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NEW QUESTION: 1
You have a server named Server1 that runs Windows Server 2012. You connect three new hard disks to Server1.
You need to create a storage space that contains the three disks. The solution must meet the following requirements:
* Provide fault tolerance if a single disk fails.
* Maximize the amount of files that can be stored in the storage space.
What should you create?
A. A mirrored space
B. A spanned volume
C. A simple space
D. A parity space
Answer: D

NEW QUESTION: 2
企業が自社のマーケティングWebサイトとコンテンツ管理システムをオンプレミスのデータセンターからAWSに移行しています。 同社は、AWSアプリケーションを、Webサーバーに使用されるAmazon EC2インスタンスとデータベースにAmazon RDSインスタンスを使用するVPCで開発することを望んでいます。
同社には、オンプレミスシステムのインストールプロセスを説明するRunbookドキュメントがあります。 会社は、Runbookドキュメントで参照されているプロセスに基づいてAWSシステムを構築したいと考えています。 Runbookドキュメントには、サーバー上のオペレーティングシステム、ネットワーク設定、Webサイト、およびコンテンツ管理システムソフトウェアのインストールと構成が記載されています。 移行が完了した後、会社は他のAWS機能を利用するために迅速に変更を加えられるようにしたいと考えています。
将来の変更を考慮しながら、アプリケーションと環境をAWSにデプロイして自動化するにはどうすればよいですか？
A. Update the runbook to describe how to create the VPC, the EC2 instances, and the RDS instance for the application by using the AWS Console. Make sure that the rest of the steps in the runbook are updated to reflect any changes that may come from the AWS migration.
B. Write an AWS CloudFormation template that creates the VPC, the EC2 instances, and the RDS instance for the application. Ensure that the rest of the steps in the runbook are updated to reflect any changes that may come from the AWS migration.
C. Write a Python script that uses the AWS API to create the VPC, the EC2 instances, and the RDS instance for the application. Write shell scripts that implement the rest of the steps in the runbook. Have the Python script copy and run the shell scripts on the newly created instances to complete the installation.
D. Write an AWS CloudFormation template that creates the VPC, the EC2 instances, and the RDS instance for the application. Include EC2 user data in the AWS CloudFormation template to install and configure the software.
Answer: D

NEW QUESTION: 3
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You train a classification model by using a logistic regression algorithm.
You must be able to explain the model's predictions by calculating the importance of each feature, both as an overall global relative importance value and as a measure of local importance for a specific set of predictions.
You need to create an explainer that you can use to retrieve the required global and local feature importance values.
Solution: Create a MimicExplainer.
Does the solution meet the goal?
A. Yes
B. No
Answer: B
Explanation:
Explanation
Instead use Permutation Feature Importance Explainer (PFI).
Note 1: Mimic explainer is based on the idea of training global surrogate models to mimic blackbox models. A global surrogate model is an intrinsically interpretable model that is trained to approximate the predictions of any black box model as accurately as possible. Data scientists can interpret the surrogate model to draw conclusions about the black box model.
Note 2: Permutation Feature Importance Explainer (PFI): Permutation Feature Importance is a technique used to explain classification and regression models. At a high level, the way it works is by randomly shuffling data one feature at a time for the entire dataset and calculating how much the performance metric of interest changes. The larger the change, the more important that feature is. PFI can explain the overall behavior of any underlying model but does not explain individual predictions.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-machine-learning-interpretability