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NEW QUESTION: 1
企業がAWS CodeDeployを使用してソフトウェアの展開を自動化しています。展開は次の要件を満たしている必要があります。
*展開中にトラフィックを処理するには、いくつかのインスタンスが利用可能でなければなりません。これらのインスタンス間でトラフィックのバランスを取る必要があり、障害が発生した場合、インスタンスは自動的に回復する必要があります。
*手動でプロビジョニングせずに、新しいリビジョンを自動的に展開するには、インスタンスの新しいフリートを起動する必要があります。
*トラフィックは、一度に新しいインスタンスの半分に新しい環境に再ルーティングする必要があります。トラフィックが少なくとも半分のインスタンスに再ルーティングされる場合、展開は成功するはずです。そうでなければ、失敗するはずです。
*トラフィックを新しいインスタンス群にルーティングする前に、展開プロセス中に生成された一時ファイルを削除する必要があります。
*展開が正常に終了したら、コストを削減するために、展開グループの元のインスタンスをすぐに削除する必要があります。
DevOpsエンジニアはどのようにしてこれらの要件を満たすことができますか？
A. Application Load Balancerとブルー/グリーン展開を使用します。 Auto ScalingグループとApplication Load Balancerターゲットグループを展開グループに関連付けます。 Auto Scalingグループを自動的にコピーオプションを使用し、50％として定義された最小の正常なホストでカスタム展開構成を作成し、展開グループに構成を割り当てます。デプロイグループの元のインスタンスを終了するようにAWS CodeDeployに指示し、appsec.yml内のBeforeBlock Trafficフックを使用して一時ファイルを削除します。
B. Application Load Balancerとブルー/グリーン展開を使用します。 Auto ScalingグループとApplication Load Balancerターゲットグループを展開グループに関連付けます。 Auto Scalingグループを自動的にコピーオプションを使用し、CodeDeployDefault HalfAtAtimeを展開構成として使用します。
デプロイグループ内の元のインスタンスを終了するようにAWS CodeDeployに指示し、appspec.yml内のBeforeAllowTrafficフックを使用して一時ファイルを削除します。
C. Application Load Balancerとインプレース展開を使用します。 Auto Scalingグループを展開グループに関連付けます。 [自動コピー]オプションを使用し、CodeDeployDefault.OneAtAtimeを展開構成として使用します。デプロイグループ内の元のAuto Scalingグループインスタンスを終了するようにAWS CodeDeployに指示し、appspec.yml内のAllowTrafficフックを使用して一時ファイルを削除します。
D. Application Load Balancerとインプレース展開を使用します。 Auto ScalingグループとApplication Load Balancerターゲットグループを展開グループに関連付けます。 Auto Scalingグループを自動的にコピーするオプションを使用し、CodeDeployDefault AllatOnceを展開構成として使用します。デプロイグループの元のインスタンスを終了するようにAWS CodeDeployに指示し、appsec.yml内のBlockTrafficフックを使用して一時ファイルを削除します。
Answer: C

NEW QUESTION: 2
Flowlogistic Case Study
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
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's CEO wants to gain rapid insight into their customer base so his sales team can be better informed in the field. This team is not very technical, so they've purchased a visualization tool to simplify the creation of BigQuery reports. However, they've been overwhelmed by all the data in the table, and are spending a lot of money on queries trying to find the data they need. You want to solve their problem in the most cost-effective way. What should you do?
A. Create a view on the table to present to the virtualization tool.
B. Create identity and access management (IAM) roles on the appropriate columns, so only they appear in a query.
C. Create an additional table with only the necessary columns.
D. Export the data into a Google Sheet for virtualization.
Answer: A

NEW QUESTION: 3
Refer to the exhibit.

A Customer is designing FAST policies to be implemented. Which FAST policy is valid?
A. Policy 4
B. Policy 1
C. Policy 2
D. Policy 3
Answer: A