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NEW QUESTION: 1
Case Study: 2 - MJTelco
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.
MJTelco's Google Cloud Dataflow pipeline is now ready to start receiving data from the 50,000 installations. You want to allow Cloud Dataflow to scale its compute power up as required. Which Cloud Dataflow pipeline configuration setting should you update?
A. The number of workers
B. The maximum number of workers
C. The disk size per worker
D. The zone
Answer: D

NEW QUESTION: 2
You design a solution for the web tier of WebApp1 as shown in the exhibit.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

Answer:
Explanation:

Explanation:
Box 1: Yes
Any new deployments to Azure must be redundant in case an Azure region fails.
Traffic Manager uses DNS to direct client requests to the most appropriate service endpoint based on a traffic-routing method and the health of the endpoints. An endpoint is any Internet-facing service hosted inside or outside of Azure. Traffic Manager provides a range of traffic-routing methods and endpoint monitoring options to suit different application needs and automatic failover models. Traffic Manager is resilient to failure, including the failure of an entire Azure region.
Box 2: Yes
Recent changes in Azure brought some significant changes in autoscaling options for Azure Web Apps (i.e. Azure App Service to be precise as scaling happens on App Service plan level and has effect on all Web Apps running in that App Service plan).
Box 3: No
Traffic Manager provides a range of traffic-routing methods and endpoint monitoring options to suit different application needs and automatic failover models. Traffic Manager is resilient to failure, including the failure of an entire Azure region.
Reference:
https://docs.microsoft.com/en-us/azure/traffic-manager/traffic-manager-overview
https://blogs.msdn.microsoft.com/hsirtl/2017/07/03/autoscaling-azure-web-apps/
Topic 2, Contoso, Ltd Case Study B
Overview
Contoso,Ltd is a US-base finance service company that has a main office New York and an office in San Francisco.
Payment Processing Query System
Contoso hosts a business critical payment processing system in its New York data center. The system has three tiers a front-end web app a middle -tier API and a back end data store implemented as a Microsoft SQL Server 2014 database All servers run Windows Server 2012 R2.
The front -end and middle net components are hosted by using Microsoft Internet Inform-non Services (IK) The application rode is written in C# and middle- tier API uses the Entity framework to communicate the SQL Server database. Maintenance of the database e performed by using SQL Server Ago- The database is currently J IB and is not expected to grow beyond 3 TB.
The payment processing system has the following compliance related requirement
* Encrypt data in transit and at test. Only the front-end and middle-tier components must be able to access the encryption keys that protect the date store.
* Keep backups of the two separate physical locations that are at last 200 miles apart and can be restored for op to seven years.
* Support blocking inbound and outbound traffic based on the source IP address, the description IP address, and the port number
* Collect Windows security logs from all the middle-tier servers and retain the log for a period of seven years,
* Inspect inbound and outbound traffic from the from-end tier by using highly available network appliances.
* Only allow all access to all the tiers from the internal network of Contoso.
Tape backups ate configured by using an on-premises deployment or Microsoft System Center Data protection Manager (DPMX and then shaped ofsite for long term storage Historical Transaction Query System Contoso recently migrate a business-Critical workload to Azure. The workload contains a NET web server for querying the historical transaction data residing in azure Table Storage. The NET service is accessible from a client app that was developed in-house and on the client computer in the New Your office. The data in the storage is 50 GB and is not except to increase.
Information Security Requirement
The IT security team wants to ensure that identity management n performed by using Active Directory. Password hashes must be stored on premises only.
Access to all business-critical systems must rely on Active Directory credentials. Any suspicious authentication attempts must trigger multi-factor authentication prompt automatically Legitimate users must be able to authenticate successfully by using multi-factor authentication.
Planned Changes
Contoso plans to implement the following changes:
* Migrate the payment processing system to Azure.
* Migrate the historical transaction data to Azure Cosmos DB to address the performance issues.
Migration Requirements
Contoso identifies the following general migration requirements:
Infrastructure services must remain available if a region or a data center fails. Failover must occur without any administrative intervention
* Whenever possible. Azure managed serves must be used to management overhead
* Whenever possible, costs must be minimized.
Contoso identifies the following requirements for the payment processing system:
* If a data center fails, ensure that the payment processing system remains available without any administrative intervention. The middle-tier and the web front end must continue to operate without any additional configurations-
* If that the number of compute nodes of the from -end and the middle tiers of the payment processing system can increase or decrease automatically based on CPU utilization.
* Ensure that each tier of the payment processing system is subject to a Service level Agreement (SLA) of 9959 percent availability
* Minimize the effort required to modify the middle tier API and the back-end tier of the payment processing system.
* Generate alerts when unauthorized login attempts occur on the middle-tier virtual machines.
* Insure that the payment processing system preserves its current compliance status.
* Host the middle tier of the payment processing system on a virtual machine.
Contoso identifies the following requirements for the historical transaction query system:
* Minimize the use of on-premises infrastructure service.
* Minimize the effort required to modify the .NET web service querying Azure Cosmos DB.
* If a region fails, ensure that the historical transaction query system remains available without any administrative intervention.
Current Issue
The Contoso IT team discovers poor performance of the historical transaction query as the queries frequently cause table scans.
Information Security Requirements
The IT security team wants to ensure that identity management is performed by using Active Directory. Password hashes must be stored on-premises only.
Access to all business-critical systems must rely on Active Directory credentials. Any suspicious authentication attempts must trigger a multi-factor authentication prompt automatically. legitimate users must be able to authenticate successfully by using multi-factor authentication.

NEW QUESTION: 3
Which action should they take first?
A. Create a service registry.
B. Define an SOA governance model.
C. Perform an SOA maturity assessment.
D. Create an SOA Center of Excellence (CoE).
Answer: C