You run a stress simulation on a mechanical part in SolidWorks. The simulation shows a maximum von Mises stress of 250 MPa in a small corner region. The material yield strength is 300 MPa. What is the best interpretation of this result?
Compare the maximum stress to the material's yield strength to assess safety.
If the maximum stress is below the yield strength, the part is expected to be safe under the simulated load. Stress concentrations in corners are common and do not invalidate the simulation.
You have a table of simulation runs with columns: RunID, DurationSeconds, and Status. You want to calculate the average duration of only completed runs using DAX. Which measure correctly calculates this?
Use CALCULATE to filter rows before averaging.
Option C uses CALCULATE with a filter condition to average only completed runs. Option C averages all runs. Option C is invalid syntax. Option C averages all runs without filtering.
You want to compare maximum stress results from multiple simulation scenarios side by side. Which visualization type best shows this comparison clearly?
Choose a chart that compares values across categories clearly.
A clustered bar chart clearly compares maximum stress values across different scenarios side by side. Stacked area and pie charts are less suitable for direct value comparison. Scatter plot is less intuitive here.
Your BI report shows incorrect total simulation run counts. The data model has two tables: Runs and Results. Runs has unique RunID, Results has multiple entries per RunID for different steps. You want to count unique runs. Which DAX measure correctly counts unique runs from Results?
Count unique RunIDs, not total rows.
COUNT counts non-blank values but not unique. COUNTROWS counts all rows. SUMX sums 1 for each row (same as COUNTROWS). DISTINCTCOUNT counts unique RunIDs correctly.
In a simulation report, you see that the maximum stress value has a confidence interval of ±15%. How should you interpret this uncertainty when making design decisions?
Think about safety margins and uncertainty in engineering.
A confidence interval means the true value may vary within that range. To be safe, use the upper bound of the interval for design decisions. The other options misunderstand the meaning of uncertainty.
