High quality latest SAA-C03 Latest Test Cram - Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam dumps pdf training resources and study guides download free try, it is the best choice for you to pass SAA-C03 Latest Test Cram - Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam exam test easily, Our SAA-C03 pass4sure vce will help you solve the problem, Three Month free update of SAA-C03 Questions, You need to pass Amazon SAA-C03 exams as soon as possible.

Or has culture been put on the backburner as you have scaled, SAA-C03 Latest Test Cram Use the Bing Map control, The authors of The C# Programming Language discuss value types, reference types, and pointers.

Download SAA-C03 Exam Dumps

As we know that thousands of people put a premium on obtaining SAA-C03 certifications to prove their ability, For example, an answer choice might be too specific, too general, (https://www.itbraindumps.com/SAA-C03_exam.html) or have no relation to the content of the passage itself or for the question being asked.

High quality latest Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam dumps pdf training resources (https://www.itbraindumps.com/SAA-C03_exam.html) and study guides download free try, it is the best choice for you to pass Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam exam test easily.

Our SAA-C03 pass4sure vce will help you solve the problem, Three Month free update of SAA-C03 Questions, You need to pass Amazon SAA-C03 exams as soon as possible.

SAA-C03 pass rate - SAA-C03 test online materials - Lead2pass pass test

And our quality of SAA-C03 exam questions is the best in this field for you to pass the SAA-C03 exam, Come to buy our SAA-C03 learning quiz, you will pass your exam easily!

Just come and take it, Just try and practice the demo questions firstly, Once you obtain the certificate with SAA-C03 quiz guide successfully, the surrounding environment of you will change gradually.

In addition SAA-C03 training materials of us also have free update for one year after purchasing, Compared with others, you can have more opportunities to get promotion and desirable jobs.

We keep our SAA-C03 training material pdf the latest by checking the newest information about the updated version every day.

Download Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam Exam Dumps

NEW QUESTION 43
A company hosts more than 300 global websites and applications. The company requires a platform to analyze more than 30 TB of clickstream data each day.
What should a solutions architect do to transmit and process the clickstream data?

• A. Collect the data from Amazon Kinesis Data Streams. Use Amazon Kinesis Data Firehose to transmit the data to an Amazon S3 data lake Load the data in Amazon Redshift for analysis
• B. Design an AWS Data Pipeline to archive the data to an Amazon S3 bucket and run an Amazon EMR duster with the data to generate analytics
• C. Cache the data to Amazon CloudFron: Store the data in an Amazon S3 bucket When an object is added to the S3 bucket, run an AWS Lambda function to process the data tor analysis.
• D. Create an Auto Scaling group of Amazon EC2 instances to process the data and send it to an Amazon S3 data lake for Amazon Redshift to use tor analysis

Answer: A

NEW QUESTION 44
The company that you are working for has a highly available architecture consisting of an elastic load balancer and several EC2 instances configured with auto-scaling in three Availability Zones. You want to monitor your EC2 instances based on a particular metric, which is not readily available in CloudWatch.
Which of the following is a custom metric in CloudWatch which you have to manually set up?

• A. Memory Utilization of an EC2 instance
• B. Disk Reads activity of an EC2 instance
• C. Network packets out of an EC2 instance
• D. CPU Utilization of an EC2 instance

Answer: A

Explanation:
CloudWatch has available Amazon EC2 Metrics for you to use for monitoring. CPU Utilization identifies the processing power required to run an application upon a selected instance. Network Utilization identifies the volume of incoming and outgoing network traffic to a single instance. Disk Reads metric is used to determine the volume of the data the application reads from the hard disk of the instance. This can be used to determine the speed of the application. However, there are certain metrics that are not readily available in CloudWatch such as memory utilization, disk space utilization, and many others which can be collected by setting up a custom metric.
You need to prepare a custom metric using CloudWatch Monitoring Scripts which is written in Perl. You can also install CloudWatch Agent to collect more system-level metrics from Amazon EC2 instances.
Here's the list of custom metrics that you can set up:
- Memory utilization
- Disk swap utilization
- Disk space utilization
- Page file utilization
- Log collection

CPU Utilization of an EC2 instance, Disk Reads activity of an EC2 instance, and Network packets out of an EC2 instance are all incorrect because these metrics are readily available in CloudWatch by default.
References:
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/monitoring_ec2.html
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/mon-scripts.html#using_put_script Check out this Amazon EC2 Cheat Sheet: https://tutorialsdojo.com/amazon-elastic-compute-cloud- amazon-ec2/ Check out this Amazon CloudWatch Cheat Sheet: https://tutorialsdojo.com/amazon- cloudwatch/

NEW QUESTION 45
A corporation has recruited a new cloud engineer who should not have access to the CompanyConfidential Amazon S3 bucket. The cloud engineer must have read and write permissions on an S3 bucket named AdminTools.
Which IAM policy will satisfy these criteria?

