Data Engineering Fundamentals 1

Question 1

Three different types of data models are listed below, EXCEPT:

Accepted Answer

Schema Data Model

Answer

The three primary types of data models are Conceptual, Logical, and Physical. A Conceptual Data Model defines high-level business concepts, a Logical Data Model details entities and relationships without specific database technology, and a Physical Data Model describes how data is stored in a specific database system. 'Schema Data Model' is not a standard, distinct type in this widely accepted classification.

Question 2

The process of normalizing a data model is one of the steps in data modeling, particularly in...

Accepted Answer

Logical Data Model

Answer

Normalization is a crucial process primarily applied during the creation of a Logical Data Model. It involves organizing the columns and tables of a relational database to minimize data redundancy and improve data integrity. This step ensures the logical structure of the database is efficient, consistent, and adheres to best practices before moving to physical implementation.

Question 3

We need data engineers for a number of reasons, EXCEPT:

Accepted Answer

Various Capabilities

Answer

Data engineers are essential due to the complexities arising from various data formats (structured, unstructured), diverse data sources (databases, APIs, streaming), and a multitude of technologies (cloud platforms, big data tools). 'Various Capabilities' refers to the skills of the engineers themselves, not a reason for the *need* for engineers in the face of data challenges, which are driven by the data's characteristics and sources.

Question 4

Which of the following is NOT a part of the ETL / ELT process:

Accepted Answer

Export

Answer

ETL stands for Extract, Transform, Load, which are the three core phases of moving data from source systems to a data warehouse or data lake. 'Export' is not a standard component of the ETL/ELT acronym. While data might be exported at various stages in a broader data pipeline, it is not part of the fundamental definition of the ETL process itself.

Question 5

The following are components of the Data Pipeline in which Data Engineers play a significant role in:

Accepted Answer

Collect and Prepare Data

Answer

Data engineers play a significant role in the initial stages of the data pipeline, which involve collecting raw data from various sources and preparing it for analysis. This preparation includes cleaning, transforming, and structuring the data to make it usable for data scientists and analysts. Their expertise ensures data quality and accessibility for subsequent analytical processes.

Data Engineering Practice Test

Data Engineering Practice Test

Data Engineering Fundamentals 1