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Snowflake DEA-C01 Exam Questions

Exam Name: SnowPro Advanced: Data Engineer Certification Exam
Exam Code: DEA-C01
Related Certification(s):
  • Snowflake SnowPro Certifications
  • Snowflake SnowPro Advanced Certifications
Certification Provider: Snowflake
Number of DEA-C01 practice questions in our database: 65 (updated: Apr. 13, 2025)
Expected DEA-C01 Exam Topics, as suggested by Snowflake :
  • 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: 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 4: 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 5: 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.
Disscuss Snowflake DEA-C01 Topics, Questions or Ask Anything Related

Alonso

23 days ago
Thanks to Pass4Success, I was well-prepared for questions on Snowflake's security features. Make sure you understand network policies and federated authentication.
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Viola

29 days ago
Passed the Snowflake Data Engineer exam with flying colors! Pass4Success's materials were a perfect match. Time well spent!
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Kayleigh

1 months ago
The exam had intricate questions on data unloading. Know the various options and best practices for efficient data extraction.
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Rozella

2 months ago
Snowflake's multi-cluster warehouses were a hot topic. Understand auto-scaling and how it affects performance and cost.
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Hana

2 months ago
SnowPro cert in the bag! Pass4Success's questions were spot-on. Saved me weeks of study time. Thanks!
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Rasheeda

2 months ago
Be prepared for questions on external tables. Know the differences between external and internal tables, and when to use each.
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Lashandra

3 months ago
Pass4Success really helped me grasp the concepts of resource monitors. The exam had several questions on setting up and managing them.
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Talia

3 months ago
Just conquered the Snowflake Data Engineer exam! Pass4Success's practice tests were key to my success. Grateful for the time-saving prep!
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Jarod

3 months ago
Just passed the Snowflake SnowPro Advanced: Data Engineer Certification Exam! The Pass4Success practice questions were essential. One challenging question was about storage and data protection, specifically around time travel and fail-safe features. I had some doubts, but I managed to get it right.
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Marion

3 months ago
The exam tested deep knowledge of Streams and Tasks. Understand how they work together for ELT processes.
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Gilberto

4 months ago
Data governance was a key area. Be ready to explain how to implement column-level security and dynamic data masking.
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Zack

4 months ago
SnowPro Advanced: Data Engineer - check! Pass4Success's prep materials made all the difference. Thanks for the efficient study plan!
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Ivory

4 months ago
I passed the Snowflake SnowPro Advanced: Data Engineer Certification Exam, and the Pass4Success practice questions were a big help. There was a tricky question about security, particularly around data encryption methods. I wasn't entirely sure which method was best, but I still passed.
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Justine

4 months ago
Lots of questions on optimizing query performance. Know your clustering keys, materialized views, and search optimization techniques!
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Carey

4 months ago
Thrilled to have passed the Snowflake SnowPro Advanced: Data Engineer Certification Exam. The Pass4Success practice questions were a great help. One question that had me second-guessing was about data movement, specifically the use of external stages. I wasn't completely certain, but I managed to answer it correctly.
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Chantay

5 months ago
Make sure you understand the intricacies of Zero-Copy Cloning. The exam had a few tricky questions about its benefits and use cases.
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Gerald

5 months ago
Passed my Snowflake Data Engineer cert today! Pass4Success's questions were incredibly similar to the real thing. Great resource!
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Asha

5 months ago
I successfully passed the Snowflake SnowPro Advanced: Data Engineer Certification Exam. The Pass4Success practice questions were invaluable. A tough question I encountered was about data transformation, particularly using Snowflake's stored procedures. I wasn't sure about the best practices, but I got through it.
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Lucia

5 months ago
Thanks to Pass4Success for the great prep materials! Their practice questions on Snowpipe were spot-on for the actual exam.
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Claribel

5 months ago
Excited to announce that I passed the Snowflake SnowPro Advanced: Data Engineer Certification Exam. The Pass4Success practice questions were very helpful. One question that puzzled me was about performance optimization, specifically how to use result caching effectively. I wasn't entirely sure, but I still managed to pass.
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Johnathon

6 months ago
Encountered complex scenarios on data transformations. Brush up on your knowledge of various JOIN types and their performance implications.
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Evette

6 months ago
Couldn't believe how well-prepared I felt for the SnowPro exam. Pass4Success nailed it with their study materials!
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Lavelle

6 months ago
I did it! I passed the Snowflake SnowPro Advanced: Data Engineer Certification Exam. Thanks to Pass4Success practice questions, I felt prepared. There was a question about data storage optimization techniques, particularly around clustering keys. I had some doubts, but I managed to answer it correctly.
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Carin

6 months ago
Data sharing was a big topic. Be prepared to explain the setup process and security implications of data sharing between accounts.
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Aretha

6 months ago
Happy to share that I passed the Snowflake SnowPro Advanced: Data Engineer Certification Exam. The Pass4Success practice questions were spot on. One challenging question was about implementing security best practices, specifically around role-based access control. I wasn't completely confident in my answer, but it worked out in the end.
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William

7 months ago
Phew! Made it through the Snowflake Data Engineer cert. Pass4Success practice tests were a lifesaver. Highly recommend!
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Annita

7 months ago
Just cleared the Snowflake SnowPro Advanced: Data Engineer Certification Exam! The Pass4Success practice questions were a lifesaver. There was a tricky question about the most efficient way to move data between Snowflake and external storage systems. I was a bit unsure about the specifics of using Snowpipe versus other methods, but I still passed.
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Yolando

