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CERTIFIED-DATA-ENGINEER-PROFESSIONAL · Question #29

CERTIFIED-DATA-ENGINEER-PROFESSIONAL Question #29: Real Exam Question with Answer & Explanation

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Designing and Implementing Data Pipelines

Question

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?

Options

  • AThe Delta log and Structured Streaming checkpoints record the full history of the Kafka producer.
  • BDelta Lake schema evolution can retroactively calculate the correct value for newly added fields,
  • CDelta Lake automatically checks that all fields present in the source data are included in the
  • DData can never be permanently dropped or deleted from Delta Lake, so data loss is not possible
  • EIngestine all raw data and metadata from Kafka to a bronze Delta table creates a permanent,

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Topics

#Delta Lake#Data Reliability#Bronze Layer#Streaming Data
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