Databricks Certified Data Engineer Associate · Free Practice Question Easy
Question 41
- A A job that enriches data by parsing its timestamps into a human-readable format
- B A job that queries aggregated data designed to feed into a dashboard
- C A job that cleans data by removing malformatted records
- D A job that aggregates uncleaned data to create standard summary statistics
- E A job that ingests raw data from a streaming source into the Lakehouse
Reveal correct answer
Correct answer: B
Explanation
The job that queries aggregated data designed to feed into a dashboard is the correct choice because it directly aligns with the purpose of Gold tables in data architecture. Gold tables are the culmination of data processing efforts, containing data that has been meticulously cleaned, transformed, and aggregated. This level of readiness is essential for analytics and reporting, where the accuracy and integrity of data underpin critical business decisions. Such a job requires data that is primed for high-level analysis, embodying the characteristics of Gold tables: reliability, completeness, and analytical readiness. Unlike tasks focused on data preparation or ingestion, querying for dashboard insights demands the refined, quality-assured data found in Gold tables, making this job the ideal use case.A. Enriching data by parsing timestamps into a human-readable format does not necessarily require using a Gold table as its source. This type of job typically focuses on data transformation rather than querying aggregated data from a specific table.
B. A job that queries aggregated data designed to feed into a dashboard is likely to use a Gold table as its source. Gold tables typically contain clean, aggregated, and transformed data that is ready for reporting and visualization purposes, making them suitable sources for dashboard data.
C. Cleaning data by removing malformatted records is a data preparation task that does not specifically require using a Gold table as its source. This job focuses on data quality and cleansing rather than querying aggregated data from a specific table.
D. Aggregating uncleaned data to create standard summary statistics may not directly involve using a Gold table as its source. This job is more focused on data aggregation and analysis rather than querying pre-aggregated data from a specific table.
E. Ingesting raw data from a streaming source into the Lakehouse does not necessarily involve using a Gold table as its source. This job focuses on data ingestion and storage rather than querying pre-aggregated data from a specific table like a Gold table.
Discussion
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