TEST AMAZON SAA-C03 SIMULATOR | INTERACTIVE SAA-C03 PRACTICE EXAM

Test Amazon SAA-C03 Simulator | Interactive SAA-C03 Practice Exam

Test Amazon SAA-C03 Simulator | Interactive SAA-C03 Practice Exam

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam Sample Questions (Q680-Q685):

NEW QUESTION # 680
A company has hired a solutions architect to design a reliable architecture for its application. The application consists of one Amazon RDS DB instance and two manually provisioned Amazon EC2 instances that run web servers. The EC2 instances are located in a single Availability Zone.
An employee recently deleted the DB instance, and the application was unavailable for 24 hours as a result.
The company is concerned with the overall reliability of its environment.
What should the solutions architect do to maximize reliability of the application's infrastructure?

  • A. Create an additional DB instance along with an Amazon API Gateway and an AWS Lambda function.
    Configure the application to invoke the Lambda function through API Gateway. Have the Lambda function write the data to the two DB instances.
  • B. Delete one EC2 instance and enable termination protection on the other EC2 instance. Update the DB instance to be Multi-AZ, and enable deletion protection.
  • C. Place the EC2 instances in an EC2 Auto Scaling group that has multiple subnets located in multiple Availability Zones. Use Spot Instances instead of On-Demand Instances. Set up Amazon CloudWatch alarms to monitor the health of the instances. Update the DB instance to be Multi-AZ, and enable deletion protection.
  • D. Update the DB instance to be Multi-AZ, and enable deletion protection. Place the EC2 instances behind an Application Load Balancer, and run them in an EC2 Auto Scaling group across multiple Availability Zones.

Answer: D

Explanation:
Explanation
This answer is correct because it meets the requirements of maximizing the reliability of the application's infrastructure. You can update the DB instance to be Multi-AZ, which means that 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 and minimize latency spikes during system backups. Running a DB instance with high availability can enhance availability during planned system maintenance. It can also help protect your databases against DB instance failure and Availability Zone disruption. You can also enable deletion protection on the DB instance, which prevents the DB instance from being deleted by any user. You can place the EC2 instances behind an Application Load Balancer, which distributes incoming application traffic across multiple targets, such as EC2 instances, in multiple Availability Zones. This increases the availability and fault tolerance of your applications. You can run the EC2 instances in an EC2 Auto Scaling group across multiple Availability Zones, which ensures that you have the correct number of EC2 instances available to handle the load for your application. You can use scaling policies to adjust the number of instances in your Auto Scaling group in response to changing demand.
References:
* https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.MultiAZSingleStandby.html
* https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_DeleteInstance.html#USER_DeleteIn
* https://docs.aws.amazon.com/elasticloadbalancing/latest/application/introduction.html
* https://docs.aws.amazon.com/autoscaling/ec2/userguide/AutoScalingGroup.html


NEW QUESTION # 681
A company has multiple AWS accounts for development work. Some staff consistently use oversized Amazon EC2 instances, which causes the company to exceed the yearly budget for the development accounts The company wants to centrally restrict the creation of AWS resources in these accounts Which solution will meet these requirements with the LEAST development effort?

  • A. Use AWS Organizations to organize the accounts into organizational units (OUs). Define and attach a service control policy (SCP) to control the usage of EC2 instance types.
  • B. Configure an Amazon EventBridge rule that invokes an AWS Lambda function when an EC2 instance is created. Stop disallowed EC2 instance types.
  • C. Set up AWS Service Catalog products for the staff to create the allowed EC2 instance types Ensure that staff can deploy EC2 instances only by using the Service Catalog products.
  • D. Develop AWS Systems Manager templates that use an approved EC2 creation process. Use the approved Systems Manager templates to provision EC2 instances.

