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NEW QUESTION: 1
注：この質問は、同じシナリオを提示する一連の質問の一部です。シリーズの各質問には、記載された目標を達成する可能性のある独自のソリューションが含まれています。一部の質問セットには複数の正しい解決策がある場合もあれば、正しい解決策がない場合もあります。
このセクションの質問に回答すると、その質問に戻ることはできません。その結果、これらの質問はレビュー画面に表示されません。
contoso.comという名前のオンプレミスActive Directoryドメインがあります。
Windows Serverを実行するServer1という名前のサーバーにAzure AD Connectをインストールして実行します。
Azure AD Connectイベントを表示する必要があります。
Server1のディレクトリサービスイベントログを使用します。
それは目標を達成していますか？
A. いいえ
B. はい
Answer: A
Explanation:
Explanation
References:
https://support.pingidentity.com/s/article/PingOne-How-to-troubleshoot-an-AD-Connect-Instance

NEW QUESTION: 2
You have just been given a scope for a new client who has an enormous amount of data(petabytes) that he constantly needs analysed. Currently he is paying a huge amount of money for a data warehousing company to do this for him and is wondering if AWS can provide a cheaper solution. Do you think AWS has a solution for this?
A. Yes. Your choice of relational AMIs on Amazon EC2 and EBS
B. No. Not presently
C. Yes. Amazon Redshift
D. Yes. Amazon SimpleDB
Answer: C
Explanation:
Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools. You can start small for just $0.25 per hour with no commitments or upfront costs and scale to a petabyte or more for $1,000 per terabyte per year, less than a tenth of most other data warehousing solutions. Amazon Redshift delivers fast query performance by using columnar storage technology to improve I/O efficiency and parallelizing queries across multiple nodes. Redshift uses standard PostgreSQL JDBC and ODBC drivers, allowing you to use a wide range of familiar SQL clients. Data load speed scales linearly with cluster size, with integrations to Amazon S3, Amazon DynamoDB, Amazon Elastic MapReduce, Amazon Kinesis or any SSH- enabled host.
Reference: https://aws.amazon.com/running_databases/#redshift_anchor

NEW QUESTION: 3
Drag and Drop Questions
Select and Place:

Answer:
Explanation:

Section: Drag and Drop
Explanation/Reference: