A company hosts a website analytics application on a single Amazon EC2 On-Demand Instance. The analytics software is written in PHP and uses a MySQL database. The analytics software, the web server that provides PHP, and the database server are all hosted on the EC2 instance. The application is showing signs of performance degradation during busy times and is presenting 5xx errors. The company needs to make the application scale seamlessly.Which solution will meet these requirements MOST cost-effectively?
Answer(s): D
The correct answer is D. It uses Aurora MySQL for scalable, low-latency DB, an AMI-based web app with a Launch Template, and an Auto Scaling group with an Application Load Balancer to scale out during demand, meeting cost-efficiency with Spot Fleet optimization.A) Only adds ELB and separate instances; lacks launch template/Auto Scaling to scale automatically; still on EC2 single instance pattern.B) Route 53 weighted routing distributes traffic but does not auto-scale or manage instances; increases management overhead and cost.C) Lambda-based scaling is reactive and complex; changing instance type costs and cold starts; not cost-effective for web tier scaling.
A company runs a stateless web application in production on a group of Amazon EC2 On-Demand Instances behind an Application Load Balancer. The application experiences heavy usage during an 8-hour period each business day. Application usage is moderate and steady overnight. Application usage is low during weekends.The company wants to minimize its EC2 costs without affecting the availability of the application.Which solution will meet these requirements?
Answer(s): B
A concise, cost-optimized approach uses a stable baseline with cheaper spot capacity for extra demand.A) Spot Instances for the entire workload is risky due to potential interruptions, harming availability.B) Correct: Baseline steady usage covered by Reserved Instances (cost-efficiency over time), with Spot Instances for variable, extra capacity during peaks, preserving availability when Spot interruptions occur.C) On-Demand for baseline is more expensive than Reserved for predictable baseline ramp; spot for extras is good, but misses cost benefits of RI for steady usage.D) Dedicated Instances are pricelier and unnecessary for this scenario; not optimized for cost.
A company needs to retain application log 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?
Storing logs in S3 with lifecycle policy to move older-than-1-month data to S3 Glacier Deep Archive is most cost-effective for 10-year retention and infrequent access, while keeping recent logs readily available in S3.A) Incorrect: AWS Backup isn’t needed for S3 data lifecycle; Glacier Deep Archive via lifecycle should be configured directly on S3 objects, and AWS Backup adds complexity/cost.C) Incorrect: CloudWatch Logs is not cost-effective for long-term 10-year retention at scale; exporting to Glacier is better via S3 lifecycle, not via AWS Backup.D) Incorrect: Lifecycle on CloudWatch Logs isn’t applicable; CloudWatch Logs data must be exported to S3 first to leverage S3 lifecycle tiers.
A company has a data ingestion workflow that includes the following components:An Amazon Simple Notification Service (Amazon SNS) topic that receives notifications about new data deliveriesAn AWS Lambda function that processes and stores the dataThe ingestion workflow occasionally fails because of network connectivity issues. When failure occurs, the corresponding data is not ingested unless the company manually reruns the job.What should a solutions architect do to ensure that all notifications are eventually processed?
A) The correct choice is D.D) Using an SQS queue as the on-failure destination and configuring Lambda to process messages from the queue ensures eventual processing and decouples retries from the live flow. Messages that fail Lambda processing are durably stored in SQS and retried, even during transient network issues, eliminating manual reruns.A) Deploying Lambda across AZs does not affect processing guarantees or failure handling for transient network outages.B) Increasing CPU/memory does not address failure handling, retries, or message durability; it may improve performance but not guarantee eventual processing.C) SNS retry strategy applies to message delivery to endpoints but does not guarantee retries of Lambda processing failures or provide durable queuing for failed invocations.
A company has a service that produces event data. The company wants to use AWS to process the event data as it is received. The data is written in a specific order that must be maintained throughout processing. The company wants to implement a solution that minimizes operational overhead.How should a solutions architect accomplish this?
Answer(s): A
The correct answer is A because a FIFO SQS queue preserves message order and exactly-once processing with Lambda as a consumer minimizes operational overhead, meeting ordered processing requirements with serverless integration.B is incorrect because SNS with Lambda as a subscriber delivers messages but does not guarantee in-order processing; not suitable for maintaining strict event order.C is incorrect because a standard SQS queue does not guarantee message order, risking out-of-order processing, which violates the requirement.D is incorrect because using SNS to publish and then enqueue to SQS still relies on a separate publish-subscribe flow and does not inherently guarantee in-order processing within a single consumer, increasing complexity.
A company is migrating an application from on-premises servers to Amazon EC2 instances. As part of the migration design requirements, a solutions architect must implement infrastructure metric alarms. The company does not need to take action if CPU utilization increases to more than 50% for a short burst of time. However, if the CPU utilization increases to more than 50% and read IOPS on the disk are high at the same time, the company needs to act as soon as possible. The solutions architect also must reduce false alarms.What should the solutions architect do to meet these requirements?
The correct answer is A.A) Composite alarms combine multiple alarms and only trigger when all constituent alarms are in the ALARM state, which suits the requirement to act only when CPU >50% and read IOPS are high simultaneously, reducing false positives.B) Dashboards visualize metrics but do not raise alarms or automate actions, so they don’t meet the “act as soon as possible” requirement.C) Synthetics canaries test availability, not real-time infrastructure metrics or multi-mmetric correlation for alarms.D) Single alarms with multiple thresholds aren’t supported; composite alarms are the appropriate mechanism for correlated conditions.
A company wants to migrate its on-premises data center to AWS. According to the company's compliance requirements, the company can use only the ap-northeast-3 Region. Company administrators are not permitted to connect VPCs to the internet.Which solutions will meet these requirements? (Choose two.)
Answer(s): A,C
A) Correct: AWS Control Tower can implement data residency guardrails, including restricting regions and enforcing internet access policies, aligning with ap-northeast-3-only and no internet exposure for administrators.C) Correct: AWS Organizations with Service Control Policies (SCPs) can block internet egress and constrain region usage to ap-northeast-3, applying at the organization/account level.B) Incorrect: WAF governs web traffic for resources like CloudFront or ALB, not outbound regional access controls or VPC-level egress; SCPs are the proper mechanism for broad account-level restrictions.D) Incorrect: Network ACLs are per-subnet, not global policy enforcement; IAM policies cannot centrally enforce region restrictions at the VPC/telemetry level.E) Incorrect: Config rules detect configurations but do not prevent actions; protection requires preventive controls (SCPs/guardrails) rather than solely detection.
A company uses a three-tier web application to provide training to new employees. The application is accessed for only 12 hours every day. The company is using an Amazon RDS for MySQL DB instance to store information and wants to minimize costs.What should a solutions architect do to meet these requirements?
Starting and stopping the RDS instance on a schedule with Lambda and EventBridge minimizes compute and storage costs during idle periods without maintaining always-on infrastructure.A) Incorrect: Session Manager IAM config and automatic RDS start/stop is not a standard, cost-effective method for automating RDS lifecycle; Session Manager is for EC2/session access, not scheduling RDS power states.B) Incorrect: ElastiCache adds cost and complexity; it’s not a required substitute for a stopped RDS, and cache invalidation on restart can risk stale data and downtime.C) Incorrect: Running an EC2 instance to proxy or access the DB adds unnecessary cost and management overhead versus native RDS stop/start automation.D) Correct: Lambda + EventBridge provides serverless, low-cost, event-driven lifecycle control for RDS with scheduled start/stop.
Share your comments for Amazon SAA-C02 exam with other users:
i gave the microsoft azure az-500 tests and prepared from this site as it has latest mock tests available which helped me evaluate my performance and score 919/1000
i cannot see the button to go to the questions
good questions
q-6 ans-b correct. https://docs.paloaltonetworks.com/pan-os/9-1/pan-os-cli-quick-start/use-the-cli/commit-configuration-changes
very nice very nice
please help us with 1z0-1107-2 dumps
please upload the practice questions
need this dumps
preparing for this exam is overwhelming. you cannot pass without the help of these exam dumps.
new to this site but i feel it is good
the correct answer to q8 is b. explanation since the mule app has a dependency, it is necessary to include project modules and dependencies to make sure the app will run successfully on the runtime on any other machine. source code of the component that the mule app is dependent of does not need to be included in the exported jar file, because the source code is not being used while executing an app. compiled code is being used instead.
Delayed the exam until December 29th.
A and D are True
good one with explanation
This is one of the most useful study guides I have ever used.