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NEW QUESTION: 1
Refer to the exhibit. What is the result of setting GLBP weighting at 105 with lower threshold 90 and upper threshold 100 on this router?

A. This configuration is incorrect and will not have any effect on GLBP operation.
B. If both tracked objects go down and then one comes up, but the other remains down, this router will be available as an AVF for group 1.
C. Only if the state of both tracked objects goes down will this router release its status as an AVF for group
1.
D. If the state of one tracked object goes down then this router will release its status as an AVF for group 1.
E. Only if both tracked objects are up will this router will be available as an AVF for group 1.
Answer: C

NEW QUESTION: 2
ある企業がvSphere 6.5でスナップショットテクノロジーを活用したいと考えています。
スナップショットの作成をサポートする構成はどれですか？
A. Windows Failover Cluster VM with RDM in physical mode
B. vSphere Fault Tolerance VM
C. SQL Always on Availability Group
D. Windows Failover Cluster VM with RDM in virtual mode
Answer: C
Explanation:
Snapshots are not supported for Physical RDMsSnapshots are supported for virtual RDMs, but not if they're configured in a cluster with shared disk. I'll assume the WSFC referred to in option A is indeed using shared disk.The article referenced by David states that SQL AGs are supported and they're not using shared disk.
A) Not Supported (https://kb.vmware.com/s/article/2147661)B) Not supported (https://docs.vmware.com/en/VMware-vSphere/6.5/com.vmware.vsphere.avail.doc/GUID-F5264795-11DA-4242-B774-8C3450997033.html)C) Not supported (https://kb.vmware.com/s/article/2147661)D) Supported (Haven't find anything saying that it's supported/unsupported. No shared storage involved, and it's documented also here: https://storagehub.vmware.com/t/vmware-vsan/microsoft-sql-server-on-vmware-vsan-day-2-operations-and-management/vm-level-snapshot-clone-alwayson-availability-groups-enabled-validation/. WFC can be upset by the freeze, but the failover timeout can be tweaked on the SQL AG to allow that) Despite snapshots of virtual RDM being supported (as per https://docs.vmware.com/en/VMware-vSphere/6.5/com.vmware.vsphere.storage.doc/GUID-0114693D-94BF-4D0E-9BA4-416D4A51A5A1.html), they are not when a WSFC is involved (according to this https://kb.vmware.com/s/article/2147661:"These activities are not supported and cause WSFC node failover: Increasing the size of disks, Hot adding memory, Hot adding CPU, Using snapshots, Pausing and/or resuming the virtual machine state, Memory over-commitment leading to virtual swapping or memory ballooning"and"In-guest clustering solutions that do not use a shared-disk configuration, such as SQL Mirroring, SQL Server Always On Availability Group (Non-shared Disk), and Exchange Database Availability Group (DAG), do not require explicit support statements from VMware")

NEW QUESTION: 3
To fully realize the value of the components that clients build, IBM provides tools to manage reuse of assets. Which tool would you use for this purpose?
A. Rational Asset Analyzer
B. Rational Automation Framework
C. Rational Focal Point.
D. Rational Asset Manager
Answer: D
Explanation:
Reference: http://publib.boulder.ibm.com/infocenter/ramhelp/v7r0m0/index.jsp?topic=%2Fcom.ibm.ram.doc% 2Ftopics%2Fc_ramintro.html (3rd para)

NEW QUESTION: 4
You plan to explore demographic data for home ownership in various cities. The data is in a CSV file with the following format:
age,city,income,home_owner
21,Chicago,50000,0
35,Seattle,120000,1
23,Seattle,65000,0
45,Seattle,130000,1
18,Chicago,48000,0
You need to run an experiment in your Azure Machine Learning workspace to explore the data and log the results. The experiment must log the following information:
the number of observations in the dataset
a box plot of income by home_owner
a dictionary containing the city names and the average income for each city You need to use the appropriate logging methods of the experiment's run object to log the required information.
How should you complete the code? To answer, drag the appropriate code segments to the correct locations. Each code segment may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: log
The number of observations in the dataset.
run.log(name, value, description='')
Scalar values: Log a numerical or string value to the run with the given name. Logging a metric to a run causes that metric to be stored in the run record in the experiment. You can log the same metric multiple times within a run, the result being considered a vector of that metric.
Example: run.log("accuracy", 0.95)
Box 2: log_image
A box plot of income by home_owner.
log_image Log an image to the run record. Use log_image to log a .PNG image file or a matplotlib plot to the run. These images will be visible and comparable in the run record.
Example: run.log_image("ROC", plot=plt)
Box 3: log_table
A dictionary containing the city names and the average income for each city.
log_table: Log a dictionary object to the run with the given name.