Step 1: Encode outcomes.
For each of the four sections there are two outcomes: Pass (P) or Fail (F). Hence the sample space of section-wise results has
\[
2^4=16
\]
possible patterns (think of 4-bit strings of P/F).
Step 2: Identify “qualifyâ€.
To qualify, the candidate must pass all sections simultaneously. There is \emph{exactly one} pattern that satisfies this: \(\text{PPPP}\).
Step 3: Count “failâ€.
Failing means “not all passes,†i.e., every pattern except PPPP. Thus
\[
\#\text{(fail patterns)}=16-1=15.
\]
(Check via Inclusion–Exclusion).
Let \(A_i\) be the event “fails section \(i\)â€. Then
\[
|\cup A_i|=\sum |A_i|-\sum|A_i\cap A_j|+\sum|A_i\cap A_j\cap A_k|-|A_1\cap A_2\cap A_3\cap A_4|.
\]
Each \(A_i\) fixes one F and leaves the other three sections free \(\Rightarrow |A_i|=2^3=8\).
Similarly, \(|A_i\cap A_j|=2^2=4\), \(|A_i\cap A_j\cap A_k|=2^1=2\), \(|A_1\cap A_2\cap A_3\cap A_4|=2^0=1\).
Therefore,
\[
\binom41\!8-\binom42\!4+\binom43\!2-\binom44\!1
=4\cdot8-6\cdot4+4\cdot2-1=32-24+8-1=15.
\]
This matches the complement count.
\[
\boxed{15}
\]