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Exam Code: Data-Driven-Decision-Making Dumps

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NEW QUESTION: 1
You are implementing a new network. The network contains a DHCP server named DHCP1 that runs Windows Server 2016. DHCP1 contains a scope named Scope1 for the 192.168.0/24 subnet.
Your company has the following policy for allocating IP addresses:
* All server addresses must be excluded from DHCP scopes.
* All client computer must receive IP addresses from Scope1.
* All Windows servers must have IP addresses in the range of 192.168.0.200 to 192.168.0.240
* All other network devices must have IP addresses in the range of 192.168.0.180 to 192.168.0.199.
You deploy a print device named Print1.
You need to ensure that Print1 adheres to the policy for allocating IP addresses.
Which command should you use?
A. Add-DhcpServerv4Filter
B. Add-DhcpServerv4ExclusionRange
C. Add-DhcpServerv4Lease
D. Add-DhcpServerv4Reservation
Answer: B

NEW QUESTION: 2
HOTSPOT
You have a server named Server1 that runs Windows Server 2012 R2.
You need to switch Server1 to a Server Core installation of Windows Server 2012 R2.
What command should you run?
To answer, select the appropriate options in the answer area.

Answer:
Explanation:


NEW QUESTION: 3
自動機械学習を使用して回帰モデルをトレーニングする予定です。欠損値のある特徴と、明確な値がほとんどないカテゴリー特徴を持つデータがあります。
トレーニングタスクの一部として、欠損値を自動的に代入し、カテゴリカル機能をエンコードするように自動機械学習を構成する必要があります。
AutoMLConfigクラスで使用するパラメーターと値のペアはどれですか。
A. task = 'classification'
B. exclude_nan_labels = True
C. enable_voting_ensemble = True
D. enable_tf = True
E. featurization = 'auto'
Answer: E
Explanation:
Explanation
Featurization str or FeaturizationConfig
Values: 'auto' / 'off' / FeaturizationConfig
Indicator for whether featurization step should be done automatically or not, or whether customized featurization should be used.
Column type is automatically detected. Based on the detected column type preprocessing/featurization is done as follows:
Categorical: Target encoding, one hot encoding, drop high cardinality categories, impute missing values.
Numeric: Impute missing values, cluster distance, weight of evidence.
DateTime: Several features such as day, seconds, minutes, hours etc.
Text: Bag of words, pre-trained Word embedding, text target encoding.
Reference:
https://docs.microsoft.com/en-us/python/api/azureml-train-automl-client/azureml.train.automl.automlconfig.auto

NEW QUESTION: 4
Two routers are trying to establish an OSPFv3 adjacency over an Ethernet link, but the adjacency is not forming. Which two options are possible reasons that prevent OSPFv3 to form between these two routers?
(Choose two.)
A. mismatch of network types
B. mismatch of subnet masks
C. mismatch of authentication types
D. mismatch of area types
E. mismatch of instance IDs
Answer: D,E


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