Questions and Answers: 166
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NEW QUESTION: 1
AWS内に構築されたシステムのコンプライアンス評価を準備するとき。監査の準備をするための3つのベストプラクティスは何ですか? (3つ選択してください。)
A. 該当するサードパーティの監査済みAWSコンプライアンスレポートと認証をリクエストして取得する
B. 事前評価のセキュリティレビューのために、AWSデータセンターのコンプライアンスとセキュリティツアーをリクエストして取得します
C. システムのインスタンスとエンドポイントの関連するネットワークスキャンと詳細な侵入テストを実行するために、AWSにリクエストを送信し、承認を取得します
D. IT運用管理の証拠を収集する
E. AWSのサードパーティ監査人とのミーティングをスケジュールして、管理目標に対応するAWSコンプライアンスの証拠を提供します
Answer: A,C,D
NEW QUESTION: 2
If you enable the option "Generate Logs when Session Starts", what effect does this have on the number
of traffic log messages generated for each session?
A. One traffic log message is generated.
B. No traffic log message is generated.
C. A log message is only generated if there is a security event.
D. Two traffic log messages are generated.
Answer: D
NEW QUESTION: 3
会社は、Twitterからのストリーミングデータを処理するイベント処理エンジンを作成する予定です。
データエンジニアリングチームは、Azure Event Hubsを使用してストリーミングデータを取り込みます。
Azure Databricksを使用して、Azure Event Hubsからストリーミングデータを受信するソリューションを実装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ことをお勧めしますか?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エリアに移動し、正しい順序に並べます。
Answer:
Explanation:
Explanation
Step 1: Deploy the Azure Databricks service
Create an Azure Databricks workspace by setting up an Azure Databricks Service.
Step 2: Deploy a Spark cluster and then attach the required libraries to the cluster.
To create a Spark cluster in Databricks, in the Azure portal, go to the Databricks workspace that you created, and then select Launch Workspace.
Attach libraries to Spark cluster: you use the Twitter APIs to send tweets to Event Hubs. You also use the Apache Spark Event Hubs connector to read and write data into Azure Event Hubs. To use these APIs as part of your cluster, add them as libraries to Azure Databricks and associate them with your Spark cluster.
Step 3: Create and configure a Notebook that consumes the streaming data.
You create a notebook named ReadTweetsFromEventhub in Databricks workspace.
ReadTweetsFromEventHub is a consumer notebook you use to read the tweets from Event Hubs.
References:
https://docs.microsoft.com/en-us/azure/azure-databricks/databricks-stream-from-eventhubs