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NEW QUESTION 45
A company has a large dataset for its online advertising business stored in an Amazon RDS for MySQL DB instance in a single Availability Zone. The company wants business reporting queries to run without impacting the write operations to the production DB instance.
Which solution meets these requirements?

• A. Scale out the DB instance horizontally by placing it behind an Elastic Load Balancer
• B. Scale up the DB instance to a larger instance type to handle write operations and queries
• C. Deploy the OB distance in multiple Availability Zones to process the business reporting queries
• D. Deploy RDS read replicas to process the business reporting queries.

Answer: B

NEW QUESTION 46
A Solutions Architect joined a large tech company with an existing Amazon VPC. When reviewing the Auto Scaling events, the Architect noticed that their web application is scaling up and down multiple times within the hour.
What design change could the Architect make to optimize cost while preserving elasticity?

• A. Add provisioned IOPS to the instances
• B. Increase the instance type in the launch configuration
• C. Increase the base number of Auto Scaling instances for the Auto Scaling group
• D. Change the cooldown period of the Auto Scaling group and set the CloudWatch metric to a higher threshold

Answer: D

Explanation:
Since the application is scaling up and down multiple times within the hour, the issue lies on the cooldown period of the Auto Scaling group.

The cooldown period is a configurable setting for your Auto Scaling group that helps to ensure that it doesn't launch or terminate additional instances before the previous scaling activity takes effect. After the Auto Scaling group dynamically scales using a simple scaling policy, it waits for the cooldown period to complete before resuming scaling activities.
When you manually scale your Auto Scaling group, the default is not to wait for the cooldown period, but you can override the default and honor the cooldown period. If an instance becomes unhealthy, the Auto Scaling group does not wait for the cooldown period to complete before replacing the unhealthy instance.
Explanation:
Reference:
http://docs.aws.amazon.com/autoscaling/latest/userguide/as-scale-based-on-demand.html Check out this Amazon EC2 Cheat Sheet:
https://tutorialsdojo.com/amazon-elastic-compute-cloud-amazon-ec2/

NEW QUESTION 47
A government agency plans to store confidential tax documents on AWS. Due to the sensitive information in the files, the Solutions Architect must restrict the data access requests made to the storage solution to a specific Amazon VPC only. The solution should also prevent the files from being deleted or overwritten to meet the regulatory requirement of having a write-once-read-many (WORM) storage model.
Which combination of the following options should the Architect implement? (Select TWO.)

• A. Create a new Amazon S3 bucket with the S3 Object Lock feature enabled. Store the documents in the bucket and set the Legal Hold option for object retention.
• B. Enable Object Lock but disable Object Versioning on the new Amazon S3 bucket to comply with the write-once-read-many (WORM) storage model requirement.
• C. Set up a new Amazon S3 bucket to store the tax documents and integrate it with AWS Network Firewall. Configure the Network Firewall to only accept data access requests from a specific Amazon VPC.
• D. Store the tax documents in the Amazon S3 Glacier Instant Retrieval storage class to restrict fast data retrieval to a particular Amazon VPC of your choice.
• E. Configure an Amazon S3 Access Point for the S3 bucket to restrict data access to a particular Amazon VPC only.

Answer: A,E

Explanation:
Amazon S3 access points simplify data access for any AWS service or customer application that stores data in S3. Access points are named network endpoints that are attached to buckets that you can use to perform S3 object operations, such as GetObject and PutObject.
Each access point has distinct permissions and network controls that S3 applies for any request that is made through that access point. Each access point enforces a customized access point policy that works in conjunction with the bucket policy that is attached to the underlying bucket. You can configure any access point to accept requests only from a virtual private cloud (VPC) to restrict Amazon S3 data access to a private network. You can also configure custom block public access settings for each access point.

