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NEW QUESTION: 1
Insurance companies assist individuals in managing personal risk through risk pooling. Risk pooling is based on fact that the probability of any one type of loss occurring for a given individual is small. Therefore insurers can insure:
A. None of these
B. Only few people against a given peril, based on the knowledge that only a small percentage of those insured will ever file a claim for the particular peril
C. A large number of people against a given peril, based on the knowledge that only a small percentage of those insured will ever file a claim for the particular peril
D. A large number of people against a given peril, based on the knowledge that a large percentage of those insured will ever file a claim for the particular peril
Answer: C
NEW QUESTION: 2
A logical data model was created in a design tool. It is needed as a reference for a datawarehouse project. How can the logical model be used within Design Studio to create a database model?
A. The logical model objects can be reverse engineered directly into the Design Studio.
B. The logical data model objects can be exported into metadata format which can be imported into Design Studio using the Data Model Import Wizard.
C. The logical data model objects can be imported into Design Studio using the Data Model Import Wizard.
D. Use the design tool to create a DDL file then use Design Studio to reverse engineer the model from the DDL file.
Answer: D
NEW QUESTION: 3
システム管理者は、企業のネットワークに接続する多数の訪問者を心配しています。実稼働ネットワークトラフィックに加えて、ネットワークインフラストラクチャは、会社のサーバーへのシステム管理トラフィックに使用されます。
管理者はトラフィックを分離するために何をすべきですか？
A. 仮想ローカルエリアネットワーク（VLAN）を使用してトラフィックを分割します。
B. 複数のスパニングツリープロトコル（STP）インスタンスを作成して、さまざまなタイプのトラフィックを伝送します。
C. Quality of Service（QoS）機能を使用して、トラフィックの優先度を変更します。
D. Open Shortest Path First（OSPF）プロトコルを使用して動的ルーティングを実装します。
Answer: C
Explanation:
Quality of service (QoS) protocols allow a router to distinguish different classes of traffic and serve each class according to its priority and needs.
参照：ftp://ftp.hp.com/pub/networking/software/A-C07-QoS.pdf（4ページ）
NEW QUESTION: 4
2つの新しいMicrosoft Azure SQL Databaseインスタンスをデプロイする予定です。インスタンスはデータ入力アプリケーションをサポートします。他の例は会社のビジネスインテリジェンス努力を支える。データベースは、パブリックIPアドレスからモバイルアプリケーションによってアクセスされます。
データベースインスタンスが以下の要件を満たしていることを確認する必要があります。
* データベース管理チームは、潜在的なSQLインジェクション攻撃を含む、データ入力データベース内のあらゆる疑わしい活動に関するアラートを受信する必要があります。
* 世界中のエグゼクティブは、ビジネスインテリジェンスアプリケーションにアクセスできなければなりません。
* 機密データは絶対に送信しないでください。機密データは、データベースにプレーンテキストで格納しないでください。
以下の表で、各データベースに実装する必要がある機能を特定します。
注：各列で1つだけ選択してください。正しい選択はそれぞれ1点ずつ働きます。
Answer:
Explanation:
Explanation:
Data entry: Threat Detection
SQL Threat Detection provides a new layer of security, which enables customers to detect and respond to potential threats as they occur by providing security alerts on anomalous activities. Users receive an alert upon suspicious database activities, potential vulnerabilities, and SQL injection attacks, as well as anomalous database access patterns.
Business intelligence: Dynamic Data Masking
Dynamic data masking limits (DDM) sensitive data exposure by masking it to non-privileged users. It can be used to greatly simplify the design and coding of security in your application.
References:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-threat-detection
https://docs.microsoft.com/en-us/sql/relational-databases/security/dynamic-data-masking
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