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NEW QUESTION: 1


Answer:
Explanation:

Explanation
Box 1:

Box 2:

Box 3:

Note:
Example:
CounterCreationDataCollection counterDataCollection = new CounterCreationDataCollection(); // Box1
// Add the counter. Box 1
CounterCreationData averageCount64 = new CounterCreationData();
averageCount64.CounterType = PerformanceCounterType.AverageCount64;
averageCount64.CounterName = "AverageCounter64Sample";
counterDataCollection.Add(averageCount64);
// Add the base counter.
CounterCreationData averageCount64Base = new CounterCreationData();
averageCount64Base.CounterType = PerformanceCounterType.AverageBase;
averageCount64Base.CounterName = "AverageCounter64SampleBase";
counterDataCollection.Add(averageCount64Base); // Box 2
// Create the category. Box 3
PerformanceCounterCategory.Create("AverageCounter64SampleCategory",
"Demonstrates usage of the AverageCounter64 performance counter type.", PerformanceCounterCategoryType.SingleInstance, counterDataCollection);

NEW QUESTION: 2
オンライン小売業者は、バッチで処理される大きな製品カタログを定期的に処理する必要があります。これらはAmazon Mechanical Turkサービスを使用する人々によって処理されるために送信されますが、小売業者はソリューションアーキテクトに、複数の並行したMechanical Turk操作の処理、結果評価プロセスの処理、および再処理を可能にするワークフローオーケストレーションシステムの設計を依頼しました失敗。
次のオプションのどれを使用すると、小売業者はすべてのワークフローの状態を最小限の実装作業で調べることができますか？
A. 複数のAmazon SQSキュー（ワークフローステージごとに1つのキュー）のメッセージの可視性に基づいてAmazon CloudWatchアラームをトリガーし、Amazon SNS経由でメッセージを送信してAWS Lambda関数をトリガーして次のステップを処理します。 Amazon ESとKibanaを使用してLambda処理ログを視覚化し、ワークフローの状態を確認します。
B. AWS Step Functionsでワークフローを構築し、それを使用して複数の同時ワークフローを調整します。各ワークフローのステータスはAWSマネジメントコンソールで視覚化でき、履歴データはAmazon S3に書き込まれ、Amazon QuickSightを使用して視覚化できます。
C. AWS Lambda関数がステータス変更についてRDSをポーリングするAmazon RDSインスタンスでワークフロー情報を保持します。その後、ワーカーLambda関数は次​​のワークフローステップを処理します。 Amazon QuickSightは、ワークフローの状態をAmazon RDSから直接視覚化します。
D. Amazon SWFを使用して、複数のワーカータスクでカタログレコードの単一バッチを処理するワークフローを作成し、データを抽出して変換し、Mechanical Turk経由で送信します。 Amazon ESとKibanaを使用してAWS Lambda処理ログを視覚化し、ワークフローの状態を確認します。
Answer: B
Explanation:
Explanation
AWS Step Functions is a fully managed service that makes it easy to coordinate the components of distributed applications and microservices using visual workflows. Instead of writing a Decider program, you define state machines in JSON. AWS customers should consider using Step Functions for new applications.
If Step Functions does not fit your needs, then you should consider Amazon Simple Workflow (SWF).
Amazon SWF provides you complete control over your orchestration logic, but increases the complexity of developing applications. You may write decider programs in the programming language of your choice, or you may use the Flow framework to use programming constructs that structure asynchronous interactions for you. AWS will continue to provide the Amazon SWF service, Flow framework, and support all Amazon SWF customers. https://aws.amazon.com/swf/faqs/

NEW QUESTION: 3
DRAG DROP
Your company recently purchased a new building down the street from the existing office.
For each of the tasks below, select the appropriate antenna type and encryption object for all wireless
access point (AP).
1. Create an encrypted wireless connection between the two buildings that BEST controls signal
propagation, while maximizing security.
2. Restrict the wireless signal generated by the access points (AP's) inside Building 1, so that it minimizes
broadcast beyond the building.
3. Maximize wireless coverage inside Building 1.
4. Building 1's internal wireless network is for visitors only and must not require any special configuration
on the visitor's device to connect.
Select and Place:

Answer:
Explanation:

NEW QUESTION: 4
Sie müssen die Kaufanforderung implementieren.
Was tun?
A. Verwenden Sie die Bot Framework REST API-Konversationsoperationen, um die Stimme des Benutzers und die Sprachdienst-API zum Erkennen von Absichten zu senden.
B. Verwenden Sie die Sprachdienst-API, um die Stimme des Benutzers und die REST-API-Konversationsoperationen von Bot Framework zu senden, um Absichten zu erkennen.
C. Verwenden Sie die Anhangsoperationen der Bot FrameworkREST-API, um die Stimme des Benutzers und die Sprachdienst-API zum Erkennen von Absichten zu senden.
D. Verwenden Sie die Direct Line REST-API, um die Stimme des Benutzers zu senden, und die Sprachdienst-API, um Absichten zu erkennen.
Answer: A
Explanation:
Explanation
Scenario: Enable users to place an order for delivery or pickup by using their voice.
You must develop a chatbot by using the Bot Builder SDK and Language Understanding Intelligence Service
(LUIS). The chatbot must allow users to order food for pickup or delivery.
The Bot Framework REST APIs enable you to build bots that exchange messages with channels configured in
the Bot Framework Portal, store and retrieve state data, and connect your own client applications to your bots.
All Bot Framework services use industry-standard REST and JSON over HTTPS.
The Speech Service API is used to recognize intents.
References:
https://docs.microsoft.com/en-us/azure/bot-service/rest-api/bot-framework-rest-connector-concepts?view=azure-
https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/how-to-recognize-intents-from-speech-