Exam DP-900 topic 1 question 60 discussion

DATA ENGINEER: Data engineers manage infrastructure and processes for data integration across the organization, applying data cleaning routines, identifying data governance RULES, and implementing pipelines to transfer and transform data between systems.

Data Analyst analyzes numeric data and uses it to help companies make better decisions. Data Engineer involves in preparing data. They develop, constructs, tests & maintain complete architecture. A data scientist analyzes and interpret complex data. Source: Google

Data Engineers (B): While they focus on building and maintaining data infrastructure, they may also ensure that the data pipelines adhere to business rules. Data Scientists ©: They apply advanced analytical techniques and may develop models that incorporate business rules, but their primary focus is on extracting insights and making predictions.

It should be Data Analyst.. that's the role of DA

I think, the answer is correct. key job roles that deal with data in most organizations are: • Database administrators manage databases, assigning permissions to users, storing backup copies of data and restore data in the event of a failure. • Data engineers manage infrastructure and processes for data integration across the organization, applying data cleaning routines, identifying data governance rules, and implementing pipelines to transfer and transform data between systems. • Data analysts explore and analyze data to create visualizations and charts that enable organizations to make informed decisions. processes raw data into relevant insights based on identified business requirements to deliver relevant insights.

By ChatGPT4o: A Data Analyst is responsible for identifying which business rules must be applied to the data of a company. Explanation: Data Engineer: Primarily focuses on designing, building, and maintaining the infrastructure and architecture for data generation, storage, and processing. They ensure that data pipelines are reliable and efficient but typically do not define business rules. Data Analyst: Works closely with business stakeholders to understand their requirements and translate them into data-related tasks. They are responsible for analyzing data, identifying business rules, and ensuring that data is processed in a way that aligns with business needs. Data Scientist: Uses statistical methods, algorithms, and machine learning to extract insights and build predictive models from data. While they may apply business rules in their analysis, defining these rules is generally not their primary responsibility.

In my practice Data Engineer (DE) never identifies rules, DE implements requirements provided by Business/Data Analyst (BA/DA). Identification of rules by communicating with Business should be a task of BA/DA.

DATA ENGINEER

I am divided. The question should either state governance rules or business requirements. Instead we are left to guess if requirement can be understood as business rules. Also governance rules usually is about standards that need to be met and compliance. To me at least.

A data analyst processes raw data into relevant insights based on identified business requirements to deliver relevant insights.

Very tricky as both roles can do it. But I choose Data Engineer as well, since he is the first in the chain on getting in touch with data and treating it (cleaning, dedupping, etc.).

yes correct

Tricky question as it depends on the contextual interpretation the term 'Business Rules' Here's ChatGPT response "business rules relate to data quality in at least two fundamental ways. First, they can automate the decisions that the company makes in its day-to-day operations. Second, they can be used to audit data produced by existing processes for compliance with external regulation as well as internal business policies and goals." Both these sound to be the responsibility of the Data Analyst.

This question appeared in the 07/07/23 exam and the answer is correct.

Was on exam 24/6/2023

Data Engineer is correct A data engineer collaborates with stakeholders to design and implement data-related workloads, including data ingestion pipelines, cleansing and transformation activities, and data stores for analytical workloads https://learn.microsoft.com/en-us/training/modules/explore-roles-responsibilities-world-of-data/2-explore-job-roles

A data analyst | as per chat gpt