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Snowflake (DEA-C01) Exam Questions PDF

DEA-C01 pdf
  • Exam Code: DEA-C01 Expired
  • Exam Name: SnowPro Advanced: Data Engineer Certification Exam
  • Updated: Oct 01, 2026
  • 302 Questions and Answers
  • PDF Price: $59.00  $29.5

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DEA-C01 Dumps Bundle Pack
  • Exam Code: DEA-C01 Expired
  • Exam Name: SnowPro Advanced: Data Engineer Certification Exam
  •    Updated: Oct 01, 2026
  • 302 Questions and Answers
  • PDF Version + Web Practice Test
  • 3 Months (Free Updates)
  • Value Pack Total: $99  $49.5

Snowflake (DEA-C01) Exam Practice Software

DEA-C01 Testing Engine
  • Exam Code: DEA-C01 Expired
  • Exam Name: SnowPro Advanced: Data Engineer Certification Exam
  •    Updated: Oct 01, 2026
  • 302 Questions and Answers
  • Practice Test Price: $59.00  $29.5
  • Try Demo

Snowflake DEA-C01 Exam Questions

SnowPro Advanced: Data Engineer Certification Exam exams.

Question - (Single Choise)
Streams cannot be created to query change data on which of the following objects? [Select All that Apply]
Choose the Choices:


Question - (Single Choise)
Tasks may optionally use table streams to provide a convenient way to continuously process new or changed dat a. A task can transform new or changed rows that a stream surfaces. Each time a task is scheduled to run, it can verify whether a stream contains change data for a table and either consume the change data or skip the current run if no change data exists. Which System Function can be used by Data engineer to verify whether a stream contains changed data for a table?
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Question - (Single Choise)
1. + - ------------------------------------------------------------- + 2. | SYSTEM$CLUSTERING_INFORMATION('SF_DATA', '(COL1, COL3)') | 3. | - ------------------------------------------------------------- | 4. | { | 5. | "cluster_by_keys" : "(COL1, COL3)", | 6. | "total_partition_count" : 1156, | 7. | "total_constant_partition_count" : 0, | 8. | "average_overlaps" : 117.5484, | 9. | "average_depth" : 64.0701, | 10. | "partition_depth_histogram" : { | 11. | "00000" : 0, | 12. | "00001" : 0, | 13. | "00002" : 3, | 14. | "00003" : 3, | 15. | "00004" : 4, | 16. | "00005" : 6, | 17. | "00006" : 3, | 18. | "00007" : 5, | 19. | "00008" : 10, | 20. | "00009" : 5, | 21. | "00010" : 7, | 22. | "00011" : 6, | 23. | "00012" : 8, | 24. | "00013" : 8, | 25. | "00014" : 9, | 26. | "00015" : 8, | 27. | "00016" : 6, | 28. | "00032" : 98, | 29. | "00064" : 269, | 30. | "00128" : 698 | 31. | } | 32. | } | 33. + - ------------------------------------------------------------- + The Above example indicates that the SF_DATA table is not well - clustered for which of following valid reasons?
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Question - (Single Choise)
Mark a Data Engineer, looking to implement streams on local views & want to use change tracking metadata for one of its Data Loading use case. Please select the incorrect understanding points of Mark with respect to usage of Streams on Views?
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Question - (Multiple Choices)
To advance the offset of a stream to the current table version without consuming the change data in a DML operation, which of the following operations can be done by Data Engineer? [Select 2]
Choose the Choices:


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