Cost vs complexity trade-off in PCB Design - Practice Questions

Challenge - 5 Problems

🧠 Conceptual

intermediate

Understanding Cost Drivers in PCB Design

Which factor most directly increases the cost in a PCB design project?

A Reducing the board size to minimum dimensions

B Using a simpler schematic with fewer components

C Increasing the number of layers in the PCB

D Choosing standard off-the-shelf components

💡 Hint

Think about what adds complexity to manufacturing.

More layers mean more manufacturing steps and materials, which raises cost.

🎯 Scenario

intermediate

Choosing Between Cost and Complexity

You need to design a PCB for a simple sensor device. Which choice best balances cost and complexity?

A Use a 2-layer board with standard components meeting current needs

B Use a 6-layer board with advanced components for future-proofing

C Use a 4-layer board but with very expensive custom parts

D Use a single-layer board but add many manual wiring jumpers

💡 Hint

Focus on meeting current needs without unnecessary complexity.

A 2-layer board with standard components keeps cost low and complexity manageable for a simple device.

❓ dax_lod_result

advanced

Calculating Average Cost per Complexity Level

Given a dataset with PCB designs, each having a 'ComplexityLevel' (Low, Medium, High) and 'Cost', which DAX measure correctly calculates the average cost for each complexity level ignoring filters on other columns?

A AverageCostByComplexity = CALCULATE(SUM(Designs[Cost]) / COUNTROWS(Designs), ALL(Designs))

B AverageCostByComplexity = AVERAGE(Designs[Cost])

C AverageCostByComplexity = CALCULATE(AVERAGE(Designs[Cost]), ALL(Designs[ComplexityLevel]))

D AverageCostByComplexity = CALCULATE(AVERAGE(Designs[Cost]), ALLEXCEPT(Designs, Designs[ComplexityLevel]))

💡 Hint

Use ALLEXCEPT to keep only ComplexityLevel filter active.

ALLEXCEPT removes all filters except the one on ComplexityLevel, so average cost is calculated per complexity level.

❓ visualization

advanced

Best Visualization for Cost vs Complexity

Which visualization best shows the trade-off between PCB design cost and complexity levels across multiple projects?

A Scatter plot with Complexity on X-axis and Cost on Y-axis, points sized by number of components

B Pie chart showing percentage of projects by complexity level

C Stacked bar chart showing total cost per complexity level stacked by project type

D Line chart showing cost over time for a single project

💡 Hint

Look for a chart that shows relationship between two numeric variables.

A scatter plot clearly shows how cost varies with complexity and allows comparison across projects.

🔧 Formula Fix

expert

Debugging a Cost Calculation Error

A DAX measure intended to calculate total cost per complexity level is returning the same total for all levels. Which option explains the likely cause?

PCB Design

TotalCostByComplexity = CALCULATE(SUM(Designs[Cost]), ALL(Designs))

A The SUM function is incorrect and should be AVERAGE

B The ALL function removes all filters including ComplexityLevel, causing the same total for all levels

C The CALCULATE function is missing a FILTER clause for ComplexityLevel

D The measure should use ALLEXCEPT instead of ALL to keep ComplexityLevel filter

💡 Hint

Consider what ALL does to filters inside CALCULATE.

ALL removes all filters, so the measure sums cost over all data ignoring complexity levels.