PDF Version DemoSecond-attempt candidates are the most honest judges of study material, and they keep choosing ActualPDF. The Snowflake SnowPro Advanced: Data Engineer Certification package offers 387 verified DEA-C01 practice questions for people who want the next attempt to be the last.
Snowflake DEA-C01 Exam Overview:
| Certification Vendor: | Snowflake |
|---|---|
| Exam Name: | SnowPro Advanced: Data Engineer Certification Exam |
| Exam Number: | DEA-C01 |
| Exam Format: | Multiple choice, Multiple select, Scenario-based questions |
| Related Certifications: | SnowPro Core Certification |
| Real Exam Qty: | Approximately 65 questions |
| Available Languages: | English |
| Certificate Validity Period: | 2 years |
| Exam Duration: | 115 minutes |
| Passing Score: | Not publicly disclosed (Snowflake uses scaled scoring) |
| Exam Price: | $375 USD |
| Recommended Training: | Snowflake University Training SnowPro Advanced Data Engineer Exam Guide |
| Exam Registration: | Snowflake Certification Portal |
| Sample Questions: |  |
| 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 |
|---|---|
| Topic 1: Data Loading and Integration | - Bulk data loading
|
| Topic 2: Data Engineering Fundamentals on Snowflake | - Data ingestion concepts
|
| Topic 3: Performance Optimization | - Query performance tuning
|
| Topic 4: Security, Governance, and Data Sharing | - Access control
|
| Topic 5: Semi-Structured and Advanced Data Handling | - Advanced transformation techniques
|
| Topic 6: Data Pipelines and Transformation | - Streams and Tasks
|
Snowflake DEA-C01 Exam: FAQ for Serious Candidates
Snowflake SnowPro Advanced: Data Engineer Certification is an official Snowflake exam, listed under exam code DEA-C01. A passing result earns you the SnowPro Advanced: Data Engineer certification at the Advanced level. It also ties into SnowPro Core Certification, extending its value across your certification roadmap. Employers read this credential as verified competence, which is why it keeps appearing in job requirements.
Expect Approximately 65 questions questions inside 115 minutes on the Snowflake SnowPro Advanced: Data Engineer Certification exam. That pace punishes hesitation, so rehearse it: the ActualPDF software engine simulates the real exam scene, reminds you of the questions you got wrong, and pushes you to re-practice them until the clock stops being your enemy.
Passing Snowflake SnowPro Advanced: Data Engineer Certification requires Not publicly disclosed (Snowflake uses scaled scoring), and the official registration fee is $375 USD. Retakes charge the full $375 USD again, which is why experienced candidates treat preparation as the cheaper exam fee. Verify your readiness with repeated ActualPDF practice scores above the requirement before you commit to a date.
Recommended: SnowPro Core Certification or equivalent Snowflake experience
Requirements evolve, so confirm the current conditions before registering on the official exam page.
Registration for Snowflake SnowPro Advanced: Data Engineer Certification goes through the official channels listed here.
When you schedule, note that the exam is delivered Online proctored or authorized testing center.
Snowflake recommends the following training for Snowflake SnowPro Advanced: Data Engineer Certification candidates.
Follow any course with the 387 practice questions in the ActualPDF DEA-C01 package; the software engine will even remind you which mistakes need another round.
Yes. ActualPDF provides a free download demo of the Snowflake SnowPro Advanced: Data Engineer Certification material, so you can check the content before choosing a version. After purchase, a one-year warranty covers you: the latest version is sent to you as it releases, free for 365 days, and after expiry you can extend the update service at a 50% discount.
Your purchase is covered by a 100% money-back guarantee with clear conditions. Take the Snowflake SnowPro Advanced: Data Engineer Certification exam within 60 days of purchase; if you fail, provide your unqualified result by submitting a scanned enrollment slip and the official Score Report PDF within 2 days of the exam, and the full refund is processed within 7 days. The exam must match your product, candidate and payer names must match, and attempts within 3 days of purchase, unused downloads, free materials, and expired orders are not covered. Alternatively, exchange for two other exam products of equal value, free, or wait for updates while keeping your original product's update service.
Delivery is instant: files unlock for download at payment and are emailed within one minute. If nothing arrives within 2 hours, check spam and contact customer service, which works 7/24 and normally replies within two hours. Installation is unlimited across your computers.
The Snowflake SnowPro Advanced: Data Engineer Certification syllabus spans 6 domains, led by Performance Optimization, Security, Governance, and Data Sharing, and Data Pipelines and Transformation. The complete topic list is published above; candidates who study the map first rarely get lost later.
Snowflake SnowPro Advanced: Data Engineer Certification Sample Questions:
A data engineer is launching an Amazon EMR cluster. The data that the data engineer needs to load into the new cluster is currently in an Amazon S3 bucket. The data engineer needs to ensure that data is encrypted both at rest and in transit. The data that is in the S3 bucket is encrypted by an AWS Key Management Service (AWS KMS) key. The data engineer has an Amazon S3 path that has a Privacy Enhanced Mail (PEM) file.
Which solution will meet these requirements?
- A. Create an Amazon EMR security configuration. Specify the appropriate AWS KMS key for at-rest encryption for the S3 bucket. Specify the Amazon S3 path of the PEM file for in-transit encryption.
Use the security configuration during EMR cluster creation. - B. Create an Amazon EMR security configuration. Specify the appropriate AWS KMS key for local disk encryption for the S3 bucket. Specify the Amazon S3 path of the PEM file for in-transit encryption. Use the security configuration during EMR cluster creation.
- C. Create an Amazon EMR security configuration. Specify the appropriate AWS KMS key for at-rest encryption for the S3 bucket. Specify the Amazon S3 path of the PEM file for in-transit encryption.
Create the EMR cluster, and attach the security configuration to the cluster. - D. Create an Amazon EMR security configuration. Specify the appropriate AWS KMS key for at-rest encryption for the S3 bucket. Create a second security configuration. Specify the Amazon S3 path of the PEM file for in-transit encryption. Create the EMR cluster, and attach both security configurations to the cluster.
Correct Answer: A 🗳️
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A global ecommerce company processes customer transactions, inventory updates, and user activity logs across multiple AWS services. The company needs a scalable, fully managed, and event-driven orchestration solution to coordinate complex extract, transform, and load (ETL) workflows. The solution must use AWS Glue and Amazon EMR to process data. The data will be stored in Amazon Redshift and Amazon S3. The solution must support dependency management, automated retries, and data pipeline monitoring. Which solution will meet these requirements?
- A. Create an AWS Lambda function that runs each step of the workflow. Create an Amazon EventBridge scheduled rule to invoke the function every day.
- B. Use Apache Airflow on Amazon Managed Workflows for Apache Airflow (Amazon MWAA) to create Directed Acyclic Graphs (DAGs) to manage ETL workflows.
- C. Use AWS Step Functions to define an express workflow that invokes the data transformation and loading tasks across Amazon EMR and AWS Glue.
- D. Create AWS Lambda functions for each step of the workflow Configure Amazon EventBridge to invoke AWS Glue jobs. Configure the Lambda functions to process and move data through the pipeline.
Correct Answer: B 🗳️
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A company uses an organization in AWS Organizations to manage multiple AWS accounts. The company uses an enhanced fanout data stream in Amazon Kinesis Data Streams to receive streaming data from multiple producers. The company runs the data stream in an account named Account A. The company wants to use an AWS Lambda function in an account named Account B to process the data from the data stream. The company creates a Lambda execution role in Account B that has permissions to access data from the data stream in Account A.
What additional step must the company take to meet this requirement?
- A. Create a service control policy (SCP) to grant the data stream read access to the cross-account Lambda execution role. Attach the SCP to Account B.
- B. Add a resource-based policy to the data stream to allow read access for the cross-account Lambda execution role.
- C. Create a service control policy (SCP) to grant the data stream read access to the cross-account Lambda execution role. Attach the SCP to Account A.
- D. Add a resource-based policy to the cross-account Lambda function to grant the data stream read access to the function.
Correct Answer: B 🗳️
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A company uses an AWS Lambda function to transfer files from a legacy SFTP environment to Amazon S3 buckets. The Lambda function is VPC enabled to ensure that all communications between the Lambda function and other AVS services that are in the same VPC environment will occur over a secure network.
The Lambda function is able to connect to the SFTP environment successfully. However, when the Lambda function attempts to upload files to the S3 buckets, the Lambda function returns timeout errors. A data engineer must resolve the timeout issues in a secure way.
Which solution will meet these requirements in the MOST cost-effective way?
- A. Use a VPC internet gateway to connect to the internet. Route network traffic to the VPC internet gateway.
- B. Create a VPC gateway endpoint for Amazon S3. Route network traffic to the VPC gateway endpoint.
- C. Create a NAT gateway in the public subnet of the VPC. Route network traffic to the NAT gateway.
- D. Create a VPC interface endpoint for Amazon S3. Route network traffic to the VPC interface endpoint.
Correct Answer: B 🗳️
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A company uses an Amazon QuickSight dashboard to monitor usage of one of the company's applications. The company uses AWS Glue jobs to process data for the dashboard. The company stores the data in a single Amazon S3 bucket. The company adds new data every day.
A data engineer discovers that dashboard queries are becoming slower over time. The data engineer determines that the root cause of the slowing queries is long-running AWS Glue jobs.
Which actions should the data engineer take to improve the performance of the AWS Glue jobs?
(Choose two.)
- A. Convert the AWS Glue schema to the DynamicFrame schema class.
- B. Partition the data that is in the S3 bucket. Organize the data by year, month, and day.
- C. Increase the AWS Glue instance size by scaling up the worker type.
- D. Modify the IAM role that grants access to AWS glue to grant access to all S3 features.
- E. Adjust AWS Glue job scheduling frequency so the jobs run half as many times each day.
Correct Answer: B,C 🗳️
