100% Pass Quiz Valid Dumps SAA-C03 Ebook - First-grade AWS Certified Solutions Architect - Associate Test Vce
100% Pass Quiz Valid Dumps SAA-C03 Ebook - First-grade AWS Certified Solutions Architect - Associate Test Vce
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The SAA-C03 Certification Exam is intended for professionals who have experience with AWS services and are familiar with cloud computing concepts. SAA-C03 exam tests the candidate's understanding of AWS core services, including Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (S3), Amazon Elastic Block Store (EBS), Amazon Relational Database Service (RDS), Amazon Virtual Private Cloud (VPC), and AWS Identity and Access Management (IAM).
Amazon SAA-C03 Certification Exam is a highly sought-after certification for IT professionals seeking to demonstrate their expertise in designing and deploying scalable, highly available, and fault-tolerant systems on Amazon Web Services (AWS) cloud platform. AWS Certified Solutions Architect - Associate certification exam is designed to validate the candidate's ability to architect and deploy secure and robust applications on the AWS platform, using best practices and industry-standard techniques.
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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q165-Q170):
NEW QUESTION # 165
A company has deployed a multiplayer game for mobile devices. The game requires live location tracking of players based on latitude and longitude. The data store for the game must support rapid updates and retrieval of locations.
The game uses an Amazon RDS for PostgreSQL DB instance with read replicas to store the location dat a. During peak usage periods, the database is unable to maintain the performance that is needed for reading and writing updates. The game's user base is increasing rapidly.
What should a solutions architect do to improve the performance of the data tier?
- A. Deploy an Amazon ElastiCache for Redis cluster in front of the existing DB instance. Modify the game to use Redis.
- B. Take a snapshot of the existing DB instance. Restore the snapshot with Multi-AZ enabled.
- C. Deploy Amazon DynamoDB Accelerator (DAX) in front of the existing DB instance. Modify the game to use DAX.
- D. Migrate from Amazon RDS to Amazon OpenSearch Service with OpenSearch Dashboards.
Answer: A
Explanation:
The solution that will improve the performance of the data tier is to deploy an Amazon ElastiCache for Redis cluster in front of the existing DB instance and modify the game to use Redis. This solution will enable the game to store and retrieve the location data of the players in a fast and scalable way, as Redis is an in-memory data store that supports geospatial data types and commands. By using ElastiCache for Redis, the game can reduce the load on the RDS for PostgreSQL DB instance, which is not optimized for high-frequency updates and queries of location data. ElastiCache for Redis also supports replication, sharding, and auto scaling to handle the increasing user base of the game.
The other solutions are not as effective as the first one because they either do not improve the performance, do not support geospatial data, or do not leverage caching. Taking a snapshot of the existing DB instance and restoring it with Multi-AZ enabled will not improve the performance of the data tier, as it only provides high availability and durability, but not scalability or low latency. Migrating from Amazon RDS to Amazon OpenSearch Service with OpenSearch Dashboards will not improve the performance of the data tier, as OpenSearch Service is mainly designed for full-text search and analytics, not for real-time location tracking. OpenSearch Service also does not support geospatial data types and commands natively, unlike Redis. Deploying Amazon DynamoDB Accelerator (DAX) in front of the existing DB instance and modifying the game to use DAX will not improve the performance of the data tier, as DAX is only compatible with DynamoDB, not with RDS for PostgreSQL. DAX also does not support geospatial data types and commands.
Reference:
Amazon ElastiCache for Redis
Geospatial Data Support - Amazon ElastiCache for Redis
Amazon RDS for PostgreSQL
Amazon OpenSearch Service
Amazon DynamoDB Accelerator (DAX)
NEW QUESTION # 166
A company has an application that is backed ny an Amazon DynamoDB table. The company's compliance requirements specify that database backups must be taken every month, must be available for 6 months, and must be retained for 7 years.
Which solution will meet these requirements?
- A. Create an AWS Backup plan to back up the DynamoDB table on the first day of each month. Specify a lifecycle policy that transitions the backup to cold storage after 6 months. Set the retention period for each backup to 7 years.
- B. Use the AWS CLI to create an on-demand backup of the DynamoDB table Set up an Amazon EventBridge rule that runs the command on the first day of each month with a cron expression Specify in the command to transition the backups to cold storage after 6 months and to delete the backups after 7 years.
