Answer:
1. 2588672 bits
2. 4308992 bits
3. The larger the data size of the cache, the larger the area of memory you will need to "search" making the access time and performance slower than the a cache with a smaller data size.
Explanation:
1. Number of bits in the first cache
Using the formula: (2^index bits) * (valid bits + tag bits + (data bits * 2^offset bits))
total bits = 2^15 (1+14+(32*2^1)) = 2588672 bits
2. Number of bits in the Cache with 16 word blocks
Using the formula: (2^index bits) * (valid bits + tag bits + (data bits * 2^offset bits))
total bits = 2^13(1 +13+(32*2^4)) = 4308992 bits
3. Caches are used to help achieve good performance with slow main memories. However, due to architectural limitations of cache, larger data size of cache are not as effective than the smaller data size. A larger cache will have a lower miss rate and a higher delay. The larger the data size of the cache, the larger the area of memory you will need to "search" making the access time and performance slower than the a cache with a smaller data size.
Answer:
A. ASC
Explanation:
In Oracle11 g ORDER BY clause is used to sort data andit is also used in mysql ,ms access.Though we not to mention ASC to sort in increasing order because by default it sorts the data in ascending order if we do not mention ASC or DESC.To sort in descending order we have to mention DESC.
So the correct answer to this question is ASC.
Answer:
Blind.
Explanation:
In a blind experiment, information that can affect the participant's decision after the experiment is not told or we can say blinded until the experiment is over. Good blinding can eliminate experimental biases . A blind can be imposed on any participant.So in the question we conclude that it is blind experimental design.
For 1.
Positive correlation means if you plot a country's population and land size on a graph. There would be a linear regression line that's sloping upwards.
Since it's a scatterplot, there will be some that fall out of the line, but most of them should be on the line.
It's (A)
For 2.
An outlier is a datapoint that's far, FAR away from the others, so it's (B)
For 3. (A), it's a single line-of-best fit that runs through the middle of the cluster of data points.