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Amazon SAP-C02 Exam Overview:
| Certification Vendor: | Amazon Web Services (AWS) |
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| Exam Name: | AWS Certified Solutions Architect - Professional |
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| Exam Number: | SAP-C02 |
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| Exam Price: | $300 USD |
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| Passing Score: | 720/1000 |
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| Exam Format: | Multiple response, Multiple choice |
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| Related Certifications: | AWS Certified Solutions Architect - Associate (SAA-C03) AWS Certified Developer - Associate AWS Certified SysOps Administrator - Associate |
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| Certificate Validity Period: | 3 years |
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| Exam Duration: | 180 minutes |
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| Available Languages: | Korean, Portuguese (Brazil), English, Japanese, Simplified Chinese |
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| Real Exam Qty: | 75 |
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| Sample Questions: | Amazon SAP-C02 Sample Questions |
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| Exam Way: | Proctored exam at Pearson VUE testing centers or online proctored (where available) |
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| Pre Condition: | Recommended: AWS Certified Solutions Architect – Associate or equivalent experience. Minimum 2 years of hands-on experience designing and deploying scalable, highly available, and fault-tolerant systems on AWS. |
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| Official Syllabus URL: | https://aws.amazon.com/certification/certified-solutions-architect-professional/ |
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Amazon SAP-C02 certification exam is a highly sought-after credential for professionals who specialize in cloud computing and solutions architecture. AWS Certified Solutions Architect - Professional (SAP-C02) certification is designed to validate an individual's expertise in designing and deploying scalable, highly available, and fault-tolerant systems on the Amazon Web Services (AWS) platform. SAP-C02 Exam is designed to test the candidate's knowledge and skills in various domains, such as designing and deploying scalable and highly available systems, migration of complex multi-tier applications, implementation of AWS services, and more.
Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q812-Q817):
NEW QUESTION # 812
A company runs its application on Amazon EC2 instances and AWS Lambda functions. The EC2 instances experience a continuous and stable load. The Lambda functions experience a varied and unpredictable load. The application includes a caching layer that uses an Amazon MemoryDB for Redis cluster.
A solutions architect must recommend a solution to minimize the company's overall monthly costs.
Which solution will meet these requirements?
- A. Purchase a Compute Savings Plan to cover the entire expected cost of the EC2 instances, Lambda functions, and MemoryDB cache nodes.
- B. Purchase a Compute Savings Plan to cover the EC2 instances. Purchase Lambda reserved concurrency to cover the expected Lambda usage. Purchase reserved nodes to cover the MemoryDB cache nodes.
- C. Purchase a Compute Savings Plan to cover the EC2 instances and the MemoryDB cache nodes.
Purchase Lambda reserved concurrency to cover the expected Lambda usage. - D. Purchase an EC2 Instance Savings Plan to cover the EC2 instances. Purchase a Compute Savings Plan for Lambda to cover the minimum expected consumption of the Lambda functions. Purchase reserved nodes to cover the MemoryDB cache nodes.
Answer: D
Explanation:
Explanation
This option uses different types of savings plans and reserved nodes to minimize the company's overall monthly costs for running its application on EC2 instances, Lambda functions, and MemoryDB cache nodes.
Savings plans are flexible pricing models that offer significant savings on AWS usage (up to 72%) in exchange for a commitment of a consistent amount of usage (measured in $/hour) for a one-year or three-year term. There are two types of savings plans: Compute Savings Plans and EC2 Instance Savings Plans. Compute Savings Plans apply to any compute usage across EC2 instances, Fargate containers, Lambda functions, SageMaker notebooks, and ECS tasks. EC2 Instance Savings Plans apply to a specific instance family within a region and provide more savings than Compute Savings Plans (up to 66% versus up to 54%). Reserved nodes are similar to savings plans but apply only to MemoryDB cache nodes. They offer up to 55% savings compared to on-demand pricing.
NEW QUESTION # 813
A company is running an event ticketing platform on AWS and wants to optimize the platform's cost-effectiveness. The platform is deployed on Amazon Elastic Kubernetes Service (Amazon EKS) with Amazon EC2 and is backed by an Amazon RDS for MySQL DB instance. The company is developing new application features to run on Amazon EKS with AWS Fargate.
The platform experiences infrequent high peaks in demand. The surges in demand depend on event dates.
Which solution will provide the MOST cost-effective setup for the platform?
- A. Purchase Compute Savings Plans for the predicted base load of the EKS cluster. Scale the cluster with Spot Instances to handle peaks. Purchase 1-year All Upfront Reserved Instances for the database to meet the predicted base load. Temporarily scale up the DB instance manually during peaks.
- B. Purchase EC2 Instance Savings Plans for the predicted base load of the EKS cluster. Scale the cluster with Spot Instances to handle peaks. Purchase 1-year All Upfront Reserved Instances for the database to meet the predicted base load. Temporarily scale up the DB instance manually during peaks.
- C. Purchase Standard Reserved Instances for the EC2 instances that the EKS cluster uses in its baseline load. Scale the cluster with Spot Instances to handle peaks. Purchase 1-year All Upfront Reserved Instances for the database to meet predicted peak load for the year.
- D. Purchase Compute Savings Plans for the predicted medium load of the EKS cluster. Scale the cluster with On-Demand Capacity Reservations based on event dates for peaks. Purchase 1-year No Upfront Reserved Instances for the database to meet the predicted base load. Temporarily scale out database read replicas during peaks.
Answer: C
Explanation:
This solution provides the most cost-effective setup for the platform. The company can purchase Standard Reserved Instances for the EC2 instances that the EKS cluster uses in its baseline load, which will provide a significant discount compared to On-demand instances. Also, the company can use Spot instances to handle the peaks in demand, which are significantly cheaper than On-demand instances. For the database, the company can purchase 1-year All Upfront Reserved Instances, which will provide the maximum discount, and will be able to handle the predicted peak load for the year.
