Data Quality

Ensuring data is accurate and consistent

Data Quality refers to the accuracy, consistency, completeness, and reliability of data. It is critical in ensuring that data is correct and useful for analysis and decision-making

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Big Data Engineer - Data Quality Example Questions

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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 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 The process of transferring data from one system to another

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

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?

Data redundancy refers to the amount of data stored, whether or not it is duplicated. When data is stored in a non-standard format, making it difficult to access or analyze. When the same data is stored in multiple locations or tables within a database, leading to duplication and wasted storage space. When data is stored on multiple servers or in different geographic locations. 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.

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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