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NEW QUESTION: 1
Answer:
Explanation:
Explanation
https://technet.microsoft.com/en-us/library/dn268500(v=ws.11).aspx
NEW QUESTION: 2
A 3-tier e-commerce web application is current deployed on-premises and will be migrated to AWS for greater scalability and elasticity The web server currently shares read-only data using a network distributed file system The app server tier uses a clustering mechanism for discovery and shared session state that depends on I P multicast The database tier uses shared-storage clustering to provide database fail over capability, and uses several read slaves for scaling Data on all servers and the distributed file system directory is backed up weekly to off-site tapes Which AWS storage and database architecture meets the requirements of the application?
A. Web servers: store read-only data in 53, and copy from 53 to root volume at boot time. App servers:
share state using a combination of DynamoDB and IP unicast. Database: use RDS with multi-AZ deployment and one or more read replicas. Backup: web servers, app servers, and database backed up weekly to Glacier using snapshots.
B. Web servers: store read-only data in 53, and copy from 53 to root volume at boot time. App servers:
share state using a combination of DynamoDB and IP unicast. Database: use RDS with multi-AZ deployment. Backup: web and app servers backed up weekly via AM Is, database backed up via DB snapshots.
C. Web servers: store read-only data in an EC2 NFS server, mount to each web server at boot time. App servers: share state using a combination of DynamoDB and IP multicast. Database: use RDS with multi-AZ deployment and one or more Read Replicas. Backup: web and app servers backed up weekly via AM Is, database backed up via DB snapshots.
D. Web servers: store read-only data in 53, and copy from 53 to root volume at boot time. App servers:
share state using a combination of DynamoDB and IP unicast. Database: use RDS with multi-AZ deployment and one or more Read Replicas. Backup: web and app servers backed up weekly via AM Is, database backed up via DB snapshots.
Answer: D
Explanation:
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.
Benefits
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 fail over to complete.
Unlike Single-AZ deployments, 1/0 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.
No Administrative Intervention
DB Instance failover is fully automatic and requires no administrative intervention. Amazon RDS monitors the health of your primary and standbys, and initiates a failover automatically in response to a variety of failure conditions.
Failover conditions
Amazon RDS detects and automatically recovers from the most common failure scenarios for Multi-AZ deployments so that you can resume database operations as quickly as possible without administrative intervention. Amazon RDS automatically performs a failover in the event of any of the following:
Loss of availability in primary Availability Zone
Loss of network connectivity to primary
Compute unit failure on primary
Storage failure on primary
Note: When operations such as DB Instance scaling or system upgrades like OS patching are initiated for Multi-AZ deployments, for enhanced availability, they are applied first on the standby prior to an automatic failover. As a result, your availability impact is limited only to the time required for automatic failover to complete. Note that Amazon RDS Multi-AZ deployments do not failover automatically in response to database operations such as long running queries, deadlocks or database corruption errors.
NEW QUESTION: 3
You want to restrict a developer's access to modify table data in the QA environment. What should the QA administrator do?
A. Remove the developer from the Payee table.
B. Disable the developer's Web access.
C. Limit the developer's role to view data.
D. Remove the developer from all the Portal Access Groups.
Answer: C
NEW QUESTION: 4
SIMULATION
Scenario
You are the network security administrator for your organization. Your company is growing and a remote branch office is being created. You are tasked with configuring your headquarters Cisco ASA to create a site-to-site IPsec VPN connection to the branch office Cisco ISR. The branch office ISR has already been deployed and configured and you need to complete the IPsec connectivity configurations on the HQ ASA to bring the new office online.
Use the following parameters to complete your configuration using ASDM. For this exercise, not all ASDM screens are active.
Enable IKEv1 on outside I/F for Site-to-site VPN
Add a Connection Profile with the following parameters:
- Peer IP: 203.0.113.1
- Connection name: 203.0.113.1
- Local protected network: 10.10.9.0/24
- Remote protected network: 10.11.11.0/24
- Group Policy Name: use the default policy name supplied
- Preshared key: cisco
- Disable IKEv2
- Encryption Algorithms: use the ASA defaults
Disable pre-configured NAT for testing of the IPsec tunnel
- Disable the outside NAT pool rule
Establish the IPsec tunnel by sending ICMP pings from the Employee PC to the Branch Server at IP
address 10.11.11.20
Verify tunnel establishment in ASDM VPN Statistics> Sessions window pane
You have completed this exercise when you have successfully configured, established, and verified site-to- site IPsec connectivity between the ASA and the Branch ISR.
Topology
Answer:
Explanation:
Review the explanation for detailed answer steps.
Explanation/Reference:
Explanation:
First, click on Configuration ->Site-to-Site VPN to bring up this screen:
Click on "allow IKE v1 Access" for the outside per the instructions as shown below:
Then click apply at the bottom of the page. This will bring up the following pop up message:
Click on Send.
Next, we need to set up the connection profile. From the connection profile tab, click on "Add"
Then, fill in the information per the instructions as shown below:
Hit OK and you should see this:
To test this, we need to disable NAT. Go to Configuration -> Firewall -> NAT rules and you should see this:
Click on Rule 1 to get the details and you will see this:
We need to uncheck the "Enable rule" button on the bottom. It might also be a good idea to uncheck the
"Translate DNS replies that match the rule" but it should not be needed.
Then, go back to the topology:
Click on Employee PC, and you will see a desktop with a command prompt shortcut. Use this to ping the IP address of 10.11.11.20 and you should see replies:
We can also verify by viewing the VPN Statistics -> Sessions and see the bytes in/out incrementing as shown below:
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