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NEW QUESTION: 1
展示を参照してください。このCisco ASAファイアウォールでのフィルタールールの役割を説明するオプションはどれですか？

A. プロキシサーバー宛てのhttpトラフィックを破棄する
B. Cisco ASAを通過するすべてのhttpトラフィックで詳細なパケット検査を実行します
C. HTTPトラフィックを定義済みのURLフィルタリングサーバーに送信します
D. URLフィルタリングサーバーが利用できない場合に許可されるトラフィックを定義します
Answer: C

NEW QUESTION: 2

A. Option A
B. Option B
C. Option C
D. Option D
Answer: B
Explanation:
* You must use Cross Origin Resource Sharing
It's not as complicated as it sounds...simply set your request headers appropriately...in
Python it would look like:
self.response.headers.add_header('Access-Control-Allow-Origin', '*');
self.response.headers.add_header('Access-Control-Allow-Methods', 'GET, POST,
OPTIONS');
self.response.headers.add_header('Access-Control-Allow-Headers', 'X-Requested-With');
self.response.headers.add_header('Access-Control-Max-Age', '86400');
* Cross-origin resource sharing (CORS) is a mechanism that allows Javascript on a web page to make XMLHttpRequests to another domain, not the domain the Javascript originated from.[1] Such "cross-domain" requests would otherwise be forbidden by web browsers, per the same origin security policy. CORS defines a way in which the browser and the server can interact to determine whether or not to allow the cross-origin request.[2] It is more powerful than only allowing same-origin requests, but it is more secure than simply allowing all such cross-origin requests.

NEW QUESTION: 3
You need to ensure that emergency road response vehicles are dispatched automatically.
How should you design the processing system? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box1: API App

* Events generated from the IoT data sources are sent to the stream ingestion layer through Azure HDInsight Kafka as a stream of messages. HDInsight Kafka stores streams of data in topics for a configurable of time.
* Kafka consumer, Azure Databricks, picks up the message in real time from the Kafka topic, to process the data based on the business logic and can then send to Serving layer for storage.
* Downstream storage services, like Azure Cosmos DB, Azure SQL Data warehouse, or Azure SQL DB, will then be a data source for presentation and action layer.
* Business analysts can use Microsoft Power BI to analyze warehoused data. Other applications can be built upon the serving layer as well. For example, we can expose APIs based on the service layer data for third party uses.
Box 2: Cosmos DB Change Feed
Change feed support in Azure Cosmos DB works by listening to an Azure Cosmos DB container for any changes. It then outputs the sorted list of documents that were changed in the order in which they were modified.
The change feed in Azure Cosmos DB enables you to build efficient and scalable solutions for each of these patterns, as shown in the following image:

References:
https://docs.microsoft.com/bs-cyrl-ba/azure/architecture/example-scenario/data/realtime-analytics-vehicle-iot?vie

NEW QUESTION: 4
クラウドネイティブアプリケーションを効果的にテストするために、個別の環境（開発、テスト、ステージング、本番など）を利用できます。インフラストラクチャの作成と管理に使用できるOracle Cloud Infrastructure（OC1）サービスはどれですか？
A. OCIリソースマネージャー
B. OCIコンピューティング
C. Kubernetes用のOCI Container Engine
D. OCI APIゲートウェイ
Answer: A
Explanation:
Resource Manager is an Oracle Cloud Infrastructure service that allows you to automate the process of provisioning your Oracle Cloud Infrastructure resources. Using Terraform, Resource Manager helps you install, configure, and manage resources through the "infrastructure-as-code" model.