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DEA-C01 Dumps - SnowPro Advanced: Data Engineer Certification Exam Practice Exam Questions

Snowflake DEA-C01 - SnowPro Advanced Certification Practice Exam

  • Certification Provider:Snowflake
  • Exam Code:DEA-C01
  • Exam Name:SnowPro Advanced: Data Engineer Certification Exam Exam
  • Total Questions:65 Questions and Answers
  • Updated on:Nov 23, 2024
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Snowflake DEA-C01 This Week Result

DEA-C01 Question and Answers

Question # 1

If external software i.e. TIBCO, exports Data fields enclosed in quotes but inserts a leading space before the opening quotation character for each field, How Snowflake handle it? [Select 2]

Options:

A.  

Snowflake automatically handles leading spaces by trimming implicitly & removes the quotation marks enclosing each field.

B.  

field_optionally_enclosed_by option along with TRIM_IF function in COPY INTO statement can be used to handle this scenario successfully.

C.  

Snowflake reads the leading space rather than the opening quotation character as the beginning of the field and the quotation characters are interpreted as string data.

(Correct)

D.  

COPY command trims the leading space and removes the quotation marks enclosing each field

1.copy into SFtable

2.from @%SFtable

3.file_format = (type = csv trim_space=true field_optionally_enclosed_by = '0x22');

Discussion 0
Question # 2

Pascal, a Data Engineer, have requirement to retrieve the 10 most recent executions of a specified task (completed, still running, or scheduled in the future) scheduled within the last hour, which of the following is the correct SQL Code ?

Options:

A.  

1.select *

2.from table(information_schema.task_history(

3.scheduled_time_range_start=>dateadd('hour',-1,current_timestamp()),

4.result_limit => 10,

5.task_name=>'MYTASK') WHERE query_id IS NOT NULL);

B.  

1.select *

2.from table(information_schema.task_history(

3.scheduled_time_range_start=>dateadd('hour',-1,current_timestamp()),

4.result_limit => 11,

5.task_name=>'MYTASK') WHERE query_id IS NOT NULL);

C.  

1.select *

2.from table(information_schema.task_history(

3.scheduled_time_range_start=>dateadd('hour',-1,current_timestamp()),

4.result_limit => 10,query_id IS NOT NULL

5.task_name=>'MYTASK'));

D.  

1.select *

2.from table(information_schema.task_history(

3.scheduled_time_range_start=>dateadd('hour',-1,current_timestamp()),

4.result_limit => 10,

5.task_name=>'MYTASK'));

Discussion 0
Question # 3

A SQL UDF evaluates an arbitrary SQL expression and returns the result(s) of the expression. Which value type it can returns?

Options:

A.  

Single Value

B.  

A Set of Rows

C.  

Scaler or Tabular depend on input SQL expression

D.  

Regex

Discussion 0

PDF vs Software Version

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DEA-C01 FAQs

This exam validates your ability to apply advanced data engineering concepts using Snowflake.

It focuses on experienced data engineers with hands-on experience building data solutions on Snowflake.

Snowflake recommends having at least 2 years of experience working with Snowflake in a practical setting, along with a strong foundation in data engineering principles.

The exam covers various areas including data movement (loading, ingesting, transforming), designing data pipelines (including real-time pipelines), data sharing solutions, and designing scalable compute solutions for data engineering tasks.

Snowflake uses a scaled scoring system with a minimum passing score of 750.

The registration fee for the SnowPro Advanced: Data Engineer Certification is $375 USD.

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