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Databricks-Certified-Professional-Data-Engineer pdf

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Last Update Apr 15, 2024
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Databricks Certified Data Engineer Professional Exam

Last Update Apr 15, 2024
Total Questions : 120

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Databricks Certified Data Engineer Professional Exam Questions and Answers

Questions 1

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.


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

Questions 2

An external object storage container has been mounted to the location /mnt/finance_eda_bucket.

The following logic was executed to create a database for the finance team:

After the database was successfully created and permissions configured, a member of the finance team runs the following code:

If all users on the finance team are members of the finance group, which statement describes how the tx_sales table will be created?



A logical table will persist the query plan to the Hive Metastore in the Databricks control plane.


An external table will be created in the storage container mounted to /mnt/finance eda bucket.


A logical table will persist the physical plan to the Hive Metastore in the Databricks control plane.


An managed table will be created in the storage container mounted to /mnt/finance eda bucket.


A managed table will be created in the DBFS root storage container.

Questions 3

Which distribution does Databricks support for installing custom Python code packages?














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