Questions and Answers: 166
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NEW QUESTION: 1
クラウドサービスは、従来のコンピューティングアプローチとの関係との違いを示す5つの重要な特性を示します。 5つの特性のうちどれを説明するか：コンシューマーは、サーバー時間やネットワークストレージなどのコンピューティング機能を必要に応じて一方的にプロビジョニングできます。
A. 幅広いネットワークアクセス
B. オンデマンドのセルフサービス
C. 測定サービス
D. リソースプーリング
E. 弾力性
Answer: B
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
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's management has determined that the current Apache Kafka servers cannot handle the data volume for their real-time inventory tracking system. You need to build a new system on Google Cloud Platform (GCP) that will feed the proprietary tracking software. The system must be able to ingest data from a variety of global sources, process and query in real-time, and store the data reliably. Which combination of GCP products should you choose?
A. Cloud Dataflow, Cloud SQL, and Cloud Storage
B. Cloud Pub/Sub, Cloud Dataflow, and Local SSD
C. Cloud Pub/Sub, Cloud Dataflow, and Cloud Storage
D. Cloud Pub/Sub, Cloud SQL, and Cloud Storage
E. Cloud Load Balancing, Cloud Dataflow, and Cloud Storage
Answer: D
NEW QUESTION: 3
참고 :이 섹션에서는 동일한 시나리오와 문제가있는 하나 이상의 질문 집합을 볼 수 있습니다. 각 질문은 문제에 대한 고유 한 해결책을 제시하며 솔루션이 명시된 목표를 충족시키는 지 여부를 결정해야 합니다. 하나 이상의 솔루션으로 문제를 해결할 수 있습니다. 해결책 중 어느 것도 문제를 해결할 수 없는 경우도 있습니다.
이 섹션의 질문에 답하면 다시 돌아올 수 없습니다. 결과적으로 이러한 질문은 검토 화면에 나타나지 않습니다.
참고 :이 질문은 동일한 시나리오를 제시하는 일련의 질문 중 일부입니다. 시리즈의 각 질문에는 고유한 솔루션이 포함되어 있습니다. 솔루션이 명시된 목표를 충족하는지 확인하십시오.
LabelMaker 응용 프로그램 보안 요구 사항을 충족해야 합니다.
해결책 : RoleBinding을 만들어 Azure AD 계정에 할당하십시오.
솔루션이 목표를 달성합니까?
A. 예
B. 아니오
Answer: B
Explanation:
설명
시나리오 : AKS (Azure Kubernetes Service) 클러스터의 모든 네임 스페이스에 대한 전체 액세스 권한이 있는 AAD 계정을 사용하여 LabelMaker 응용 프로그램을 보호해야 합니다.
사용 권한은 RoleBinding이 있는 네임 스페이스 또는 ClusterRoleBinding이있는 클러스터 전체에서 부여 할 수 있습니다.
참고 문헌 :
https://kubernetes.io/docs/reference/access-authn-authz/rbac/