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NEW QUESTION: 1
Case Study 1 - Flowlogistic
Company Overview
Flowlogistic is a leading logistics and supply chain provider. They help businesses throughout the world manage their resources and transport them to their final destination. The company has grown rapidly, expanding their offerings to include rail, truck, aircraft, and oceanic shipping.
Company Background
The company started as a regional trucking company, and then expanded into other logistics market.
Because they have not updated their infrastructure, managing and tracking orders and shipments has become a bottleneck. To improve operations, Flowlogistic developed proprietary technology for tracking shipments in real time at the parcel level. However, they are unable to deploy it because their technology stack, based on Apache Kafka, cannot support the processing volume. In addition, Flowlogistic wants to further analyze their orders and shipments to determine how best to deploy their resources.
Solution Concept
Flowlogistic wants to implement two concepts using the cloud:
* Use their proprietary technology in a real-time inventory-tracking system that indicates the location of their loads
* Perform analytics on all their orders and shipment logs, which contain both structured and unstructured data, to determine how best to deploy resources, which markets to expand info. They also want to use predictive analytics to learn earlier when a shipment will be delayed.
Existing Technical Environment
Flowlogistic architecture resides in a single data center:
* Databases
8 physical servers in 2 clusters
- SQL Server - user data, inventory, static data
3 physical servers
- Cassandra - metadata, tracking messages
10 Kafka servers - tracking message aggregation and batch insert
* Application servers - customer front end, middleware for order/customs
60 virtual machines across 20 physical servers
- Tomcat - Java services
- Nginx - static content
- Batch servers
* Storage appliances
- iSCSI for virtual machine (VM) hosts
- Fibre Channel storage area network (FC SAN) - SQL server storage
- Network-attached storage (NAS) image storage, logs, backups
* 10 Apache Hadoop /Spark servers
- Core Data Lake
- Data analysis workloads
* 20 miscellaneous servers
- Jenkins, monitoring, bastion hosts,
Business Requirements
* Build a reliable and reproducible environment with scaled panty of production.
* Aggregate data in a centralized Data Lake for analysis
* Use historical data to perform predictive analytics on future shipments
* Accurately track every shipment worldwide using proprietary technology
* Improve business agility and speed of innovation through rapid provisioning of new resources
* Analyze and optimize architecture for performance in the cloud
* Migrate fully to the cloud if all other requirements are met
Technical Requirements
* Handle both streaming and batch data
* Migrate existing Hadoop workloads
* Ensure architecture is scalable and elastic to meet the changing demands of the company.
* Use managed services whenever possible
* Encrypt data flight and at rest
* Connect a VPN between the production data center and cloud environment SEO Statement We have grown so quickly that our inability to upgrade our infrastructure is really hampering further growth and efficiency. We are efficient at moving shipments around the world, but we are inefficient at moving data around.
We need to organize our information so we can more easily understand where our customers are and what they are shipping.
CTO Statement
IT has never been a priority for us, so as our data has grown, we have not invested enough in our technology. I have a good staff to manage IT, but they are so busy managing our infrastructure that I cannot get them to do the things that really matter, such as organizing our data, building the analytics, and figuring out how to implement the CFO' s tracking technology.
CFO Statement
Part of our competitive advantage is that we penalize ourselves for late shipments and deliveries. Knowing where out shipments are at all times has a direct correlation to our bottom line and profitability. Additionally, I don't want to commit capital to building out a server environment.
Flowlogistic is rolling out their real-time inventory tracking system. The tracking devices will all send package-tracking messages, which will now go to a single Google Cloud Pub/Sub topic instead of the Apache Kafka cluster. A subscriber application will then process the messages for real-time reporting and store them in Google BigQuery for historical analysis. You want to ensure the package data can be analyzed over time.
Which approach should you take?
A. Use the automatically generated timestamp from Cloud Pub/Sub to order the data.
B. Attach the timestamp on each message in the Cloud Pub/Sub subscriber application as they are received.
C. Use the NOW () function in BigQuery to record the event's time.
D. Attach the timestamp and Package ID on the outbound message from each publisher device as they are sent to Clod Pub/Sub.
Answer: D

NEW QUESTION: 2
Sie haben einen Server mit dem Namen Server1, auf dem Windows Server 2016 ausgeführt wird. Server1 ist ein Hyper-V-Host, der eine virtuelle Maschine mit dem Namen VM1 hostet.
Server1 verfügt über drei Netzwerkadapterkarten, die mit den virtuellen Switches vSwitch1, vSwitch2 und vSwitch3 verbunden sind.
Sie konfigurieren NIC Teaming auf VM1 wie in der Ausstellung gezeigt. (Klicken Sie auf die Schaltfläche "Ausstellen".)

