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

DEA-C02 real exams

Exam Code: DEA-C02

Exam Name: SnowPro Advanced: Data Engineer (DEA-C02)

Updated: Aug 08, 2026

Q & A: 354 Questions and Answers

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Snowflake DEA-C02 Exam Syllabus Topics:

SectionWeightObjectives
Data Pipeline Architecture and Design15-20%- Build end-to-end near real-time streaming solutions
- Integrate with external tools and platforms: orchestration, BI, ML
- Apply design patterns for data engineering workloads
- Design scalable, reliable, and maintainable data pipelines
Data Ingestion and Sourcing20-25%- Handle different data formats: structured, semi-structured, unstructured
- 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
Data Governance, Security, and Compliance10-15%- Implement access control: RBAC, authentication, authorization
- Enforce data quality and governance standards
- Manage data lineage, cataloging, and compliance policies
- Apply data protection: encryption, masking, row-level security
Performance Optimization and Compute Management15-20%- Manage virtual warehouses: sizing, scaling, multi-cluster, cost control
- Optimize query performance: clustering, partitioning, materialized views
- Monitor and tune workloads and resource utilization
- Use search optimization and query acceleration services
Data Transformation and Processing20-25%- Transform and enrich data using SQL, JavaScript, Python, and Snowpark
- Manage data quality, validation, and deduplication
- Process semi-structured data: JSON, Avro, Parquet, ORC
- Implement ELT/ETL workflows using Streams, Tasks, and Dynamic Tables
Data Sharing and Collaboration5-10%- Implement secure data sharing and data exchanges
- Design multi-tenant and cross-account data architectures
- Work with Snowflake Data Marketplace and external data providers

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

1. You have implemented a masking policy on the 'SSN' column of the 'EMPLOYEES' table. You now need to suspend the masking policy temporarily for a specific batch job that requires access to the unmasked data'. What is the recommended way to achieve this without dropping the masking policy or altering the user's role?

A) Grant the 'APPLY MASKING POLICY privilege to the user running the batch job, allowing them to bypass the masking policy.
B)

C) Create a temporary view on the 'EMPLOYEES' table without the 'SSN' column, grant access to the view for the batch job, and drop the view after the job is complete.
D) Set the 'DISABLE MASKING' session parameter to 'TRUE' for the batch job session. This will temporarily disable all masking policies.
E) Create a new role with 'ACCOUNTADMIN' privileges, assign this role to the batch job process during the execution, and then revert back to the original role after the job is done.


2. You are developing a data pipeline in Snowflake that processes sensitive customer data'. You need to implement robust data governance controls, including column-level security and data masking. Which of the following combinations of Snowflake features, when used together, provides the MOST comprehensive solution for achieving this?

A) Object tagging, column-level security policies (using views), and masking policies.
B) Row-level security policies and data masking policies.
C) Row access policies and data masking policies on base tables, supplemented with object tagging and column-level security policies on views that grant limited access to specific user roles.
D) Data masking policies and network policies.
E) Dynamic tables and masking policies.


3. You are developing a Snowpark Python application that reads data from a large Snowflake table, performs several transformations, and then writes the results back to a new table. You notice that the write operation is taking significantly longer than the read and transformation steps. The target table is not clustered. Which of the following actions, either individually or in combination, would likely improve the write performance most significantly ?

A) Disable auto-tuning for the warehouse to ensure consistent performance
B) Increase the size of the Snowflake warehouse used for the Snowpark session.
C) Use the FILE SIZE', value)' method to reduce the size of the output files, potentially leading to more parallelism during the write operation.
D) Cluster the target table on the primary key before writing to it. Then, ensure the data being written is pre-sorted according to the clustering key.
E) Use the 'DataFrame.repartition(numPartitions)' method before writing to the table. Choose a 'numPartitionS value that is significantly higher than the number of virtual warehouses in your warehouse size.


4. A healthcare provider stores patient data in Snowflake, including 'PATIENT ID', 'NAME, 'MEDICAL HISTORY , and 'INSURANCE ID. They need to comply with HIPAA regulations. As a data engineer, you need to ensure that PHI (Protected Health Information) is masked appropriately based on user roles. Which of the following steps are NECESSARY to achieve this using Snowflake's data masking features and RBAC? (Select all that apply)

A) Identify the columns containing PHI and create appropriate masking policies for each column (e.g., masking 'NAME, 'MEDICAL HISTORY, INSURANCE_ID).
B) Grant the 'OWNERSHIP privilege on the 'PATIENT table to the 'ACCOUNTADMIN' role, ensuring complete control and management of the data by the administrator.
C) Enforce multi-factor authentication (MFA) for all users accessing the Snowflake environment to enhance security and prevent unauthorized access to sensitive data.
D) Apply the created masking policies to the corresponding columns in the patient data tables, ensuring that the masking policies are designed to reveal only the necessary information based on the user's role (e.g., doctors see full medical history, nurses see limited medical history, admins see de-identified data).
E) Create custom roles representing different user groups within the organization (e.g., 'DOCTOR, 'NURSE, 'ADMIN') and grant them the necessary privileges to access the data, including 'SELECT on the tables and views containing patient data.


5. A Snowflake table 'PRODUCT REVIEWS' is being ingested into from an external system. You have a stream 'PRODUCT REVIEWS STREAM' defined on this table to capture changes. Due to a bug in the ingestion process, incorrect data was loaded for a specific period. You need to correct the data'. Which of the following SQL statements, when executed against the 'PRODUCT REVIEWS STREAM' , will return the number of rows that were inserted, updated, and deleted during that period?

A)

B)

C)

D)

E)


Solutions:

Question # 1
Answer: B
Question # 2
Answer: A,C
Question # 3
Answer: D
Question # 4
Answer: A,D,E
Question # 5
Answer: B

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