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NEW QUESTION: 1
組織は、リクエストやその他の重要なデータの数を追跡するために展開されているWebポータルを介して、パブリックフィードバックを募集しています。レポート作成と視覚化の一環として、AmazonQuickSightはAmazon RDSデータベースに接続してデータを仮想化します。経営陣は、フィードバックに関するいくつかの重要な指標と、過去4週間でフィードバックがどのように変化したかを視覚的に理解したいと考えています。
Amazon QuickSightでの分析の複数の反復を表し、過去4週間でデータがどのように変化したかを示す最も効果的な方法は何ですか？
A. ダッシュボードオプションを使用して、毎週のデータの分析を作成し、フィルターを適用してデータの変更を視覚化します。
B. 毎週キャプチャされたデータに対して分析オプションを使用し、日付範囲ごとにデータを表示します。
C. ピボットテーブルを視覚的なオプションとして使用して、測定値を表示し、週単位の集計データを行ディメンションとして使用します。
D. ストーリーオプションを使用して、分析の複数の反復を保存し、反復を順次再生します。
Answer: D
Explanation:
説明
https://docs.aws.amazon.com/quicksight/latest/user/working-with-stories.html

NEW QUESTION: 2
Create a new, blank workbook.

A. Option A
Click new tool from the standard tool bar
Answer: A

NEW QUESTION: 3
You need to configure GitHub to use Azure Active Directory (Azure AD) for authentication. What should you do first?
A. Create an Azure Active Directory B2C (Azure AD B2C) tenant.
B. Register GitHub in Azure AD.
C. Create a conditional access policy in Azure AD.
D. Modify the Security settings of the GitHub organization.
Answer: B
Explanation:
When you connect to a Git repository from your Git client for the first time, the credential manager prompts for credentials. Provide your Microsoft account or Azure AD credentials.
Note: Git Credential Managers simplify authentication with your Azure Repos Git repositories. Credential managers let you use the same credentials that you use for the Azure DevOps Services web portal. Credential managers support multi-factor authentication through Microsoft account or Azure Active Directory (Azure AD). Besides supporting multi-factor authentication with Azure Repos, credential managers also support two-factor authentication with GitHub repositories.
Reference:
https://docs.microsoft.com/en-us/azure/devops/repos/git/set-up-credential-managers

NEW QUESTION: 4
注：この質問は、同じまたは類似の回答の選択肢を使用する一連の質問の一部です。回答の選択は、シリーズ内の複数の質問に対して正しい場合があります。このシリーズの他の質問とは無関係に、それぞれの質問。質問に記載されている情報と詳細は、その質問にのみ適用されます。
あなたは会社のデータベース開発者です。この会社には、複数の物理ディスクを持つサーバーがあります。ディスクはRAIDアレイの一部ではありません。サーバーは3つのMicrosoft SQL Serverインスタンスをホストします。オフピーク時に実行される多くのSQLジョブがあります。
SQL Serverインスタンスをリアルタイムで監視し、スループット、応答時間、および全体的なSQLパフォーマンスを最大化するためにサーバーを最適化する必要があります。
SQL Serverへのパフォーマンスへの影響を最小限に抑えながら、クエリパフォーマンスデータを収集する必要があります。
あなたは何をするべきか？
A. 拡張イベントを作成します。
B. SQLプロファイラのトレースを作成します。
C. sys.dm_os_waiting_tasksクエリを作成してください。
D. パフォーマンスモニターデータコレクターセットを作成します。
E. sys.dm_exec_sessionsクエリを作成します。
F. sys.dm_os_memory_objectsクエリを作成します。
G. sp_configureの 'max server memory'クエリを作成します。
H. sys.dm_os_wait_statsクエリを作成します。
Answer: D
Explanation:
Explanation
SQL Server Data Collector is a feature for performance monitoring and tuning available in SQL Server Management Studio.
Integration Services packages transform and load the collected data into the Microsoft Data Warehouse database.
Collection sets are defined and deployed on a server instance and can be run independently of each other. Each collection set can be applied to a target that matches the target types of all the collector types that are part of a collection set. The collection set is run by a SQL Server Agent job or jobs, and data is uploaded to the management data warehouse on a predefined schedule.
Predefined data collection sets include:
* The Query Statistics data collection set collects information about query statistics, activity, execution plans and text on the SQL Server instance. It does not store all executed statements, only 10 worst performing ones.
* Disk Usage data collection set collects information about disk space used by both data and log files for all databases on the SQL Server instance, growth trends, and average day growth.
Etc.
References:
http://www.sqlshack.com/sql-server-performance-monitoring-data-collector/