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NEW QUESTION: 1
Why did Branch1 router lose WAN connectivity with R1 router?
A. The PPP multilink group is misconfigured on the Eranch1 serial interfaces.
B. The IP address is misconfigured on PPP multilink interface on the Branch1 router.
C. The PPP multilink group is misconfigured on the R1 serial interfaces.
D. The Branch1 serial interfaces are placed in a shutdown condition.
Answer: B
NEW QUESTION: 2
HOTSPOT
You have a DHCP server named Server1 that runs Windows Server 2016.
You run Get-DhcpServerv4Scope, and you receive the following results.
You run Get-DhcpServerv4FilterList, and you receive the following results.
You run Get-DhcpServerv4Filter, and you receive the following results.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each selection is worth one point.
Hot Area:
Answer:
Explanation:
NEW QUESTION: 3
Ein Netzwerkadministrator sichert das drahtlose Netzwerk in einem Gebäude mit mehreren Mandanten. Das Netzwerk verwendet eine Passphrase für die Authentifizierung, sodass Gäste problemlos in das drahtlose Netzwerk aufgenommen werden können. Das Management möchte jedoch verhindern, dass Benutzer außerhalb des Büroraums auf das Netzwerk zugreifen. Welcher der folgenden Sicherheitsmechanismen würde BEST diese Anforderung erfüllen?
A. 802.1X
B. MAC-Filterung
C. Geofencing
D. WPA-PSK
Answer: C
NEW QUESTION: 4
Which of these are examples of a value in a sparse vector? (Select 2 answers.)
A. [0, 1]
B. [1, 0, 0, 0, 0, 0, 0]
C. [0, 5, 0, 0, 0, 0]
D. [0, 0, 0, 1, 0, 0, 1]
Answer: A,B
Explanation:
Explanation
Categorical features in linear models are typically translated into a sparse vector in which each possible value has a corresponding index or id. For example, if there are only three possible eye colors you can represent
'eye_color' as a length 3 vector: 'brown' would become [1, 0, 0], 'blue' would become [0, 1, 0] and 'green' would become [0, 0, 1]. These vectors are called "sparse" because they may be very long, with many zeros, when the set of possible values is very large (such as all English words).
[0, 0, 0, 1, 0, 0, 1] is not a sparse vector because it has two 1s in it. A sparse vector contains only a single 1.
[0, 5, 0, 0, 0, 0] is not a sparse vector because it has a 5 in it. Sparse vectors only contain 0s and 1s.
Reference: https://www.tensorflow.org/tutorials/linear#feature_columns_and_transformations