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Snowflake DEA-C02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Sharing and Collaboration | 5-10% | - Design multi-tenant and cross-account data architectures - Work with Snowflake Data Marketplace and external data providers - Implement secure data sharing and data exchanges |
| Data Pipeline Architecture and Design | 15-20% | - Apply design patterns for data engineering workloads - Integrate with external tools and platforms: orchestration, BI, ML - Design scalable, reliable, and maintainable data pipelines - Build end-to-end near real-time streaming solutions |
| Data Transformation and Processing | 20-25% | - Implement ELT/ETL workflows using Streams, Tasks, and Dynamic Tables - Process semi-structured data: JSON, Avro, Parquet, ORC - Manage data quality, validation, and deduplication - Transform and enrich data using SQL, JavaScript, Python, and Snowpark |
| Data Ingestion and Sourcing | 20-25% | - Ingest data from various sources: data lakes, APIs, on-premises systems, cloud storage - Handle different data formats: structured, semi-structured, unstructured - Design and implement continuous and batch ingestion pipelines - Use Snowflake ingestion methods: Snowpipe, COPY INTO, External Functions |
| Performance Optimization and Compute Management | 15-20% | - Manage virtual warehouses: sizing, scaling, multi-cluster, cost control - Use search optimization and query acceleration services - Optimize query performance: clustering, partitioning, materialized views - Monitor and tune workloads and resource utilization |
| Data Governance, Security, and Compliance | 10-15% | - Manage data lineage, cataloging, and compliance policies - Enforce data quality and governance standards - Implement access control: RBAC, authentication, authorization - Apply data protection: encryption, masking, row-level security |
Snowflake SnowPro Advanced: Data Engineer (DEA-C02) Sample Questions:
1. You are the provider of a data product on the Snowflake Marketplace. You need to grant a trial access to a potential consumer You want to provide limited access for 7 days to specific tables in your database. Which of the following steps are REQUIRED to accomplish this?
(Select all that apply)
A) Create a new role, grant USAGE privilege on the database and SELECT privilege on the specific tables to this role, and then grant this role to the trial consumer.
B) Monitor the consumer's query history to ensure they are only accessing the allowed tables.
C) Create a new share specifically for the trial consumer, granting USAGE privilege on the database and SELECT privilege on the specific tables.
D) Contact Snowflake support to enable trial access for the consumer's account.
E) Grant OWNERSHIP on the specific tables to the consumer's account temporarily.
2. A large e-commerce company stores clickstream data in an AWS S3 bucket. The data is partitioned by date and consists of Parquet files. They need to analyze this data in Snowflake without physically moving it into Snowflake's internal storage. However, the data frequently changes, and they need to ensure queries reflect the latest updates to the files without significant latency. Which of the following approaches would be MOST suitable, considering cost, performance, and data freshness?
A) Create a standard external table with the 'AUTO REFRESH' parameter set to 'TRUE'. This will automatically refresh the metadata whenever changes are detected in S3.
B) Create a series of views on top of the S3 bucket using 'READ_PARQUET function, updating view definitions whenever underlying files change.
C) Create a standard external table directly on the S3 bucket. Refresh the external table metadata using SALTER EXTERNAL TABLE ... REFRESH' on a daily schedule.
D) Create an external table using a Snowflake-managed catalog. Configure a Snowpipe to automatically refresh the metadata as new files are added to the S3 bucket.
E) Create an Iceberg table backed by the S3 bucket. Snowflake will automatically manage the metadata and handle incremental updates efficiently.
3. You are managing a Snowflake environment where data retention is set to the default 1 day for all databases and tables. You need to clone a production table, 'CUSTOMER DATA, to a development environment to test some complex transformations. However, after cloning, you realize that the original 'CUSTOMER DATA' table in production was accidentally dropped 2 days ago. Which of the following statements accurately describe the situation and what can be done, if anything?
A) The cloned 'CUSTOMER DATA' table in the development environment will remain accessible because the clone operation created a point-in-time snapshot.
B) The cloned 'CUSTOMER DATA' table will only remain accessible if the source database was also cloned at the same time. If only the table was cloned, the cloned table is unusable after 1 day.
C) The cloned 'CUSTOMER DATA' table in the development environment will no longer be accessible because the source table has been dropped and the data retention period has expired. The clone is effectively useless.
D) The cloned 'CUSTOMER DATA' table in the development environment will inherit the data retention period from the original 'CUSTOMER DATA' table, so it will also be inaccessible after 1 day if dropped in development.
E) While the source 'CUSTOMER DATA' is dropped and outside the retention period, the clone created will remain available and fully functional for querying. It is an independent copy. The clone is usable indefinitely, within the limits of your Snowflake account storage.
4. A data provider wants to create a Listing in the Snowflake Marketplace. They want to ensure that consumers can only access the data in a secure and controlled manner. The provider needs to restrict data access based on specific roles within the consumer's Snowflake account and track data usage. Which of the following steps are NECESSARY to achieve these requirements?
A) Implement a secure view with a 'WHERE clause that filters data based on the consumer's context and share the view in the Listing.
B) Grant direct access to the underlying tables and views to the consumer's roles.
C) Create a Reader Account and share the data through that account, managing access directly.
D) Implement row-level security policies on the shared tables and views to filter data based on consumer roles. Share the tables and views in the Listing. Monitor usage through Snowflake's account usage views.
5. You're designing a data masking solution for a 'CUSTOMER' table with columns like 'CUSTOMER ID', 'NAME', 'EMAIL', and 'PHONE NUMBER. You want to implement the following requirements: 1. The 'SUPPORT' role should be able to see the last four digits of the 'PHONE NUMBER and a hashed version of the 'EMAIL'. 2. The 'MARKETING' role should be able to see the full 'NAME' and a domain-only version of the 'EMAIL' (everything after the '@' symbol). 3. All other roles should see masked values for 'EMAIL' and 'PHONE NUMBER. Which of the following masking policy definitions BEST achieves these requirements using Snowflake's built-in functions and RBAC?
A)
B)
C)
D)
E) 
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: E | Question # 3 Answer: E | Question # 4 Answer: D | Question # 5 Answer: E |
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