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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. 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.
B. Increase the IO.sort.mb as high you can, as close to 1GB as possible.
C. Decrease the io.sort.mb value below 100M
D. For 1GB child heap size an io.sort.mb of 128MB will always maximum memory to disk I/O.
Answer: A
Explanation:
Hereare a few tradeoffs to consider.
1.Thenumber 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.Youincrease 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-iosort-factor-is-too-small-or-to

NEW QUESTION: 2
Which of the following can provide assurance that an IT project has delivered its planned benefits?
A. User acceptance testing (UAT)
B. Quality assurance (QA) evaluation
C. Post-implementation review
D. Steering committee approval
Answer: C

NEW QUESTION: 3
Your network contains an Active Directory domain named contoso.com.
The domain contains three Active Directory sites.
The Active Directory sites are configured as shown in the following table.

The sites connect to each other by using the site links shown in the following table. Site link nameConnected sites

You need to design the Active Directory site topology to meet the following requirements:
-Ensure that all replication traffic between Site2 and Site3 replicates through Site1 if a domain controller in Site1 is available.
-Ensure that the domain controllers between Site2 and Site3 can replicate if all of the domain controllers in Site1 are unavailable.
What should you do?
A. Delete Link3.
B. Modify the cost of Link2.
C. Create one SMTP site link between Site1 and Site3. Create one SMTP site link between Site1 and Site2.
D. Create one site link bridge.
Answer: B