Snowflake DEA-C01 Exam : SnowPro Advanced: Data Engineer Certification Exam

  • Exam Code: DEA-C01
  • Exam Name: SnowPro Advanced: Data Engineer Certification Exam
  • Updated: Oct 26, 2026
  • Q & A: 387 Questions and Answers

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Snowflake DEA-C01 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Data Movement: Snowflake Data Engineers and Software Engineers are assessed on their proficiency to load, ingest, and troubleshoot data in Snowflake. It evaluates skills in building continuous data pipelines, configuring connectors, and designing data sharing solutions.
Topic 2
  • Security: The Security topic of the DEA-C01 test covers the principles of Snowflake security, including the management of system roles and data governance. It measures the ability to secure data and ensure compliance with policies, crucial for maintaining secure data environments for Snowflake Data Engineers and Software Engineers.
Topic 3
  • Data Transformation: The SnowPro Advanced: Data Engineer exam evaluates skills in using User-Defined Functions (UDFs), external functions, and stored procedures. It assesses the ability to handle semi-structured data and utilize Snowpark for transformations. This section ensures Snowflake engineers can effectively transform data within Snowflake environments, critical for data manipulation tasks.
Topic 4
  • Performance Optimization: This topic assesses the ability to optimize and troubleshoot underperforming queries in Snowflake. Candidates must demonstrate knowledge in configuring optimal solutions, utilizing caching, and monitoring data pipelines. It focuses on ensuring engineers can enhance performance based on specific scenarios, crucial for Snowflake Data Engineers and Software Engineers.
Topic 5
  • Storage and Data Protection: The topic tests the implementation of data recovery features and the understanding of Snowflake's Time Travel and micro-partitions. Engineers are evaluated on their ability to create new environments through cloning and ensure data protection, highlighting essential skills for maintaining Snowflake data integrity and accessibility.

Reference: https://learn.snowflake.com/en/certifications/snowpro-advanced-dataengineer/

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Snowflake SnowPro Advanced: Data Engineer Certification Sample Questions:

Question #1

A company wants to use machine learning (ML) to perform analytics on data that is in an Amazon S3 data lake. The company has two data transformation requirements that will give consumers within the company the ability to create reports.
The company must perform daily transformations on 300 GB of data that is in a variety format that must arrive in Amazon S3 at a scheduled time. The company must perform one-time transformations of terabytes of archived data that is in the S3 data lake. The company uses Amazon Managed Workflows for Apache Airflow (Amazon MWAA) Directed Acyclic Graphs (DAGs) to orchestrate processing.
Which combination of tasks should the company schedule in the Amazon MWAA DAGs to meet these requirements MOST cost-effectively? (Choose two.)

  • A. For daily incoming data, use AWS Glue crawlers to scan and identify the schema.
  • B. For archived data, use Amazon SageMaker to perform data transformations.
  • C. For daily and archived data, use Amazon EMR to perform data transformations.
  • D. For daily incoming data, use Amazon Redshift to perform transformations.
  • E. For daily incoming data, use Amazon Athena to scan and identify the schema.
Reveal Solution  Discussion  0

Correct Answer: A,C  🗳️

Question #2

In a data engineering pipeline, a company is using multiple applications and teams to access a shared Amazon S3 bucket. To streamline access and simplify permissions management for these different entities, which S3 feature should the company utilize?

  • A. Use S3 Access Points to create unique endpoints with tailored permissions for each application or team.
  • B. Activate S3 Transfer Acceleration for the bucket to ensure fast and differentiated access for each application or team.
  • C. Enable multiple IAM roles, each corresponding to an application or team, granting access to the S3 bucket.
  • D. Implement S3 Lifecycle policies for each application or team to manage their specific data access and retention.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #3

A company uses Amazon Redshift for its data warehouse. A data engineer must query a table named orders.complete_orders_history, which contains 100 columns. The query must return all columns except columns named companyId and unique_system_id. Which Amazon Redshift SQL statement will meet this requirement?

  • A.
  • B.
  • C.
  • D.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #4

A company wants to analyze sales records that the company stores in a MySQL database. The company wants to correlate the records with sales opportunities identified by Salesforce.
The company receives 2 GB of sales records every day. The company has 100 GB of identified sales opportunities. A data engineer needs to develop a process that will analyze and correlate sales records and sales opportunities. The process must run once each night.
Which solution will meet these requirements with the LEAST operational overhead?

  • A. Use Amazon Managed Workflows for Apache Airflow (Amazon MWAA) to fetch both datasets.
    Use AWS Lambda functions to correlate the datasets. Use AWS Step Functions to orchestrate the process.
  • B. Use Amazon AppFlow to fetch sales opportunities from Salesforce. Use AWS Glue to fetch sales records from the MySQL database. Correlate the sales records with the sales opportunities. Use Amazon Managed Workflows for Apache Airflow (Amazon MWAA) to orchestrate the process.
  • C. Use Amazon AppFlow to fetch sales opportunities from Salesforce. Use AWS Glue to fetch sales records from the MySQL database. Correlate the sales records with sales opportunities. Use AWS Step Functions to orchestrate the process.
  • D. Use Amazon AppFlow to fetch sales opportunities from Salesforce. Use Amazon Kinesis Data Streams to fetch sales records from the MySQL database. Use Amazon Managed Service for Apache Flink to correlate the datasets. Use AWS Step Functions to orchestrate the process.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #5

A marketing company uses Amazon S3 to store marketing data. The company uses versioning in some buckets. The company runs several jobs to read and load data into the buckets.
To help cost-optimize its storage, the company wants to gather information about incomplete multipart uploads and outdated versions that are present in the S3 buckets.
Which solution will meet these requirements with the LEAST operational effort?

  • A. Use Amazon S3 Inventory configurations reports to gather the information.
  • B. Use the Amazon S3 Storage Lens dashboard to gather the information.
  • C. Use AWS CLI to gather the information.
  • D. Use AWS usage reports for Amazon S3 to gather the information.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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