Questions and Answers: 166
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NEW QUESTION: 1
Sales라는 테이블이 포함된 Microsoft Excel 스프레드 시트가 있습니다.
Sales 테이블을 Power BI 대시 보드에 타일로 추가해야 합니다.
타일을 어떻게 구성해야 합니까?
A. Excel에서 통합 문서를 Power BI 서비스에 게시하십시오.
B. Power BI 서비스에서 Excel 통합 문서의 데이터를 가져옵니다.
C. Excel의 Power BI 탭에서 테이블을 고정하십시오.
D. Power BI 서비스에서 Excel 통합 문서를 업로드하십시오.
Answer: C
Explanation:
설명
참조 : https://docs.microsoft.com/en-us/power-bi/publisher-for-excel
NEW QUESTION: 2
内部セグメンテーションファイアウォール(ISFW)の目的は何ですか?
A. ネットワーク境界での最初の防衛線です。
B. エンタープライズネットワークを拡張するためにリモートサイトに配置されるオールインワンセキュリティアプライアンスです。
C. ネットワークを複数のセキュリティセグメントに分割して、侵害の影響を最小限に抑えます。
D. 着信トラフィックを検査して、企業DMZのサービスを保護します。
Answer: C
Explanation:
ISFW splits your network into multiple security segments. They serve as a breach containers from attacks that come from inside.
NEW QUESTION: 3
Overview:
Litware, Inc. is a company that manufactures personal devices to track physical activity and other health- related data.
Litware has a health tracking application that sends health-related data from a user's personal device to Microsoft Azure.
Litware has three development and commercial offices. The offices are located in the United States, Luxembourg, and India.
Litware products are sold worldwide. Litware has commercial representatives in more than 80 countries.
Existing Environment:
In addition to using desktop computers in all of the offices, Litware recently started using Microsoft Azure resources and services for both development and operations.
Litware has an Azure Machine Learning solution.
Litware recently extended its platform to provide third-party companies with the ability to upload data from devices to Azure. The data can be aggregated across multiple devices to provide users with a comprehensive view of their global health activity.
While the upload from each device is small, potentially more than 100 million devices will upload data daily by using an Azure event hub.
Each health activity has a small amount of data, such as activity type, start date/time, and end date/time.
Each activity is limited to a total of 3 KB and includes a customer identification key.
In addition to the Litware health tracking application, the users' activities can be reported to Azure by using an open API.
The developers at Litware perform Machine Learning experiments to recommend an appropriate health activity based on the past three activities of a user.
The Litware developers train a model to recommend the best activity for a user based on the hour of the day.
Requirements:
Litware plans to extend the existing dashboard features so that health activities can be compared between the users based on age, gender, and geographic region.
Minimize the costs associated with transferring data from the event hub to Azure Storage.
Litware identifies the following technical requirements:
Data from the devices must be stored for three years in a format that enables the fast processing of
date fields and filtering.
The third-party companies must be able to use the Litware Machine Learning models to generate
recommendations to their users by using a third-party application.
Any changes to the health tracking application must ensure that the Litware developers can run the
experiments without interrupting or degrading the performance of the production environment.
Activity tracking data must be available to all of the Litware developers for experimentation. The developers must be prevented from accessing the private information of the users.
When the Litware health tracking application asks users how they feel, their responses must be reported to Azure.
You extend the dashboard of the health tracking application to summarize fields across several users.
You need to recommend a file format for the activity data in Azure that meets the technical requirements.
What is the best recommendation to achieve the goal? More than one answer choice may achieve the goal. Select the BEST answer.
A. ORC
B. CSV
C. XML
D. TSV
E. JSON
Answer: C
Explanation:
Explanation/Reference:
Explanation:
From scenario: Litware identifies the following technical requirements:
Data from the devices must be stored for three years in a format that enables the fast processing of date fields and filtering.
XML is a good file format for filtering and processing of fields.
NEW QUESTION: 4
AWS上にスケーラブルな継続的インテグレーションプラットフォームを設定します。
このプラットフォームは、すべてAmazon EC2で実行されているプロジェクトビルドジョブを複数のスレーブノードに委任できるマスターノードで構成されています。
ビルド出力はAmazon S3に保存されます。
常に5つのスレーブノードが展開されています。各スレーブノードは10個のビルドジョブを同時に処理できます。
マスターノードは、名前を持つカスタムAmazon CloudWatchメトリックスを公開します
「RunningBuildiobs」プラットフォーム上で実行されているビルドジョブの数をプログラムで追跡するのを遅くします。
2つの構成オプションのうちどれを使用すれば、プラットフォームを柔軟に拡張して複数のサポートをサポートできます。
コストを最小限に抑えながら50の同時ビルドの仕事? 2つの答えを選んでください
A. 一群のスレーブノードをAuto Scalingグループに配置します。
"RunningBuildJobs"が5分を超えて45を超えた場合に、Amazon EC2インスタンスを起動するようにAuto ScalingポリシーをトリガーするCloudWatchアラームを設定します。
B. 一群のスレーブノードをAuto Scalingグループに配置します。
"RunningBuildJobs"が5分以上40未満の場合に、Amazon EC2インスタンスを終了するようにAuto ScalingポリシーをトリガーするCloudWatchアラームを設定します。
C. "RunningBuildJobs"が5分を超えて45を超えたときにアラートを送信するCloudWatchアラームを設定します。
CloudWatchアラームがトリガーされたときに追加のビルドジョブを処理するには、Amazon Simple Queue Serviceを使用します。
D. 購入したすべてのAmazon EC2ヘビー使用リザーブドインスタンスを完全に利用するようにスレーブノードのセットを設定します。
次の場合に新しいAmazon EC2インスタンスを起動するCloudWatchアラームを設定します。
"RunningBuildJobs"は5分以上40未満です。
E. Auto Scalingグループの中の一群のスレーブノードを実行します。
次の場合に新しいAmazon EC2専用インスタンスを起動するCloudwatchアラームを設定します。
"RunningBuildJobs"は5分以上40未満です。
Answer: A,B