📝 IntServ service classes guaranteed controlled load (12 MCQs)
📖 From Data Communication and Networks • 30. Quality of Service • 12 questions available
What is IntServ service classes guaranteed controlled load?
Guaranteed and Controlled Load are the two primary IntServ service classes, where Guaranteed provides firm mathematical bounds on delay and loss for hard real-time applications, and Controlled Load offers best-effort-like service with high assurance of low loss and delay under varying loads.
📝 All IntServ service classes guaranteed controlled load MCQs
Q1. If a DCT transformation removes redundant data, what will happen to the last three values of the p matrix after the transformation?
📖 Explanation: In a DCT the redundancy is captured by the DC component, while the AC components that are linearly dependent on the DC remain unchanged. Consequently the three values that were redundant do not change after transformation, illustrating the redundancy‑removal property.
Q2. Which matrix is applied twice to perform a two‑dimensional DCT on a square image block?
📖 Explanation: The two‑dimensional DCT is achieved by applying the same orthogonal DCT matrix on rows and then on columns. This matrix, commonly denoted as T, is used twice—once on the left and once on the right—producing the transformed block.
Q3. Given source data and the transformed vector , which statement correctly explains why the first component of changed compared to a previous source vector with a different average?
📖 Explanation: The DC term of a DCT encodes the mean value of the input data. When the average of the source vector changes, the DC component (the first element of M) changes proportionally, while the AC components remain stable because they capture relative variations.
Q4. How does the computational complexity of a two‑dimensional DCT compare to applying a one‑dimensional DCT separately on rows and columns of an block?
📖 Explanation: A two‑dimensional DCT can be decomposed into a row‑wise 1‑D DCT followed by a column‑wise 1‑D DCT. Each pass costs O() operations, so the total cost is essentially two such passes, giving the same asymptotic complexity as performing the two 1‑D transforms separately.
Q5. When performing the inverse transformation, why must the T matrix be applied in reverse order compared to the forward DCT?
📖 Explanation: The forward DCT first transforms rows then columns ( ). To retrieve the original data, the column transformation must be undone first, followed by the row transformation, which is the reverse order of the forward process.
Q6. Assume the 2×2 DCT matrix . If the source block is , what is the element at position (1,2) of the transformed matrix ?
📖 Explanation: Carrying out the multiplication yields . The element in the first row, second column is therefore 4. This demonstrates how the DCT concentrates energy in the DC term while redistributing the remaining information into the AC coefficients.
Q7. If every element of the source vector is multiplied by a constant , how does the transformed vector produced by a DCT change?
📖 Explanation: The DCT is a linear transform; scaling the input by scales every output component by the same factor. Both the DC term (which reflects the mean) and the AC terms (which reflect variations) are proportionally affected, preserving the relative structure of the spectrum.
Q8. Suppose the correlation between the four elements of is altered, breaking the original linear relationship. Which of the following is most likely to occur in the transformed vector ?
📖 Explanation: When the elements of lose their linear dependence, the AC coefficients that previously remained constant begin to reflect the new variations. Consequently the three values that were previously invariant will now exhibit noticeable changes, indicating loss of redundancy.
Q9. To recover the original source matrix from a transformed matrix using the inverse DCT, which sequence of operations must be performed?
📖 Explanation: The inverse DCT uses the same orthogonal matrix because . To undo the forward operation , one premultiplies by and post‑multiplies by , yielding .
Q10. In the p matrix , which element(s) can be considered redundant based on their linear dependence, and why?
📖 Explanation: The DCT reveals that the three later values are highly correlated with the first; they can be approximated as scaled or shifted versions of the first element. This linear dependence means they carry little new information and are therefore redundant.
Q11. If the forward DCT uses the operation , what would be the result of mistakenly applying the matrices as instead?
📖 Explanation: For the DCT matrix, holds, making it symmetric and orthogonal. Swapping the order of and therefore yields the identical product, so the mistaken ordering does not alter the resulting transformed matrix.
Q12. When the very small positive or negative values in the p matrix are ignored before transformation, what is the most plausible effect on the reconstructed data after applying the inverse DCT?
📖 Explanation: Neglecting tiny coefficients discards only a minimal amount of signal energy. Since the DCT concentrates most energy in the larger coefficients, the inverse transform can still approximate the original data closely, resulting in a very small reconstruction error that is often imperceptible.