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NEW QUESTION: 1
You have an application consisting of a stateless web server tier running on Amazon EC2 instances behind load balancer, and are using Amazon RDS with read replicas. Which of the following methods should you use to implement a self-healing and cost-effective architecture? Choose 2 answers from the optionsgiven below
A. Set up an Auto Scalinggroup for the web server tier along with an Auto Scaling policy that uses the Amazon EC2 CPU utilization CloudWatch metric to scale the instances.
B. Set up a third-party monitoring solution on a cluster of Amazon EC2 instances in order to emit custom Cloud Watch metrics to trigger the termination of unhealthy Amazon EC2 instances.
C. Set up scripts on each Amazon EC2 instance to frequently send ICMP pings to the load balancer in order to determine which instance is unhealthy and replace it.
D. Set up an Auto Scalinggroup for the database tier along with an Auto Scaling policy that uses the Amazon RDS read replica lag CloudWatch metric to scale out the Amazon RDS read replicas.
E. Use an Amazon RDS Multi-AZ deployment.
F. Use a larger Amazon EC2 instance type for the web server tier and a larger DB instance type for the data storage layer to ensure that they don't become unhealthy.
G. Set up an Auto Scalinggroup for the web server tier along with an Auto Scaling policy that uses the Amazon RDS DB CPU utilization Cloud Watch metric to scale the instances.
Answer: A,E
Explanation:
Explanation
The scaling of CC2 Instances in the Autoscaling group is normally done with the metric of the CPU utilization of the current instances in the Autoscaling group For more information on scaling in your Autoscaling Group, please refer to the below link:
* http://docs.aws.amazon.com/autoscaling/latest/userguide/as-scaling-simple-step.html
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). Cach AZ runs on its own physically distinct, independent infrastructure, and is engineered to be highly reliable. In case of an infrastructure failure, Amazon RDS performs an automatic failover to the standby (or to a read replica in the case of Amazon Aurora), so that you can resume database operations as soon as the failover is complete. For more information on RDS Multi-AZ please refer to the below link:
* https://aws.amazon.com/rds/details/multi-az/
Option A is invalid because if you already have in-built metrics from Cloudwatch, why would you want to spend more in using a a third-party monitoring solution.
Option B is invalid because health checks are already a feature of AWS CLB Option C is invalid because the database CPU usage should not be used to scale the web tier.
Option C is invalid because increasing the instance size does not always guarantee that the solution will not become unhealthy.
Option F is invalid because increasing Read-Replica's will not suffice for write operations if the primary DB fails.

NEW QUESTION: 2
You are running a Hadoop cluster with a NameNode on host mynamenode, a secondary NameNode on host mysecondarynamenode and several DataNodes.
Which best describes how you determine when the last checkpoint happened?
A. Execute hdfs namenode -report on the command line and look at the Last Checkpoint information
B. Connect to the web UI of the NameNode (http://mynamenode:50070) and look at the "Last Checkpoint" information
C. Connect to the web UI of the Secondary NameNode (http://mysecondary:50090/) and look at the "Last Checkpoint" information
D. Execute hdfs dfsadmin -saveNamespace on the command line which returns to you the last checkpoint value in fstime file
Answer: D
Explanation:
Reference:https://www.inkling.com/read/hadoop-definitive-guide-tom-white-3rd/chapter10/hdfs

NEW QUESTION: 3
新しいファイルがCloud Storageバケットにアップロードされるたびにトリガーされるコードスニペットを作成しました。このコードスニペットをデプロイします。あなたは何をするべきか？
A. Dataflowをバッチジョブとして使用し、バケットをデータソースとして構成します。
B. Cloud Functionsを使用して、バケットをトリガーリソースとして構成します。
C. App Engineを使用し、Pub / Subを使用してアプリケーションをトリガーするようにCloud Schedulerを構成します。
D. Google Kubernetes Engineを使用し、Pron / Subを使用してアプリケーションをトリガーするようにCronJobを構成します。
Answer: C
Explanation:
https://cloud.google.com/scheduler/docs/tut-pub-sub

NEW QUESTION: 4
Which two permissions can be granted to users to access queues? (Choose two.) Options are :
A. subscribe
B. durable
C. send
D. browse
Answer: A,C