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NEW QUESTION: 1
家庭用家具店のeコマースチームは、寝室カテゴリの過去2か月間の注文数の減少に気づきました。
減少を調査するためにレポートに含めるのに関連する3つのメトリックはどれですか？
寝室の購入ファネルの各ステップのフォールアウト率」カテゴリ
A. 寝室用のカート追加 ''カテゴリ
B. カテゴリごとの平均ページビュー
C. バスルームのページビュー ''カテゴリ
D. 寝室カテゴリの製品ごとの注文
E. バスルームの収益 ''カテゴリ
Answer: A,B,D
NEW QUESTION: 2
You create a dashboard that displays the results of a customer satisfaction survey. You need to embed a tweet from your company's Twitter feed into the dashboard. What should you do?
A. To the dashboard, add a tile that uses a PubNub content source.
B. To the dashboard, add a tile that uses a web content source.
C. Edit the report and import a visualization from a file. Pin the visualization to the dashboard.
D. Edit the report and import a visualization from the marketplace. Pin the visualization to the dashboard.
Answer: B
Explanation:
Explanation: References:
https://docs.microsoft.com/en-us/power-bi/service-dashboard-add-widget
NEW QUESTION: 3
最近、Windows Server 2008 R2オペレーティングシステムを実行しているコンピュータからSQL Server 2012データベースインスタンスを削除しました。インスタンスを削除する前に、デフォルトのインスタンスがCPU 0と1を使用し、2番目のインスタンスがCPU 2と3を使用するようにアフィニティを構成しました。
デフォルトのインスタンスがホストで使用可能なすべてのプロセッサーを使用できるようにする必要があります。
この目標を達成するために使用するコマンドは次のうちどれですか？
A. ALTER SERVER CONFIGURATION SET PROCESS AFFINITY CPU = 0,1
B. ALTER SERVER CONFIGURATION SET PROCESS AFFINITY CPU = 2,3
C. ALTER SERVER CONFIGURATION SET PROCESS AFFINITY CPU = 0,4
D. ALTER SERVER CONFIGURATION SET PROCESS AFFINITY CPU = AUTO
Answer: D
NEW QUESTION: 4
You are designing an Azure Data Factory pipeline for processing dat
a. The pipeline will process data that is stored in general-purpose standard Azure storage.
You need to ensure that the compute environment is created on-demand and removed when the process is completed.
Which type of activity should you recommend?
A. Data Lake Analytics U-SQL activity
B. Databricks Python activity
C. HDInsight Pig activity
D. Databricks Jar activity
Answer: C
Explanation:
The HDInsight Pig activity in a Data Factory pipeline executes Pig queries on your own or on-demand HDInsight cluster.
References:
https://docs.microsoft.com/en-us/azure/data-factory/transform-data-using-hadoop-pig
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