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NEW QUESTION: 1

A. Option C
B. Option A
C. Option B
D. Option D
Answer: B

NEW QUESTION: 2
You have a computer that runs Windows 7. The computer's disk is configured as shown in the exhibit.
(Click the Exhibit button.)
You need to extend volume C.
What should you do first?
Exhibit:

A. Move the paging file from volume C to volume E.
B. Remove the crash dump from volume
C. Convert disk 0 to a dynamic disk.
D. Back up and delete volume D.
Answer: D
Explanation:
Explanation/Reference:
1065 20214
Extend a Basic Volume
You can add more space to existing primary partitions and logical drives by extending them into adjacent unallocated space on the same disk. To extend a basic volume, it must be raw or formatted with the NTFS file system. You can extend a logical drive within contiguous free space in the extended partition that contains it. If you extend a logical drive beyond the free space available in the extended partition, the extended partition grows to contain the logical drive.
For logical drives, boot, or system volumes, you can extend the volume only into contiguous space and only if the disk can be upgraded to a dynamic disk. For other volumes, you can extend the volume into noncontiguous space, but you will be prompted to convert the disk to dynamic.

NEW QUESTION: 3
Which files must be copied from IBM Tivoli Enterprise Portal Server to the IBM Tivoli Application Dependency Discovery Manager server for IBM Tivoli Monitoring Endpoint discovery?
A. TaddmWmi.dll, TaddmWmi.exe, TaddmWmi.pdb, cnp_vbjorball.jar
B. TaddmPortMap.exe, aports.dll, tap_cli.jar
C. browser.jar, cnp.jar, cnp_vbjorball.jar, kjrall.jar, util.jar, tap_cu.jar
D. TaddmWmi.dII, TaddmWmi.mof, TaddmWmi.exe, tap_cli jar
Answer: C

NEW QUESTION: 4
Which of the following are feature engineering techniques? (Select 2 answers)
A. Bucketization of a continuous feature
B. Hidden feature layers
C. Feature prioritization
D. Crossed feature columns
Answer: A,D
Explanation:
Selecting and crafting the right set of feature columns is key to learning an effective model.
Bucketization is a process of dividing the entire range of a continuous feature into a set of consecutive bins/buckets, and then converting the original numerical feature into a bucket ID (as a categorical feature) depending on which bucket that value falls into.
Using each base feature column separately may not be enough to explain the data. To learn the differences between different feature combinations, we can add crossed feature columns to the model.
Reference:
https://www.tensorflow.org/tutorials/wide#selecting_and_engineering_features_for_the_mo del