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NEW QUESTION: 1
You are a subject matter expert for an insurance company. You have a complex business method that is used for settling and releasing claims.
You need to create a process in Microsoft Dynamics 365 to assist team members with the claims settlement process. You must limit this process to team members that have a specific security role.
What should you implement?
A. business process flow (BPF)
B. workflows
C. dialogs
D. custom actions
Answer: A

NEW QUESTION: 2
Batch jobs regularly fail when they are in the process of inserting a large number of rows into a DECLARE
GLOBAL TEMPORARY TABLE. (DGTT) Which two statements accurately describe what could be
causing this problem? (Choose two.)
A. The WORKFILE database is too small.
B. The table space that was selected to store the DGTT in the TEMP database is too small to store all the
rows of the DGTT.
C. There are too many DB2 utilities running at the same time as the job inserting rows into the DGTT.
D. There is too much concurrent activity against the TEMP database to be able to handle all the DGTT
activity that is going on.
E. The user is exceeding the maximum amount of temporary space that can be used by an agent
(MAXTEMPS) DSNZPARM setting.
Answer: A,E

NEW QUESTION: 3
この質問については、TerramEarthのケーススタディを参照してください。
環境条件に応じて、TerramEarthの各車両で油圧などの操作パラメーターを調整して、効率を高めることができます。あなたの主な目標は、フィールド内の2000万台のセルラーおよび非接続車両すべての動作効率を高めることです。この目標をどのように達成できますか？
A. スライドウィンドウを使用してGoogle Cloud Dataflowストリーミングジョブを実装し、Google Cloud Messaging（GCM）を使用して運用上の調整を自動的に行います。
B. すべての操作データをキャプチャし、理想的な操作を識別する機械学習モデルをトレーニングし、Google Cloud Machine Learning（ML）プラットフォームでホストして、操作を自動的に調整します。
C. すべての動作データをキャプチャし、理想的な動作を識別する機械学習モデルをトレーニングし、ローカルで実行して動作調整を自動的に行います。
D. エンジニアにデータのパターンを検査してもらい、運用上の調整を自動的に行うルールを使用してアルゴリズムを作成します。
Answer: C
Explanation:
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トピック2、JencoMartのケーススタディ
会社概要
JencoMartは、16か国に10,000を超える店舗を展開するグローバルな小売業者です。店には、食料品、タイヤ、宝石など、さまざまな商品があります。同社のコアバリューの1つは、優れた顧客サービスです。さらに、最近5年間で炭素排出量を50％削減する環境政策を導入しました。
会社背景
JencoMartは1931年に雑貨店としてスタートし、大きな価値とカスタマーサービスで知られる世界有数のブランドの1つに成長しました。時間が経つにつれて、同社は実店舗のみから店舗とオンラインハイブリッドモデルに移行し、売上の25％がオンラインになりました。現在、ジェンコマートはアジアでほとんど存在していませんが、将来の成長のためにその市場の鍵を考えています。
ソリューションコンセプト
JencoMartは、いくつかの重要なアプリケーションをクラウドに移行したいと考えていますが、クラウドと移行に必要なエンジニアリングへの適合性を判断するための技術レビューを完了していません。現在、これらのアプリケーションはすべて、サポート終了のインフラストラクチャ上でホストされています。
既存の技術環境
JencoMartは、すべてのアプリケーションを4つのデータセンターでホストしています。北米に3つ、ヨーロッパに1つ、ほとんどのアプリケーションはデュアルホームです。
JencoMartは、オンプレミスアーキテクチャの依存関係とリソース使用量のメトリックを理解しています。
アプリケーションカスタマーロイヤルティポータル
LAMP（Linux、Apache、MySQL、PHP）アプリケーションは、JencoMartが所有する2つの米国のデータセンターから提供されました。
データベース
* Oracle Database stores user profiles
* 20 TB
* Complex table structure
* Well maintained, clean data
* Strong backup strategy
* PostgreSQL database stores user credentials
* Single-homed in US West
No redundancy
Backed up every 12 hours
* 100% uptime service level agreement (SLA)
* Authenticates all users
Compute
* 30 machines in US West Coast, each machine has:
Twin, dual core CPUs
32GB of RAM
* Twin 250 GB HDD (RAID 1)
* 20 machines in US East Coast, each machine has:
Single dual-core CPU
24 GB of RAM
* Twin 250 GB HDD (RAID 1)
Storage
* Access to shared 100 TB SAN in each location
* Tape backup every week
Business Requirements
* Optimize for capacity during peak periods and value during off-peak periods
* Guarantee service availably and support
* Reduce on-premises footprint and associated financial and environmental impact.
* Move to outsourcing model to avoid large upfront costs associated with infrastructure purchase
* Expand services into Asia.
Technical Requirements
* Assess key application for cloud suitability.
* Modify application for the cloud.
* Move applications to a new infrastructure.
* Leverage managed services wherever feasible
* Sunset 20% of capacity in existing data centers
* Decrease latency in Asia
CEOの声明
JencoMartは、より多くの人々がWebにアクセスするにつれて、顧客との個人的な関係を発展させ続けます。
小売事業の未来はグローバル市場にあり、オンライン体験と店内体験のつながりです。大規模なグローバル企業として、私たちは「グリーン」イニシアチブとポリシーを通じて環境に対する責任も負っています。
CTOステートメント
データセンターを運用する際の課題により、当社の長期的な成功に不可欠な主要テクノロジーへの集中が妨げられています。
データサービスをパブリッククラウドインフラストラクチャに移行すると、ビッグデータと機械学習に集中してサービスの顧客を改善できます。
CFOステートメント
JencoMartは設立以来、データサービスインフラストラクチャに多額の投資を行ってきました。ただし、市場動向の変化により、長期的な成功を確保するためにインフラストラクチャを外部委託する必要があります。このモデルにより、ピーク時に増加する顧客需要に対応し、コストを削減できます。

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