7 months ago
Exam had several questions on Time Travel. Know the differences between standard and extended Time Travel, and when to use each.
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Reita

7 months ago
Just passed the Snowflake Certified: SnowPro Advanced: Data Engineer exam! Questions on data loading were tricky. Make sure you understand the nuances of bulk loading vs. streaming ingestion.
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Salena

7 months ago
I recently passed the Snowflake SnowPro Advanced: Data Engineer Certification Exam, and I must say, the Pass4Success practice questions were incredibly helpful. One question that stumped me was about the best practices for data transformation using Snowflake's native SQL functions. I wasn't entirely sure which functions to use for optimizing complex transformations, but I managed to get through it.
upvoted 0 times
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Ceola

8 months ago
Just passed the SnowPro Advanced: Data Engineer exam! Thanks Pass4Success for the spot-on practice questions. Saved me so much time!
upvoted 0 times
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Lonny

9 months ago
Successfully certified as a Snowflake Data Engineer! Pass4Success's exam questions were spot-on. Thanks for the rapid preparation support!
upvoted 0 times
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Gerri

9 months ago
Passed the Snowflake Data Engineer exam! Pass4Success's practice tests were crucial. Appreciate the quick and effective study materials!
upvoted 0 times
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Rolland

10 months ago
Thrilled to have passed the Snowflake Data Engineer cert! Pass4Success's materials were invaluable. Grateful for the time-saving prep!
upvoted 0 times
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Jolene

10 months ago
SnowPro Advanced: Data Engineer exam conquered! Pass4Success's relevant questions made all the difference. Thanks for the efficient prep!
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Fatima

11 months ago
Thanks to Pass4Success for their relevant practice questions, I passed quickly. Time-travel and fail-safe concepts are crucial. Understand how to leverage these features for data recovery and compliance. Practice calculating storage implications for different retention periods.
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Pa

11 months ago
Just passed the SnowPro Advanced: Data Engineer exam! Pass4Success's practice questions were spot-on. Thanks for helping me prepare quickly!
upvoted 0 times
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Free Snowflake DEA-C01 Exam Actual Questions

Note: Premium Questions for DEA-C01 were last updated On Apr. 13, 2025 (see below)

Question #1

A CSV file around 1 TB in size is generated daily on an on-premise server A corresponding table. Internal stage, and file format have already been created in Snowflake to facilitate the data loading process

How can the process of bringing the CSV file into Snowflake be automated using the LEAST amount of operational overhead?

Reveal Solution Hide Solution
Correct Answer: C

This option is the best way to automate the process of bringing the CSV file into Snowflake with the least amount of operational overhead. SnowSQL is a command-line tool that can be used to execute SQL statements and scripts on Snowflake. By scheduling a SQL file that executes a PUT command, the CSV file can be pushed from the on-premise server to the internal stage in Snowflake. Then, by creating a pipe that runs a COPY INTO statement that references the internal stage, Snowpipe can automatically load the file from the internal stage into the table when it detects a new file in the stage. This way, there is no need to manually start or monitor a virtual warehouse or task.


Question #2

A Data Engineer defines the following masking policy:

....

must be applied to the full_name column in the customer table:

Which query will apply the masking policy on the full_name column?

Reveal Solution Hide Solution
Correct Answer: A

The query that will apply the masking policy on the full_name column is ALTER TABLE customer MODIFY COLUMN full_name SET MASKING POLICY name_policy;. This query will modify the full_name column and associate it with the name_policy masking policy, which will mask the first and last names of the customers with asterisks. The other options are incorrect because they do not follow the correct syntax for applying a masking policy on a column. Option B is incorrect because it uses ADD instead of SET, which is not a valid keyword for modifying a column. Option C is incorrect because it tries to apply the masking policy on two columns, first_name and last_name, which are not part of the table structure. Option D is incorrect because it uses commas instead of dots to separate the database, schema, and table names


Question #3

What is a characteristic of the use of external tokenization?

Reveal Solution Hide Solution
Correct Answer: D

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.


Question #4

Which output is provided by both the SYSTEM$CLUSTERING_DEPTH function and the SYSTEM$CLUSTERING_INFORMATION function?

Reveal Solution Hide Solution
Correct Answer: A

The output that is provided by both the SYSTEM$CLUSTERING_DEPTH function and the SYSTEM$CLUSTERING_INFORMATION function is average_depth. This output indicates the average number of micro-partitions that contain data for a given column value or combination of column values. The other outputs are not common to both functions. The notes output is only provided by the SYSTEM$CLUSTERING_INFORMATION function and it contains additional information or recommendations about the clustering status of the table. The average_overlaps output is only provided by the SYSTEM$CLUSTERING_DEPTH function and it indicates the average number of micro-partitions that overlap with other micro-partitions for a given column value or combination of column values. The total_partition_count output is only provided by the SYSTEM$CLUSTERING_INFORMATION function and it indicates the total number of micro-partitions in the table.


Question #5

Given the table sales which has a clustering key of column CLOSED_DATE which table function will return the average clustering depth for the SALES_REPRESENTATIVE column for the North American region?

A)

B)

C)

D)

Reveal Solution Hide Solution
Correct Answer: B

The table function SYSTEM$CLUSTERING_DEPTH returns the average clustering depth for a specified column or set of columns in a table. The function takes two arguments: the table name and the column name(s). In this case, the table name is sales and the column name is SALES_REPRESENTATIVE. The function also supports a WHERE clause to filter the rows for which the clustering depth is calculated. In this case, the WHERE clause is REGION = 'North America'. Therefore, the function call in Option B will return the desired result.



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