Exam Name: SnowPro Advanced: Data Engineer Certification Exam
Certification Provider: Snowflake
Corresponding Certification: SnowPro Advanced
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- Total Questions: 387
- Updated on: Sep 20, 2026
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Snowflake DEA-C01 Exam Overview:
| Certification Vendor: | Snowflake |
|---|---|
| Exam Name: | SnowPro Advanced: Data Engineer Certification Exam |
| Exam Number: | DEA-C01 |
| Exam Price: | $375 USD |
| Exam Format: | Scenario-based questions, Multiple select, Multiple choice |
| Passing Score: | Not publicly disclosed (Snowflake uses scaled scoring) |
| Related Certifications: | SnowPro Core Certification |
| Certificate Validity Period: | 2 years |
| Exam Duration: | 115 minutes |
| Available Languages: | English |
| Real Exam Qty: | Approximately 65 questions |
| Recommended Training: | SnowPro Advanced Data Engineer Exam Guide Snowflake University Training |
| Exam Registration: | Snowflake Certification Portal |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored or authorized testing center |
| Pre Condition: | Recommended: SnowPro Core Certification or equivalent Snowflake experience |
| Official Syllabus URL: | https://www.snowflake.com/certifications/snowpro-advanced-data-engineer/ |
Snowflake DEA-C01 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Security, Governance, and Data Sharing | - Data governance
|
| Data Loading and Integration | - Snowpipe and continuous ingestion
|
| Data Engineering Fundamentals on Snowflake | - Snowflake architecture for data engineering
|
| Performance Optimization | - Warehouse optimization
|
| Data Pipelines and Transformation | - ETL/ELT design patterns in Snowflake
|
| Semi-Structured and Advanced Data Handling | - Semi-structured data processing
|
Snowflake DEA-C01 Exam — Your Questions, Our Answers
Registration for the Snowflake SnowPro Advanced: Data Engineer Certification goes through the official channels listed here:
One detail worth knowing before you book: the DEA-C01 exam is delivered Online proctored or authorized testing center.
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The Snowflake SnowPro Advanced: Data Engineer Certification blueprint is organized into 6 domains, led by Semi-Structured and Advanced Data Handling, Security, Governance, and Data Sharing, and Performance Optimization. The complete weighted syllabus appears above on this page — it is the checklist your preparation should be measured against.
You will face Approximately 65 questions questions within 115 minutes on the DEA-C01 exam. The real exam pressure comes from that ratio — knowledge alone does not finish exams on time. Rehearse with the TestKingFree test engine's timed mode, repeat the same question sets until the answers consolidate, and pacing stops being a risk factor.
Recommended: SnowPro Core Certification or equivalent Snowflake experience
Eligibility rules do get revised, so before booking, verify the current requirements on the official Snowflake exam page.
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Snowflake lists these training resources for the Snowflake SnowPro Advanced: Data Engineer Certification:
Courses build the framework; repeated practice consolidates it. Pair whichever resource you choose with 387 practice questions from TestKingFree and important knowledge points stay learned, not just seen.
The DEA-C01 exam — full title SnowPro Advanced: Data Engineer Certification Exam — is Snowflake's own certification test, and passing it awards the SnowPro Advanced: Data Engineer certification at the Advanced level. The certificate is valuable precisely because it is demanding: it proves to employers that your skills survived a vendor-built examination. It also serves as a stepping stone toward SnowPro Core Certification.
The passing score is Not publicly disclosed (Snowflake uses scaled scoring), and the official registration fee is $375 USD. Note that the fee pays for a single attempt — a retake is charged at full price again, which is the expensive way to discover weak spots. The cheaper discovery method is self-testing: drill 387 practice questions at TestKingFree in timed mode until your scores clear the passing mark with room to spare, then register.
Snowflake SnowPro Advanced: Data Engineer Certification Sample Questions:
A financial company wants to use Amazon Athena to run on-demand SQL queries on a petabyte- scale dataset to support a business intelligence (BI) application. An AWS Glue job that runs during non-business hours updates the dataset once every day. The BI application has a standard data refresh frequency of 1 hour to comply with company policies.
A data engineer wants to cost optimize the company's use of Amazon Athena without adding any additional infrastructure costs.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Change the format of the files that are in the dataset to Apache Parquet.
- B. Add an Amazon ElastiCache cluster between the BI application and Athena.
- C. Use the query result reuse feature of Amazon Athena for the SQL queries.
- D. Configure an Amazon S3 Lifecycle policy to move data to the S3 Glacier Deep Archive storage class after 1 day.
Correct Answer: C 🗳️
Explanation: Only visible for TestKingFree members. You can sign-up / login (it's free).
A company stores information about its subscribers in an Amazon S3 bucket. The company runs an analysis every time a subscriber ends their subscription. The company uses AWS Lambda functions to respond to events from the S3 bucket by performing analyses.
The Lambda functions clean data from the S3 bucket and initiate an AWS Glue workflow. The Lambda functions have 128 MB of memory and 512 MB of ephemeral storage. The Lambda functions have a timeout of 15 seconds.
All three functions successfully finish running. However, CPU usage is often near 100%, which causes slow performance. The company wants to improve the performance of the functions and reduce the total runtime of the pipeline.
Which solution will meet these requirements?
- A. Increase the memory of the Lambda functions to 512 MB.
- B. Increase the timeout value for the Lambda functions from 15 seconds to 30 seconds.
- C. Increase the number of retries by using the Maximum Retry Attempts setting.
- D. Configure the Lambda functions to run in the company's VPC.
Correct Answer: A 🗳️
Explanation: Only visible for TestKingFree members. You can sign-up / login (it's free).
A company uses an Amazon Redshift cluster to manage data, including vendor sales data. The company wants to store a copy of the vendor data in an Amazon S3 bucket.
A data engineer sets up an AWS Glue job to upload the data to the S3 bucket data on a schedule. The data engineer set up a network connection to allow private traffic between Amazon Redshift and Amazon S3.
What is the next step required to meet this requirement?
- A. Create an IAM role that has permission to write to the S3 bucket. Associate the IAM role with the Amazon Redshift cluster.
- B. Add the S3 bucket to an AWS Glue Data Catalog. Configure Amazon Redshift Spectrum to access the Data Catalog.
- C. Enable the Amazon Redshift data sharing feature. Set the S3 bucket as a target bucket for data sharing.
- D. Store login credentials for Amazon Redshift in AWS Secrets Manager. Add a reference to the secret to the Glue job configuration.
Correct Answer: A 🗳️
Explanation: Only visible for TestKingFree members. You can sign-up / login (it's free).
A finance company receives data from third-party data providers and stores the data as objects in an Amazon S3 bucket.
The company ran an AWS Glue crawler on the objects to create a data catalog. The AWS Glue crawler created multiple tables. However, the company expected that the crawler would create only one table.
The company needs a solution that will ensure the AVS Glue crawler creates only one table.
Which combination of solutions will meet this requirement? (Choose two.)
- A. Ensure that all S3 object names follow a similar pattern.
- B. Ensure that the object format and schema are the same for each object. Do not enforce consistency for the compression type of each object.
- C. Ensure that the object format, compression type, and schema are the same for each object.
- D. Ensure that the structure of the prefix for each S3 object name is consistent.
- E. Ensure that the schema is the same for each object. Do not enforce consistency for the file format and compression type of each object.
Correct Answer: C,D 🗳️
A company implements a data mesh that has a central governance account. The company needs to catalog all data in the governance account. The governance account uses AWS Lake Formation to centrally share data and grant access permissions.
The company has created a new data product that includes a group of Amazon Redshift Serverless tables. A data engineer needs to share the data product with a marketing team. The marketing team must have access to only a subset of columns. The data engineer needs to share the same data product with a compliance team. The compliance team must have access to a different subset of columns than the marketing team needs access to.
Which combination of steps should the data engineer take to meet these requirements? (Choose two.)
- A. Create an Amazon Redshift managed VPC endpoint in the marketing team's account. Grant the marketing team access to the views.
- B. Share the Amazon Redshift data share to the Lake Formation catalog in the governance account.
- C. Create an Amazon Redshift data share that includes the tables that need to be shared.
- D. Share the Amazon Redshift data share to the Amazon Redshift Serverless workgroup in the marketing team's account.
- E. Create views of the tables that need to be shared. Include only the required columns.
Correct Answer: B,C 🗳️
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