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NEW QUESTION: 1
Your company runs a customer facing event registration site This site is built with a 3-tier architecture with web and application tier servers and a MySQL database The application requires 6 web tier servers and 6 application tier servers for normal operation, but can run on a minimum of 65% server capacity and a single MySQL database. When deploying this application in a region with three availability zones (AZs) which architecture provides high availability?
A. A web tier deployed across 3 AZs with 2 EC2 (Elastic Compute Cloud) instances in each AZ inside an Auto Scaling Group behind an ELB (elastic load balancer) and an application tier deployed across 3 AZs with 2 EC2 instances in each AZ inside an Auto Scaling Group behind an ELB and one RDS (Relational Database Service) Instance deployed with read replicas in the two other AZs.
B. A web tier deployed across 2 AZs with 3 EC2 (Elastic Compute Cloud) instances in each AZ inside an Auto Scaling Group behind an ELB (elastic load balancer) and an application tier deployed across 2 AZs with 3 EC2 instances m each AZ inside an Auto Scaling Group behind an ELS and a Multi-AZ RDS (Relational Database Service) deployment.
C. A web tier deployed across 2 AZs with 3 EC2 (Elastic Compute Cloud) instances in each AZ inside an Auto Scaling Group behind an ELB (elastic load balancer), and an application tier deployed across 2 AZs with 3 EC2 instances in each AZ inside an Auto Scaling Group behind an ELB, and one RDS (Relational Database Service) instance deployed with read replicas in the other AZ.
D. A web tier deployed across 3 AZs with 2 EC2 (Elastic Compute Cloud) instances in each AZ Inside an Auto Scaling Group behind an ELB (elastic load balancer). And an application tier deployed across 3 AZs with 2 EC2 instances in each AZ inside an Auto Scaling Group behind an ELB. And a Multi-AZ RDS (Relational Database services) deployment.
Answer: D
Explanation:
Explanation
Amazon RDS Multi-AZ Deployments
Amazon RDS Multi-AZ deployments provide enhanced availability and durability for Database (DB) Instances, making them a natural fit for production database workloads. When you provision a Multi-AZ DB Instance, Amazon RDS automatically creates a primary DB Instance and synchronously replicates the data to a standby instance in a different Availability Zone (AZ). Each AZ runs on its own physically distinct, independent infrastructure, and is engineered to be highly reliable. In case of an infrastructure failure (for example, instance hardware failure, storage failure, or network disruption), Amazon RDS performs an automatic failover to the standby, so that you can resume database operations as soon as the failover is complete. Since the endpoint for your DB Instance remains the same after a failover, your application can resume database operation without the need for manual administrative intervention.
Enhanced Durability
Multi-AZ deployments for the MySQL, Oracle, and PostgreSQL engines utilize synchronous physical replication to keep data on the standby up-to-date with the primary. Multi-AZ deployments for the SQL Server engine use synchronous logical replication to achieve the same result, employing SQL Server-native Mirroring technology. Both approaches safeguard your data in the event of a DB Instance failure or loss of an Availability Zone.
If a storage volume on your primary fails in a Multi-AZ deployment, Amazon RDS automatically initiates a failover to the up-to-date standby. Compare this to a Single-AZ deployment: in case of a Single-AZ database failure, a user-initiated point-in-time-restore operation will be required. This operation can take several hours to complete, and any data updates that occurred after the latest restorable time (typically within the last five minutes) will not be available.
Amazon Aurora employs a highly durable, SSD-backed virtualized storage layer purpose-built for database workloads. Amazon Aurora automatically replicates your volume six ways, across three Availability Zones.
Amazon Aurora storage is fault-tolerant, transparently handling the loss of up to two copies of data without affecting database write availability and up to three copies without affecting read availability. Amazon Aurora storage is also self-healing. Data blocks and disks are continuously scanned for errors and replaced automatically.
Increased Availability
You also benefit from enhanced database availability when running Multi-AZ deployments. If an Availability Zone failure or DB Instance failure occurs, your availability impact is limited to the time automatic failover takes to complete: typically under one minute for Amazon Aurora and one to two minutes for other database engines (see the RDS FAQ for details).
The availability benefits of Multi-AZ deployments also extend to planned maintenance and backups. In the case of system upgrades like OS patching or DB Instance scaling, these operations are applied first on the standby, prior to the automatic failover. As a result, your availability impact is, again, only the time required for automatic failover to complete.
Unlike Single-AZ deployments, I/O activity is not suspended on your primary during backup for Multi-AZ deployments for the MySQL, Oracle, and PostgreSQL engines, because the backup is taken from the standby.
However, note that you may still experience elevated latencies for a few minutes during backups for Multi-AZ deployments.
On instance failure in Amazon Aurora deployments, Amazon RDS uses RDS Multi-AZ technology to automate failover to one of up to 15 Amazon Aurora Replicas you have created in any of three Availability Zones. If no Amazon Aurora Replicas have been provisioned, in the case of a failure, Amazon RDS will attempt to create a new Amazon Aurora DB instance for you automatically.
https://www.airpair.com/aws/posts/building-a-scalable-web-app-on-amazon-web-services-p1

NEW QUESTION: 2
Which of the following types of authentication solutions use tickets to provide access to various resources
from a central location?
A. PKI
B. Kerberos
C. ACLs
D. Biometrics
Answer: B
Explanation:
Section: Access Control and Identity Management
Explanation/Reference:
Explanation:
The basic process of Kerberos authentication is as follows:
1
2
3
. The subject provides logon credentials.
. The Kerberos client system encrypts the password and transmits the protected credentials to the KDC.
. The KDC verifies the credentials and then creates a ticket-granting ticket (TGT-a hashed form of the
subject's password with the addition of a time stamp that indicates a valid lifetime). The TGT is
encrypted and sent to the client.
4
5
6
. The client receives the TGT. At this point, the subject is an authenticated principle in the Kerberos
realm.
. The subject requests access to resources on a network server. This causes the client to request a
service ticket (ST) from the KDC.
. The KDC verifies that the client has a valid TGT and then issues an ST to the client. The ST includes a
time stamp that indicates its valid lifetime.
7
8
9
. The client receives the ST.
. The client sends the ST to the network server that hosts the desired resource.
. The network server verifies the ST. If it's verified, it initiates a communication session with the client.
From this point forward, Kerberos is no longer involved.

NEW QUESTION: 3
Frank is the project manager of the NHH Project. He is working with the project team to create a plan to document the procedures to manage risks throughout the project. This document will define how risks will be identified and quantified. It will also define how contingency plans will be implemented by the project team. What document is Frank and the NHH Project team creating in this scenario?
A. Risk management plan
B. Project management plan
C. Resource management plan
D. Project plan
Answer: A

NEW QUESTION: 4
Sarah needs to create a URL to her portlet.
Why would she use an Action URL versus a Resource or Render URL?
A. The request is to retrieve a fragment of markup.
B. The request needs to be over SSL.
C. The request is to a JavaScript file.
D. The request changes the state of the portlet.
Answer: D
Explanation:
Creating Portlet URLs(renderURL/actionURL/resourceURL) in Liferay through jsp and javascript
Here I am creating renderURL only.Other URL's can be created in the similar way
In JSP :
<portlet:renderURL var="renderURL ">
<portlet:param name="param-name" value="param-value" />
<portlet:param name="param-name" value="param-value" />
</portlet:renderURL>