SnowPro Advanced: Data Engineer Certification Exam
Last Update: 26-Dec-2024
Questions: 65 Answers With Expert Explanation
Buy Now
SnowPro Advanced: Data Engineer Certification Exam
Last Update: 26-Dec-2024
Questions: 65
Buy Now
SnowPro Advanced: Data Engineer Certification Exam
Last Update: 26-Dec-2024
Questions: 65 Answers With Expert Explanation
Buy Now
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by Aolani on 30-Sep-2024
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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?
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?
A Data Engineer wants to create a new development database (DEV) as a clone of the permanent production database (PROD) There is a requirement to disable Fail-safe for all tables.
Which command will meet these requirements?
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