IN-DEPTH OF QUESTIONS AWS-SOLUTIONS-ASSOCIATE VALUABLE RESOURCE

In-Depth of Questions AWS-Solutions-Associate valuable resource

In-Depth of Questions AWS-Solutions-Associate valuable resource

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Amazon AWS Certified Solutions Architect - Associate (SAA-C02) Sample Questions (Q475-Q480):

NEW QUESTION # 475
A company wants to deploy its containerized application workloads to a VPC across three Availability Zones.
The company needs a solution that is highly available across Availability Zones. The solution must require minimal changes to the application.
Which solution will meet these requirements with the LEAST operational overhead?

  • A. Use an AWS Lambda function. Configure the Lambda function to connect to a VPC. Configure Application Auto Scaling to use Lambda as a scalable target. Set the minimum capacity to 3.
  • B. Use Amazon Elastic Kubernetes Service (Amazon EKS) self-managed nodes. Configure Application Auto Scaling to use target tracking scaling. Set the minimum capacity to 3.
  • C. Use Amazon EC2 Reserved Instances. Launch three EC2 instances in a spread placement group.
    Configure an Auto Scaling group to use target tracking scaling. Set the minimum capacity to 3.
  • D. Use Amazon Elastic Container Service (Amazon ECS). Configure Amazon ECS Service Auto Scaling to use target tracking scaling. Set the minimum capacity to 3. Set the task placement strategy type to spread with an Availability Zone attribute.

Answer: D

Explanation:
The company wants to deploy its containerized application workloads to a VPC across three Availability Zones, with high availability and minimal changes to the application. The solution that will meet these requirements with the least operational overhead is:
Use Amazon Elastic Container Service (Amazon ECS). Amazon ECS is a fully managed container orchestration service that allows you to run and scale containerized applications on AWS. Amazon ECS eliminates the need for you to install, operate, and scale your own cluster management infrastructure. Amazon ECS also integrates with other AWS services, such as VPC, ELB, CloudFormation, CloudWatch, IAM, and more.
Configure Amazon ECS Service Auto Scaling to use target tracking scaling. Amazon ECS Service Auto Scaling allows you to automatically adjust the number of tasks in your service based on the demand or custom metrics. Target tracking scaling is a policy type that adjusts the number of tasks in your service to keep a specified metric at a target value. For example, you can use target tracking scaling to maintain a target CPU utilization or request count per task for your service.
Set the minimum capacity to 3. This ensures that your service always has at least three tasks running across three Availability Zones, providing high availability and fault tolerance for your application.
Set the task placement strategy type to spread with an Availability Zone attribute. This ensures that your tasks are evenly distributed across the Availability Zones in your cluster, maximizing the availability of your service.
This solution will provide high availability across Availability Zones, require minimal changes to the application, and reduce the operational overhead of managing your own cluster infrastructure.
References:
Amazon Elastic Container Service
AmazonECS Service Auto Scaling
Target Tracking Scaling Policies for Amazon ECS Services
Amazon ECS Task Placement Strategies


NEW QUESTION # 476
A company hosts an application on AWS Lambda functions mat are invoked by an Amazon API Gateway API The Lambda functions save customer data to an Amazon Aurora MySQL database Whenever the company upgrades the database, the Lambda functions fail to establish database connections until the upgrade is complete The result is that customer data Is not recorded for some of the event A solutions architect needs to design a solution that stores customer data that is created during database upgrades Which solution will meet these requirements?

  • A. Store the customer data m an Amazon Simple Queue Service (Amazon SOS) FIFO queue Create a new Lambda function that polls the queue and stores the customer data in the database
  • B. Persist the customer data to Lambda local storage. Configure new Lambda functions to scan the local storage to save the customer data to the database.
  • C. Provision an Amazon RDS proxy to sit between the Lambda functions and the database Configure the Lambda functions to connect to the RDS proxy
  • D. Increase the run time of me Lambda functions to the maximum Create a retry mechanism in the code that stores the customer data in the database

Answer: A

Explanation:
https://www.learnaws.org/2020/12/13/aws-rds-proxy-deep-dive/
RDS proxy can improve application availability in such a situation by waiting for the new database instance to be functional and maintaining any requests received from the application during this time. The end result is that the application is more resilient to issues with the underlying database.
This will enable solution to hold data till the time DB comes back to normal. RDS proxy is to optimally utilize the connection between Lambda and DB. Lambda can open multiple connection concurrently which can be taxing on DB compute resources, hence RDS proxy was introduced to manage and leverage these connections efficiently.


