Certified Data Engineer Professional Exam

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Question 29

A new data engineer notices that a critical field was omitted from an application that writes its Kafka source to Delta Lake. This happened even though the critical field was in the Kafka source. That field was further missing from data written to dependent, long-term storage. The retention threshold on the Kafka service is seven days. The pipeline has been in production for three months.

Which describes how Delta Lake can help to avoid data loss of this nature in the future?

The Delta log and Structured Streaming checkpoints record the full history of the Kafka producer.

Delta Lake schema evolution can retroactively calculate the correct value for newly added fields, as long as the data was in the original source.

Delta Lake automatically checks that all fields present in the source data are included in the ingestion layer.

Data can never be permanently dropped or deleted from Delta Lake, so data loss is not possible under any circumstance.

Ingesting all raw data and metadata from Kafka to a bronze Delta table creates a permanent, replayable history of the data state.

Correct Answer: E

Ingesting all raw data and metadata from Kafka to a bronze Delta table creates a permanent, replayable history of the data state, ensuring that no critical data is lost even if it was omitted initially in the application writing process. This provides a safeguard allowing the recovery and inclusion of all necessary fields from the original source data.

Discussion

alexvnoOption: E

Looks good - E

imatheushenriqueOption: E

Medallion Architecture is named in E. (Ingesting all raw data and metadata from Kafka to a bronze Delta table creates a permanent, replayable history of the data state.)

ojudz08Option: E

E is correct

DAN_HOption: E

I think E is correct

kz_dataOption: E

I think E is correct