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Snowflake DEA-C02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Sharing and Collaboration | 5-10% | - Implement secure data sharing and data exchanges - Work with Snowflake Data Marketplace and external data providers - Design multi-tenant and cross-account data architectures |
| Data Transformation and Processing | 20-25% | - Implement ELT/ETL workflows using Streams, Tasks, and Dynamic Tables - Process semi-structured data: JSON, Avro, Parquet, ORC - Transform and enrich data using SQL, JavaScript, Python, and Snowpark - Manage data quality, validation, and deduplication |
| Data Governance, Security, and Compliance | 10-15% | - Implement access control: RBAC, authentication, authorization - Apply data protection: encryption, masking, row-level security - Enforce data quality and governance standards - Manage data lineage, cataloging, and compliance policies |
| Data Pipeline Architecture and Design | 15-20% | - Build end-to-end near real-time streaming solutions - Integrate with external tools and platforms: orchestration, BI, ML - Design scalable, reliable, and maintainable data pipelines - Apply design patterns for data engineering workloads |
| Performance Optimization and Compute Management | 15-20% | - Monitor and tune workloads and resource utilization - Use search optimization and query acceleration services - Manage virtual warehouses: sizing, scaling, multi-cluster, cost control - Optimize query performance: clustering, partitioning, materialized views |
| Data Ingestion and Sourcing | 20-25% | - Ingest data from various sources: data lakes, APIs, on-premises systems, cloud storage - Design and implement continuous and batch ingestion pipelines - Use Snowflake ingestion methods: Snowpipe, COPY INTO, External Functions - Handle different data formats: structured, semi-structured, unstructured |
Snowflake SnowPro Advanced: Data Engineer (DEA-C02) Sample Questions:
1. You are developing a Python script to perform bulk data updates in a Snowflake table. The script needs to update a large number of rows based on values from a Pandas DataFrame. Which of the following approaches is the most efficient and scalable way to achieve this using the Snowflake Python connector, minimizing the number of database operations?
A) Use 'SnowflakeCursor.executemany()' with a list of tuples containing the update values.
B) Create a temporary table in Snowflake, load the DataFrame into the temporary table using , and then use a single 'UPDATE' statement with a 'JOIN' to the temporary table.
C) Iterate through the rows of the Pandas DataFrame and execute an 'UPDATE statement for each row using 'cursor.execute()'.
D) Use with the option to insert the updated data into a staging table, then use a 'MERGE' statement to update the target table from the staging table.
E) Construct a single, large 'UPDATE statement with multiple 'CASE WHEN' clauses to update all rows in a single operation.
2. You need to define a UDF in Snowflake that takes a date as input and returns the next business day (Monday-Friday). If the input date is a Friday, the UDF should return the following Monday. If the input date is a Saturday or Sunday, the function should return the following Monday as well. Which of the following UDF definitions correctly implements this logic?
A) Option A
B) Option B
C) Option E
D) Option D
E) Option C
3. 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.
4. You need to implement both a row access policy and a dynamic data masking policy on the 'EMPLOYEE table in Snowflake. The requirements are as follows: 1. Employees should only be able to see their own record in the 'EMPLOYEE table. 2. The 'SALARY' column should be masked for all employees except those with the 'HR ADMIN' role. Unmasked values are required for compliance reasons, they need to be available for 'HR ADMIN' role. Given the following table structure: CREATE TABLE EMPLOYEE ( EMPLOYEE ID INT, EMPLOYEE NAME STRING, SALARY NUMBER, EMAIL STRING ) ; Which of the following sets of steps correctly implement the row access policy and dynamic data masking policy?
A) Option A
B) Option B
C) Option E
D) Option D
E) Option C
5. You are tasked with building a data pipeline that ingests data from various sources into Snowflake, processes it, and then writes the final results back to a data lake in AWS S3, partitioned by date. The data in S3 should be queryable by other applications outside of Snowflake. You choose to use Snowflake Iceberg tables for this purpose. Which of the following is the correct SQL statement to create an Iceberg table 'analytics.public.daily_summary' in Snowflake, backed by an S3 bucket 's3://your-bucket/data/daily_summary/', partitioned by the column, and specifying 'parquet' as the file format?
A) Option A
B) Option B
C) Option E
D) Option D
E) Option C
Solutions:
| Question # 1 Answer: A,D | Question # 2 Answer: C | Question # 3 Answer: C,D | Question # 4 Answer: B | Question # 5 Answer: C |
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