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Snowflake Updated DEA-C01 Exam Questions and Answers by ettie

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Snowflake DEA-C01 Exam Overview :

Exam Name: SnowPro Advanced: Data Engineer Certification Exam
Exam Code: DEA-C01 Dumps
Vendor: Snowflake Certification: Snowflake Certification
Questions: 65 Q&A's Shared By: ettie
Question 8

A Data Engineer needs to load JSON output from some software into Snowflake using Snowpipe.

Which recommendations apply to this scenario? (Select THREE)

Options:

A.

Load large files (1 GB or larger)

B.

Ensure that data files are 100-250 MB (or larger) in size compressed

C.

Load a single huge array containing multiple records into a single table row

D.

Verify each value of each unique element stores a single native data type (string or number)

E.

Extract semi-structured data elements containing null values into relational columns before loading

F.

Create data files that are less than 100 MB and stage them in cloud storage at a sequence greater than once each minute

Discussion
Question 9

A Data Engineer is working on a continuous data pipeline which receives data from Amazon Kinesis Firehose and loads the data into a staging table which will later be used in the data transformation process The average file size is 300-500 MB.

The Engineer needs to ensure that Snowpipe is performant while minimizing costs.

How can this be achieved?

Options:

A.

Increase the size of the virtual warehouse used by Snowpipe.

B.

Split the files before loading them andset the SIZE_LIMIT option to 250 MB.

C.

Change the file compression size and increase the frequency of the Snowpipe loads

D.

Decrease the buffer size to trigger delivery of files sized between 100 to 250 MB in Kinesis Firehose

Discussion
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Question 10

A Data Engineer needs to know the details regarding the micro-partition layout for a table named invoice using a built-in function.

Which query will provide this information?

Options:

A.

SELECT SYSTEM$CLUSTERING_INTFORMATICII (‘Invoice' ) ;

B.

SELECT $CLUSTERXNG_INFQRMATION ('Invoice')'

C.

CALL SYSTEM$CLUSTERING_INFORMATION (‘Invoice’);

D.

CALL $CLUSTERINS_INFORMATION('Invoice’);

Discussion
Question 11

Assuming that the session parameter USE_CACHED_RESULT is set to false, what are characteristics of Snowflake virtual warehouses in terms of the use of Snowpark?

Options:

A.

Creating a DataFrame from a table will start a virtual warehouse

B.

Creating a DataFrame from a staged file with the read () method will start a virtual warehouse

C.

Transforming a DataFrame with methods like replace () will start a virtual warehouse -

D.

Calling a Snowpark stored procedure to query the database with session, call () will start a virtual warehouse

Discussion
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