Answer: A

Explanation:
A) Develop AWS Systems Manager templates that use an approved EC2 creation process. Use the approved Systems Manager templates to provision EC2 instances. This solution will not meet the requirement of the least development effort, as it involves developing and maintaining custom templates for EC2 creation, and relying on the staff to use the approved templates instead of enforcing a restriction2.
C) Configure an Amazon EventBridge rule that invokes an AWS Lambda function when an EC2 instance is created. Stop disallowed EC2 instance types. This solution will not meet the requirement of the least development effort, as it involves writing custom code for Lambda functions, and handling events and errors for EC2 creation3.
D) Set up AWS Service Catalog products for the staff to create the allowed EC2 instance types En-sure that staff can deploy EC2 instances only by using the Service Catalog products. This solution will not meet the requirement of the least development effort, as it involves setting up and managing Service Catalog products for EC2 creation, and ensuring that staff can only use Service Catalog products instead of enforcing a restriction.
Reference URL: https://docs.aws.amazon.com/organizations/latest/userguide/orgs_manage_policies_scps.html Explanation:
AWS Organizations is a service that helps users centrally manage and govern multiple AWS accounts. It allows users to create organizational units (OUs) to group accounts based on business needs or other criteria. It also allows users to define and attach service control policies (SCPs) to OUs or accounts to restrict the actions that can be performed by the accounts1. By using AWS Organizations, the solution can centrally restrict the creation of AWS resources in the development accounts.


NEW QUESTION # 682
A global medical research company has a molecular imaging system that provides each client with frequently updated images of what is happening inside the human body at the molecular and cellular levels. The system is hosted in AWS and the images are hosted in an S3 bucket behind a CloudFront web distribution. When a fresh batch of images is uploaded to S3, it is required to keep the previous ones in order to prevent them from being overwritten.
Which of the following is the most suitable solution to solve this issue?

  • A. Use versioned objects
  • B. Add Cache-Control no-cache, no-store, or private directives in the S3 bucket
  • C. Add a separate cache behavior path for the content and configure a custom object caching with a Minimum TTL of 0
  • D. Invalidate the files in your CloudFront web distribution

Answer: A

Explanation:
To control the versions of files that are served from your distribution, you can either invalidate files or give them versioned file names. If you want to update your files frequently, AWS recommends that you primarily use file versioning for the following reasons:
- Versioning enables you to control which file a request returns even when the user has a version cached either locally or behind a corporate caching proxy. If you invalidate the file, the user might continue to see the old version until it expires from those caches.
- CloudFront access logs include the names of your files, so versioning makes it easier to analyze the results of file changes.
- Versioning provides a way to serve different versions of files to different users.
- Versioning simplifies rolling forward and back between file revisions.
- Versioning is less expensive. You still have to pay for CloudFront to transfer new versions of your files to edge locations, but you don't have to pay for invalidating files.
Invalidating the files in your CloudFront web distribution is incorrect because even though using invalidation will solve this issue, this solution is more expensive as compared to using versioned objects.
Adding a separate cache behavior path for the content and configuring a custom object caching with a Minimum TTL of 0 is incorrect because this alone is not enough to solve the problem. A cache behavior is primarily used to configure a variety of CloudFront functionality for a given URL path pattern for files on your website. Although this solution may work, it is still better to use versioned objects where you can control which image will be returned by the system even when the user has another version cached either locally or behind a corporate caching proxy.
Adding Cache-Control no-cache, no-store, or private directives in the S3 bucket is incorrect because although it is right to configure your origin to add the Cache-Control or Expires header field, you should do this to your objects and not on the entire S3 bucket.
References:
https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/UpdatingExistingObjects.html
https://aws.amazon.com/premiumsupport/knowledge-center/prevent-cloudfront-from-caching-files/
https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/Invalidation.html#PayingForInv alidation Check out this Amazon CloudFront Cheat Sheet: https://tutorialsdojo.com/amazon-cloudfront/


NEW QUESTION # 683
An e-commerce company has an application that uses Amazon DynamoDB tables configured with provisioned capacity. Order data is stored in a table named Orders. The Orders table has a primary key of order-ID and a sort key of product-ID. The company configured an AWS Lambda function to receive DynamoDB streams from the Orders table and update a table named Inventory. The company has noticed that during peak sales periods, updates to the Inventory table take longer than the company can tolerate. Which solutions will resolve the slow table updates? (Select TWO.)

