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NEW QUESTION: 1
条件テクニックを使用したメッセージ決定を使用しています。 SAP Materials Managementのこのプロセスに含めることができるドキュメントフィールドはどれですか。
この質問には2つの正解があります。応答：
A. 材料グループ
B. 植物
C. 会社コード
D. 購買グループ
Answer: B,C
NEW QUESTION: 2
企業は、オンプレミスデータセンターの仮想マシンで103の基幹業務アプリケーションを実行しています。アプリケーションの多くは単純なPHP、Java、またはRuby Webアプリケーションであり、もはや積極的に開発されておらず、ほとんどトラフィックを処理しません。
これらのアプリケーションを最も低いインフラストラクチャコストでAWSに移行するには、どのアプローチを使用する必要がありますか？
A. ロードバランサーを使用せずに、シングルインスタンスAWS Elastic Beanstalk環境にアプリケーションをデプロイします。
B. AWS SMSを使用して、各仮想マシンのAMIを作成し、Amazon EC2で実行します。
C. VM Import / Exportを使用して、各仮想マシンのAMIを作成し、カスタムイメージを設定してシングルインスタンスAWS Elastic Beanstalk環境で実行します。
D. 各アプリケーションをDockerイメージに変換し、Application Load Balancerの背後にある小さなAmazon ECSクラスターにデプロイします。
Answer: A
Explanation:
Explanation
https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/using-features-managing-env-types.html
NEW QUESTION: 3
A. Option D
B. Option B
C. Option A
D. Option C
Answer: B
Explanation:
By enabling sticky port security, you can configure an interface to convert the dynamic MAC addresses to sticky secure MAC addresses and to add them to the running configuration. You might want to do this if you do not expect the user to move to another port, and you want to avoid statically configuring a MAC address on every port. To enable sticky port security, enter the switchport port-security mac-address sticky command. When you enter this command, the interface converts all the dynamic secure MAC addresses, including those that were dynamically learned before sticky learning was enabled, to sticky secure MAC addresses. The sticky secure MAC addresses do not automatically become part of the configuration file, which is the startup configuration used each time the switch restarts. If you save the running config file to the configuration file, the interface does not need to relearn these addresses when the switch restarts. If you do not save the configuration, they are lost.
Reference:
http://www.cisco.com/en/US/docs/switches/lan/catalyst4500/12.2/53SG/configuration/port_sec.htm l#wp1047668
NEW QUESTION: 4
You are designing a data warehouse with two fact tables. The first table contains sales per month and the second table contains orders per day.
Referential integrity must be enforced declaratively.
You need to design a solution that can join a single time dimension to both fact tables.
What should you do?
A. Create a time dimension that can join to both fact tables at their respective granularity.
B. Create a surrogate key for the time dimension.
C. Create a view on the sales table.
D. Join the two fact tables.
Answer: B
Explanation:
With dimensionally modeled star schemas or snowflake schemas, decision support queries follow a typical pattern: the query selects several measures of interest from the fact table, joins the fact rows with one or several dimensions along the surrogate keys, places filter predicates on the business columns of the dimension tables, groups by one or several business columns, and aggregates the measures retrieved from the fact table over a period of time. The following demonstrates this pattern, which is also sometimes referred to as a star join query: select ProductAlternateKey, CalendarYear,sum(SalesAmount) from FactInternetSales Fact join DimTime on Fact.OrderDateKey = TimeKey join DimProduct on DimProduct.ProductKey = Fact.ProductKey where CalendarYear between 2003 and 2004 and ProductAlternateKey like 'BK%' group by ProductAlternateKey,CalendarYear