Google Data Analytics Professional Certification Practice Test

What are the stages of the data life cycle?

1. Gather, analyze, execute

2. Plan, capture, store

3. Prepare, visualize, archive

4. Collect, process, share

The correct answer is: Plan, capture, store

The stages of the data life cycle encompass a comprehensive process that begins with the planning and capture of data, followed by its storage and use. Planning is essential as it lays the groundwork for what data needs to be collected and for what purpose, ensuring that the subsequent steps are aligned with the goals of the analysis or project. Capturing data involves gathering the necessary information through various methods, such as surveys, sensors, or existing records. Finally, storage is crucial for managing the collected data, allowing for efficient retrieval and processing as needed. This sequence highlights the foundational roles that planning, capturing, and storage play in the overall data life cycle, ensuring that data is not only accessible but also relevant and actionable. Understanding these stages is critical for data professionals aiming to manage data effectively throughout its lifecycle. It also underscores the importance of a structured approach to data management, which is vital for informed decision-making and analysis.