  • A. Add a global secondary index to the Orders table. Include the product-ID attribute.
  • B. Increase the DynamoDB table provisioned capacity by 1,000 write capacity units (WCUs).
  • C. Set the batch size attribute of the DynamoDB streams to be based on the size of items in the Orders table.
  • D. Increase the timeout of the Lambda function to 15 minutes.
  • E. Increase the DynamoDB table provisioned capacity by 1,000 read capacity units (RCUs).

Answer: B,C

Explanation:
* Key Problem:
* Delayed Inventory table updates during peak sales.
* DynamoDB Streams and Lambda processing require optimization.
* Analysis of Options:
* Option A: Adding a GSI is unrelated to the issue. It does not address stream processing delays or capacity issues.
* Option B: Optimizing batch size reduces latency and allows the Lambda function to process larger chunks of data at once, improving performance during peak load.
* Option C: Increasing write capacity for the Inventory table ensures that it can handle the increased volume of updates during peak times.
* Option D: Increasing read capacity for the Orders table does not directly resolve the issue since the problem is with updates to the Inventory table.
* Option E: Increasing Lambda timeout only addresses longer processing times but does not solve the underlying throughput problem.
* AWS References:
* DynamoDB Streams Best Practices
* Provisioned Throughput in DynamoDB


NEW QUESTION # 684
A company plans to migrate a NoSQL database to an EC2 instance. The database is configured to replicate the data automatically to keep multiple copies of data for redundancy. The Solutions Architect needs to launch an instance that has a high IOPS and sequential read/write access.
Which of the following options fulfills the requirement if I/O throughput is the highest priority?

  • A. Use General purpose instances with EBS volume.
  • B. Use Compute optimized instance with instance store volume.
  • C. Use Storage optimized instances with instance store volume.
  • D. Use Memory optimized instances with EBS volume.

Answer: C

Explanation:
Amazon EC2 provides a wide selection of instance types optimized to fit different use cases. Instance types comprise varying combinations of CPU, memory, storage, and networking capacity and give you the flexibility to choose the appropriate mix of resources for your applications. Each instance type includes one or more instance sizes, allowing you to scale your resources to the requirements of your target workload.

A storage optimized instance is designed for workloads that require high, sequential read and write access to very large data sets on local storage. They are optimized to deliver tens of thousands of low- latency, random I/O operations per second (IOPS) to applications. Some instance types can drive more I/O throughput than what you can provision for a single EBS volume. You can join multiple volumes together in a RAID 0 configuration to use the available bandwidth for these instances.
Based on the given scenario, the NoSQL database will be migrated to an EC2 instance. The suitable instance type for NoSQL database is I3 and I3en instances. Also, the primary data storage for I3 and I3en instances is non-volatile memory express (NVMe) SSD instance store volumes. Since the data is replicated automatically, there will be no problem using an instance store volume.
Hence, the correct answer is: Use Storage optimized instances with instance store volume.
The option that says: Use Compute optimized instances with instance store volume is incorrect because this type of instance is ideal for compute-bound applications that benefit from high-performance processors. It is not suitable for a NoSQL database.
The option that says: Use General purpose instances with EBS volume is incorrect because this instance only provides a balance of computing, memory, and networking resources. Take note that the requirement in the scenario is high sequential read and write access. Therefore, you must use a storage optimized instance.
The option that says: Use Memory optimized instances with EBS volume is incorrect. Although this type of instance is suitable for a NoSQL database, it is not designed for workloads that require high, sequential read and write access to very large data sets on local storage.
References:
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/storage-optimized-instances.html
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instance-types.html Amazon EC2 Overview:
https://www.youtube.com/watch?v=7VsGIHT_jQE
Check out this Amazon EC2 Cheat Sheet:
https://tutorialsdojo.com/amazon-elastic-compute-cloud-amazon-ec2/


NEW QUESTION # 685
......

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