DEA-C01 Test Questions Vce - DEA-C01 Real Dumps

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Snowflake DEA-C01 Exam Overview:

Certification Vendor:	Snowflake
Exam Name:	SnowPro Advanced: Data Engineer Certification Exam
Exam Number:	DEA-C01
Passing Score:	~70% (exact passing score not publicly disclosed by Snowflake)
Exam Price:	$375 USD
Exam Format:	Multiple Choice, Multiple Select
Exam Duration:	90 minutes
Certificate Validity Period:	2 years (recertification required)
Real Exam Qty:	approximately 50 questions
Available Languages:	English
Related Certifications:	SnowPro Core Certification (Recommended Prerequisite)
Sample Questions:	Snowflake DEA-C01 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/

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2026 DEA-C01 Test Questions Vce 100% Pass | Professional DEA-C01 Real Dumps: SnowPro Advanced: Data Engineer Certification Exam

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Snowflake DEA-C01 Exam Syllabus Topics:

Topic	Details
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	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 3	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 4	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 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.

Snowflake SnowPro Advanced: Data Engineer Certification Exam Sample Questions (Q81-Q86):

NEW QUESTION # 81
A transportation company wants to track vehicle movements by capturing geolocation records.
The records are 10 bytes in size. The company receives up to 10.000 records every second. Data transmission delays of a few minutes are acceptable because of unreliable network conditions.
The transportation company wants to use Amazon Kinesis Data Streams to ingest the geolocation data. The company needs a reliable mechanism to send data to Kinesis Data Streams. The company needs to maximize the throughput efficiency of the Kinesis shards.
Which solution will meet these requirements in the MOST operationally efficient way?

A. Amazon Kinesis Data Firehose
B. Kinesis Producer Library (KPL)
C. Kinesis Agent
D. Kinesis SDK

Answer: B

NEW QUESTION # 82
A company stores employee data in Amazon Resdshift. A table names Employee uses columns named Region ID, Department ID, and Role ID as a compound sort key.
Which queries will MOST increase the speed of query by using a compound sort key of the table?
(Choose two.)

A. Select *from Employee where Region ID='North America';
B. Select *from Employee where Role ID=50;
C. Select *from Employee where Department ID=20 and Region ID='North America';
D. Select *from Employee where Region ID='North America' and Role ID=50;
E. Select *from Employee where Region ID='North America' and Department ID=20;

Answer: D,E

Explanation:
To maximize the speed of queries by using the compound sort key (Region ID, Department ID, and Role ID) in the Employee table in Amazon Redshift, the queries should align with the order of the columns in the sort key.

NEW QUESTION # 83
A retail company stores customer data in an Amazon S3 bucket. Some of the customer data contains personally identifiable information (PII) about customers. The company must not share PII data with business partners.
A data engineer must determine whether a dataset contains PII before making objects in the dataset available to business partners.
Which solution will meet this requirement with the LEAST manual intervention?

A. Configure the S3 bucket and S3 objects to allow access to Amazon Macie. Use automated sensitive data discovery in Macie.
B. Configure AWS CloudTrail to monitor S3 PUT operations. Inspect the CloudTrail trails to identify operations that save PII.
C. Create an AWS Lambda function to identify PII in S3 objects. Schedule the function to run periodically.
D. Create a table in AWS Glue Data Catalog. Write custom SQL queries to identify PII in the table.Use Amazon Athena to run the queries.

Answer: A

Explanation:
Amazon Macie is a fully managed data security service that automatically discovers, classifies, and protects sensitive data such as personally identifiable information (PII) in Amazon S3.
Macie's automated sensitive data discovery feature can scan S3 objects for PII without requiring manual intervention, making it the most efficient and automated solution for identifying sensitive data before sharing it with business partners.
CloudTrail is useful for monitoring API calls but is not designed to inspect the contents of S3 objects for PII. This would require manual effort to inspect the data saved in S3, which is inefficient.
While Lambda could be used to scan for PII, it would require custom code to identify sensitive data. This approach increases manual effort for development and maintenance compared to using a fully managed service like Macie.
Writing custom SQL queries to identify PII is a manual process and requires the creation and management of Glue tables and Athena queries. This approach adds complexity and manual intervention compared to the automated capabilities of Macie.

NEW QUESTION # 84
A data engineer is configuring an AWS Glue job to read data from an Amazon S3 bucket. The data engineer has set up the necessary AWS Glue connection details and an associated IAM role. However, when the data engineer attempts to run the AWS Glue job, the data engineer receives an error message that indicates that there are problems with the Amazon S3 VPC gateway endpoint.
The data engineer must resolve the error and connect the AWS Glue job to the S3 bucket.
Which solution will meet this requirement?

A. Verify that the VPC's route table includes inbound and outbound routes for the Amazon S3 VPC gateway endpoint.
B. Review the AWS Glue job code to ensure that the AWS Glue connection details include a fully qualified domain name.
C. Update the AWS Glue security group to allow inbound traffic from the Amazon S3 VPC gateway endpoint.
D. Configure an S3 bucket policy to explicitly grant the AWS Glue job permissions to access the S3 bucket.

Answer: A

Explanation:
https://docs.aws.amazon.com/glue/latest/dg/connection-VPC-disable-proxy.html
https://docs.aws.amazon.com/glue/latest/dg/connection-S3-VPC.html

NEW QUESTION # 85
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. Use AWS Step Functions to define an express workflow that invokes the data transformation and loading tasks across Amazon EMR and AWS Glue.
B. 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.
C. Create an AWS Lambda function that runs each step of the workflow. Create an Amazon EventBridge scheduled rule to invoke the function every day.
D. Use Apache Airflow on Amazon Managed Workflows for Apache Airflow (Amazon MWAA) to create Directed Acyclic Graphs (DAGs) to manage ETL workflows.

Answer: D

Explanation:
Amazon Managed Workflows for Apache Airflow is a fully managed orchestration service built specifically for coordinating complex ETL workflows with dependencies, retries, scheduling, and monitoring. Airflow DAGs can natively orchestrate AWS Glue and Amazon EMR jobs and manage data movement into Amazon Redshift and Amazon S3, making it the best fit for a scalable, event-driven ETL orchestration requirement.

NEW QUESTION # 86
......

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