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NEW QUESTION 23
A data engineer is overwriting data in a table by deleting the table and recreating the table. Another data
engineer suggests that this is inefficient and the table should simply be overwritten instead.
Which of the following reasons to overwrite the table instead of deleting and recreating the table is incorrect?

A. Overwriting a table results in a clean table history for logging and audit purposesB. Overwriting a table maintains the old version of the table for Time TravelC. Overwriting a table is efficient because no files need to be deletedD. Overwriting a table is an atomic operation and will not leave the table in an unfinished stateE. Overwriting a table allows for concurrent queries to be completed while in progress

Answer: A

 

NEW QUESTION 24
A data analyst has provided a data engineering team with the following Spark SQL query:
1.SELECT district,
2.avg(sales)
3.FROM store_sales_20220101
4.GROUP BY district;
The data analyst would like the data engineering team to run this query every day. The date at the end of the
table name (20220101) should automatically be replaced with the current date each time the query is run.
Which of the following approaches could be used by the data engineering team to efficiently auto-mate this
process?

A. They could replace the string-formatted date in the table with a timestamp-formatted dateB. They could request that the data analyst rewrites the query to be run less frequentlyC. They could wrap the query using PySpark and use Python's string variable system to automatically
update the table nameD. They could pass the table into PySpark and develop a robustly tested module on the existing queryE. They could manually replace the date within the table name with the current day's date

Answer: C

 

NEW QUESTION 25
Which of the following data workloads will utilize a Silver table as its source?

A. A job that aggregates cleaned data to create standard summary statisticsB. A job that cleans data by removing malformatted recordsC. A job that ingests raw data from a streaming source into the LakehouseD. A job that queries aggregated data that already feeds into a dashboardE. A job that enriches data by parsing its timestamps into a human-readable format

Answer: A

 

NEW QUESTION 26
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