• A.
• B.
• C.
• D.

Answer: B

Explanation:
https://docs.amazonaws.cn/en_us/IAM/latest/UserGuide/reference_policies_examples_s3_rw-bucket.html

NEW QUESTION 46
A solutions architect is designing the architecture of a new application being deployed to the AWS Cloud. The application will run on Amazon EC2 On-Demand Instances and will automatically scale across multiple Availability Zones. The EC2 instances will scale up and down frequently throughout the day. An Application Load Balancer (ALB) will handle the load distribution. The architecture needs to support distributed session data management. The company is willing to make changes to code if needed.
What should the solutions architect do to ensure that the architecture supports distributed session data management?

• A. Use Session Manager from AWS Systems Manager to manage the session.
• B. Use session affinity (sticky sessions) of the ALB to manage session data.
• C. Use Amazon ElastiCache to manage and store session data.
• D. Use the GetSessionToken API operation in AWS Security Token Service (AWS STS) to manage the session

Answer: C

Explanation:
https://aws.amazon.com/vi/caching/session-management/
In order to address scalability and to provide a shared data storage for sessions that can be accessible from any individual web server, you can abstract the HTTP sessions from the web servers themselves. A common solution to for this is to leverage an In-Memory Key/Value store such as Redis and Memcached. ElastiCache offerings for In-Memory key/value stores include ElastiCache for Redis, which can support replication, and ElastiCache for Memcached which does not support replication.

NEW QUESTION 47
A company has an application hosted in an Auto Scaling group of Amazon EC2 instances across multiple Availability Zones behind an Application Load Balancer. There are several occasions where some instances are automatically terminated after failing the HTTPS health checks in the ALB and then purges all the ephemeral logs stored in the instance. A Solutions Architect must implement a solution that collects all of the application and server logs effectively. She should be able to perform a root cause analysis based on the logs, even if the Auto Scaling group immediately terminated the instance.
What is the EASIEST way for the Architect to automate the log collection from the Amazon EC2 instances?

• A. Add a lifecycle hook to your Auto Scaling group to move instances in the Terminating state to the Terminating:Wait state to delay the termination of unhealthy Amazon EC2 instances. Configure a CloudWatch Events rule for the EC2 Instance-terminate Lifecycle Action Auto Scaling Event with an associated Lambda function. Trigger the CloudWatch agent to push the application logs and then resume the instance termination once all the logs are sent to CloudWatch Logs.
• B. Add a lifecycle hook to your Auto Scaling group to move instances in the Terminating state to the Terminating:Wait state to delay the termination of the unhealthy Amazon EC2 instances. Set up AWS Step Functions to collect the application logs and send them to a CloudWatch Log group. Configure the solution to resume the instance termination as soon as all the logs were successfully sent to CloudWatch Logs.
• C. Add a lifecycle hook to your Auto Scaling group to move instances in the Terminating state to the Terminating:Wait state to delay the termination of the unhealthy Amazon EC2 instances. Configure a CloudWatch Events rule for the EC2 Instance Terminate Successful Auto Scaling Event with an associated Lambda function. Set up the AWS Systems Manager Run Command service to run a script that collects and uploads the application logs from the instance to a CloudWatch Logs group. Resume the instance termination once all the logs are sent.
• D. Add a lifecycle hook to your Auto Scaling group to move instances in the Terminating state to the Pending:Wait state to delay the termination of the unhealthy Amazon EC2 instances. Configure a CloudWatch Events rule for the EC2 Instance-terminate Lifecycle Action Auto Scaling Event with an associated Lambda function. Set up an AWS Systems Manager Automation script that collects and uploads the application logs from the instance to a CloudWatch Logs group. Configure the solution to only resume the instance termination once all the logs were successfully sent.

