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NEW QUESTION: 1
Every month for the last three years, a company has recorded the number of new customers for that month.
The data have been summarised and grouped as follows.

What is the arithmetic mean of the number of new customers per month?
A. 6.50
B. 6.22
C. 6.38
D. 8.50
Answer: D

NEW QUESTION: 2

A. Option E
B. Option D
C. Option B
D. Option C
E. Option A
Answer: A
Explanation:
By rolling back the drivers Ann would be able touse her lab equipment again.
To roll back a driver in Windows means to return the driver to the version that was last installed for the device. Rolling
back a driver is an easy way to return a driver to a working version when a driver update fails to fix aproblem or
maybe even causes a new problem. Think of rolling back a driver as a quick and easy way to uninstall the latest driver
and then reinstall the previous one, all automatically.

NEW QUESTION: 3
The main purpose of a statement of cash flows of a firm is to provide relevant information about
A. differences between net income and associated cash receipts and disbursements.
B. a firm's ability to meet cash operating needs.
C. the cash receipts and cash disbursements of an enterprise during a period.
D. a firm's ability to generate future positive net cash flows.
E. none of these answers.
Answer: C
Explanation:
Explanation/Reference:
Explanation:
The statement cash flows helps investors, creditors and other users to assess the firm's ability to generate net cash inflows, meet its obligations, pay dividends and obtain external financing.

NEW QUESTION: 4
Microsoft Azureで新しいLambdaアーキテクチャを設計しています。
リアルタイム処理レイヤーは、次の要件を満たしている必要があります。
摂取：
1秒あたり数百万のイベントを受信する
完全に管理されたPlatform-as-a-Service（PaaS）ソリューションとして機能する
Azure Functionsと統合する
ストリーム処理：
ジョブごとに処理する
Azureサービスとのシームレスな接続を提供する
SQLベースのクエリ言語を使用する
分析データストア：
マネージドサービスとして機能する
ドキュメントストアを使用する
保管中のデータ暗号化を提供する
最小限の労力でLambdaアーキテクチャを構築するには、正しいテクノロジーを特定する必要があります。どのテクノロジーを使用する必要がありますか？回答するには、回答エリアで適切なオプションを選択します。
注：それぞれの正しい選択には1ポイントの価値があります。

Answer:
Explanation:

Explanation:
Box 1: Azure Event Hubs
This portion of a streaming architecture is often referred to as stream buffering. Options include Azure Event Hubs, Azure IoT Hub, and Kafka.
Incorrect Answers: Not HDInsight Kafka
Azure Functions need a trigger defined in order to run. There is a limited set of supported trigger types, and Kafka is not one of them.
Box 2: Azure Stream Analytics
Azure Stream Analytics provides a managed stream processing service based on perpetually running SQL queries that operate on unbounded streams.
You can also use open source Apache streaming technologies like Storm and Spark Streaming in an HDInsight cluster.
Box 3: Azure SQL Data Warehouse
Azure SQL Data Warehouse provides a managed service for large-scale, cloud-based data warehousing. HDInsight supports Interactive Hive, HBase, and Spark SQL, which can also be used to serve data for analysis.
References:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/big-data/