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The product owner wants to build security firewalls into the product. How can the team members support this?
A. Ask questions to determine if the product owner can define the desired level of security.
B. Execute a spike to research security features for the project.
C. Add new security features to the backlog and prioritize.
D. Ask questions to determine where and how the product owner wants to use the product.
Answer: D

MJTelco Case Study
Company Overview
MJTelco is a startup that plans to build networks in rapidly growing, underserved markets around the world.
The company has patents for innovative optical communications hardware. Based on these patents, they can create many reliable, high-speed backbone links with inexpensive hardware.
Company Background
Founded by experienced telecom executives, MJTelco uses technologies originally developed to overcome communications challenges in space. Fundamental to their operation, they need to create a distributed data infrastructure that drives real-time analysis and incorporates machine learning to continuously optimize their topologies. Because their hardware is inexpensive, they plan to overdeploy the network allowing them to account for the impact of dynamic regional politics on location availability and cost.
Their management and operations teams are situated all around the globe creating many-to-many relationship between data consumers and provides in their system. After careful consideration, they decided public cloud is the perfect environment to support their needs.
Solution Concept
MJTelco is running a successful proof-of-concept (PoC) project in its labs. They have two primary needs:
* Scale and harden their PoC to support significantly more data flows generated when they ramp to more than 50,000 installations.
* Refine their machine-learning cycles to verify and improve the dynamic models they use to control topology definition.
MJTelco will also use three separate operating environments - development/test, staging, and production - to meet the needs of running experiments, deploying new features, and serving production customers.
Business Requirements
* Scale up their production environment with minimal cost, instantiating resources when and where needed in an unpredictable, distributed telecom user community.
* Ensure security of their proprietary data to protect their leading-edge machine learning and analysis.
* Provide reliable and timely access to data for analysis from distributed research workers
* Maintain isolated environments that support rapid iteration of their machine-learning models without affecting their customers.
Technical Requirements
Ensure secure and efficient transport and storage of telemetry data
Rapidly scale instances to support between 10,000 and 100,000 data providers with multiple flows each.
Allow analysis and presentation against data tables tracking up to 2 years of data storing approximately 100m records/day Support rapid iteration of monitoring infrastructure focused on awareness of data pipeline problems both in telemetry flows and in production learning cycles.
CEO Statement
Our business model relies on our patents, analytics and dynamic machine learning. Our inexpensive hardware is organized to be highly reliable, which gives us cost advantages. We need to quickly stabilize our large distributed data pipelines to meet our reliability and capacity commitments.
CTO Statement
Our public cloud services must operate as advertised. We need resources that scale and keep our data secure.
We also need environments in which our data scientists can carefully study and quickly adapt our models.
Because we rely on automation to process our data, we also need our development and test environments to work as we iterate.
CFO Statement
The project is too large for us to maintain the hardware and software required for the data and analysis. Also, we cannot afford to staff an operations team to monitor so many data feeds, so we will rely on automation and infrastructure. Google Cloud's machine learning will allow our quantitative researchers to work on our high-value problems instead of problems with our data pipelines.
You create a new report for your large team in Google Data Studio 360. The report uses Google BigQuery as its data source. It is company policy to ensure employees can view only the data associated with their region, so you create and populate a table for each region. You need to enforce the regional access policy to the data.
Which two actions should you take? (Choose two.)
A. Adjust the settings for each table to allow a related region-based security group view access.
B. Adjust the settings for each dataset to allow a related region-based security group view access.
C. Ensure all the tables are included in global dataset.
D. Ensure each table is included in a dataset for a region.
E. Adjust the settings for each view to allow a related region-based security group view access.
Answer: D,E

You are working with an IT department that has embraced Service-Oriented Integration (SOI). The development team has created a catalog of services that rigidly follow the layering of the SOI architecture as illustrated by the Logical View. Clients are allowed to call only Business Process Services, Business Process Services only call Business Services, Business Services only call Data Services, and so on, with each call going through the Mediation Layer. Unfortunately, the quality assurance team has discovered during user acceptance testing that the latency of applications the Business Process Services is unacceptable.
What advice would you give the development team to help reduce the latency without sacrificing adherence to the SOI architecture?
A. Remove all data transformation from the Mediation Layer because data transformations are too computationally expensive, where required, change the interface of the SOA Services to use a single data model so that data transformations are not needed.
B. Change the SOA Services to bypass the Mediation Layer when calling other SOA Services. The Mediation Layer should be used only between the clients and the SOA Services. The Mediation Layer should not be used between SOA Services.
C. Allow clients and SOA Services to use large-granularity operations. Each operation on the Business Process Service should return an entire data entity or multiple data entities. This reduces the number of client calls required and, therefore, the overall latency.
D. The developers are accurately following the SOI architecture. Reducing the latency will require that some of the SOI architecture concepts be relaxed or violated.
Answer: C
Reducing the number of calls could reduce latency.
Note: The Mediation Layer provides loose coupling for the entire architecture. It decouples
the layers of the architecture as well as decoupling external users of the layers from the
specific layers in the architecture.
The primary purpose of this layer in the architecture is to facilitate communication
between layers in the architecture and between this architecture and the systems that
connect to this architecture. This layer is infrastructure in the truest sense and therefore
rarely maps directly to business requirements. However, this layer provides key
capabilities that make the architecture service oriented and is the primary focus for
meeting non-functional requirements such as scalability, reliability, availability,
maintainability, etc.
Reference: Oracle Reference Architecture, Service-Oriented Integration, Release 3.0

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