10.2.1.3. Predictive Analytics

Try these first

1. 1.

   What is predictive analytics?

   Hint

   Think about how we use data to see into the future.

2. 2.

   Why is fault coverage important?

   Hint

   Focus on the meaning of 'coverage' in testing.

3. 3.

   What does predictive analytics primarily focus on?

   • A) Historical Data Analysis
   • B) Future Market Trends
   • C) Consumer Behavior
   • D) Social Media Insights

   Hint

   Consider what the term 'predictive' implies.

4. 4.

   True or False: Predictive analytics can be used to improve fault coverage.

   • True
   • False

   Hint

   Recall the connection between prediction and fault identification.

5. 5.

   Given a dataset of historical failures in electronic systems, outline a predictive model to identify potential weaknesses in a new design.

   Hint

   Focus on the steps from data pattern recognition to practical application.

6. 6.

   Critically assess the impact of AI-driven predictive analytics on the efficiency of design processes in the electronics industry.

   Hint

   Consider both quantifiable and qualitative impacts in your assessment.