Sie müssen sicherstellen, dass VM1 den Zugriff auf das Netzwerk beibehält, wenn eine physische Netzwerkadapterkarte auf Server1 ausfällt.
Was tun?
A. Führen Sie in Windows PowerShell auf Server1 das Cmdlet aus.
B. Führen Sie in Windows PowerShell auf VM1 das Cmdlet Set-VmNetworkAdapterTeamMapping aus.
C. Führen Sie in Windows PowerShell auf Server1 das Cmdlet Set-VmSwitch aus.
D. Führen Sie in Windows PowerShell auf Server1 das Cmdlet Set-VmNetworkAdapterFailoverConfiguration aus
Answer: B

NEW QUESTION: 3
You receive a priority 1 trouble ticket that there is OSPF route instability in the data center core Cisco Nexus 7018 Switches. Which command is useful to help validate a theory that hello packets are being throttled?
A. N7018# show policy-map interface control-plane
B. N7018# show copp statistics
C. N7018# show class-map interface control-plane
D. N7018# show service-policy interface control-plane
E. N7018# show copp status
F. N7018# show control-plane class copp-system-class-critical
Answer: A

NEW QUESTION: 4
ケーススタディ：4-Dress4Winケーススタディ
会社概要
Dress4winは、ユーザーがウェブサイトやモバイルアプリケーションを使用して自分のワードローブを整理および管理できるようにするウェブベースの会社です。同社はまた、ユーザーとデザイナーや小売業者をつなぐアクティブなソーシャルネットワークも開拓しています。広告、eコマース、紹介、フリーミアムアプリモデルを通じて、サービスを収益化しています。
会社背景
Dress4winのアプリケーションは、創設者のガレージにある数台のサーバーから、同じ場所に配置されたデータセンターにある数百台のサーバーとアプライアンスに成長しました。ただし、そのインフラストラクチャの容量は、アプリケーションの急速な成長には不十分です。この成長とイノベーションを加速したいという同社の要望により、Dress4winはパブリッククラウドへの完全な移行に取り組んでいます。
ソリューションのコンセプト
クラウドへの移行の最初のフェーズとして、Dress4winは開発環境とテスト環境の移行を検討しています。現在のインフラストラクチャが単一の場所にあるため、災害復旧サイトの構築も検討しています。アーキテクチャのどのコンポーネントをそのまま移行できるのか、どのコンポーネントを移行する前に変更する必要があるのか​​は不明です。
既存の技術環境
Dress4winアプリケーションは、単一のデータセンターの場所から提供されます。
データベース：
MySQL-ユーザーデータ、インベントリ、静的データ

Redis-メタデータ、ソーシャルグラフ、キャッシュ

アプリケーションサーバー：
Tomcat-Javaマイクロサービス

Nginx-静的コンテンツ

Apache Beam-バッチ処理

ストレージアプライアンス：
VMホストのiSCSI

ファイバーチャネルSAN-MySQLデータベース

NAS-画像ストレージ、ログ、バックアップ

Apache Hadoop / Sparkサーバー：
データ分析

リアルタイムのトレンド計算

MQサーバー：
メッセージング

ソーシャル通知

イベント

その他のサーバー：
Jenkins、監視、要塞ホスト、セキュリティスキャナー

ビジネス要件

生産のスケーリングされたパリティを使用して、信頼性が高く再現可能な環境を構築します。クラウドの一連のセキュリティとIdentity and Access Management（IAM）のベストプラクティスを定義して遵守することにより、セキュリティを向上させます。
新しいリソースの迅速なプロビジョニングにより、ビジネスの俊敏性とイノベーションのスピードを向上させます。
クラウドでのパフォーマンスのためにアーキテクチャを分析および最適化します。他のすべての要件が満たされている場合は、クラウドに完全に移行します。
技術要件
クラウドでリソースをプロビジョニングするための自動化フレームワークを評価して選択します。緊急時の本番環境からクラウドへのフェイルオーバーをサポートします。容量を節約するためにクラウドに移行できる本番環境サービスを特定します。
可能な限りマネージドサービスを使用します。
通信中および保管中のデータを暗号化します。
本番データセンターとクラウド環境の間の複数のVPN接続をサポートします。
CEOの声明
私たちの投資家は、現在のインフラストラクチャでコストを拡大および抑制できるかどうかを懸念しています。また、新しい競合他社がパブリッククラウドプラットフォームを使用して先行投資を相殺し、より優れた機能の開発に集中できるようになることを懸念しています。
CTOの声明
現在のインフラストラクチャに多額の投資を行ってきましたが、機器の多くが耐用年数の終わりに近づいています。私たちは、新しいプロジェクトを開始する前に、新しいギアがラックに入れられるのを常に数週間待っています。私たちの交通パターンは、朝と週末の夜に最も高くなります。その他の時間帯は、容量の80％がアイドル状態です。
CFOの声明
現在、設備投資は四半期ごとの予測を上回っています。クラウドに移行すると、最初に支出が増加する可能性がありますが、次のハードウェア更新サイクルの前に完全に移行する予定です。今後5年間の総所有コスト（TCO）分析により、クラウド戦略は現在のモデルより30〜50％低くなります。
この質問については、Dress4Winのケーススタディを参照してください。
Dress4Winは、レガシーサービスのいくつかに対して、Google Stackdriverで新しい稼働時間チェックを設定しました。 Stackdriverダッシュボードは、サービスが正常であると報告していません。彼らは何をすべきか？
A. 値がGoogleStackdriverMonitoring-UptimeChecks（https://cloud.google.com/monitoring）と一致する場合に、User-Agent HTTPヘッダーを通過するようにロードバランサーを構成します。
B. すべてのレガシーウェブサーバーにStackdriverエージェントをインストールします。
C. Cloud Platform Consoleで稼働時間サーバーのIPアドレスのリストをダウンロードし、受信ファイアウォールルールを作成します
D. 値がGoogleStackdriverMonitoring-- UptimeChecks（https://cloud.google.com/monitoring）と一致する場合、user-Agent HTTPヘッダーを含むリクエストを許可するようにレガシーWebサーバーを構成します
Answer: C