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Snowflake SnowPro Advanced: Data Engineer Certification : DEA-C01
- Exam Code: DEA-C01
- Exam Name: SnowPro Advanced: Data Engineer Certification Exam
- Updated: Oct 12, 2026
- Q & A: 387 Questions and Answers
About Snowflake DEA-C01 Exam
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Snowflake DEA-C01 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Transformation & Processing | 30% | - Implement data quality, validation, and schema evolution - Use streams, tasks, dynamic tables for pipelines and CDC - Work with semi-structured and unstructured data - Design and implement transformations: SQL, stored procedures, user-defined functions |
| Data Governance, Security & Sharing | 10% | - Share data securely across accounts and platforms - Track lineage, audit, and maintain data integrity - Apply access control, masking, encryption, and compliance |
| Data Pipeline Orchestration & Automation | 20% | - Build, schedule, monitor, and manage workflows - Error handling, retry logic, and dependency management - Integrate with external orchestration tools |
| Performance Optimization & Scalability | 15% | - Design scalable compute and storage solutions - Optimize warehouses, clustering, partitioning, and query performance - Monitor and tune workloads and resource usage |
| Data Ingestion | 25% | - Use COPY INTO, external tables, Snowpipe, Snowpipe Streaming - Handle file formats, compression, encoding, and schema detection - Ingest from various sources: cloud storage, on-premises, APIs, data lakes |
DEA-C01 Exam FAQ
The Snowflake SnowPro Advanced: Data Engineer Certification exam requires a score of 750 / 1000 to pass, and the official registration fee is $375 USD. Knowing these numbers in advance keeps your planning honest.
Each round of the DEA-C01 question bank starts from the official exam objectives: experts map the syllabus, draft questions to cover it with precision, and review the result before release. When new exam points appear, the bank is updated accordingly β deliberate coverage, not guesswork.
Any details you leave with us during browsing or purchase are guarded against misuse and external threats, and they are used only to deliver your order and support. Your DEA-C01 purchase stays between you and us β that is a standing commitment, not a marketing line.
The Snowflake SnowPro Advanced: Data Engineer Certification exam contains 65 questions, and you will have 115 minutes minutes to complete them. Practicing under the same constraints makes exam-day pacing feel rehearsed.
The Snowflake SnowPro Advanced: Data Engineer Certification exam is scored on a scale where 750 / 1000 is required to pass, and the official exam fee is $375 USD.
Must hold active SnowPro Core Certification; recommended 2+ years hands-on data engineering experience
You can confirm the current eligibility requirements on the official DEA-C01 exam page before you register.
Many candidates combine practice questions with official training. Recommended options include:
This package includes 387 practice questions for the Snowflake SnowPro Advanced: Data Engineer Certification exam. Every answer is verified by an experienced team of experts, so you can trust what you study.
You can register for the Snowflake SnowPro Advanced: Data Engineer Certification exam through the official channels:
The Snowflake SnowPro Advanced: Data Engineer Certification practice questions are organized around the official exam objectives. Key topics include:
- Data Transformation & Processing (30%)
- Data Pipeline Orchestration & Automation (20%)
- Performance Optimization & Scalability (15%)
Syllabus-driven coverage means no wasted practice on irrelevant material.
Snowflake SnowPro Advanced: Data Engineer Certification Sample Questions:
Question #1
A company runs concurrent analytical queries on Amazon Redshift tables multiple times each day. The queries require consistent data views three times each day. The company runs extract, transform, and load (ETL) operations that update dimension tables while the queries run.
The company has noticed that the queries cause table-level locks during the ETL operations. The company's current solution experiences query timeouts and deadlocks during peak processing hours, which affects analytical reporting and on-demand analysis.
Which solution will fix this issue?
- A. Deploy separate Amazon Redshift clusters for ETL and analytics workloads. Use cross-database queries and data sharing to maintain data consistency.
- B. Use Amazon Redshift materialized views for analytical queries. Schedule ETL operations during off-peak hours to minimize lock contention.
- C. Use Amazon Redshift Spectrum to query data in Amazon S3 for analytical workloads. Maintain ETL operations on Amazon Redshift tables with transaction isolation.
- D. Configure Amazon Redshift federated queries to access source data directly. Use read replicas to isolate analytical workloads from ETL operations.
Correct Answer: A π³οΈ
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Question #2
A company has a data processing pipeline that includes several dozen steps. The data processing pipeline needs to send alerts in real time when a step fails or succeeds. The data processing pipeline uses a combination of Amazon S3 buckets, AWS Lambda functions, and AWS Step Functions state machines.
A data engineer needs to create a solution to monitor the entire pipeline.
Which solution will meet these requirements?
- A. figure the AWS Lambda functions to store notifications in an Amazon S3 bucket when the state machines finish running. Enable S3 event notifications on the S3 bucket.
- B. Configure the Step Functions state machines to store notifications in an Amazon S3 bucket when the state machines finish running. Enable S3 event notifications on the S3 bucket.
- C. Configure an Amazon EventBridge rule to react when the execution status of a state machine changes. Configure the rule to send a message to an Amazon Simple Notification Service (Amazon SNS) topic that sends notifications.
- D. Use AWS CloudTrail to send a message to an Amazon Simple Notification Service (Amazon SNS) topic that sends notifications when a state machine fails to run or succeeds to run.
Correct Answer: C π³οΈ
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Question #3
A company is using an AWS Transfer Family server to migrate data from an on-premises environment to AWS. Company policy mandates the use of TLS 1.2 or above to encrypt the data in transit.
Which solution will meet these requirements?
- A. Update the security group rules for the on-premises network to allow only connections that use TLS 1.2 or above.
- B. Install an SSL certificate on the Transfer Family server to encrypt data transfers by using TLS 1.2.
- C. Update the security policy of the Transfer Family server to specify a minimum protocol version of TLS 1.2
- D. Generate new SSH keys for the Transfer Family server. Make the old keys and the new keys available for use.
Correct Answer: C π³οΈ
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Question #4
A company wants to build a dimension table in an Amazon S3 bucket. The bucket contains historical data that includes 10 million records. The historical data is 1 TB in size.
A data engineer needs a solution to update changes for up to 10,000 records in the base table every day.
Which solution will meet this requirement with the LOWEST runtime?
- A. Develop an Amazon EMR job to read new changes into Apache Spark DataFrames. Use the Apache Hudi framework to create the base table in Amazon S3. Use the Spark update method to update the base table.
- B. Develop an AWS Glue Python job to read the historical data and new changes into two Pandas DataFrames. Use the Pandas update method to update the base table.
- C. Develop an AWS Glue Apache Spark job to read the historical data and new changes into two Spark DataFrames. Use the Spark update method to update the base table.
- D. Develop an Apache Spark job in Amazon EMR to read the historical data and the new changes into two Spark DataFrames. Use the Spark update method to update the base table.
Correct Answer: A π³οΈ
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Question #5
A company has a gaming application that stores data in Amazon DynamoDB tables. A data engineer needs to ingest the game data into an Amazon OpenSearch Service cluster. Data updates must occur in near real time.
Which solution will meet these requirements?
- A. Configure an AWS Glue job to have a source of Amazon DynamoDB and a destination of Amazon OpenSearch Service to transfer data in near real time.
- B. Use Amazon DynamoDB Streams to capture table changes. Use an AWS Lambda function to process and update the data in Amazon OpenSearch Service.
- C. Use AWS Step Functions to periodically export data from the Amazon DynamoDB tables to an Amazon S3 bucket. Use an AWS Lambda function to load the data into Amazon OpenSearch Service.
- D. Use a custom OpenSearch plugin to sync data from the Amazon DynamoDB tables.
Correct Answer: B π³οΈ
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