1 / 5
The connector is configured to ___ data from the Kafka topic every minute.
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You ingest data. Ingest is the precise data-engineering collocation; the others are informal or incorrect. So ingest data.
2 / 5
The next stage in the pipeline will ___ records to match the warehouse schema.
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You transform records. Transform is the standard ETL collocation; the others are informal or too vague. So transform records.
3 / 5
After transformation, the job will ___ data to the warehouse in batch mode.
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You load data to the warehouse. Load is the precise ELT/ETL collocation; the others are informal or incorrect. So load to the warehouse.
4 / 5
Airflow is used to ___ pipelines that fan out across multiple Spark jobs.
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You orchestrate pipelines. Orchestrate is the precise data-engineering collocation; the others are too vague. So orchestrate pipelines.
5 / 5
When historical records are missing, we need to ___ data for the past 90 days.
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You backfill data. Backfill is the standard collocation for historical data re-ingestion; the others do not fit. So backfill data.