FREE UPDATES FOR DATABRICKS DATABRICKS-CERTIFIED-PROFESSIONAL-DATA-ENGINEER PDF QUESTIONS

Free Updates For Databricks Databricks-Certified-Professional-Data-Engineer PDF Questions

Free Updates For Databricks Databricks-Certified-Professional-Data-Engineer PDF Questions

Blog Article

Tags: Databricks-Certified-Professional-Data-Engineer Complete Exam Dumps, Databricks-Certified-Professional-Data-Engineer Best Study Material, Databricks-Certified-Professional-Data-Engineer Reasonable Exam Price, Databricks-Certified-Professional-Data-Engineer Dumps Torrent, Downloadable Databricks-Certified-Professional-Data-Engineer PDF

The Databricks Databricks-Certified-Professional-Data-Engineer exam questions are designed and verified by experienced and qualified Databricks Databricks-Certified-Professional-Data-Engineer exam trainers. So you rest assured that with Databricks Certified Professional Data Engineer Exam (Databricks-Certified-Professional-Data-Engineer) exam dumps you can streamline your Databricks-Certified-Professional-Data-Engineer exam preparation process and get confidence to pass Databricks Certified Professional Data Engineer Exam (Databricks-Certified-Professional-Data-Engineer) exam in first attempt.

The Databricks Databricks-Certified-Professional-Data-Engineer certification exam also enables you to stay updated and competitive in the market which will help you to gain more career opportunities. Do you want to gain all these Databricks-Certified-Professional-Data-Engineer certification exam benefits? Looking for the quick and complete Databricks Certified Professional Data Engineer Exam (Databricks-Certified-Professional-Data-Engineer) exam dumps preparation way that enables you to pass the Databricks Certified Professional Data Engineer Exam in Databricks-Certified-Professional-Data-Engineer certification exam with good scores?

>> Databricks-Certified-Professional-Data-Engineer Complete Exam Dumps <<

Databricks-Certified-Professional-Data-Engineer Best Study Material | Databricks-Certified-Professional-Data-Engineer Reasonable Exam Price

Each of us expects to have a well-paid job, with their own hands to fight their own future. But many people are not confident, because they lack the ability to stand out among many competitors. Now, our Databricks-Certified-Professional-Data-Engineer learning material can help you. It can let users in the shortest possible time to master the most important test difficulties, improve learning efficiency. Also, by studying hard, passing a qualifying examination and obtaining a Databricks certificate is no longer a dream. With these conditions, you will be able to stand out from the interview and get the job you've been waiting for.

Databricks Certified Professional Data Engineer certification exam is designed to test the knowledge and skills of data engineers who work with Databricks. Databricks is a cloud-based platform that provides a unified analytics engine for big data processing and machine learning. It is used by data engineers to manage data pipelines, extract insights from data, and build machine learning models. Databricks Certified Professional Data Engineer Exam certification exam is a comprehensive assessment of the candidate's ability to use Databricks effectively for data engineering tasks.

Databricks Certified Professional Data Engineer Exam Sample Questions (Q49-Q54):

NEW QUESTION # 49
A Delta Lake table representing metadata about content posts from users has the following schema:
user_id LONG, post_text STRING, post_id STRING, longitude FLOAT, latitude FLOAT, post_time TIMESTAMP, date DATE This table is partitioned by the date column. A query is run with the following filter:
longitude < 20 & longitude > -20
Which statement describes how data will be filtered?

  • A. No file skipping will occur because the optimizer does not know the relationship between the partition column and the longitude.
  • B. Statistics in the Delta Log will be used to identify partitions that might Include files in the filtered range.
  • C. Statistics in the Delta Log will be used to identify data files that might include records in the filtered range.
  • D. The Delta Engine will use row-level statistics in the transaction log to identify the flies that meet the filter criteria.
  • E. The Delta Engine will scan the parquet file footers to identify each row that meets the filter criteria.

Answer: C

Explanation:
This is the correct answer because it describes how data will be filtered when a query is run with the following filter: longitude < 20 & longitude > -20. The query is run on a Delta Lake table that has the following schema: user_id LONG, post_text STRING, post_id STRING, longitude FLOAT, latitude FLOAT, post_time TIMESTAMP, date DATE. This table is partitioned by the date column. When a query is run on a partitioned Delta Lake table, Delta Lake uses statistics in the Delta Log to identify data files that might include records in the filtered range. The statistics include information such as min and max values for each column in each data file. By using these statistics, Delta Lake can skip reading data files that do not match the filter condition, which can improve query performance and reduce I/O costs. Verified References: [Databricks Certified Data Engineer Professional], under "Delta Lake" section; Databricks Documentation, under "Data skipping" section.


NEW QUESTION # 50
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?

