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NEW QUESTION: 1
You are the inventory control superuser of a warehouse and need to audit all the cycle count activities done by the operators before they are communicated to the host system from WMS Cloud.
You are responsible for the cycle count functionality configuration of the warehouse as well. This warehouse was newly bought by your company.
Your company is a 3PL and this new warehouse will be used for a new client of your company. Which four tasks do you need to complete?
A. Create a Cycle Count RF screen with the parameter auto-approve-mode set to on.
B. Audit the Pending records on the Cycle Count Adjustment screen.
C. Set the company parameter invn_adj_approval_required to yes for the company that you are configuring.
D. Create a Cycle Count RF screenwith the parameter auto-approve-mode set to off.
E. Set the company parameter invn_adj_approval_required to yes for your company.
F. Set the facility parameter invn_adj_approval_REQuired to yes for the new warehouse.
Answer: A,B,C,E
NEW QUESTION: 2
You are required to migrate your 11.2.0.3 database to an Oracle 12c database.
Examine the list of steps that might be used to accomplish this task:
1. Place all user-defined tablespaces in read-only mode on the source database.
2. Use the RMAN convert command to convert data files to the target platform's endian format, if required.
3. Perform a full transportable export on the source database with the parameters
VERSI0N=12, TRANSPORTABLE=ALWAYS, and FULL=Y.
4. Transport the data files for all the user-defined tablespaces.
5. Transport the export dump file to the target database.
6. Perform an import on the target database by using the full, network_link, and transportable_datafiles
parameters.
7. Perform an import on the target database by using the full and transportable_datafiles parameters.
Identify the required steps in the correct order.
A. 1, 2,4, and 7
B. 1, 3, 5, 4, 2, and 7
C. 1, 2, 4, 6, 5, 3, and 7
D. 2, 4, 5, 6, and 7
Answer: B
NEW QUESTION: 3
53 대기 시간 기반 라우팅을 통해 UDP 기반 애플리케이션으로 요청을 라우팅하여 전 세계 사용자에게 애플리케이션을 호스팅합니다. 애플리케이션은 미국 아시아 및 유럽에있는 회사의 온 프레미스 데이터 센터에있는 중복 서버에서 호스팅됩니다. 회사의 규정 준수 요구 사항은 애플리케이션이 온 프레미스에서 호스팅되어야 함 회사는 애플리케이션의 성능과 가용성을 개선하고자합니다. 솔루션 아키텍트는 이러한 요구 사항을 충족하기 위해 무엇을해야합니까?
A. 온 프레미스 엔드 포인트를 무선으로 연결하기 위해 3 개의 AWS 리전에 3 개의 애플리케이션로드 밸런서 (ALG)를 구성합니다. AWS Global Accelerator를 사용하여 액셀러레이터를 생성하고 ALB를 엔드 포인트로 등록 액셀러레이터 UNS를 가리키는 CNAK1L을 사용하여 애플리케이션에 대한 액세스 제공
B. 온 프레미스 엔드 포인트를 처리하기 위해 3 개의 AWS 리전에 3 개의 ALB (Application Load Balancer)를 구성합니다. Route 53에서 3 개의 ALU를 가리키는 지연 시간 기반 레코드를 생성하고이를 Amazon CloudFront 배포의 오리진으로 사용 CloudFront DNS를 가리키는 CNAMF를 사용하여 애플리케이션에 대한 액세스를 제공합니다.
C. 3 개의 AWS 리전에서 3 개의 NLO (Network Load Balancer)를 구성하여 Route 53에서 온 프레미스 엔드 포인트를 처리합니다. 3 개의 NLB를 가리키는 지연 시간 기반 레코드를 생성합니다. Amazon CloudFront 배포의 오리진으로 사용 CloudFront DNS를 가리키는 CNAML을 사용하여 애플리케이션에 대한 액세스를 제공합니다.
D. 온 프레미스 엔드 포인트를 처리하도록 3 개 AWS 리전에서 네트워크로드 밸런서 (NLB) 구성 AWS Global Accelerator를 사용하여 액셀러레이터를 생성하고 NLB를 엔드 포인트로 등록합니다. 가속기 DNS를 가리키는 CNAML을 사용하여 애플리케이션에 대한 액세스를 제공합니다.
Answer: C
NEW QUESTION: 4
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 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 Load Balancing, Cloud Dataflow, and Cloud Storage
B. Cloud Pub/Sub, Cloud SQL, and Cloud Storage
C. Cloud Pub/Sub, Cloud Dataflow, and Local SSD
D. Cloud Pub/Sub, Cloud Dataflow, and Cloud Storage
Answer: B