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NEW QUESTION: 1
Click to expand each objective. To connect to the Azure portal, type https://portal.azure.com in the browser address bar.






When you are finished performing all the tasks, click the 'Next' button.
Note that you cannot return to the lab once you click the 'Next' button. Scoring occur in the background while you complete the rest of the exam.
Overview
The following section of the exam is a lab. In this section, you will perform a set of tasks in a live environment. While most functionality will be available to you as it would be in a live environment, some functionality (e.g., copy and paste, ability to navigate to external websites) will not be possible by design.
Scoring is based on the outcome of performing the tasks stated in the lab. In other words, it doesn't matter how you accomplish the task, if you successfully perform it, you will earn credit for that task.
Labs are not timed separately, and this exam may have more than one lab that you must complete. You can use as much time as you would like to complete each lab. But, you should manage your time appropriately to ensure that you are able to complete the lab(s) and all other sections of the exam in the time provided.
Please note that once you submit your work by clicking the Next button within a lab, you will NOT be able to return to the lab.
To start the lab
You may start the lab by clicking the Next button.
You need to deploy an Azure virtual machine named VM1004a based on the Ubuntu Server 17.10 image, and then to configure VM1004a to meet the following requirements:
* The virtual machine must contain data disks that can store at least 15 TB of data.
* The data disks must be able to provide at least 2,000 IOPS.
* Storage costs must be minimized.
What should you do from the Azure portal?
Answer:
Explanation:
See solution below.
Explanation
1. Open the Azure portal.
2. On the left menu, select All resources. You can sort the resources by Type to easily find your images.
3. Select the image you want to use from the list. The image Overview page opens.
4. Select Create VM from the menu.
5. Enter the virtual machine information.
Select VM1004a as the name for the first Virtual machine.
The user name and password entered here will be used to log in to the virtual machine. When complete, select OK. You can create the new VM in an existing resource group, or choose Create new to create a new resource group to store the VM.
6. Select a size for the VM. To see more sizes, select View all or change the Supported disk type filter.
To support 15 TB of data you would need a Premium disk.
7. Under Settings, make changes as necessary and select OK.
8. On the summary page, you should see your image name listed as a Private image. Select Ok to start the virtual machine deployment.
References:
https://docs.microsoft.com/en-us/azure/virtual-machines/windows/create-vm-generalized-managed

NEW QUESTION: 2
A guest network segment typically exists to:
A. allow staff to access external websites without detection
B. prevent the introduction of authorized devices with out-of-date security controls.
C. provide transient users with access to a subnet of network services
D. simplify firewall ACLs by denying all Internet traffic
Answer: C

NEW QUESTION: 3
Azure Machine Learning Studioを使用してデータセットを分析しています。
各機能列のp値と一意の値カウントを含む統計サマリーを生成する必要があります。
ユーザーはどちらのモジュールを使用できますか？それぞれの正解は完全な解決策を提示します。
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。
A. Pythonスクリプトの実行
B. インジケーター値に変換
C. 線形相関の計算
D. カウントテーブルのエクスポート
E. データの要約
Answer: C,D
Explanation:
The Export Count Table module is provided for backward compatibility with experiments that use the Build Count Table (deprecated) and Count Featurizer (deprecated) modules.
E: Summarize Data statistics are useful when you want to understand the characteristics of the complete dataset. For example, you might need to know:
How many missing values are there in each column?
How many unique values are there in a feature column?
What is the mean and standard deviation for each column?
The module calculates the important scores for each column, and returns a row of summary statistics for each variable (data column) provided as input.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/export-count-table
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/summarize-data

NEW QUESTION: 4
HOTSPOT


Answer:
Explanation: