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NEW QUESTION: 1
情報セキュリティマネージャーは、組織のデータを保護するための制御を実装しています。このプロセスの最初のステップは次のとおりです。
A. アクセス制御を実装します。
B. データを暗号化します。
C. データを分類します。
D. データへのアクセスを監視します。
Answer: C

NEW QUESTION: 2
ユーザーの1人がサポートチームに電話をかけ、顧客から期待していた電子メールを受信しなかったと報告しました。ユーザーとの調査中に、サポートチームは受信トレイ、ゴミ箱、またはスパムラベルでメッセージを見つけることができませんでした。彼らはトラブルシューティングのためにあなたにエスカレートしました。電子メールログ検索に移動して原因を特定し、GSuiteシステムに正常に到達したことを確認します。この問題の考えられる原因は何ですか？
A. このメールはフィッシングメールとして隔離されました。
B. ユーザーには、メッセージをアーカイブするルールがあります。
C. サードパーティのスパムフィルターが電子メールを隔離しました。
D. メールにラベルが追加されました。
Answer: B

NEW QUESTION: 3
Workers in a Human Resources department are verifying images from an IBM Datacap Navigator client.
From the batch view panel they want to change the structure of the Page type but are unable do it.
Reference the Before and After pictures below.
Before:

After:

What needs to be configured in order to obtain the results as shown in the After picture?
A. Set the "props for var type" to value 1 from the Verify task configuration.
B. Set the "props for var status" to value 1 from the Verify task configuration.
C. Disable "read-only view" and set the "props for var type" to value 1 from the Verify task configuration.
D. Disable "read-only view" from the Verify task configuration.
Answer: C
Explanation:
Explanation/Reference:

NEW QUESTION: 4
リアルタイムデータ処理ソリューションの高可用性を改善するにはどうすればよいですか？
A. Azure Stream Analyticsジョブをデプロイし、Azure Automation Runbookを使用してジョブのステータスを確認し、停止した場合はジョブを開始します。
B. 地理冗長ストレージ（GRS）を使用するようにData Lake Storageを設定します。
C. 同一のAzure Stream AnalyticsジョブをAzureのペアのリージョンにデプロイします。
D. 高同時実行性Databricksクラスターをデプロイします。
Answer: C
Explanation:
Guarantee Stream Analytics job reliability during service updates
Part of being a fully managed service is the capability to introduce new service functionality and improvements at a rapid pace. As a result, Stream Analytics can have a service update deploy on a weekly (or more frequent) basis. No matter how much testing is done there is still a risk that an existing, running job may break due to the introduction of a bug. If you are running mission critical jobs, these risks need to be avoided. You can reduce this risk by following Azure's paired region model.
Scenario: The application development team will create an Azure event hub to receive real-time sales data, including store number, date, time, product ID, customer loyalty number, price, and discount amount, from the point of sale (POS) system and output the data to data storage in Azure