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NEW QUESTION: 1
米国に拠点を置くオンライン小売企業は、今後6か月で事業をヨーロッパとアジアに拡大する予定です。その製品は現在、Application Load Balancerの背後にあるAmazon EC2インスタンスで実行されています。インスタンスは、複数のアベイラビリティーゾーンにわたってAmazon EC2 Auto Scalingグループで実行されます。すべてのデータは、Amazon Auroraデータベースインスタンスに保存されます。
製品が複数の地域に配備されている場合、会社はすべての地域にわたって単一の製品カタログを必要としますが、コンプライアンスのために、顧客情報と購入を各地域で保持する必要があります。最小限のアプリケーション変更で、企業はこれらの要件をどのように満たす必要がありますか？
A. Amazon DynamoDBグローバルテーブルを製品カタログに使用し、地域テーブルを顧客情報と購入に使用します
B. 製品カタログにはAmazon Redshiftを使用し、顧客情報と購入にはAmazon DynamoDBテーブルを使用します。
C. 製品カタログのリードレプリカとAuroraを使用し、顧客情報と購入のために各地域の追加のローカルAuroraインスタンスを使用します。
D. 製品カタログにはAuroraを使用し、顧客情報と購入にはAmazon DynamoDBグローバルテーブルを使用します。
Answer: C
NEW QUESTION: 2
A network contains an Active Directory Domain Services (AD DS) domain. Active Directory is configured as shown in the following table.
The functional level of the domain is Windows Server 2008 R2. The functional level of the forest is Windows Server 2003.
Active Directory replication between the Seattle site and the Chicago site occurs from 8:00
P.M. to 1:00 A.M. every day.
At 7:00 A.M. an administrator deletes a user account while he is logged on to DC001.
You need to restore the deleted user account. You must achieve this goal by using the minimum administrative effort.
What should you do?
A. On DC001, run the Restore-ADObject cmdlet.
B. On DC001, stop AD DS, restore the system state, and then start AD DS.
C. On DC006, run the Restore-ADObject cmdlet.
D. On DC006, stop AD DS, perform an authoritative restore, and then start AD DS.
Answer: D
Explanation:
We cannot use Restore-ADObject, because Restore-ADObject is a part of the Recycle Bin feature, and you can only use Recycle Bin when the forest functional level is set to
Windows Server 2008 R2. In the question text it says "The functional level of the forest is
Windows Server 2003."
See http://technet.microsoft.com/nl-nl/library/dd379481.aspx
Performing an authoritative restore on DC006 updates the Update Sequence Number
(USN) on that DC, which causes it to replicate the restored user account to other DC's.
Reference 1:
MS Press - Self-Paced Training Kit (Exam 70-640) (2nd Edition, July 2012) page 692
"An authoritative restore restores data that was lost and updates the Update Sequence
Number (USN) for the data to make it authoritative and ensure that it is replicated to all
other servers."
Reference 2:
http://technet.microsoft.com/en-us/library/cc755296.aspx
Authoritative restore of AD DS has the following requirements:
(...)
You must stop the Active Directory Domain Services service before you run the ntdsutil
authoritative restore command and restart the service after the command is complete.
NEW QUESTION: 3
You create an experiment in Azure Machine Learning Studio. You add a training dataset that contains 10,000 rows. The first 9,000 rows represent class 0 (90 percent).
The remaining 1,000 rows represent class 1 (10 percent).
The training set is imbalances between two classes. You must increase the number of training examples for class 1 to 4,000 by using 5 data rows. You add the Synthetic Minority Oversampling Technique (SMOTE) module to the experiment.
You need to configure the module.
Which values should you use? To answer, select the appropriate options in the dialog box in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: 300
You type 300 (%), the module triples the percentage of minority cases (3000) compared to the original dataset (1000).
Box 2: 5
We should use 5 data rows.
Use the Number of nearest neighbors option to determine the size of the feature space that the SMOTE algorithm uses when in building new cases. A nearest neighbor is a row of data (a case) that is very similar to some target case. The distance between any two cases is measured by combining the weighted vectors of all features.
By increasing the number of nearest neighbors, you get features from more cases.
By keeping the number of nearest neighbors low, you use features that are more like those in the original sample.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/smote