NEW QUESTION # 477
A company has a website running on Amazon EC2. The application DNS name points to an Elastic IP address associated with the EC2 instance. In the event of an attack on the website coming from a specific IP address, the company wants a way to block the offending IP address.
Which tool or service should a Solutions Architect recommend to block the IP address?

  • A. Security groups
  • B. AWS Shield
  • C. AWS WAF
  • D. Network ACL

Answer: D

Explanation:
Explanation
AWS WAF is a web application firewall that lets you monitor the HTTP and HTTPS requests that are forwarded to an Amazon API Gateway API, Amazon CloudFront or an Application Load Balancer.
https://docs.aws.amazon.com/waf/latest/developerguide/what-is-aws-waf.html


NEW QUESTION # 478
A company stores data in an on-premises Oracle relational database. The company needs to make the data available in Amazon Aurora PostgreSQL for analysis The company uses an AWS Site-to-Site VPN connection to connect its on-premises network to AWS.
The company must capture the changes that occur to the source database during the migration to Aurora PostgreSQL.
Which solution will meet these requirements?

  • A. Use AWS DataSync to migrate the data to an Amazon S3 bucket. Import the S3 data to Aurora PostgreSQL by using the Aurora PostgreSQL aws_s3 extension.
  • B. Use an AWS Snowball device to migrate the data to an Amazon S3 bucket. Import the S3 data to Aurora PostgreSQL by using the Aurora PostgreSQL aws_s3 extension.
  • C. Use the AWS Schema Conversion Tool (AWS SCT) to convert the Oracle schema to Aurora PostgreSQL schema. Use AWS Database Migration Service (AWS DMS) to migrate the existing data and replicate the ongoing changes.
  • D. Use the AWS Schema Conversion Tool (AWS SCT) to convert the Oracle schema to Aurora PostgreSQL schema. Use the AWS Database Migration Service (AWS DMS) full-load migration task to migrate the data.

Answer: C

Explanation:
For the migration of data from an on-premises Oracle database to Amazon Aurora PostgreSQL, this solution effectively handles schema conversion, data migration, and ongoing data replication.
AWS Schema Conversion Tool (SCT): SCT is used to convert the Oracle database schema to a format compatible with Aurora PostgreSQL. This tool automatically converts the database schema and code objects, like stored procedures, to the target database engine.
AWS Database Migration Service (DMS): DMS is employed to perform the data migration. It supports both full-load migrations (for initial data transfer) and continuous replication of ongoing changes (Change Data Capture, or CDC). This ensures that any updates to the Oracle database during the migration are captured and applied to the Aurora PostgreSQL database, minimizing downtime.
Why Not Other Options?:
Option A (SCT + DMS full-load only): This option does not capture ongoing changes, which is crucial for a live database migration to ensure data consistency.
Option B (DataSync + S3): AWS DataSync is more suited for file transfers rather than database migrations, and it doesn't support ongoing change replication.
Option D (Snowball + S3): Snowball is typically used for large-scale data transfers that don't require continuous synchronization, making it less suitable for this scenario where ongoing changes must be captured.
AWS References:
AWS Schema Conversion Tool- Guidance on using SCT for database schema conversions.
AWS Database Migration Service- Detailed documentation on using DMS for data migrations and ongoing replication.


NEW QUESTION # 479
A company needs to deploy services to an AWS region which they have not previously used. The company currently has an AWS identity and Access Management (IAM) role for the Amazon EC2 instances, which permits the instance to have access to Amazon DynamoDB. The company wants their EC2 instances in the new region to have the same privileges. How should the company achieve this?

  • A. Create an Amazon Machine Image (AMI) of the instance and copy it to the desired region using the AMI Copy feature
  • B. Assign the existing IAM role to the Amazon EC2 instances in the new region
  • C. Copy the IAM role and associated policies to the new region and attach it to the instances
  • D. Create a new IAM role and associated policies within the new region

Answer: B


NEW QUESTION # 480
......

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