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NEW QUESTION: 1
Refer to the exhibit.

What are the likely conclusions after analysis of the Data Exchange Chart? (Select 2)
A. The majority of activity is between the two servers.
B. Much of the application response time is caused by the Wide Area Network (WAN).
C. Most of the traffic consists of small messages.
D. This transaction takes about 4 seconds to complete and this analysis proves the user's belief that additional WAN bandwidth would improve application performance.
Answer: A,C

NEW QUESTION: 2
Which of the following statements are true about hardware virtualization? (Select THREE correct answers)
A. Hardware virtualization does not use CPU emulation.
B. Hardware virtualization can run an unmodified Guest OS.
C. Hardware virtualization can take advantage of Intel VT and AMDV technologies.
D. Hardware virtualization is also referred to as containerbased virtualization.
E. Hardware virtualization requires specially configured drivers for virtualized hardware.
Answer: A,B,C

NEW QUESTION: 3
会社のデータエンジニアリングソリューションを開発します。
プロジェクトでは、リアルタイムのTwitterフィードの分析が必要です。特定のキーワードを含む投稿は、Microsoft Azureで保存および処理され、Microsoft Power BIを使用して表示される必要があります。ソリューションを実装する必要があります。
どの5つのアクションを順番に実行する必要がありますか？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: Create an HDInisght cluster with the Spark cluster type
Step 2: Create a Jyputer Notebook
Step 3: Create a table
The Jupyter Notebook that you created in the previous step includes code to create an hvac table.
Step 4: Run a job that uses the Spark Streaming API to ingest data from Twitter Step 5: Load the hvac table into Power BI Desktop You use Power BI to create visualizations, reports, and dashboards from the Spark cluster data.
References:
https://acadgild.com/blog/streaming-twitter-data-using-spark
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-use-with-data-lake-store