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NEW QUESTION: 1
A company's web application is using multiple Linux Amazon EC2 instances and storing data on Amazon EBS volumes. The company is looking for a solution to increase the resiliency of the application in case of a failure and to provide storage that complies with atomicity, consistency, isolation, and durability (ACID).
What should a solutions architect do to meet these requirements?
A. Create an Application Load Balancer with Auto Scaling groups across multiple Availability Zones.
Store data on Amazon EFS and mount a target on each instance.
B. Launch the application on EC2 instances in each Availability Zone. Attach EBS volumes to each EC2 instance.
C. Create an Application Load Balancer with Auto Scaling groups across multiple Availability Zones Mount an instance store on each EC2 instance
D. Create an Application Load Balancer with Auto Scaling groups across multiple Availability Zones Store data using Amazon S3 One Zone-Infrequent Access (S3 One Zone-IA)
Answer: A
Explanation:
Explanation
How Amazon EFS Works with Amazon EC2
The following illustration shows an example VPC accessing an Amazon EFS file system. Here, EC2 instances in the VPC have file systems mounted.
In this illustration, the VPC has three Availability Zones, and each has one mount target created in it. We recommend that you access the file system from a mount target within the same Availability Zone. One of the Availability Zones has two subnets. However, a mount target is created in only one of the subnets.
Benefits of Auto Scaling
Better fault tolerance. Amazon EC2 Auto Scaling can detect when an instance is unhealthy, terminate it, and launch an instance to replace it. You can also configure Amazon EC2 Auto Scaling to use multiple Availability Zones. If one Availability Zone becomes unavailable, Amazon EC2 Auto Scaling can launch instances in another one to compensate.
Better availability. Amazon EC2 Auto Scaling helps ensure that your application always has the right amount of capacity to handle the current traffic demand.
Better cost management. Amazon EC2 Auto Scaling can dynamically increase and decrease capacity as needed. Because you pay for the EC2 instances you use, you save money by launching instances when they are needed and terminating them when they aren't.
https://docs.aws.amazon.com/efs/latest/ug/how-it-works.html#how-it-works-ec2
https://docs.aws.amazon.com/autoscaling/ec2/userguide/auto-scaling-benefits.html
NEW QUESTION: 2
Your customer has created a custom ABAP report in an SAP ERP system based on totals table GLTO. How is this totals table treated in SAP S/4HANA to safeguard custom ABAP reporting programs?
A. The balances of the table are posted as additional line items in the universal journal.
B. The content of the table is deleted and compatibility view is generated
C. The entries of the table are converted into column store
D. The table is treated as a transient provider using BW query functionality
Answer: B
NEW QUESTION: 3
A. Option G
B. Option B
C. Option C
D. Option F
E. Option A
F. Option D
G. Option E
Answer: B
Explanation:
Explanation
DML triggers is a special type of stored procedure that automatically takes effect when a data manipulation language (DML) event takes place that affects the table or view defined in the trigger. DML events include INSERT, UPDATE, or DELETE statements. DML triggers can be used to enforce business rules and data integrity, query other tables, and include complex Transact-SQL statements.
A CLR trigger is a type of DDL trigger. A CLR Trigger can be either an AFTER or INSTEAD OF trigger. A CLR trigger can also be a DDL trigger. Instead of executing a Transact-SQL stored procedure, a CLR trigger executes one or more methods written in managed code that are members of an assembly created in the .NET Framework and uploaded in SQL Server.
References: https://msdn.microsoft.com/en-us/library/ms178110.aspx