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NEW QUESTION: 1
会社の売掛金、買掛金、小売業務のアドレス帳を構成しています。
さまざまな要件を満たすために、適切なアドレス帳を構成する必要があります。
各シナリオでどのアドレス帳を使用する必要がありますか？答えるには、適切なアドレス帳オブジェクトを正しいシナリオにドラッグします。各アドレス帳オブジェクトは、1回、複数回使用することも、まったく使用しないこともできます。コンテンツを表示するには、ペイン間でスピットバーをドラッグするか、スクロールする必要がある場合があります。
注：それぞれの正しい選択には1ポイントの価値があります。

Answer:
Explanation:

NEW QUESTION: 2
Refer to the exhibit and configuration output. A user in New York (5001) is trying to call a user in London (6001), but the call cannot be completed. Assuming that the WAN uplink is failing and the voice traffic has to go out toward the PSTN, which command do you need to add to dial peer to solve this issue?

dial-peer voice 3 pots
destination-pattern 6...
preference 1
port 0/0/0:23
dtmf-relay sip-notify
A. num-exp 512602 6001
B. forward-digits 2
C. prefix 757385
D. prefix 5126
E. forward-digits 4
Answer: C

NEW QUESTION: 3
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
You plan to create a predictive analytics solution for credit risk assessment and fraud prediction in Azure Machine Learning. The Machine Learning workspace for the solution will be shared with other users in your organization. You will add assets to projects and conduct experiments in the workspace.
The experiments will be used for training models that will be published to provide scoring from web services.
The experiment for fraud prediction will use Machine Learning modules and APIs to train the models and will predict probabilities in an Apache Hadoop ecosystem.
You plan to configure the resources for part of a workflow that will be used to preprocess data from files stored in Azure Blob storage. You plan to use Python to preprocess and store the data in Hadoop.
You need to get the data into Hadoop as quickly as possible.
Which three actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Create the Machine learning experiment, and then add an Execute Python Script module.
B. Create an Azure virtual machine (VM), and then configure MapReduce on the VM.
C. Create an Azure virtual machine (VM), and then install an IPython Notebook server.
D. Process the files by using Python to store the data to a Hadoop instance.
E. Create an Azure HDInsight Hadoop cluster.
Answer: A,D,E

NEW QUESTION: 4

A. FTP
B. HTTP
C. IPMI
D. PXE
Answer: A,B
Explanation:
ESXi 5.x allows you to use FTP and HTTP to provide installations script to the host if you don't want to use DVD or other media.