- C. Create a DynamoDB on-damand backup of the DynamoDB table on the first day of each month Transition the backup to Amazon S3 Glacier Flexible Retrieval after 6 months. Create an S3 Lifecycle policy to delete backups that are older than 7 years.
- D. Use the AWS SDK to develop a script that creates an on-demand backup of the DynamoDB table. Set up an Amzon EvenlBridge rule that runs the script on the first day of each month. Create a second script that will run on the second day of each month to transition DynamoDB backups that are older than 6 months to cold storage and to delete backups that are older than 7 years.
Answer: A
Explanation:
This solution satisfies the requirements in the following ways:
* AWS Backup will automatically take full backups of the DynamoDB table on the schedule defined in the backup plan (the first of each month).
* The lifecycle policy can transition backups to cold storage after 6 months, meeting that requirement.
* Setting a 7-year retention period in the backup plan will ensure each backup is retained for 7 years as required.
* AWS Backup manages the backup jobs and lifecycle policies, requiring no custom scripting or management.
NEW QUESTION # 167
A company recently migrated its web application to AWS by rehosting the application on Amazon EC2 instances in a single AWS Region. The company wants to redesign its application architecture to be highly available and fault tolerant. Traffic must reach all running EC2 instances randomly.
Which combination of steps should the company take to meet these requirements? (Choose two.)
- A. Create an Amazon Route 53 failover routing policy.
- B. Launch four EC2 instances: two instances in one Availability Zone and two instances in another Availability Zone.
- C. Create an Amazon Route 53 weighted routing policy.
- D. Launch three EC2 instances: two instances in one Availability Zone and one instance in another Availability Zone.
- E. Create an Amazon Route 53 multivalue answer routing policy.
Answer: B,E
Explanation:
Explanation
https://aws.amazon.com/premiumsupport/knowledge-center/multivalue-versus-simple-policies/
NEW QUESTION # 168
A company needs to retain application logs files for a critical application for 10 years. The application team regularly accesses logs from the past month for troubleshooting, but logs older than 1 month are rarely accessed. The application generates more than 10 TB of logs per month.
Which storage option meets these requirements MOST cost-effectively?
- A. Store the logs in Amazon CloudWatch Logs Use Amazon S3 Lifecycle policies to move logs more than 1 month old to S3 Glacier Deep Archive
- B. Store the logs in Amazon CloudWatch Logs Use AWS Backup to move logs more then 1 month old to S3 Glacier Deep Archive
- C. Store the Iogs in Amazon S3 Use AWS Backup lo move logs more than 1 month old to S3 Glacier Deep Archive
- D. Store the logs in Amazon S3 Use S3 Lifecycle policies to move logs more than 1 month old to S3 Glacier Deep Archive
Answer: D
Explanation:
You need S3 to be able to archive the logs after one month. Cannot do that with CloudWatch Logs.
NEW QUESTION # 169
A company's application runs on Amazon EC2 instances behind an Application Load Balancer (ALB). The instances run in an Amazon EC2 Auto Scaling group across multiple Availability Zones. On the first day of every month at midnight. The application becomes much slower when the month-end financial calcualtion bath runs. This causes the CPU utilization of the EC2 instaces to immediately peak to 100%, which disrupts the application.
What should a solution architect recommend to ensure the application is able to handle the workload and avoid downtime?
- A. Configure an Amazon CloudFront distribution in from of the ALB.
- B. Configure an EC2 Auto Scaling simple scaling policy based on CPU utilization.
- C. Configure an EC2 Auto Scaling scheduled scaling policy based on the monthly schedule.
- D. Configure Amazon ElasticCache to remove some of the workload from tha EC2 instances.
Answer: C
Explanation:
Explanation
Configure an EC2 Auto Scaling scheduled scaling policy based on the monthly schedule is the best option because it allows for the proactive scaling of the EC2 instances before the monthly batch run begins. This will ensure that the application is able to handle the increased workload without experiencing downtime. The scheduled scaling policy can be configured to increase the number of instances in the Auto Scaling group a few hours before the batch run and then decrease the number of instances after the batch run is complete. This will ensure that the resources are available when needed and not wasted when not needed. The most appropriate solution to handle the increased workload during the monthly batch run and avoid downtime would be to configure an EC2 Auto Scaling scheduled scaling policy based on the monthly schedule.
https://docs.aws.amazon.com/autoscaling/ec2/userguide/ec2-auto-scaling-scheduled-scaling.html
NEW QUESTION # 170
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