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NEW QUESTION: 1
A global company with distributed Development teams built a web application using a microservices architecture running on Amazon ECS. Each application service is independent and runs as a service in the ECS cluster. The container build files and source code reside in a private GitHub source code repository.
Separate ECS clusters exist for development, testing, and production environments.
Developers are required to push features to branches in the GitHub repository and then merge the changes into an environment-specific branch (development, test, or production). This merge needs to trigger an automated pipeline to run a build and a deployment to the appropriate ECS cluster.
What should the DevOps Engineer recommend as an automated solution to these requirements?
A. Create an AWS CloudFormation stack for the ECS cluster and AWS CodePipeline services. Store the container build files in an Amazon S3 bucket. Use a post-commit hook to trigger a CloudFormation stack update that deploys the ECS cluster. Add a task in the ECS cluster to build and push images to Amazon ECR, based on the container build files in S3.
B. Create a pipeline in AWS CodePipeline. Configure it to be triggered by commits to the master branch in GitHub. Add a stage to use the Git commit message to determine which environment the commit should be applied to, then call the create-image Amazon ECR command to build the image, passing it to the container build file. Then add a stage to update the ECS task and service definitions in the appropriate cluster for that environment.
C. Create a separate pipeline in AWS CodePipeline for each environment. Trigger each pipeline based on commits to the corresponding environment branch in GitHub. Add a build stage to launch AWS CodeBuild to create the container image from the build file and push it to Amazon ECR. Then add another stage to update the Amazon ECS task and service definitions in the appropriate cluster for that environment.
D. Create a new repository in AWS CodeCommit. Configure a scheduled project in AWS CodeBuild to synchronize the GitHub repository to the new CodeCommit repository. Create a separate pipeline for each environment triggered by changes to the CodeCommit repository. Add a stage using AWS Lambda to build the container image and push to Amazon ECR. Then add another stage to update the ECS task and service definitions in the appropriate cluster for that environment.
Answer: A

NEW QUESTION: 2
会社には、パブリックサブネットとプライベートサブネットで実行される2層アプリケーションアーキテクチャがあり、Webアプリケーションを実行するAmazon EC2インスタンスはパブリックサブネットにあり、データベースはプライベートサブネットで実行されますWebアプリケーションインスタンスとデータベースは単一のアベイラビリティーゾーン（ AZ）。
ソリューションアーキテクトがこのアーキテクチャに高可用性を提供するには、どの手順を組み合わせる必要がありますか？
（2つ選択してください。）
A. 既存のWebアプリケーションインスタンスをApplication Load Balancerの背後にあるAuto Scalingグループに追加します
B. 新しいAZ内の同じVPCに新しいパブリックおよびプライベートサブネットを作成しますデータベースをAmazon RDSマルチAZ配置に移行します
C. 複数のAZにまたがるAmazon EC2 Auto ScalingグループとApplication Load Balancerを作成します
D. 高可用性のために、同じAZに新しいパブリックサブネットとプライベートサブネットを作成します
E. 新しいAZで新しいパブリックサブネットとプライベートサブネットを作成する1つのAZでAmazon EC2を使用してデータベースを作成します
Answer: B,C
Explanation:
Explanation
You can take advantage of the safety and reliability of geographic redundancy by spanning your Auto Scaling group across multiple Availability Zones within a Region and then attaching a load balancer to distribute incoming traffic across those zones. Incoming traffic is distributed equally across all Availability Zones enabled for your load balancer.
Note
An Auto Scaling group can contain Amazon EC2 instances from multiple Availability Zones within the same Region. However, an Auto Scaling group can't contain instances from multiple Regions.
When one Availability Zone becomes unhealthy or unavailable, Amazon EC2 Auto Scaling launches new instances in an unaffected zone. When the unhealthy Availability Zone returns to a healthy state, Amazon EC2 Auto Scaling automatically redistributes the application instances evenly across all of the zones for your Auto Scaling group. Amazon EC2 Auto Scaling does this by attempting to launch new instances in the Availability Zone with the fewest instances. If the attempt fails, however, Amazon EC2 Auto Scaling attempts to launch in other Availability Zones until it succeeds.
You can expand the availability of your scaled and load-balanced application by adding an Availability Zone to your Auto Scaling group and then enabling that zone for your load balancer. After you've enabled the new Availability Zone, the load balancer begins to route traffic equally among all the enabled zones.
High Availability (Multi-AZ) for Amazon RDS
Amazon RDS provides high availability and failover support for DB instances using Multi-AZ deployments.
Amazon RDS uses several different technologies to provide failover support. Multi-AZ deployments for MariaDB, MySQL, Oracle, and PostgreSQL DB instances use Amazon's failover technology. SQL Server DB instances use SQL Server Database Mirroring (DBM) or Always On Availability Groups (AGs).
In a Multi-AZ deployment, Amazon RDS automatically provisions and maintains a synchronous standby replica in a different Availability Zone. The primary DB instance is synchronously replicated across Availability Zones to a standby replica to provide data redundancy, eliminate I/O freezes, and minimize latency spikes during system backups. Running a DB instance with high availability can enhance availability during planned system maintenance, and help protect your databases against DB instance failure and Availability Zone disruption. For more information on Availability Zones, see Regions, Availability Zones, and Local Zones

https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-add-availability-zone.html
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.MultiAZ.html

NEW QUESTION: 3

A. Option B
B. Option A
C. Option C
D. Option D
Answer: D
Explanation:
Introducing Read-only Access to Geo Redundant Storage (RA-GRS):
RA-GRS allows you to have higher read availability for your storage account by providing "read only" access to the data replicated to the secondary location. Once you enable this feature, the secondary location may be used to achieve higher availability in the event the data is not available in the primary region. This is an "opt-in" feature which requires the storage account be geo-replicated.
Reference: Windows Azure Storage Redundancy Options and Read Access Geo Redundant Storage

NEW QUESTION: 4
Examine the commands:
CREATE TYPE typ_course_tab IS VARRAY(5) OF VARCHAR2(20) /
CREATE TYPE typ_course_nst AS TABLE OF typ_course_tab /
CREATE TABLE faculty (faculty_id NUMBER(5), faculty_name VARCHAR2(30), courses typ_course_nst) NESTED TABLE courses STORE AS course_stor_tab /
INSERT INTO faculty VALUES (101, 'Jones', NULL);
UPDATE (SELECT courses FROM faculty WHERE faculty_id=101) SET courses = typ_course_nst (11,'Oracle');
Which statement is true about the execution of these commands?
A. All the commands execute successfully.
B. Only the first two commands execute successfully.
C. Only the first four commands execute successfully.
D. Only the first three commands execute successfully.
Answer: C
Explanation:
Explanation/Reference:
Explanation: