Data Visualisation-EC12-04

What is the main purpose of data visualization in enterprise computing?

• To increase data storage capacity
• To create complex algorithms
• To enhance data security
• The main purpose of data visualization is to simplify data interpretation and enhance decision-making.

Which of the following is NOT a commonly used data visualization tool?

• Google Data Studio
• Power BI
• Microsoft Word
• Tableau

How does data visualization support business intelligence (BI)?

• Data visualization is only useful for marketing purposes, not for BI.
• Data visualization complicates data analysis, making it harder to understand.
• By transforming raw data into meaningful insights

• Data visualization replaces the need for data analysis entirely.

Which of the following is a type of data visualization technique?

• SQL Query
  
  

• Bar chart
• CPU Processing

• API Integration

In enterprise computing, what does a real-time dashboard typically display?

• System error logs and alerts.
• Key performance indicators (KPIs) and metrics updated in real-time.
• User feedback and suggestions.
• Historical data trends and forecasts.

What is one major benefit of cloud-based data visualization tools?

• Increased data processing time.
• Limited data storage capacity.
• Higher costs for basic features.
• Real-time collaboration and accessibility from anywhere.

What type of chart is most effective for showing trends over time?

• Bar chart
• Pie chart
• Line chart
• Scatter plot

Which of the following is an example of how enterprises use data visualization in cybersecurity?

• Using spreadsheets to track employee attendance.
• Implementing firewalls to block unauthorized access.
• Conducting regular software updates for all applications.
• Creating dashboards to display real-time network traffic patterns to detect threats

What is a potential challenge when using data visualization in enterprise computing?

• Increased data storage costs due to visualization tools.
• Misinterpretation of data due to unclear visualizations.
• Faster decision-making processes with clear visualizations.
• Enhanced collaboration among teams using visual data.

Which of the following best describes a heatmap in data visualization?

• A heatmap uses only numerical values without color coding.
• A heatmap displays data in a three-dimensional format.
• A heatmap visually represents data values using colors in a matrix format.
• A heatmap is a type of chart that only shows trends over time.