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NEW QUESTION: 1
Which two methods can you use to aggregate measures at the section level in BusinessObjects Web Intelligence XI 3.0? (Choose two.)
A. While pressing the ALT key, drag the measure from the table to the section header.
B. While pressing the CTRL key, drag the measure from the table to the section header.
C. Copy the measure from the Data tab into the section header.
D. Drag the measure from the Data tab into the section header.
NEW QUESTION: 2
The current Dress4win system architecture has high latency to some customers because it is located in
one data center.
As of a future evaluation and optimizing for performance in the cloud, Dresss4win wants to distribute its
system architecture to multiple locations when Google cloud platform.
Which approach should they use?
A. Use regional managed instance groups and a global load balancer to increase reliability by providing
automatic failover between zones in different regions.
B. Use a global load balancer with a set of virtual machines that forward the requests to a closer group of
virtual machines managed by your operations team.
C. Use regional managed instance groups and a global load balancer to increase performance because
the regional managed instance group can grow instances in each region separately based on traffic.
D. Use a global load balancer with a set of virtual machines that forward the requests to a closer group of
virtual machines as part of a separate managed instance groups.
Dress4win is a web-based company that helps their users organize and manage their personal wardrobe
using a website and mobile application. The company also cultivates an active social network that
connects their users with designers and retailers. They monetize their services through advertising, e-
commerce, referrals, and a freemium app model. The application has grown from a few servers in the
founder's garage to several hundred servers and appliances in a collocated data center. However, the
capacity of their infrastructure is now insufficient for the application's rapid growth. Because of this growth
and the company's desire to innovate faster. Dress4Win is committing to a full migration to a public cloud.
For the first phase of their migration to the cloud, Dress4win is moving their development and test
environments. They are also building a disaster recovery site, because their current infrastructure is at a
single location. They are not sure which components of their architecture they can migrate as is and which
components they need to change before migrating them.
Existing Technical Environment
The Dress4win application is served out of a single data center location. All servers run Ubuntu LTS
MySQL. 1 server for user data, inventory, static data:
- MySQL 5.8
- 8 core CPUs
- 128 GB of RAM
- 2x 5 TB HDD (RAID 1)
Redis 3 server cluster for metadata, social graph, caching. Each server is:
- Redis 3.2
- 4 core CPUs
- 32GB of RAM
40 Web Application servers providing micro-services based APIs and static content.
- Tomcat - Java
- 4 core CPUs
- 32 GB of RAM
20 Apache Hadoop/Spark servers:
- Data analysis
- Real-time trending calculations
- 8 core CPUS
- 128 GB of RAM
- 4x 5 TB HDD (RAID 1)
3 RabbitMQ servers for messaging, social notifications, and events:
- 8 core CPUs
- 32GB of RAM
- Jenkins, monitoring, bastion hosts, security scanners
- 8 core CPUs
- 32GB of RAM
iSCSI for VM hosts
Fiber channel SAN - MySQL databases
- 1 PB total storage; 400 TB available
NAS - image storage, logs, backups
- 100 TB total storage; 35 TB available
Build a reliable and reproducible environment with scaled parity of production.
Improve security by defining and adhering to a set of security and Identity and Access Management
(IAM) best practices for cloud.
Improve business agility and speed of innovation through rapid provisioning of new resources.
Analyze and optimize architecture for performance in the cloud.
Easily create non-production environment in the cloud.
Implement an automation framework for provisioning resources in cloud.
Implement a continuous deployment process for deploying applications to the on-premises datacenter
Support failover of the production environment to cloud during an emergency.
Encrypt data on the wire and at rest.
Support multiple private connections between the production data center and cloud environment.
Our investors are concerned about our ability to scale and contain costs with our current infrastructure.
They are also concerned that a competitor could use a public cloud platform to offset their up-front
investment and free them to focus on developing better features. Our traffic patterns are highest in the
mornings and weekend evenings; during other times, 80% of our capacity is sitting idle.
Our capital expenditure is now exceeding our quarterly projections. Migrating to the cloud will likely cause
an initial increase in spending, but we expect to fully transition before our next hardware refresh cycle. Our
total cost of ownership (TCO) analysis over the next 5 years for a public cloud strategy achieves a cost
reduction between 30% and 50% over our current model.
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