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NEW QUESTION: 1
You observe that the number of spilled records from map tasks for exceeds the number of map output records. You child heap size is 1 GB and your io.sort.mb value is set to 100MB. How would you tune your io.sort.mb value to achieve maximum memory to disk I/O ratio?
A. For 1GB child heap size an io.sort.mb of 128MB will always maximum memory to disk I/O.
B. Decrease the io.sort.mb value below 100M
C. Tune io.sort.mb value until you observe that the number of spilled records equals (or is as close to equals) the number of map output records.
D. Increase the IO.sort.mb as high you can, as close to 1GB as possible.
Answer: C
Explanation:
here are a few tradeoffs to consider.
1.the number of seeks being done when merging files. If you increase the merge factor too high,
then the seek cost on disk will exceed the savings from doing a parallel merge (note that OS
cache might mitigate this somewhat).
2.Increasing the sort factor decreases the amount of data in each partition. I believe the number is
io.sort.mb / io.sort.factor for each partition of sorted data. I believe the general rule of thumb is to
have io.sort.mb = 10 * io.sort.factor (this is based on the seek latency of the disk on the transfer
speed, I believe. I'm sure this could be tuned better if it was your bottleneck. If you keep these in
line with each other, then the seek overhead from merging should be minimized
3.you increase io.sort.mb, then you increase memory pressure on the cluster, leaving less
memory available for job tasks. Memory usage for sorting is mapper tasks * io.sort.mb -- so you
could find yourself causing extra GCs if this is too high
Essentially,
If you find yourself swapping heavily, then there's a good chance you have set the sort factor too
high.
If the ratio between io.sort.mb and io.sort.factor isn't correct, then you may need to change
io.sort.mb (if you have the memory) or lower the sort factor.
If you find that you are spending more time in your mappers than in your reducers, then you may
want to increase the number of map tasks and decrease the sort factor (assuming there is
memory pressure).
Reference:How could I tell if my hadoop config parameter io.sort.factor is too small or too big?
http://stackoverflow.com/questions/8642566/how-could-i-tell-if-my-hadoop-config-parameter-io-
sort-factor-is-too-small-or-to

NEW QUESTION: 2
The net present value of a proposed investment is negative; therefore, the discount rate used must be:
A. Less than the project's internal rate of return.
B. Greater than the firm's cost of equity.
C. Greater than the project's internal rate of return.
D. Less than the incremental borrowing rate.
Answer: C
Explanation:
Choice "a" is correct. If the NPV of a proposed investment is negative, the discount rate used must be
greater than the project's internal rate of return (IRR).
The IRR is the discount rate that results in a NPV of zero.
If a discount rate used is greater than the project's IRR, the present value of future cash inflows will be
lower resulting in a negative net present value.
If a discount rate used is less than the project's IRR, the present value of future cash inflows will be higher
resulting in a positive net present value.
Choices "b", "c", and "d" are incorrect, per the above discussion.

NEW QUESTION: 3
Drag and Drop the GIT commands from the left onto the right that add modified local files to a remote repository. Not all options are used

Answer:
Explanation:

Explanation
git add .
git commit -m "this is my edit"
git push

NEW QUESTION: 4
During the installation of a small VPLEX Metro, the command 'configuration continue-system-setup' is issued. What is accomplished by this command?
A. Witness configuration
B. Back-end array discovery
C. Host initiator discovery
D. Second cluster initial setup
Answer: B