You can also use Amazon S3 Multi-Region Access Points to provide a global endpoint that applications can use to fulfill requests from S3 buckets located in multiple AWS Regions. You can use Multi-Region Access Points to build multi-Region applications with the same simple architecture used in a single Region, and then run those applications anywhere in the world. Instead of sending requests over the congested public internet, Multi-Region Access Points provide built-in network resilience with acceleration of internet-based requests to Amazon S3. Application requests made to a Multi-Region Access Point global endpoint use AWS Global Accelerator to automatically route over the AWS global network to the S3 bucket with the lowest network latency.
With S3 Object Lock, you can store objects using a write-once-read-many (WORM) model. Object Lock can help prevent objects from being deleted or overwritten for a fixed amount of time or indefinitely. You can use Object Lock to help meet regulatory requirements that require WORM storage, or to simply add another layer of protection against object changes and deletion.

Before you lock any objects, you have to enable a bucket to use S3 Object Lock. You enable Object Lock when you create a bucket. After you enable Object Lock on a bucket, you can lock objects in that bucket. When you create a bucket with Object Lock enabled, you can't disable Object Lock or suspend versioning for that bucket.
Hence, the correct answers are:
- Configure an Amazon S3 Access Point for the S3 bucket to restrict data access to a particular Amazon VPC only.
- Create a new Amazon S3 bucket with the S3 Object Lock feature enabled. Store the documents in the bucket and set the Legal Hold option for object retention.
The option that says: Set up a new Amazon S3 bucket to store the tax documents and integrate it with AWS Network Firewall. Configure the Network Firewall to only accept data access requests from a specific Amazon VPC is incorrect because you cannot directly use an AWS Network Firewall to restrict S3 bucket data access requests to a specific Amazon VPC only. You have to use an Amazon S3 Access Point instead for this particular use case. An AWS Network Firewall is commonly integrated to your Amazon VPC and not to an S3 bucket.
The option that says: Store the tax documents in the Amazon S3 Glacier Instant Retrieval storage class to restrict fast data retrieval to a particular Amazon VPC of your choice is incorrect because Amazon S3 Glacier Instant Retrieval is just an archive storage class that delivers the lowest-cost storage for long- lived data that is rarely accessed and requires retrieval in milliseconds. It neither provides write-once- read-many (WORM) storage nor a fine-grained network control that restricts S3 bucket access to a specific Amazon VPC.
The option that says: Enable Object Lock but disable Object Versioning on the new Amazon S3 bucket to comply with the write-once-read-many (WORM) storage model requirement is incorrect. Although the Object Lock feature does provide write-once-read-many (WORM) storage, the Object Versioning feature must also be enabled too in order for this to work. In fact, you cannot manually disable the Object Versioning feature if you have already selected the Object Lock option. References:
https://docs.aws.amazon.com/AmazonS3/latest/userguide/access-points.html
https://docs.aws.amazon.com/AmazonS3/latest/userguide/object-lock.html
Check out this Amazon S3 Cheat Sheet:
https://tutorialsdojo.com/amazon-s3/

NEW QUESTION 48
A company hostss a three application on Amazon EC2 instances in a single Availability Zone. The web application uses a self-managed MySQL database that is hosted on an EC2 instances to store data in an Amazon Elastic Block Store (Amazon EBS) volumn. The MySQL database currently uses a 1 TB Provisioned IOPS SSD (io2) EBS volume. The company expects traffic of 1,000 IOPS for both reads and writes at peak traffic.
The company wants to minimize any distruptions, stabilize perperformace, and reduce costs while retaining the capacity for double the IOPS. The company wants to more the database tier to a fully managed solution that is highly available and fault tolerant.
Which solution will meet these requirements MOST cost-effectively?

• A. Use two large EC2 instances to host the database in active-passive mode.
• B. Use Amazon S3 Intelligent-Tiering access tiers.
• C. Use a Multi-AZ deployment of an Amazon RDS for MySQL DB instance with a General Purpose SSD (gp2) EBS volume.
• D. Use a Multi-AZ deployment of an Amazon RDS for MySQL DB instance with an io2 Block Express EBS volume.

Answer: D

NEW QUESTION 49
A company has several microservices that send messages to an Amazon SQS queue and a backend application that poll the queue to process the messages. The company also has a Service Level Agreement (SLA) which defines the acceptable amount of time that can elapse from the point when the messages are received until a response is sent. The backend operations are I/O-intensive as the number of messages is constantly growing, causing the company to miss its SLA. The Solutions Architect must implement a new architecture that improves the application's processing time and load management.
Which of the following is the MOST effective solution that can satisfy the given requirement?

• A. Create an AMI of the backend application's EC2 instance and replace it with a larger instance size.
• B. Create an AMI of the backend application's EC2 instance. Use the image to set up an Auto Scaling group and configure a target tracking scaling policy based on the ApproximateAgeOfOldestMessage metric.
• C. Create an AMI of the backend application's EC2 instance. Use the image to set up an Auto Scaling group and configure a target tracking scaling policy based on the CPUUtilization metric with a target value of 80%.
• D. Create an AMI of the backend application's EC2 instance and launch it to a cluster placement group.

Answer: B

Explanation:
Amazon Simple Queue Service (SQS) is a fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications. SQS eliminates the complexity and overhead associated with managing and operating message-oriented middleware and empowers developers to focus on differentiating work. Using SQS, you can send, store, and receive messages between software components at any volume, without losing messages or requiring other services to be available.

The ApproximateAgeOfOldestMessage metric is useful when applications have time-sensitive messages and you need to ensure that messages are processed within a specific time period. You can use this metric to set Amazon CloudWatch alarms that issue alerts when messages remain in the queue for extended periods of time. You can also use alerts to take action, such as increasing the number of consumers to process messages more quickly.
With a target tracking scaling policy, you can scale (increase or decrease capacity) a resource based on a target value for a specific CloudWatch metric. To create a custom metric for this policy, you need to use AWS CLI or AWS SDKs. Take note that you need to create an AMI from the instance first before you can create an Auto Scaling group to scale the instances based on the ApproximateAgeOfOldestMessage metric.
Hence, the correct answer is: Create an AMI of the backend application's EC2 instance. Use the image to set up an Auto Scaling Group and configure a target tracking scaling policy based on the ApproximateAgeOfOldestMessage metric.
The option that says: Create an AMI of the backend application's EC2 instance. Use the image to set up an Auto Scaling Group and configure a target tracking scaling policy based on the CPUUtilization metric with a target value of 80% is incorrect. Although this will improve the backend processing, the scaling policy based on the CPUUtilization metric is not meant for time-sensitive messages where you need to ensure that the messages are processed within a specific time period. It will only trigger the scale-out activities based on the CPU Utilization of the current instances, and not based on the age of the message, which is a crucial factor in meeting the SLA. To satisfy the requirement in the scenario, you should use the ApproximateAgeOfOldestMessage metric.
The option that says: Create an AMI of the backend application's EC2 instance and replace it with a larger instance size is incorrect because replacing the instance with a large size won't be enough to dynamically handle workloads at any level. You need to implement an Auto Scaling group to automatically adjust the capacity of your computing resources.
The option that says: Create an AMI of the backend application's EC2 instance and launch it to a cluster placement group is incorrect because a cluster placement group is just a logical grouping of EC2 instances. Instead of launching the instance in a placement group, you must set up an Auto Scaling group for your EC2 instances and configure a target tracking scaling policy based on the ApproximateAgeOfOldestMessage metric.
References:
https://aws.amazon.com/about-aws/whats-new/2016/08/new-amazon-cloudwatch-metric-for-amazon-sqs
-monitors-the-age-of-the-oldest-message/
https://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/sqs-available-cloud watch-metrics.html
https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-using-sqs-queue.html Check out this Amazon SQS Cheat Sheet:
https://tutorialsdojo.com/amazon-sqs/

NEW QUESTION 50
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