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NEW QUESTION: 1
What does the threshold-based calculation method involve?
A. Setting the tolerance as an absolute value
B. Setting the tolerance value to indicate how much variance from target is acceptable
C. Setting the width of green bands for 'On target is positive' metric types
D. Setting target boundaries with user defined values
Answer: D

NEW QUESTION: 2
Given that a web application consists of two HttpServlet classes, ServletA and ServletB, and the ServerletA.service method:
20. String key = "com.example.data";
21. session.setAttribute(key, "Hello");
22. object value = session.getAttribute(key);
23.
Assume session is an HttpSession, and is not referenced anywhere else in ServletA.
Which two changes, taken together, ensure that value is equal to "Hello" on line 23? (Choose two)
A. ensure that ServletB synchronizes on the session object when setting session attributes
B. ensure that the ServletB.service method is synchronized
C. ensure that the ServletA.service method is synchronized
D. enclose lines 21-22 in synchronized block:
synchronized(session) (
session.setAttribute(key, "Hello");
value = session.getAttribute(key);
)
E. enclose lines 21-22 in synchronized block:
synchronized(this) (
session.setAttribute(key, "Hello");
value = session.getAttribute(key);
)
Answer: A,D

NEW QUESTION: 3
次の表に示すAzureリソースを含むAzureの注文処理システムを設計しています。

注文処理システムには、次のトランザクションフローがあります。
*お客様はApp1を使用して注文します。
*注文を受け取ると、App1はベンダー1とベンダー2での製品の入手可能性を確認するメッセージを生成します。
*統合コンポーネントはメッセージを処理し、注文のタイプに応じてFunction1またはFunction2のいずれかをトリガーします。
*ベンダーが製品の入手可能性を確認すると、App1のステータスメッセージがFunction1またはFunction2によって生成されます。
*トランザクションのすべてのステップがstorage1に記録されます。
統合コンポーネントにはどのタイプのリソースを推奨する必要がありますか?
A. an Azure Event Grid domain
B. an Azure Service Bus queue
C. an Azure Event Hubs capture
D. an Azure Data Factory pipeline
Answer: D
Explanation:
A data factory can have one or more pipelines. A pipeline is a logical grouping of activities that together perform a task.
The activities in a pipeline define actions to perform on your data.
Data Factory has three groupings of activities: data movement activities, data transformation activities, and control activities.
Azure Functions is now integrated with Azure Data Factory, allowing you to run an Azure function as a step in your data factory pipelines.
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/concepts-pipelines-activities

NEW QUESTION: 4
DRAG DROP

Answer:
Explanation: