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NEW QUESTION: 1
Which statement describes using a Service Call control from the BPM Ul toolkit to invoke a service flow?
A. It is used to invoke a service that returns the data displayed in the table, never bound to variable, with on load, on service data loaded, on service data error events. It can be placed in client side human service coach page or inside coach view.
B. It is coupled with the human service in which it is used. It is created in the library area where User Interface library items are stored.
C. It is used to invoke a service without having to use boundary events and has an input and output variable with on load, on invoked, on result, on error events. It can be placed in client side human service coach page or inside coach view.
D. A Service flow which has an input and output variable and a service task activity inside it calling an implementation service.
Answer: D

NEW QUESTION: 2
企業のアプリケーションは、災害発生時に単一のリージョンのAmazon EC2インスタンスで実行されています。ソリューションアーキテクトは、リソースを2番目のリージョンにもデプロイできるようにする必要があります。ソリューションアーキテクトがこれを達成するために実行するアクションの組み合わせはどれですか。 （2つ選択）
A. 新しいリージョンで新しいEC2インスタンスを起動し、Amazon S3から新しいインスタンスにボリュームをコピーします
B. EC2インスタンスのボリュームをデタッチし、Amazon S3にコピーします
C. EC2インスタンスのAmazon MachineImage（AMI）をコピーし、宛先に別のリージョンを指定します
D. Amazon S3からAmazon Elastic Block Store（Amazon EBS）ボリュームをコピーし、そのEBSボリュームを使用して宛先リージョンでEC2インスタンスを起動します
E. 新しいリージョンのAmazon Machine Image（AMI）から新しいEC2インスタンスを起動します
Answer: C,E
Explanation:
Cross Region EC2 AMI Copy
We know that you want to build applications that span AWS Regions and we're working to provide you with the services and features needed to do so. We started out by launching the EBS Snapshot Copy feature late last year. This feature gave you the ability to copy a snapshot from Region to Region with just a couple of clicks. In addition, last month we made a significant reduction (26% to 83%) in the cost of transferring data between AWS Regions, making it less expensive to operate in more than one AWS region.
Today we are introducing a new feature: Amazon Machine Image (AMI) Copy. AMI Copy enables you to easily copy your Amazon Machine Images between AWS Regions. AMI Copy helps enable several key scenarios including:
Simple and Consistent Multi-Region Deployment - You can copy an AMI from one region to another, enabling you to easily launch consistent instances based on the same AMI into different regions.
Scalability - You can more easily design and build world-scale applications that meet the needs of your users, regardless of their location.
Performance - You can increase performance by distributing your application and locating critical components of your application in closer proximity to your users. You can also take advantage of region-specific features such as instance types or other AWS services.
Even Higher Availability - You can design and deploy applications across AWS regions, to increase availability.
Once the new AMI is in an Available state the copy is complete.
https://aws.amazon.com/blogs/aws/ec2-ami-copy-between-regions/

NEW QUESTION: 3
You are a VMware technical consultant for an application development project. The system consists of a multitier application. The team consists of you, five developers, and a project manager. At the project kickoff meeting, you are tasked with creating the servers for each stage
of the
development
life cycle
the
team is using: development, testing, staging, and production. During the meeting, you come to the conclusion that the technical specifications have yet to be defined or will likely change. Which of the following scaling approaches for guest workload design would be most appropriate?
A. Predictive
B. Adaptive
Answer: B
Explanation:
There are two types of scaling approaches in virtual platforms:
adaptive and predictive. Both approaches are usable; however, a designer must work out which is the best approach for each project. The adaptive approach to guest virtual
machine design is a major advantage that virtualization technology brings to a datacenter. It allows a guest virtual machine to be created initially on a few metrics or high-level requirements
(such as a limited
budget) and
scaled (that is, grown, not shrunk) through the virtual machine life cycle. In many cases, this scaling can be performed hot/live without outage/downtime
to the running applications.
The
predictive approach, on the other hand, requires more planning and research, and you must know the metrics before deployment. The advantage here is that once the virtual machine
has
been deployed, only application
maintenance
is required. The application requirements are known.