Flashcards

Data Quality

Ensuring data is accurate and consistent

5 minutes 5 Questions

Data Quality in the context of Big Data Engineering refers to the reliability, accuracy, completeness, consistency, and timeliness of data within systems. It's a critical aspect that ensures data can be trusted for decision-making processes. Big Data Engineers must implement robust quality framewo…

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Big Data Engineer - Data Quality Example Questions

Test your knowledge of Data Quality

Question 1

What is Data Quality?

The process of generating data from scratch The process of visualizing data to make it easier to understand The process of storing data in a database The process of transferring data from one system to another A measure of the condition or state of data based on factors such as accuracy, completeness, consistency, reliability, and timeliness The process of securing data against unauthorized access

Correct Answer: A measure of the condition or state of data based on factors such as accuracy, completeness, consistency, reliability, and timeliness

Data quality is a measure of the condition or state of data based on factors such as accuracy, completeness, consistency, reliability, and timeliness.

Question 2

What is Data Profiling?

A process of examining the data available in order to provide statistics describing the quality of the data A process of deleting unused data elements to increase the system's storage capacity A process of debugging the data while in use in the production environment The process of converting data from one format to another A process of customizing data for business-specific use cases A process of encrypting data at rest and in transit

Correct Answer: A process of examining the data available in order to provide statistics describing the quality of the data

Data profiling is the process of examining the data available in order to provide statistical descriptions of the quality of the data.

Question 3

What is meant by data redundancy?

When the same data is stored in multiple locations or tables within a database, leading to duplication and wasted storage space. When data is missing key information or fields, leading to incomplete or inaccurate results. When data is not secured properly and is vulnerable to theft or hacking. When data is stored in a non-standard format, making it difficult to access or analyze. Data redundancy refers to the amount of data stored, whether or not it is duplicated. When data is stored on multiple servers or in different geographic locations.

Correct Answer: When the same data is stored in multiple locations or tables within a database, leading to duplication and wasted storage space.

Data redundancy occurs when the same data is stored in multiple places within a database, leading to duplication and wasted storage space. This can happen when data is not properly normalized or when tables are not adequately related to each other. Data redundancy can impact data quality by leading to inconsistencies or errors, and can also make it more difficult to maintain and update the database over time.

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