By using a combination of Reserved Instances, Spot Instances, and On-demand instances, the company can optimize the cost-effectiveness of the platform.
Reference:
AWS Elastic Kubernetes Service (EKS) documentation: https://aws.amazon.com/eks/ Amazon Elastic Container Service for Kubernetes (EKS) documentation: https://aws.amazon.com/ecs/kubernetes/ Amazon Elastic Kubernetes Service pricing documentation: https://aws.amazon.com/eks/pricing/ Amazon RDS pricing documentation: https://aws.amazon.com/rds/pricing/ Amazon EC2 pricing documentation: https://aws.amazon.com/ec2/pricing/ Amazon EC2 Spot Instances documentation: https://aws.amazon.com/ec2/spot/ Amazon EC2 On-Demand Capacity Reservations documentation: https://aws.amazon.com/ec2/on-demand-capacity
NEW QUESTION # 814
A company is building an image service on the web that will allow users to upload and search random photos. At peak usage, up to 10.000 users worldwide will upload their images. The service will then overlay text on the uploaded images, which will then be published on the company website.
Which design should a solutions architect implement?
- A. Store the uploaded images in Amazon Elastic File System (Amazon EFS). Send application log information about each image to Amazon CloudWatch Logs. Create a fleet of Amazon EC2 instances that use CloudWatch Logs to determine which images need to be processed. Place processed images in anolher directory in Amazon EFS. Enable Amazon CloudFront and configure the origin to be the one of the EC2 instances in the fleet.
- B. Store the uploaded images on a shared Amazon Elastic Block Store (Amazon EBS) volume mounted to a fleet of Amazon EC2 Spot instances. Create an Amazon DynamoDB table that contains information about each uploaded image and whether it has been processed. Use an Amazon EventBridge (Amazon CloudWatch Events) rule lo scale out EC2 instances. Enable Amazon CloudFront and configure the origin to reference an Elastic Load Balancer in front of the fleet of EC2 instances.
- C. Store the uploaded images in an Amazon S3 bucket and configure an S3 bucket event notification to send a message to the Amazon Simple Queue Service (Amazon SOS) queue. Create a fleet of Amazon EC2 instances to pull messages from Ihe SOS queue to process the images and place them in another S3 bucket. Use Amazon CloudWatch metrics for queue depth to scale out EC2 instances. Enable Amazon CloudFront and configure the origin to be the S3 bucket that contains the processed images.
- D. Store the uploaded images in an Amazon S3 bucket and configure an S3 bucket event notification to send a message to Amazon Simple Notification Service (Amazon SNS). Create a fleet of Amazon EC2 instances behind an Application Load Balancer (ALB) to pull messages from Amazon SNS to process the images and place them in Amazon Elastic File System (Amazon EFS). Use Amazon CloudWatch metrics for the SNS message volume to scale out EC2 instances. Enable Amazon CloudFront and configure the origin lo be the ALB in front of the EC2 instances.
Answer: C
NEW QUESTION # 815
A media storage application uploads user photos to Amazon S3 for processing by AWS Lambda functions.
Application state is stored in Amazon DynamoOB tables. Users are reporting that some uploaded photos are not being processed properly. The application developers trace the logs and find that Lambda is experiencing photo processing issues when thousands of users upload photos simultaneously. The issues are the result of Lambda concurrency limits and the performance of DynamoDB when data is saved.
Which combination of actions should a solutions architect take to increase the performance and reliability of the application? (Select TWO.)
- A. Evaluate and adjust the RCUs for the DynamoDB tables.
- B. Use S3 Transfer Acceleration to provide lower latency to users.
- C. Evaluate and adjust the WCUs for the DynamoDB tables.
- D. Add an Amazon ElastiCache layer to increase the performance of Lambda functions.
- E. Add an Amazon Simple Queue Service (Amazon SQS) queue and reprocessing logic between Amazon S3 and the Lambda functions.
Answer: C,E
Explanation:
B:
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/HowItWorks.ReadWriteCapacityMode.ht D: https://aws.amazon.com/blogs/compute/robust-serverless-application-design-with-aws-lambda-dlq/c
NEW QUESTION # 816
An online magazine will launch its latest edition this month. This edition will be the first to be distributed globally. The magazine's dynamic website currently uses an Application Load Balancer in front of the web tier, a fleet of Amazon EC2 instances for web and application servers, and Amazon Aurora MySQL. Portions of the website include static content and almost all traffic is read-only.
The magazine is expecting a significant spike in internet traffic when the new edition is launched. Optimal performance is a top priority for the week following the launch.
Which combination of steps should a solutions architect take to reduce system response times for a global audience? (Choose two.)
- A. Use an Aurora global database for physical cross-Region replication. Use Amazon S3 with cross- Region replication for static content and resources. Deploy the web and application tiers in Regions across the world.
- B. Ensure the web and application tiers are each in Auto Scaling groups. Introduce an AWS Direct Connect connection. Deploy the web and application tiers in Regions across the world.
- C. Introduce Amazon Route 53 with latency-based routing and Amazon CloudFront distributions. Ensure the web and application tiers are each in Auto Scaling groups.
- D. Use logical cross-Region replication to replicate the Aurora MySQL database to a secondary Region.
Replace the web servers with Amazon S3. Deploy S3 buckets in cross-Region replication mode. - E. Migrate the database from Amazon Aurora to Amazon RDS for MySQL. Ensure all three of the application tiers are web, application, and databases are in private subnets.
Answer: A,C
NEW QUESTION # 817
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