Answer: A

Explanation:
The EC2 instances in an Auto Scaling group have a path, or lifecycle, that differs from that of other EC2 instances. The lifecycle starts when the Auto Scaling group launches an instance and puts it into service.
The lifecycle ends when you terminate the instance, or the Auto Scaling group takes the instance out of service and terminates it.
You can add a lifecycle hook to your Auto Scaling group so that you can perform custom actions when instances launch or terminate.
When Amazon EC2 Auto Scaling responds to a scale out event, it launches one or more instances.
These instances start in the Pending state. If you added an autoscaling:EC2_INSTANCE_LAUNCHING lifecycle hook to your Auto Scaling group, the instances move from the Pending state to the Pending:Wait state. After you complete the lifecycle action, the instances enter the Pending:Proceed state. When the instances are fully configured, they are attached to the Auto Scaling group and they enter the InService state.
When Amazon EC2 Auto Scaling responds to a scale in event, it terminates one or more instances.
These instances are detached from the Auto Scaling group and enter the Terminating state. If you added an autoscaling:EC2_INSTANCE_TERMINATING lifecycle hook to your Auto Scaling group, the instances move from the Terminating state to the Terminating:Wait state. After you complete the lifecycle action, the instances enter the Terminating:Proceed state. When the instances are fully terminated, they enter the Terminated state.

Using CloudWatch agent is the most suitable tool to use to collect the logs. The unified CloudWatch agent enables you to do the following:
- Collect more system-level metrics from Amazon EC2 instances across operating systems. The metrics can include in-guest metrics, in addition to the metrics for EC2 instances. The additional metrics that can be collected are listed in Metrics Collected by the CloudWatch Agent.
- Collect system-level metrics from on-premises servers. These can include servers in a hybrid environment as well as servers not managed by AWS.
- Retrieve custom metrics from your applications or services using the StatsD and collectd protocols.
StatsD is supported on both Linux servers and servers running Windows Server. collectd is supported only on Linux servers.
- Collect logs from Amazon EC2 instances and on-premises servers, running either Linux or Windows Server.



You can store and view the metrics that you collect with the CloudWatch agent in CloudWatch just as you can with any other CloudWatch metrics. The default namespace for metrics collected by the CloudWatch agent is CWAgent, although you can specify a different namespace when you configure the agent.
Hence, the correct answer is: Add a lifecycle hook to your Auto Scaling group to move instances in the Terminating state to the Terminating:Wait state to delay the termination of unhealthy Amazon EC2 instances. Configure a CloudWatch Events rule for the EC2 Instance-terminate Lifecycle Action Auto Scaling Event with an associated Lambda function. Trigger the CloudWatch agent to push the application logs and then resume the instance termination once all the logs are sent to CloudWatch Logs.
The option that says: Add a lifecycle hook to your Auto Scaling group to move instances in the Terminating state to the Pending:Wait state to delay the termination of the unhealthy Amazon EC2 instances. Configure a CloudWatch Events rule for the EC2 Instance-terminate Lifecycle Action Auto Scaling Event with an associated Lambda function. Set up an AWS Systems Manager Automation script that collects and uploads the application logs from the instance to a CloudWatch Logs group. Configure the solution to only resume the instance termination once all the logs were successfully sent is incorrect because the Pending:Wait state refers to the scale-out action in Amazon EC2 Auto Scaling and not for scale-in or for terminating the instances.
The option that says: Add a lifecycle hook to your Auto Scaling group to move instances in the Terminating state to the Terminating:Wait state to delay the termination of the unhealthy Amazon EC2 instances. Set up AWS Step Functions to collect the application logs and send them to a CloudWatch Log group. Configure the solution to resume the instance termination as soon as all the logs were successfully sent to CloudWatch Logs is incorrect because using AWS Step Functions is inappropriate in collecting the logs from your EC2 instances. You should use a CloudWatch agent instead.
The option that says: Add a lifecycle hook to your Auto Scaling group to move instances in the Terminating state to the Terminating:Wait state to delay the termination of the unhealthy Amazon EC2 instances. Configure a CloudWatch Events rule for the EC2 Instance Terminate Successful Auto Scaling Event with an associated Lambda function. Set up the AWS Systems Manager Run Command service to run a script that collects and uploads the application logs from the instance to a CloudWatch Logs group.
Resume the instance termination once all the logs are sent is incorrect because although this solution could work, it entails a lot of effort to write a custom script that the AWS Systems Manager Run Command will run. Remember that the scenario asks for a solution that you can implement with the least amount of effort. This solution can be simplified by automatically uploading the logs using a CloudWatch Agent. You have to use the EC2 Instance-terminate Lifecycle Action event instead. References:
https://docs.aws.amazon.com/autoscaling/ec2/userguide/AutoScalingGroupLifecycle.html
https://docs.aws.amazon.com/autoscaling/ec2/userguide/cloud-watch-events.html#terminate-successful
https://aws.amazon.com/premiumsupport/knowledge-center/auto-scaling-delay-termination/ Check out this AWS Auto Scaling Cheat Sheet:
https://tutorialsdojo.com/aws-auto-scaling/

NEW QUESTION 48
......