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Amazon SAP-C02 exam is a professional-level certification designed for individuals who want to validate their advanced technical skills in designing and deploying scalable, highly available, and fault-tolerant systems on Amazon Web Services (AWS) platform. SAP-C02 exam measures an individual's ability to architect and deploy secure, robust, and reliable applications on AWS. The SAP-C02 Exam is designed for individuals who have already earned their AWS Certified Solutions Architect - Associate certification and have gained relevant work experience in designing and deploying AWS-based applications.
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The SAP-C02 Certification is highly valued in the cloud computing industry and is recognized as a benchmark for advanced AWS skills and expertise. It is widely sought after by employers who are looking for professionals with deep technical knowledge and experience in designing and deploying complex systems on AWS. AWS Certified Solutions Architect - Professional (SAP-C02) certification is also recognized by AWS as a requirement for several advanced AWS partner programs.
NEW QUESTION # 716
A company is running multiple workloads in the AWS Cloud. The company has separate units for software development. The company uses AWS Organizations and federation with SAML to give permissions to developers to manage resources in their AWS accounts. The development units each deploy their production workloads into a common production account.
Recently, an incident occurred in the production account in which members of a development unit terminated an EC2 instance that belonged to a different development unit. A solutions architect must create a solution that prevents a similar incident from happening in the future. The solution also must allow developers the possibility to manage the instances used for their workloads.
Which strategy will meet these requirements?
Answer: A
Explanation:
Explanation: This option allows the solutions architect to use session tags to pass additional information about the federated user, such as the development unit name, to AWS1. Session tags are key-value pairs that you can define in your identity provider (IdP) and pass in your SAML assertion1. By using a deny action and a StringNotEquals condition in the IAM policy, you can prevent developers from accessing or modifying EC2 instances that belong to a different development unit2. This way, you can enforce fine-grained access control and prevent accidental or malicious incidents.
References:
Passing session tags in SAML assertions
Using tags for attribute-based access control
NEW QUESTION # 717
A company needs a highly available database solution for an application. The solution must be able to fail over to a secondary AWS Region with an RPO of 5 minutes and an RTO of 20 minutes. The database is approximately 10 TB in size.
Which solution will meet these requirements?
Answer: D
Explanation:
The requirements specify cross-Region failover with an RPO of 5 minutes and an RTO of 20 minutes for a large (10 TB) database. Achieving a low RPO in a secondary Region typically requires near-continuous replication, not periodic snapshots. Achieving a 20-minute RTO requires that the standby data store already exists in the secondary Region and can be promoted quickly.
A cross-Region read replica provides continuous asynchronous replication from the primary Region to a replica in the secondary Region. This is the standard managed approach for cross-Region disaster recovery for Amazon RDS engines that support read replicas. With a read replica already running in the secondary Region, failover can be accomplished by promoting the replica to a standalone primary database instance. This supports an RTO target like 20 minutes because the data is already present and the promotion operation is typically faster than restoring from a full snapshot, especially at 10 TB scale.
Option B describes creating an RDS Multi-AZ DB cluster in the primary Region and a cross-Region read replica in the secondary Region. Multi-AZ addresses high availability within the primary Region, while the cross-Region replica addresses disaster recovery. The option also includes automation using CloudWatch alarms and a Lambda function to promote the replica when a failure is detected. This supports the required RTO by reducing manual intervention time and supports the RPO by using continuous replication.
Option A is not practical for RPO 5 minutes at 10 TB. Taking and copying snapshots every 5 minutes would be operationally heavy and would not complete within the required window; snapshot creation and cross- Region copy are not designed for such high-frequency near-real-time DR. It also risks missing the RPO due to snapshot completion time.
Option C introduces unnecessary complexity and additional services. Creating a second cluster only at failure time is not compatible with a 20-minute RTO for a 10 TB database, and using DMS for continuous sync is more development and operational work than using native RDS replication. This is not the least overhead or most direct DR design.
Option D is incorrect as stated because cross-Region read replicas are not automatically failed over and promoted by an "automated failover" feature in the way Multi-AZ failover works within a Region. Automated backups do not provide near-real-time cross-Region recovery to meet a 5-minute RPO. The usual approach for cross-Region is to create the replica and then promote it through a controlled process, which can be automated via monitoring and Lambda as in option B.
Therefore, using a cross-Region read replica with automation to promote it provides the necessary RPO/RTO with a managed service approach.
References:AWS documentation on Amazon RDS cross-Region read replicas for disaster recovery and replica promotion procedures.AWS documentation on Multi-AZ deployments for high availability within a Region and combining Multi-AZ with cross-Region read replicas for DR.AWS best practices for meeting RPO/RTO using continuous replication rather than periodic snapshots for large databases.
NEW QUESTION # 718
A company runs a proprietary stateless ETL application on an Amazon EC2 Linux instance.
The application is a Linux binary, and the source code cannot be modified. The application is single-threaded, uses 2 GB of RAM. and is highly CPU intensive. The application is scheduled to run every 4 hours and runs for up to 20 minutes. A solutions architect wants to revise the architecture for the solution.
Which strategy should the solutions architect use?
Answer: A
Explanation:
Step function could run a scheduled task when triggered by eventbrige, but why would you add that layer of complexity just to run aws batch when you could directly invoke it through eventbridge.
https://aws.amazon.com/pt/blogs/compute/orchestrating-high-performance-computing-with-aws- step-functions-and-aws-batch/
NEW QUESTION # 719
A company uses an on-premises data analytics platform. The system is highly available in a fully redundant configuration across 12 servers in the company's data center.
The system runs scheduled jobs, both hourly and daily, in addition to one-time requests from users. Scheduled jobs can take between 20 minutes and 2 hours to finish running and have tight SLAs. The scheduled jobs account for 65% of the system usage. User jobs typically finish running in less than 5 minutes and have no SLA.
The user jobs account for 35% of system usage. During system failures, scheduled jobs must continue to meet SLAs. However, user jobs can be delayed.A solutions architect needs to move the system to Amazon EC2 instances and adopt a consumption-based model to reduce costs with no long-term commitments. The solution must maintain high availability and must not affect the SLAs.
Which solution will meet these requirements MOST cost-effectively?
Answer: D
Explanation:
By splitting the 12 instances across three Availability Zones, the system can maintain high availability and availability of resources in case of a failure. Option D also uses a combination of On-Demand Instances with Capacity Reservations and Spot Instances, which allows for scheduled jobs to be run on the On-Demand instances with guaranteed capacity, while also taking advantage of the cost savings from Spot Instances for the user jobs which have lower SLA requirements.
NEW QUESTION # 720
A company operates quick-service restaurants. The restaurants follow a predictable model with high sales traffic for 4 hours daily Sales traffic is lower outside of those peak hours.
The point of sale and management platform is deployed in the AWS Cloud and has a backend that is based on Amazon DynamoDB. The database table uses provisioned throughput mode with 100.000 RCUs and 80.000 WCUs to match known peak resource consumption.
The company wants to reduce its DynamoDB cost and minimize the operational overhead for the IT staff.
Which solution meets these requirements MOST cost-effectively?
Answer: C
Explanation:
Explanation
https://aws.amazon.com/blogs/database/amazon-dynamodb-auto-scaling-performance-and-cost-optimization-at-a
"As you can see, there are compelling reasons to use DynamoDB auto scaling with actively changing traffic.
Auto scaling responds quickly and simplifies capacity management, which lowers costs by scaling your table's provisioned capacity and reducing operational overhead."
NEW QUESTION # 721
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