  • A. Ingestine all raw data and metadata from Kafka to a bronze Delta table creates a permanent, replayable history of the data state.
  • B. Delta Lake schema evolution can retroactively calculate the correct value for newly added fields, as long as the data was in the original source.
  • C. Data can never be permanently dropped or deleted from Delta Lake, so data loss is not possible under any circumstance.
  • D. The Delta log and Structured Streaming checkpoints record the full history of the Kafka producer.
  • E. Delta Lake automatically checks that all fields present in the source data are included in the ingestion layer.

Answer: A

Explanation:
This is the correct answer because it describes how Delta Lake can help to avoid data loss of this nature in the future. By ingesting all raw data and metadata from Kafka to a bronze Delta table, Delta Lake creates a permanent, replayable history of the data state that can be used for recovery or reprocessing in case of errors or omissions in downstream applications or pipelines. Delta Lake also supports schema evolution, which allows adding new columns to existing tables without affecting existing queries or pipelines. Therefore, if a critical field was omitted from an application that writes its Kafka source to Delta Lake, it can be easily added later and the data can be reprocessed from the bronze table without losing any information. Verified Reference: [Databricks Certified Data Engineer Professional], under "Delta Lake" section; Databricks Documentation, under "Delta Lake core features" section.


NEW QUESTION # 51
The data governance team is reviewing code used for deleting records for compliance with GDPR. They note the following logic is used to delete records from the Delta Lake table namedusers.

Assuming thatuser_idis a unique identifying key and thatdelete_requestscontains all users that have requested deletion, which statement describes whether successfully executing the above logic guarantees that the records to be deleted are no longer accessible and why?

  • A. No; the Delta cache may return records from previous versions of the table until the cluster is restarted.
  • B. No; the Delta Lake delete command only provides ACID guarantees when combined with the merge into command.
  • C. Yes; the Delta cache immediately updates to reflect the latest data files recorded to disk.
  • D. No; files containing deleted records may still be accessible with time travel until a vacuum command is used to remove invalidated data files.
  • E. Yes; Delta Lake ACID guarantees provide assurance that the delete command succeeded fully and permanently purged these records.

Answer: D

Explanation:
The code uses the DELETE FROM command to delete records from the users table that match a condition based on a join with another table called delete_requests, which contains all users that have requested deletion.
The DELETE FROM command deletes records from a Delta Lake table by creating a new version of the table that does not contain the deleted records. However, this does not guarantee that the records to be deleted are no longer accessible, because Delta Lake supports time travel, which allows querying previous versions of the table using a timestamp or version number. Therefore, files containing deleted records may still be accessible with time travel until a vacuum command is used to remove invalidated data files from physical storage.
Verified References: [Databricks Certified Data Engineer Professional], under "Delta Lake" section; Databricks Documentation, under "Delete from a table" section; Databricks Documentation, under "Remove files no longer referenced by a Delta table" section.


NEW QUESTION # 52
Which of the following SQL keywords can be used to append new rows to an existing Delta table?

  • A. UNION
  • B. UPDATE
  • C. COPY
  • D. DELETE
  • E. INSERT INTO

Answer: E


NEW QUESTION # 53
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?

  • A. Ingestine all raw data and metadata from Kafka to a bronze Delta table creates a permanent, replayable history of the data state.
  • B. Delta Lake schema evolution can retroactively calculate the correct value for newly added fields, as long as the data was in the original source.
  • C. Data can never be permanently dropped or deleted from Delta Lake, so data loss is not possible under any circumstance.
  • D. The Delta log and Structured Streaming checkpoints record the full history of the Kafka producer.
  • E. Delta Lake automatically checks that all fields present in the source data are included in the ingestion layer.

Answer: A

Explanation:
Explanation
This is the correct answer because it describes how Delta Lake can help to avoid data loss of this nature in the future. By ingesting all raw data and metadata from Kafka to a bronze Delta table, Delta Lake creates a permanent, replayable history of the data state that can be used for recovery or reprocessing in case of errors or omissions in downstream applications or pipelines. Delta Lake also supports schema evolution, which allows adding new columns to existing tables without affecting existing queries or pipelines. Therefore, if a critical field was omitted from an application that writes its Kafka source to Delta Lake, it can be easily added later and the data can be reprocessed from the bronze table without losing any information. Verified References:
[Databricks Certified Data Engineer Professional], under "Delta Lake" section; Databricks Documentation, under "Delta Lake core features" section.


NEW QUESTION # 54
......

This professionally designed desktop practice exam software is customizable, which helps you to adjust timings and questions of the mock tests. This feature of Windows-based Databricks Certified Professional Data Engineer Exam software helps you improve time-management abilities and weak areas of the test preparation. We regularly upgrade this Databricks Databricks-Certified-Professional-Data-Engineer Practice Exam software after receiving valuable feedback from experts worldwide.

Databricks-Certified-Professional-Data-Engineer Best Study Material: https://www.pass4guide.com/Databricks-Certified-Professional-Data-Engineer-exam-guide-torrent.html

Report this page