Snowflake DEA-C01 Exam Dumps

A Data Engineer has created table t1 with datatype VARIANT:

create or replace table t1 (cl variant);

The Engineer has loaded the following JSON data set. which has information about 4 laptop models into the table:

The Engineer now wants to query that data set so that results are shown as normal structured dat

a. The result should be 4 rows and 4 columns without the double quotes surrounding the data elements in the JSON data.

The result should be similar to the use case where the data was selected from a normal relational table z2 where t2 has string data type columns model__id. model, manufacturer, and =iccisi_r.an=. and is queried with the SQL clause select * from t2;

Which select command will produce the correct results?

A)

B)

C)

D)

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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)

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Which methods can be used to create a DataFrame object in Snowpark? (Select THREE)

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A Data Engineer is building a pipeline to transform a 1 TD tab e by joining it with supplemental tables The Engineer is applying filters and several aggregations leveraging Common Table Expressions (CTEs) using a size Medium virtual warehouse in a single query in Snowflake.

After checking the Query Profile, what is the recommended approach to MAXIMIZE performance of this query if the Profile shows data spillage?

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A company built a sales reporting system with Python, connecting to Snowflake using the Python Connector. Based on the user's selections, the system generates the SQL queries needed to fetch the data for the report First it gets the customers that meet the given query parameters (on average 1000 customer records for each report run) and then it loops the customer records sequentially Inside that loop it runs the generated SQL clause for the current customer to get the detailed data for that customer number from the sales data table

When the Data Engineer tested the individual SQL clauses they were fast enough (1 second to get the customers 0 5 second to get the sales data for one customer) but the total runtime of the report is too long

How can this situation be improved?

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