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Snowflake DEA-C02 Exam Syllabus Topics:

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

1. You are building a data pipeline in Snowflake using Snowpark Python. As part of the pipeline, you need to create a dynamic SQL query to filter records from a table named 'PRODUCT REVIEWS based on a list of product categories. The list of categories is passed to a stored procedure as a string argument, where categories are comma separated. The filtered data needs to be further processed within the stored procedure. Which of the following approaches are MOST efficient and secure ways to construct and execute this dynamic SQL query using Snowpark?

A) Constructing the SQL query using 'session.sql()' and string concatenation, ensuring proper escaping of single quotes within the product categories string.
B) Using the Snowpark "functions.lit()' function to create literal values from the list of product categories and incorporating them into the SQL query, then use 'session.sql()' to run it.
C) Using Snowpark's on the list of product categories after converting them into a Snowflake array, and then using 'session.sql()' to execute the query.
D) Using Python's string formatting to build the SQL query directly, and then executing it using 'session.sql()'.
E) Using Python's string formatting along with the and 'session.sql()' functions to build and execute the SQL query securely, avoiding SQL injection vulnerabilities.

2. You are tasked with designing a solution to load semi-structured data (JSON) from an AWS S3 bucket into a Snowflake table using Snowpipe and the REST API. The data in S3 is constantly being updated, and you need to ensure that only new or modified files are loaded into Snowflake. Which of the following steps are essential for implementing an efficient and cost-effective solution?

A) Use the 'VALIDATION MODES copy option with 'RETURN_ALL RESULTS = TRUE to validate all data being loaded into the Snowflake table.
B) Create a Snowflake external function that polls the S3 bucket every minute, checks for new files using the LIST command, and then calls the Snowpipe REST API endpoint for each new file.
C) Configure auto-ingest using SQS queue and SNOWPIPE object. No need to manually call the REST API endpoint for data loading.
D) Configure Snowpipe to automatically detect new files in the S3 bucket using event notifications, but manually refresh the pipe using SYSTEM $PIPE STATUS periodically to ensure that all files are processed.
E) Configure an S3 event notification to trigger a REST API call to the Snowpipe endpoint whenever a new or modified file is added to the S3 bucket. The API call should include the file name in the request.

3. A global e-commerce company, 'GlobalMart', uses Snowflake for its data warehousing needs. They operate primarily in the US (us-east-1) and Europe (eu-west-l). They're implementing cross-region replication for disaster recovery and business continuity. Their requirements are: 1) All data from the US region needs to be replicated to the EU region. 2) The failover to the EU region should have minimal downtime. 3) Replication should be automatic and continuous. Considering these requirements, which of the following Snowflake features and configurations would be the MOST suitable and efficient?

A) Create a database replica in the EU region and manually refresh it periodically using 'CREATE DATABASE AS CLONE'
B) Use Snowflake's Data Sharing feature to share data from the US region with an account in the EU region. This automatically replicates the data.
C) Export data from the US region to cloud storage (e.g., AWS S3 or Azure Blob Storage) and then load it into the EU region using Snowpipe.
D) Manually unload data from the US region and load it into the EU region using SnowSQL. Automate this process using a scheduled task.
E) Enable database replication using replication groups, configure a primary database in us-east-I , and a secondary database in eu-west-l. Set the replication schedule with 'ALTER REPLICATION GROUP ADD .

4. You are tasked with calculating the daily moving average of sales for each product category in your Snowflake data warehouse using Snowpark Python. You need to handle cases where there might be missing sales data for certain days. You have the following sales data available in a table named with columns: (DATE), (VARCHAR), and 'sales_amount' (NUMBER). Which of the following Snowpark Python code snippets correctly calculates the 7-day moving average of sales amount per product category, filling in missing sales days with 0, and handles potential division by zero?

A) Option C
B) Option B
C) Option A
D) Option D
E) Option E

5. You are designing a complex data pipeline in Snowflake that involves multiple interdependent Tasks. Several of these Tasks need to access sensitive customer data, and you want to ensure that the least privilege principle is followed. How should you configure the Tasks and their associated roles to minimize the risk of unauthorized data access while maintaining the functionality of the pipeline? (Select TWO)

A) Grant 'SELECT privilege on all tables containing sensitive data to the 'PUBLIC' role. Tasks will inherit these privileges and can access the data without explicit role assignments.
B) Create a single role with broad data access privileges and grant this role to all Tasks. This simplifies role management and ensures that no Task encounters permission errors during execution.
C) Grant the role to the user that owns all the Tasks. This ensures that all Tasks have the necessary privileges to access any data within the Snowflake account.
D) Create separate, specific roles for each Task or group of related Tasks. Grant each role only the minimum necessary privileges to access the specific tables and functions required by that Task. Assign each Task to the appropriate role using the 'EXECUTE AS OWNER clause.o
E) Use stored procedures executed with 'EXECUTE AS CALLER to encapsulate the sensitive data access logic. The stored procedure owner (who should have appropriate privileges) grants execute privilege to the Task's role, but the Task itself does not directly interact with the sensitive data.

Solutions: