The Snowflake SnowPro Advanced: Data Engineer Certification certification has a strong reputation for a reason — the DEA-C01 exam tests applied skills, not memorized definitions. Candidates around the world use Actual4Exams practice questions to close knowledge gaps before test day.
Snowflake DEA-C01 Exam Overview:
| Certification Vendor: | Snowflake |
|---|---|
| Exam Name: | SnowPro Advanced: Data Engineer Certification Exam |
| Exam Number: | DEA-C01 |
| Certificate Validity Period: | 2 years (recertification required) |
| Related Certifications: | SnowPro Core Certification (Recommended Prerequisite) |
| Exam Price: | $375 USD |
| Exam Duration: | 90 minutes |
| Real Exam Qty: | approximately 50 questions |
| Passing Score: | ~70% (exact passing score not publicly disclosed by Snowflake) |
| Exam Format: | Multiple Select, Multiple Choice |
| Available Languages: | English |
| Sample Questions: |  |
| Exam Way: | Online proctored exam (via Pearson VUE) or in-person testing center |
| Pre Condition: | SnowPro Core Certification is strongly recommended before attempting this advanced-level exam. Practical experience with Snowflake data engineering projects is essential. |
| Official Syllabus URL: | https://www.snowflake.com/certification/ |
Snowflake DEA-C01 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Ingestion | 15-20% | - Continuous Data Ingestion
|
| Performance Engineering | 10-15% | - Warehouse Management
|
| Data Transformation | 20-25% | - Streams and Tasks
|
| Data Governance and Security | 15-20% | - Access Control
|
| Advanced Snowflake Features | 10-15% | - Data Lakes
|
| Data Storage and Retrieval | 15-20% | - Performance Optimization
|
Snowflake SnowPro Advanced: Data Engineer Certification (DEA-C01) — Questions Candidates Actually Ask
The DEA-C01 exam, officially known as Snowflake SnowPro Advanced: Data Engineer Certification, is the Snowflake test that leads to the SnowPro Advanced certification at the Advanced level. Passing it validates the skills employers expect from a certified professional. It is also associated with related credentials such as SnowPro Core Certification (Recommended Prerequisite).
The DEA-C01 exam contains approximately 50 questions questions, and you have 90 minutes to complete them. Work out your per-question pace before test day, and flag slow items instead of stalling on them — time pressure, not knowledge, sinks many first attempts. Timed mock exams in the Actual4Exams test engines are the most reliable way to build that rhythm.
The passing score for the DEA-C01 exam is ~70% (exact passing score not publicly disclosed by Snowflake), and the official registration fee is $375 USD. If you miss the mark, a retake means paying the full fee again, so book your seat only when you are ready. A practical benchmark: score consistently above the passing line on timed practice tests before scheduling the real exam.
SnowPro Core Certification is strongly recommended before attempting this advanced-level exam. Practical experience with Snowflake data engineering projects is essential.
Entry requirements can change, so confirm the latest conditions on the official exam page: https://www.snowflake.com/certification/.
Yes. A free PDF demo of the Snowflake SnowPro Advanced: Data Engineer Certification questions is available, so you can check the question style and answer quality before you pay. Every purchase also includes 365 days of free updates, and if the product expires you can renew the update service at a 50% discount from your member zone.
If you take the corresponding DEA-C01 exam within 60 days of purchase and do not pass, you can apply for a full refund under the 100% Money Back Guarantee: submit a scan of your enrollment slip and your official Score Report (PDF) within 2 days of the exam date, and the claim is processed within 7 days. Attempts made within 3 days of purchase, downloads without an actual exam attempt, free materials, and expired orders are not eligible, and the candidate name must match the payer name. Prefer new material instead of a refund? You can exchange your purchase for two free products of equal value and keep the update service on your original product. As for delivery, the files are available for instant download and are also emailed to you within one minute of payment — if nothing arrives within 2 hours, contact customer service. There is no limit on how many computers you can install the product on.
The official Snowflake SnowPro Advanced: Data Engineer Certification outline is organized into 6 domains. The first three are:
- Data Governance and Security — 15-20% of the exam
- Performance Engineering — 10-15% of the exam
- Advanced Snowflake Features — 10-15% of the exam
See the complete exam topics section above for the full outline and the weighting of every domain.
Snowflake SnowPro Advanced: Data Engineer Certification Sample Questions:
A company has a data pipeline that processes transaction data in real time. The company needs a notification system that alerts different teams based on the type of processing error without any delay. For security-related errors, the system must immediately notify the security team. For data validation errors, the system must notify the data quality team. For system errors, the system must notify the operations team. Which solution will meet these requirements with the LEAST operational overhead?
- A. Set up Amazon CloudWatch alarms with different metrics for each error type. Invoke a different Amazon Simple Notification Service (Amazon SNS) notification each time a metrics threshold is crossed.
- B. Configure Amazon EventBridge rules with distinct event patterns for each error type. Route each error type to a dedicated Amazon Simple Notification Service (Amazon SNS) topic for team- specific alerts.
- C. Create an Amazon Simple Notification Service (Amazon SNS) topic with an AWS Lambda function subscriber that evaluates the error type and forwards the error to the appropriate email addresses.
- D. Use Amazon Simple Queue Service (Amazon SQS) with message attributes to categorize errors.
Allow each team to poll their respective SQS queue for relevant errors.
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A company is developing a new application in which vast amounts of data will be ingested in near real-time from Amazon Kinesis Firehose to Amazon S3. AWS Glue will perform ETL on this data set. Files in the Amazon S3 bucket have varying sizes from 50 MB to 1 GB. AWS Glue should be able to query this data with an optimized response time and should support data growth without any performance impact.
What step can be initiated to support this requirement?
- A. Create a partitioned index.
- B. Store files with size of less than 100 MBs in each partition.
- C. Use User-defined functions in the partitions.
- D. Use a row storage format.
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A company wants to migrate a data warehouse from Teradata to Amazon Redshift.
Which solution will meet this requirement with the LEAST operational effort?
- A. Manually export the schema definition from Teradata. Apply the schema to the Amazon Redshift database. Use AWS Database Migration Service (AWS DMS) to migrate the data.
- B. Use AWS Database Migration Service (AWS DMS) Schema Conversion to migrate the schema.
Use AWS DMS to migrate the data. - C. Use the AWS Schema Conversion Tool (AWS SCT) to migrate the schema. Use AWS Database Migration Service (AWS DMS) to migrate the data.
- D. Use AWS Database Migration Service (AWS DMS) to migrate the data. Use automatic schema conversion.
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A data engineer needs Amazon Athena queries to finish faster. The data engineer notices that all the files the Athena queries use are currently stored in uncompressed .csv format. The data engineer also notices that users perform most queries by selecting a specific column.
Which solution will MOST speed up the Athena query performance?
- A. Change the data format from .csv to Apache Parquet. Apply Snappy compression.
- B. Change the data format from .csv to JSON format. Apply Snappy compression.
- C. Compress the .csv files by using gzip compression.
- D. Compress the .csv files by using Snappy compression.
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A company receives test results from testing facilities that are located around the world. The company stores the test results in millions of 1 KB JSON files in an Amazon S3 bucket. A data engineer needs to process the files, convert them into Apache Parquet format, and load them into Amazon Redshift tables. The data engineer uses AWS Glue to process the files, AWS Step Functions to orchestrate the processes, and Amazon EventBridge to schedule jobs.
The company recently added more testing facilities. The time required to process files is increasing. The data engineer must reduce the data processing time.
Which solution will MOST reduce the data processing time?
- A. Use the Amazon Redshift COPY command to move the raw input files from Amazon S3 directly into the Amazon Redshift tables. Process the files in Amazon Redshift.
- B. Use Amazon EMR instead of AWS Glue to group the raw input files. Process the files in Amazon EMR. Load the files into the Amazon Redshift tables.
- C. Use AWS Lambda to group the raw input files into larger files. Write the larger files back to Amazon S3. Use AWS Glue to process the files. Load the files into the Amazon Redshift tables.
- D. Use the AWS Glue dynamic frame file-grouping option to ingest the raw input files. Process the files. Load the files into the Amazon Redshift tables.
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We still understand the effort, time, and money you will invest in preparing for your certification exam, which makes failure in the Snowflake DEA-C01 exam really painful and disappointing. Although we cannot reduce your pain and disappointment but we can certainly share with you the financial loss.
This means that if due to any reason you are not able to pass the DEA-C01 actual exam even after using our product, we will reimburse the full amount you spent on our products. you just need to mail us your score report along with your account information to address listed below within 7 days after your unqualified certificate came out.
