Options B and C are valid for Time Travel, but fail if the data falls outside of that window. Option A is partially correct; you contact Snowflake support, who then might use fail-safe if appropriate, but option E is the most accurate answer. Option D uses Time Travel, which may not work.

NEW QUESTION # 132
You are ingesting data from an AWS S3 bucket into a Snowflake table using a COPY INTO statement. The COPY INTO command fails with an error indicating 'Invalid stage location specified'. You have verified that the stage name is correct and the Snowflake user has the necessary privileges to access the stage. However, the error persists. Which of the following are potential causes and solutions for this issue?

A. The IAM role associated with the Snowflake stage is incorrect or does not have sufficient permissions to access the S3 bucket. Verify the IAM role configuration and permissions.
B. The network policy configured in Snowflake is blocking access to the AWS S3 endpoint. Check the network policy rules and ensure they allow outbound traffic to the S3 region.
C. The external stage definition in Snowflake includes an incorrect storage integration. Examine and correct the STORAGE INTEGRATION parameter in the CREATE STAGE statement.
D. The S3 bucket policy is not correctly configured to allow Snowflake to assume the IAM role. Review the bucket policy to ensure it grants access to the Snowflake IAM role.
E. The S3 bucket is encrypted using KMS and the Snowflake integration lacks the necessary key grant. Check the KMS key policy to ensure the storage integration IAM role has decrypt permission.

Answer: A,C,D,E

Explanation:
The 'Invalid stage location specified' error can be misleading. It often masks underlying issues with permissions, network connectivity, or encryption. Options A, B, C, and E represent the most common causes. IAM role misconfiguration (A), incorrect S3 bucket policy (B), invalid STORAGE INTEGRATION (C), and missing KMS key grants (E) can all lead to this error. Network Policy issues though possible are less likely if other S3 access is working and the error message is typically more direct.

NEW QUESTION # 133
......

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