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NEW QUESTION: 1
さまざまな学校でのスポーツの参加率に関する洞察を提供する一連の分析データモデルとレポートがあります。 ユーザーはスポーツや参加者に関する情報をクライアントアプリケーションに入力します。 アプリケーションはこのトランザクションデータをMicrosoft SQL Serverデータベースに格納します。 SQL Server Integration Services(SSIS)パッケージはデータをモデルにロードします。
ユーザーがデータを入力するとき、彼らは常にスポーツの正しい名前を適用しません。 次の表は、データ入力の問題の例を示しています。
あなたはデータの質を向上させる必要があります。
どの4つのアクションを順番に実行しますか? 答えるには、適切な行動を行動のリストから回答領域に移動し、正しい順序で並べます。
Answer:
Explanation:
Explanation
References: https://docs.microsoft.com/en-us/sql/data-quality-services/perform-knowledge-discovery
NEW QUESTION: 2
Drag each statement about EtherChannel protocols on the left to the matching EtherChannel protocol on the right.
Answer:
Explanation:
NEW QUESTION: 3
Which of the following requires the network administrator to schedule a maintenance window?
A. When the network administrator's laptop must be rebooted.
B. A minor release upgrade of a production router.
C. When a company-wide email notification must be sent.
D. A major release upgrade of a core switch in a test lab.
Answer: B
Explanation:
During an update of a production router the router would not be able to route packages and the network traffic would be affected. It would be necessary to announce a maintenance window.
In information technology and systems management, a maintenance window is a period of time designated in advance by the technical staff, during which preventive maintenance that could cause disruption of service may be performed.
NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
You plan to create a predictive analytics solution for credit risk assessment and fraud prediction in Azure Machine Learning. The Machine Learning workspace for the solution will be shared with other users in your organization. You will add assets to projects and conduct experiments in the workspace.
The experiments will be used for training models that will be published to provide scoring from web services.
The experiment for fraud prediction will use Machine Learning modules and APIs to train the models and will predict probabilities in an Apache Hadoop ecosystem.
You finish training the model and are ready to publish a predictive web service that will provide the users with the ability to specify the data source and the save location of the results. The model includes a Split Data module.
Which two actions should you perform to convert the Machine Learning experiment to a predictive web service? To answer, drag the appropriate actions to the correct targets. Each action may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio/convert-training-experiment-to-scoring-experim