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NEW QUESTION: 1
Which of the following BEST describes the two job functions of Microsoft Baseline Security Analyzer (MBSA)?
A. Vulnerability scanner and auditing tool
B. Auditing tool and alerting system
C. Security patching and vulnerability scanner
D. Configuration management and alerting system
Answer: C

NEW QUESTION: 2
どの3つのステートメントはOracle Secure Backup（OSB）について真ですか。
A. ファイル、ディレクトリ、ファイルシステム、または生のパーティション・レベルでファイルシステムのバックアップを実行するために使用することができます。
B. テープライブラリにバックアップの記録を維持するためのRMANリカバリ・カタログと一緒に使用することができます。
C. テープバックアップを管理し、複数のデータベースの操作を復元するために使用することができます。
D. テープにイメージ・コピー・バックアップを取るために使用することができます。
E. テープに書き込まれたクライアントデータを暗号化することができます。
Answer: A,C,E
Explanation:
Explanation
File system backups may be performed at the file, directory, file system or raw partition level with full, incremental and offsite backup scheduling. As backup needs grow requiring more tape drives and centralized backup management of multiple servers, Oracle Secure Backup XE can be easily upgraded to the Oracle Secure Backup edition.
References:
http://www.oracle.com/technetwork/products/secure-backup/learnmore/osb-xe-10-130649.pdf

NEW QUESTION: 3
CPUベースのコンピューティングクラスターとAzureKubernetes Services（AKS）推論クラスターを含むAzure MachineLearningワークスペースがあります。分類モデルの作成に使用する予定のデータを含む表形式のデータセットを作成します。
Azure Machine Learningデザイナーを使用して、クライアントアプリケーションが新しいデータを送信し、応答として即時予測を取得することで分類モデルを利用できるWebサービスを作成する必要があります。
どの3つのアクションを順番に実行する必要がありますか？回答するには、適切なアクションをアクションのリストから回答領域に移動し、正しい順序で配置します。

Answer:
Explanation:

Explanation

Step 1: Create and start a Compute Instance
To train and deploy models using Azure Machine Learning designer, you need compute on which to run the training process, test the model, and host the model in a deployed service.
There are four kinds of compute resource you can create:
Compute Instances: Development workstations that data scientists can use to work with data and models.
Compute Clusters: Scalable clusters of virtual machines for on-demand processing of experiment code.
Inference Clusters: Deployment targets for predictive services that use your trained models.
Attached Compute: Links to existing Azure compute resources, such as Virtual Machines or Azure Databricks clusters.
Step 2: Create and run a training pipeline..
After you've used data transformations to prepare the data, you can use it to train a machine learning model.
Create and run a training pipeline
Step 3: Create and run a real-time inference pipeline
After creating and running a pipeline to train the model, you need a second pipeline that performs the same data transformations for new data, and then uses the trained model to inference (in other words, predict) label values based on its features. This pipeline will form the basis for a predictive service that you can publish for applications to use.
Reference:
https://docs.microsoft.com/en-us/learn/modules/create-classification-model-azure-machine-learning-designer/

NEW QUESTION: 4
An integrator has installed Windows on an HPE ProLiant DL30 Gen9 server. The integrator needs to perform a validation of the running system and capture the current configuration.
Which tool should the integrator use?
A. HPE Active Health System (AHS)
B. HPE Insight Diagnostics Online edition
C. HPE System Update Manager (SUM)
D. HPE Integrated Management Log Viewer
Answer: D