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The AWS Certified Solutions Architect - Associate (SAA-C02) exam is a certification offered by Amazon Web Services (AWS) for individuals seeking to become proficient in designing and deploying scalable, highly available, and fault-tolerant systems on AWS. AWS-Solutions-Architect-Associate exam measures the candidate's knowledge of AWS architectural principles, best practices, and design patterns. It is intended for professionals with experience in designing distributed applications and systems on AWS.
The AWS-Solutions-Associate exam tests the candidate's ability to design and deploy scalable, highly available, and fault-tolerant systems on AWS. It also evaluates their ability to select the appropriate AWS services to meet specific requirements and to deploy and manage applications on AWS. AWS-Solutions-Architect-Associate Exam includes multiple-choice and multiple-response questions and takes around 130 minutes to complete.
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To become an AWS Certified Solutions Architect - Associate, candidates need to pass the AWS-Solutions-Architect-Associate Exam, which measures their ability to demonstrate the skills required for designing and deploying scalable, highly available, and fault-tolerant systems on AWS. AWS-Solutions-Architect-Associate exam covers a broad range of topics, including AWS services and architecture, deployment and management, security and compliance, and troubleshooting. Candidates also need to demonstrate their ability to design and implement infrastructure solutions, including compute, storage, networking, and database services.
Amazon AWS Certified Solutions Architect - Associate (SAA-C02) Sample Questions (Q718-Q723):
NEW QUESTION # 718
Your customer wishes to deploy an enterprise application to AWS which will consist of several web servers, several application servers and a small (50GB) Oracle database information is stored, both in the database and the file systems of the various servers. The backup system must support database recovery whole server and whole disk restores, and individual file restores with a recovery time of no more than two hours. They have chosen to use RDS Oracle as the database Which backup architecture will meet these requirements?
Answer: B
Explanation:
Point-In-Time Recovery
In addition to the daily automated backup, Amazon RDS archives database change logs. This enables you to recover your database to any point in time during the backup retention period, up to the last five minutes of database usage.
Amazon RDS stores multiple copies of your data, but for Single-AZ DB instances these copies are stored in a single availability zone. If for any reason a Single-AZ DB instance becomes unusable, you can use point-in-time recovery to launch a new DB instance with the latest restorable data. For more information on working with point-in-time recovery, go to Restoring a DB Instance to a Specified Time.
Note
Multi-AZ deployments store copies of your data in different Availability Zones for greater levels of data durability. For more information on Multi-AZ deployments, see High Availability (Multi-AZ).
NEW QUESTION # 719
A company has a highly dynamic batch processing job that uses many Amazon EC2 instances to complete it.
The job is stateless in nature, can be started and stopped at any given time with no negative impact, and typically takes upwards of 60 minutes total to complete. The company has asked a solutions architect to design a scalable and cost-effective solution that meets the requirements of the job.
What should the solutions architect recommend?
Answer: C
Explanation:
EC2 Spot Instances allow users to bid on spare Amazon EC2 computing capacity and can be a cost-effective solution for stateless, interruptible workloads that can be started and stopped at any time. Since the batch processing job is stateless, can be started and stopped at any time, and typically takes upwards of 60 minutes to complete, EC2 Spot Instances would be a good fit for this workload.
NEW QUESTION # 720
You need a persistent and durable storage to trace call activity of an IVR (Interactive Voice Response) system. Call duration is mostly in the 2-3 minutes timeframe. Each traced call can be either active or terminated. An external application needs to know each minute the list of currently active calls, which are usually a few calls/second. Put once per month there is a periodic peak up to 1000 calls/second for a few hours. The system is open 24/7 and any downtime should be avoided.
Historical data is periodically archived to files. Cost saving is a priority for this project.
What database implementation would better fit this scenario, keeping costs as low as possible?
Answer: A
NEW QUESTION # 721
A company is migrating its on-premises Oracle database to an Amazon RDS for Oracle database. The company needs to retain data for 90 days to meet regulatory requirements. The company must also be able to restore the database to a specific point in time for up to 14 days.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: B
Explanation:
AWS Backup is the most appropriate solution for managing backups with minimal operational overhead while meeting the regulatory requirement to retain data for 90 days and enabling point-in-time restore for up to 14 days.
AWS Backup: AWS Backup provides a centralized backup management solution that supports automated backup scheduling, retention management, and compliance reporting across AWS services, including Amazon RDS. By creating a backup plan, you can define a retention period (in this case, 90 days) and automate the backup process.
Point-in-Time Restore (PITR): Amazon RDS supports point-in-time restore for up to 35 days with automated backups. By using AWS Backup in conjunction with RDS, you ensure that your backup strategy meets the requirement for restoring data to a specific point in time within the last 14 days.
Why Not Other Options?:
Option A (RDS Automated Backups): While RDS automated backups support PITR, they do not directly support retention beyond 35 days without manual intervention.
Option B (Manual Snapshots): Manually creating and managing snapshots is operationally intensive and less automated compared to AWS Backup.
Option C (Aurora Clones): Aurora Clone is a feature specific to Amazon Aurora and is not applicable to Amazon RDS for Oracle.
AWS References:
AWS Backup- Overview of AWS Backup and its capabilities.
Amazon RDS Automated Backups- Information on how RDS automated backups work and their limitations.
NEW QUESTION # 722
Legacy applications currently send messages through a single Amazon EC2 instance, which then routes the messages to the appropriate destinations. The Amazon EC2 instance is a bottleneck and single point of failure, so the company would like to address these issues.
Which services could address this architectural use case? (Choose two.)
Answer: A,D
Explanation:
Explanation
Amazon SNS works closely with Amazon Simple Queue Service (Amazon SQS). Both services provide different benefits for developers. Amazon SNS allows applications to send time-critical messages to multiple subscribers through a "push" mechanism, which eliminates the need to periodically check or "poll" for updates. Amazon SQS is a message queue service used by distributed applications to exchange messages through a polling model and can be used to decouple sending and receiving components without requiring each component to be concurrently available. By using Amazon SNS and Amazon SQS together, messages can be delivered to applications that require immediate notification of an event and also persisted in an Amazon SQS queue for other applications to process at a later time.
NEW QUESTION # 723
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