The point estimate of the mean is the sample mean. This value is already given: 34.12 cm.
In order to construct a 95% confidence interval for the mean, first let's calculate the value of z that corresponds to the value of alpha below:

Looking at the z-table, the z-scores for a percentage of 2.5% and 97.5% are -1.96 and 1.96.
Now, let's use these values in the formula below to calculate the boundaries of the confidence interval:

Therefore the confidence interval is [33.66, 34.58].