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

1. A data engineer is responsible for a Snowflake data pipeline that ingests data from multiple external sources, transforms it, and loads it into a data warehouse. The engineer needs to implement a notification system to alert them when specific data quality issues occur, such as data duplication exceeding a threshold or a sudden drop in data volume. Which approach offers the MOST flexible and scalable solution for implementing these notifications?

A) Rely solely on Snowflake's Data Sharing feature to share the data with a data quality team who will manually review the data and report any issues.
B) Develop custom SQL scripts to periodically query the data for quality issues and send email notifications using Snowflake's stored procedures and the 'EMAIL' external function.
C) Implement a data quality monitoring tool that integrates with Snowflake via JDBC/ODBC and uses its own rules engine and notification system to detect and alert on data quality issues.
D) Create a series of Snowflake Tasks that execute SQL queries to check for data quality issues. If an issue is detected, the task triggers an external function to send a notification to a messaging service (e.g., AWS SNS, Azure Event Grid).
E) Use Snowflake's built-in resource monitors to track data volume and configure alerts based on predefined thresholds. This approach is simple but limited in its ability to detect complex data quality issues.

2.

A) The Snowflake external function is not correctly parsing the JSON response from the Lambda function. Implement a wrapper function in Snowflake to parse the JSON and extract the discount value before returning it.
B) The Lambda function returns the discount within a nested JSON structure Tdata': [[discount]]}'. The Snowflake function is not designed to handle this. The lambda function should return '{'data':
C) The data types in the Lambda function and Snowflake function definition do not match. Specifically, the Lambda function expects strings while Snowflake is sending numbers and vice versa. Modify the Lambda function to handle numeric inputs and ensure the Snowflake function definition aligns with the expected output data type (FLOAT).
D) The 'RETURNS NULL ON NULL INPUT clause in the external function definition is causing the function to return NULL even when valid inputs are provided. Remove this clause.
E) The Lambda function is returning a string instead of a number. Modify the Lambda function to return the discount as a number (e.g., 'discount = 0.15' instead of 'discount = '0.15")

3. You are designing a data sharing solution in Snowflake where a provider account shares a view with a consumer account. The view is based on a table that undergoes frequent DML operations (inserts, updates, deletes). The consumer account needs to see a consistent snapshot of the data, even during these DML operations. Which of the following strategies, or combination of strategies, would be MOST effective in ensuring data consistency from the consumer's perspective, and what considerations should be made?

A) A and B
B) Creating a standard view in the provider account and relying on Snowflake's inherent transactional consistency. The consumer account will always see a consistent snapshot of the data as it existed at the beginning of their query execution. No additional configurations are necessary.
C) Creating a stream on the base table in the provider account and building a view on top of the stream. This way, changes are only reflected when the stream is consumed, allowing for batch processing and controlled updates in the consumer account.
D) Using Snowflake's Time Travel feature by querying the view with a specific 'AT' or 'BEFORE' clause in the consumer account. The provider account needs to inform the consumer account of a specific timestamp that guarantees consistency, adding administrative overhead.
E) Creating a materialized view in the provider account and sharing that materialized view. This adds compute costs to the provider but ensures a consistent snapshot for the consumer account. The materialized view needs to be refreshed periodically, based on the rate of DML changes.

4. You are developing a data pipeline to ingest customer feedback data from a third-party service using the Snowflake REST API. This service imposes rate limits, and exceeding them results in temporary blocking. To handle this, you implement exponential backoff with jitter. Which of the following code snippets BEST demonstrates how to correctly implement exponential backoff with jitter when calling the Snowflake REST API in Python, assuming data)' is a function that makes the API call and raises an exception on rate limiting?

A)

B)

C)

D)

E)

5. A company is using Snowflake's web app interface to manage its data'. A data engineer needs to create a new table, load data into it from a CSV file stored in an internal stage, and then grant SELECT privileges on the table to a specific role using the web app. Which sequence of actions within the Snowflake web app represents the most efficient and secure way to accomplish this task?

A) 1. Use the Database Tables interface to create the new table using the table editor. 2. Use the Data Load Data wizard to load the CSV file. 3. Use the Database -> Tables interface, select the table, and use the 'Privileges' tab to grant SELECT privilege to the role.
B) 1. Use the Database Tables interface to create the new table using the table editor. 2. Use the Data Load Data wizard to load the CSV file. 3. Use the SQL worksheet to execute GRANT SELECT ON TABLE statement.
C) 1. Use the Database Tables interface to create the new table using the table editor. 2. Upload the CSV file directly to the table using the 'Load Data' option. 3. Use the SQL worksheet to execute GRANT SELECT ON TABLE statement.
D) 1. Use the SQL worksheet to execute CREATE TABLE statement. 2. Use the Database -> Tables interface, select the table, and use the 'Load Data' option to load the CSV file. 3. Use the Database -> Tables interface, select the table, and use the 'Privileges' tab to grant SELECT privilege to the role.
E) 1. Use the SQL worksheet to execute CREATE TABLE statement. 2. Use the Data Load Data wizard to load the CSV file. 3. Use the SQL worksheet to execute GRANT SELECT ON TABLE statement.

Solutions: