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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 Duration: | 90 minutes |
| Certificate Validity Period: | 2 years (recertification required) |
| Exam Format: | Multiple Select, Multiple Choice |
| Real Exam Qty: | approximately 50 questions |
| Related Certifications: | SnowPro Core Certification (Recommended Prerequisite) |
| Passing Score: | ~70% (exact passing score not publicly disclosed by Snowflake) |
| 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 Storage and Retrieval | 15-20% | - Performance Optimization
|
| Performance Engineering | 10-15% | - Warehouse Management
|
| Data Transformation | 20-25% | - Data Processing Patterns
|
| Advanced Snowflake Features | 10-15% | - External Integrations
|
| Data Ingestion | 15-20% | - Bulk Data Loading
|
| Data Governance and Security | 15-20% | - Compliance and Monitoring
|
Your Snowflake SnowPro Advanced: Data Engineer Certification Questions, Fully Answered
Snowflake lists the following prerequisites for the Snowflake SnowPro Advanced: Data Engineer Certification: SnowPro Core Certification is strongly recommended before attempting this advanced-level exam. Practical experience with Snowflake data engineering projects is essential..
Verify the current requirements on the official certification page before registering.
The Snowflake SnowPro Advanced: Data Engineer Certification blueprint is organized around these main domains:
- Data Storage and Retrieval (15-20%)
- Data Governance and Security (15-20%)
- Data Transformation (20-25%)
Additional domains follow in the official outline; our bank covers the complete set.
Per the latest exam information, the DEA-C01 exam contains approximately 50 questions questions and allows 90 minutes minutes. The software and online engines let you rehearse under those exact conditions.
Clear and confirmed. If you fail the corresponding exam within 60 days of purchase, send your failure score report to our support email together with a scanned copy of your enrollment slip — the official Score Report PDF must reach us within two days of the exam date. Once confirmed, we process the full refund within seven days. Exclusions: exams taken within three days of purchase, candidate names that differ from the payer, and free or expired products. Alternatively, exchange your product for two others of equal value at no cost.
Upon successful payment, our system automatically emails the product to your mailbox — typically within about a minute — with an instant download link on screen. If nothing arrives within two hours, check your spam folder and contact us. From the date of purchase you hold a 365-day service warranty: our IT colleagues check update information every day, and whenever the bank is revised, we send you the download email for reference. Renew beyond the year at a 50% discount.
Currently, the DEA-C01 exam requires a passing score of ~70% (exact passing score not publicly disclosed by Snowflake), and the registration fee is $375 USD. Both figures belong to Snowflake and can change, so confirm them on the official site when you book.
Match the tool to your habits. The PDF version suits paper lovers: read online or print out for handwritten practice. The software version suits Windows users: interactive and functional, it reminds you of good study methods and easy memorization — and it remembers your mistakes after each session, prompting repeated practice until they stick. The online version carries the same functions to every operating system and device, so you can read, write, and recite anytime, anywhere. Whichever you choose, every answer is expert-verified, customer service is online 24/7, your information stays secret under a strict protection system — no advertisement emails — and returning customers enjoy loyalty discounts.
Snowflake SnowPro Advanced: Data Engineer Certification Sample Questions:
A company needs to store and analyze a large amount of IoT sensor data. The company needs to retain the data indefinitely. The company analyzes the data in an Amazon Redshift cluster.
Which solution will meet these requirements MOST cost-effectively?
- A. Store the data in an Amazon S3 bucket in JSON format. Configure auto-copy data ingestion from the S3 bucket to the Redshift cluster.
- B. Store the data in an Amazon S3 bucket in Apache Parquet format. Configure query access through Amazon Redshift Spectrum.
- C. Store the data in an Amazon S3 bucket in JSON format. Configure query access through Amazon Redshift Spectrum.
- D. Store the data in an Amazon S3 bucket in Apache Parquet format. Configure auto-copy data ingestion from the S3 bucket to the Redshift cluster.
Correct Answer: B 🗳️
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A company uses AWS Glue jobs to implement several data pipelines. The pipelines are critical to the company.
The company needs to implement a monitoring mechanism that will alert stakeholders if the pipelines fail.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Configure an Amazon CloudWatch Logs log group for the AWS Glue jobs. Create an Amazon EventBridge rule to match new log creation events in the log group. Configure the rule to target an AWS Lambda function that reads the logs and sends notifications to an Amazon Simple Notification Service (Amazon SNS) topic if AWS Glue job failure logs are present.
- B. Configure an Amazon CloudWatch Logs log group for the AWS Glue jobs. Create an Amazon EventBridge rule to match new log creation events in the log group. Configure the rule to send notifications to an Amazon Simple Notification Service (Amazon SNS) topic.
- C. Create an Amazon EventBridge rule to match AWS Glue job failure events. Configure the rule to target an AWS Lambda function to process events. Configure the function to send notifications to an Amazon Simple Notification Service (Amazon SNS) topic.
- D. Create an Amazon EventBridge rule to match AWS Glue job failure events. Define an Amazon CloudWatch metric based on the EventBridge rule. Set up a CloudWatch alarm based on the metric to send notifications to an Amazon Simple Notification Service (Amazon SNS) topic.
Correct Answer: D 🗳️
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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 AWS CLI to gather the information.
- B. Use Amazon S3 Inventory configurations reports to gather the information.
- C. Use the Amazon S3 Storage Lens dashboard to gather the information.
- D. Use AWS usage reports for Amazon S3 to gather the information.
Correct Answer: C 🗳️
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A financial company recently added more features to its mobile app. The new features required the company to create a new topic in an existing Amazon Managed Streaming for Apache Kafka (Amazon MSK) cluster.
A few days after the company added the new topic, Amazon CloudWatch raised an alarm on the RootDiskUsed metric for the MSK cluster.
How should the company address the CloudWatch alarm?
- A. Expand the storage of the Apache ZooKeeper nodes.
- B. Specify the Target Volume-in-GiB parameter for the existing topic.
- C. Expand the storage of the MSK broker. Configure the MSK cluster storage to expand automatically.
- D. Update the MSK broker instance to a larger instance type. Restart the MSK cluster.
Correct Answer: C 🗳️
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A manufacturing company wants to collect data from sensors. A data engineer needs to implement a solution that ingests sensor data in near real time.
The solution must store the data to a persistent data store. The solution must store the data in nested JSON format. The company must have the ability to query from the data store with a latency of less than 10 milliseconds.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Use a self-hosted Apache Kafka cluster to capture the sensor data. Store the data in Amazon S3 for querying.
- B. Use Amazon Kinesis Data Streams to capture the sensor data. Store the data in Amazon DynamoDB for querying.
- C. Use Amazon Simple Queue Service (Amazon SQS) to buffer incoming sensor data. Use AWS Glue to store the data in Amazon RDS for querying.
- D. Use AWS Lambda to process the sensor data. Store the data in Amazon S3 for querying.
Correct Answer: C 🗳️
