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NEW QUESTION: 1
SAP資材管理で、品目マスタレコードと勘定割当K（原価センタ）を使用して、購買発注明細の評価入庫を転記するとどうなりますか？正しい答えを選んでください。
A. 購買発注で指定された消費勘定から借方記入されます。
B. 入出庫伝票は、会計伝票なしで作成されます。
C. システムは材料の在庫を増やします
D. 材料の移動平均価格が更新されます
Answer: A

NEW QUESTION: 2
A collaboration engineer is designing a Cisco Unity Connection network for a large client running 10 x. The client has 12 locations, each with their own Cisco Unity Connection cluster. Which two designs are valid?
(Choose two)
A. full-mesh topology with HTTPS Networking
B. hub-and-spoke topology with Unity Connection Digital Networking
C. six clusters each in two full-mesh Unity Connection Digital Networks connected with VPIM.
D. hub-and-spoke topology with HTTPS Networking
E. a 10-cluster Unity Connection Digital network connected to a 2-cluster HTTPS network
F. full-mesh topology with Unity Connection Digital Networking
Answer: C,D
Explanation:
Explanation/Reference:
Explanation:

NEW QUESTION: 3
A company is running a serverless application that consists of several AWS Lambda functions and Amazon DynamoDB tables. The company has created new functionality that requires the Lambda functions to access an Amazon Neptune DB cluster. The Neptune DB cluster is located in three subnets in a VPC.
Which of the possible solutions will allow the Lambda functions to access the Neptune DB cluster and DynamoDB tables? (Select TWO.)
A. Create three private subnets in the Neptune VPC, and route internet traffic through a NAT gateway. Host the Lambda functions in the three new private subnets.
B. Host the Lambda functions outside the VPC. Create a VPC endpoint for the Neptune database, and have the Lambda functions access Neptune over the VPC endpoint.
C. Create three private subnets in the Neptune VPC. Host the Lambda functions in the three new isolated subnets. Create a VPC endpoint for DynamoDB. and route DynamoDB traffic to the VPC endpoint.
D. Create three public subnets in the Neptune VPC, and route traffic through an internet gateway. Host the Lambda functions in the three new public subnets.
Answer: B,C

NEW QUESTION: 4
Case Study: 7 - Mountkirk Games
Company Overview
Mountkirk Games makes online, session-based, multiplayer games for mobile platforms. They build all of their games using some server-side integration. Historically, they have used cloud providers to lease physical servers.
Due to the unexpected popularity of some of their games, they have had problems scaling their global audience, application servers, MySQL databases, and analytics tools.
Their current model is to write game statistics to files and send them through an ETL tool that loads them into a centralized MySQL database for reporting.
Solution Concept
Mountkirk Games is building a new game, which they expect to be very popular. They plan to deploy the game's backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics, and take advantage of its autoscaling server environment and integrate with a managed NoSQL database.
Business Requirements
Increase to a global footprint.

Improve uptime - downtime is loss of players.

Increase efficiency of the cloud resources we use.

Reduce latency to all customers.

Technical Requirements
Requirements for Game Backend Platform
Dynamically scale up or down based on game activity.

Connect to a transactional database service to manage user profiles and game state.

Store game activity in a timeseries database service for future analysis.

As the system scales, ensure that data is not lost due to processing backlogs.

Run hardened Linux distro.

Requirements for Game Analytics Platform
Dynamically scale up or down based on game activity

Process incoming data on the fly directly from the game servers

Process data that arrives late because of slow mobile networks

Allow queries to access at least 10 TB of historical data

Process files that are regularly uploaded by users' mobile devices

Executive Statement
Our last successful game did not scale well with our previous cloud provider, resulting in lower user adoption and affecting the game's reputation. Our investors want more key performance indicators (KPIs) to evaluate the speed and stability of the game, as well as other metrics that provide deeper insight into usage patterns so we can adapt the game to target users.
Additionally, our current technology stack cannot provide the scale we need, so we want to replace MySQL and move to an environment that provides autoscaling, low latency load balancing, and frees us up from managing physical servers.
For this question, refer to the Mountkirk Games case study. You need to analyze and define the technical architecture for the compute workloads for your company, Mountkirk Games.
Considering the Mountkirk Games business and technical requirements, what should you do?
A. Create network load balancers. Use non-preemptible Compute Engine instances.
B. Create network load balancers. Use preemptible Compute Engine instances.
C. Create a global load balancer with managed instance groups and autoscaling policies. Use non- preemptible Compute Engine instances.
D. Create a global load balancer with managed instance groups and autoscaling policies. Use preemptible Compute Engine instances.
Answer: C