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NEW QUESTION: 1
A company running an on-premises application is migrating the application to AWS to increase its elasticity and availability. The current architecture uses a Microsoft SQL Server database with heavy read activity. The company wants to explore alternate database options and migrate database engines, if needed. Every 4 hours, the development team does a full copy of the production database to populate a test database. During this period, users experience latency.
What should a solution architect recommend as replacement database?
A. Use Amazon Aurora with Multi-AZ Aurora Replicas and restore snapshots from Amazon RDS for the test database.
B. Use Amazon Aurora with Multi-AZ Aurora Replicas and restore from mysqldump for the test database.
C. Use Amazon RDS for MySQL with a Multi-AZ deployment and read replicas, and use the standby instance for the test database.
D. Use Amazon RDS for SQL Server with a Multi-AZ deployment and read replicas, and restore snapshots from RDS for the test database.
Answer: D

NEW QUESTION: 2
A coffee shop offering free Internet service to customers wants to implement the following security policies:
1. Every customer must agree to a set of terms and conditions before accessing the
Internet.
2. Log out customers that are logged in for more than one hour.
3. Log out customers that are idle for more than 5 minutes.
4. Authenticate employee desktop computers with known hardware addresses in the office of the coffee shop to access the Internet without the above restrictions.
The following configuration has been applied to the switch:
set access radius-server 172.16.14.26 port 1812
set access radius-server 172.16.14.26 secret Am@zingC00f33
set access profile dot1x authentication-order radius
set access profile dot1x radius authentication-server 172.27.14.226
What would you add to implement these policies?
A. set protocols dot1x authenticator interface ge-0/0/12.0 supplicant multiple set protocols dot1x authenticator authentication-profile-name dot1x set services captive-portal authentication-profile-name dot1x
set services captive-portal interface ge-0/0/12.0
set services captive-portal secure-authentication https
set services captive-portal custom-options header-message "Welcome to Our Coffee Shop" set services captive-portal custom-options banner-message "Terms and Conditions of Use"
B. set protocols dot1x authenticator interface ge-0/0/12.0 supplicant multiple set protocols dot1x authenticator interface ge-0/0/12.0 mac-radius set protocols dot1x authenticator authentication-profile-name dot1x
set services captive-portal authentication-profile-name dot1x
set services captive-portal interface ge-0/0/12.0
set services captive-portal interface ge-0/0/12.0 idle-timeout 300
set services captive-portal interface ge-0/0/12.0 user-timeout 3600
set services captive-portal secure-authentication https
set services captive-portal custom-options header-message "Welcome to Our Coffee Shop" set services captive-portal custom-options banner-message "Terms and Conditions of Use"
C. set protocols dot1x authenticator interface ge-0/0/12.0 supplicant multiple set protocols dot1x authenticator interface ge-0/0/12.0 mac-radius set protocols dot1x authenticator interface ge-0/0/12.0 idle-timeout 300 set protocols dot1x authenticator interface ge-0/0/12.0 user-timeout 3600 set protocols dot1x authenticator authentication-profile-name dot1x set services captive-portal authentication-profile-name dot1x
set services captive-portal interface ge-0/0/12.0
set services captive-portal secure-authentication https
set services captive-portal custom-options header-message "Welcome to Our Coffee Shop" set services captive-portal custom-options banner-message "Terms and Conditions of Use"
D. set protocols dot1x authenticator interface ge-0/0/12.0 supplicant multiple set protocols dot1x authenticator interface ge-0/0/12.0 mac-radius set protocols dot1x authenticator authentication-profile-name dot1x
set services captive-portal authentication-profile-name dot1x
set services captive-portal interface ge-0/0/12.0
set services captive-portal secure-authentication https
set services captive-portal custom-options header-message "Welcome to Our Coffee Shop" set services captive-portal custom-options banner-message "Terms and Conditions of Use"
Answer: D

NEW QUESTION: 3
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. Ensure each table is included in a dataset for a region.
B. Adjust the settings for each view to allow a related region-based security group view access.
C. Ensure all the tables are included in global dataset.
D. Adjust the settings for each dataset to allow a related region-based security group view access.
E. Adjust the settings for each table to allow a related region-based security group view access.
Answer: A,B

NEW QUESTION: 4
Your organization has developed and deployed several Azure App Service Web and API applications. The applications use Azure Key Vault to store several authentication, storage account, and data encryption keys. Several departments have the following requests to support the applications:

You need to recommend the appropriate Azure service for each department request.
What should you recommend? To answer, configure the appropriate options in the dialog box in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation: