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Snowflake DEA-C01 Exam Overview:

Certification Vendor:Snowflake
Exam Name:SnowPro Advanced: Data Engineer Certification Exam
Exam Number:DEA-C01
Certificate Validity Period:2 years
Related Certifications:SnowPro Core
SnowPro Advanced: Data Analyst
SnowPro Advanced: Architect
SnowPro Advanced: Data Scientist
SnowPro Advanced: Administrator
SnowPro Advanced: Security Engineer
Passing Score:750 / 1000
Exam Format:Multiple select, Multiple choice
Exam Price:$375 USD
Real Exam Qty:65
Exam Duration:115 minutes
Available Languages:English, Japanese
Recommended Training:SnowPro Advanced: Data Engineer Exam Study Guide
Snowflake University Training Courses
Exam Registration:Snowflake Certification Portal
Pearson VUE Registration
Sample Questions:Snowflake DEA-C01 Sample Questions
Exam Way:Online proctored or onsite at Pearson VUE test centers
Pre Condition:Must hold active SnowPro Core Certification; recommended 2+ years hands-on data engineering experience
Official Syllabus URL:https://learn.snowflake.com/en/certifications/snowpro-advanced-dataengineer/

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Snowflake DEA-C01 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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.
Topic 3
  • 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 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
  • 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.

Snowflake SnowPro Advanced: Data Engineer Certification Exam Sample Questions (Q314-Q319):

NEW QUESTION # 314
You have been tasked with migrating an on-premises MySQL database to Amazon Aurora PostgreSQL using AWS Database Migration Service (DMS). The stakeholder emphasizes that the source database must remain fully operational during the migration process.
Which of the following statements about DMS is accurate with respect to this scenario?

Answer: C


NEW QUESTION # 315
What is a characteristic of the use of external tokenization?

Answer: A

Explanation:
Explanation
External tokenization is a feature in Snowflake that allows users to replace sensitive data values with tokens that are generated and managed by an external service. External tokenization allows the preservation of analytical values after de-identification, such as preserving the format, length, or range of the original values.
This way, users can perform analytics on the tokenized data without compromising the security or privacy of the sensitive data.


NEW QUESTION # 316
A company stores customer data that contains personally identifiable information (PII) in an Amazon Redshift cluster. The company's marketing, claims, and analytics teams need to be able to access the customer data.
The marketing team should have access to obfuscated claim information but should have full access to customer contact information. The claims team should have access to customer information for each claim that the team processes. The analytics team should have access only to obfuscated PII data.
Which solution will enforce these data access requirements with the LEAST administrative overhead?

Answer: D


NEW QUESTION # 317
You're working as a data engineer for a financial services company processing real-time stock market data feeds. This data includes stock prices, trading volumes, and market news. You need a robust infrastructure to capture, process, and analyze this real-time data stream to make informed investment decisions. Downtime or data loss in your streaming pipeline can have significant consequences. Which option ensures high availability and fault tolerance with minimal operational overhead?

Answer: A

Explanation:
Amazon MSK (Managed Streaming for Apache Kafka) provides a fully managed Kafka service that ensures high availability and fault tolerance with minimal operational overhead.


NEW QUESTION # 318
A company needs a solution to automatically ingest data from an Amazon S3 bucket to an Amazon Redshift table every day. The company must obfuscate sensitive data in Amazon Redshift. Users must not be able to view the sensitive data as plaintext.
Which solution will meet these requirements with the LEAST operational overhead?

Answer: B

Explanation:
Schedule an AWS Glue job to load S3 data into Amazon Redshift, then use Redshift's built-in sensitive data discovery and dynamic data masking to identify sensitive columns and enforce masking at query time. This meets the daily ingest and non-plaintext visibility requirements with the least operational overhead, since masking is managed natively in Redshift without custom obfuscation pipelines or Macie-based preprocessing.


NEW QUESTION # 319
......

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