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Certified Data Engineer Associate Exam - Question 1


A data organization leader is upset about the data analysis team’s reports being different from the data engineering team’s reports. The leader believes the siloed nature of their organization’s data engineering and data analysis architectures is to blame.

Which of the following describes how a data lakehouse could alleviate this issue?

Show Answer
Correct Answer: B

A data lakehouse addresses the issue of siloed data by providing a centralized data repository that acts as a single source of truth. This repository unifies data storage and analysis, allowing both the data analysis and data engineering teams to work with the same consistent data sets. This helps in reducing discrepancies between the reports generated by both teams, thus enhancing data consistency and alignment.

Discussion

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prasiosoOption: B
May 12, 2023

Databricks Lakehouse enables using data as the single source of truth. Duplicating data often results in data silos in organizations. Correct answer B.

Data_4everOption: B
Apr 7, 2023

Unity Catalog in Databricks helps to eliminate Data Silos in an organization by having one single source of truth data.

vpraja03
Sep 6, 2023

There are 2 versions in Databricks Certified Data Engineer Associate, which version we need to pick for this exam ?

[Removed]Option: B
May 24, 2023

Correct letter B

james_donquixoteOption: B
Jun 20, 2023

Correct letter B

vctrhugoOption: B
Sep 3, 2023

B. Both teams would use the same source of truth for their work A data lakehouse is designed to unify the data engineering and data analysis architectures by integrating features of both data lakes and data warehouses. One of the key benefits of a data lakehouse is that it provides a common, centralized data repository (the "lake") that serves as a single source of truth for data storage and analysis. This allows both data engineering and data analysis teams to work with the same consistent data sets, reducing discrepancies and ensuring that the reports generated by both teams are based on the same underlying data. Option B addresses the issue of data consistency and alignment between the two teams, which is a common challenge in organizations with separate data engineering and data analysis architectures. By using the same source of truth, the data lakehouse helps alleviate this issue and promotes better collaboration and data integrity.

d_b47Option: B
Sep 25, 2023

Both teams would use the same source of truth for their work

KalavathiPOption: B
Sep 26, 2023

Correct ans B

oscar_nadieOption: B
Oct 3, 2023

Correct is B

VijayKulaOption: B
Oct 9, 2023

Correct is B

SerGreyOption: B
Dec 24, 2023

Correct is B

shyemkoOption: B
Jan 5, 2024

B is correct

ItmmaOption: B
Mar 19, 2024

B is correct

ItmmaOption: B
Mar 19, 2024

B is correct

bettermakemeOption: B
Apr 11, 2024

B is correct answer, I got 100%. all questions came from https://www.udemy.com/course/practice-exams-databricks-certified-data-engineer-associate-t/?couponCode=APR2024

poo_sanOption: A
May 22, 2024

B is correct

mascarenhaslucasOption: B
Jun 9, 2024

The answer is B!