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Databricks-Certified-Professional-Data-Engineer Questions and Answers

Question # 1

A junior data engineer has configured a workload that posts the following JSON to the Databricks REST API endpoint 2.0/jobs/create.

Assuming that all configurations and referenced resources are available, which statement describes the result of executing this workload three times?

A.

Three new jobs named "Ingest new data" will be defined in the workspace, and they will each run once daily.

B.

The logic defined in the referenced notebook will be executed three times on new clusters with the configurations of the provided cluster ID.

C.

Three new jobs named "Ingest new data" will be defined in the workspace, but no jobs will be executed.

D.

One new job named "Ingest new data" will be defined in the workspace, but it will not be executed.

E.

The logic defined in the referenced notebook will be executed three times on the referenced existing all purpose cluster.

Question # 2

The data governance team is reviewing user for deleting records for compliance with GDPR. The following logic has been implemented to propagate deleted requests from the user_lookup table to the user aggregate table.

Assuming that user_id is a unique identifying key and that all users have requested deletion have been removed from the user_lookup table, which statement describes whether successfully executing the above logic guarantees that the records to be deleted from the user_aggregates table are no longer accessible and why?

A.

No: files containing deleted records may still be accessible with time travel until a BACUM command is used to remove invalidated data files.

B.

Yes: Delta Lake ACID guarantees provide assurance that the DELETE command successed fully and permanently purged these records.

C.

No: the change data feed only tracks inserts and updates not deleted records.

D.

No: the Delta Lake DELETE command only provides ACID guarantees when combined with the MERGE INTO command

Question # 3

The data engineer is using Spark's MEMORY_ONLY storage level.

Which indicators should the data engineer look for in the spark UI's Storage tab to signal that a cached table is not performing optimally?

A.

Size on Disk is> 0

B.

The number of Cached Partitions> the number of Spark Partitions

C.

The RDD Block Name included the '' annotation signaling failure to cache

D.

On Heap Memory Usage is within 75% of off Heap Memory usage

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Databricks Databricks-Certified-Professional-Data-Engineer Exam Dumps FAQs

The Databricks-Certified-Professional-Data-Engineer (DPE) exam is a certification designed to assess an individual's ability to perform advanced data engineering tasks using the Databricks platform.
The Databricks-Certified-Professional-Data-Engineer exam consists of multiple-choice and multiple-select questions. The exam is designed to test your knowledge and skills in data engineering on the Databricks platform.
The passing score for the Databricks-Certified-Professional-Data-Engineer exam is 70%.
The Databricks-Certified-Professional-Data-Engineer certification is valid for two years. After this period, you'll need to recertify by taking the current version of the exam to maintain your certified status.

The Databricks-Certified-Professional-Data-Engineer and Databricks-Certified-Data-Engineer-Associate certifications are designed for different levels of expertise and focus on different aspects of data engineering on the Databricks platform.

  • Databricks-Certified-Professional-Data-Engineer: The Databricks-Certified-Professional-Data-Engineer Certification Exam is aimed at professionals with at least one year of hands-on experience in data engineering using Databricks. It covers advanced topics such as building and optimizing ETL pipelines, data modeling, security and governance, monitoring and logging, and testing and deployment.
  • Databricks-Certified-Data-Engineer-Associate: The Databricks-Certified-Data-Engineer-Associate Certification Exam is designed for individuals who are new to data engineering or have a basic understanding of Databricks. It focuses on foundational concepts and skills, such as working with Delta tables, understanding DLT pipelines, and basic knowledge of Databricks tools.
Some effective tips include: understanding the exam objectives, practicing with Databricks-Certified-Professional-Data-Engineer sample questions, reviewing the Databricks-Certified-Professional-Data-Engineer study guides, taking timed practice exams, and staying updated with the latest exam changes.
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