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Amazon SAP-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Design for new solutions	29%
Accelerate workload migration and modernization	20%
Continuous improvement for existing solutions	25%
Design solutions for organizational complexity	26%

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q376-Q381):

NEW QUESTION # 376
A weather service provides high-resolution weather maps from a web application hosted on AWS in the eu-west-1 Region. The weather maps are updated frequently and stored in Amazon S3 along with static HTML content. The web application is fronted by Amazon CloudFront.
The company recently expanded to serve users in the us-east-1 Region, and these new users report that viewing their respective weather maps is slow from time to time.
Which combination of steps will resolve the us-east-1 performance issues? (Choose two.)

A. Use Lambda@Edge to modify requests from North America to use the S3 bucket in us-east-1.
B. Create a new S3 bucket in us-east-1. Configure S3 cross-Region replication to synchronize from the S3 bucket in eu-west-1.
C. Configure the AWS Global Accelerator endpoint for the S3 bucket in eu-west-1. Configure endpoint groups for TCP ports 80 and 443 in us-east-1.
D. Use Lambda@Edge to modify requests from North America to use the S3 Transfer Acceleration endpoint in us-east-1.
E. Configure the AWS Global Accelerator endpoint for us-east-1 as an origin on the CloudFront distribution. Use Lambda@Edge to modify requests from North America to use the new origin.

Answer: A,B

Explanation:
https://aws.amazon.com/about-aws/whats-new/2016/04/transfer-files-into-amazon-s3-up-to-300-percent-faster/

NEW QUESTION # 377
A company built an ecommerce website on AWS using a three-tier web architecture. The application is Java-based and composed of an Amazon CloudFront distribution, an Apache web server layer of Amazon EC2 instances in an Auto Scaling group, and a backend Amazon Aurora MySQL database.
Last month, during a promotional sales event, users reported errors and timeouts while adding items to their shopping carts. The operations team recovered the logs created by the web servers and reviewed Aurora DB cluster performance metrics. Some of the web servers were terminated before logs could be collected and the Aurora metrics were not sufficient for query performance analysis.
Which combination of steps must the solutions architect take to improve application performance visibility during peak traffic events? (Select THREE.)

A. Configure the Aurora MySQL DB cluster to stream slow query and error logs to Amazon Kinesis.
B. Enable and configure AWS CloudTrail to collect and analyze application activity from Amazon EC2 and Aurora.
C. Implement the AWS X-Ray SDK to trace incoming HTTP requests on the EC2 instances and implement tracing of SQL queries with the X-Ray SDK for Java.
D. Install and configure an Amazon CloudWatch Logs agent on the EC2 instances to send the Apache logs to CloudWatch Logs.
E. Enable Aurora MySQL DB cluster performance benchmarking and publish the stream to AWS X-Ray.
F. Configure the Aurora MySQL DB cluster to publish slow query and error logs to Amazon CloudWatch Logs.

Answer: C,D,F

NEW QUESTION # 378
A company consists of two separate business units. Each business unit has its own AWS account within a single organization in AWS Organizations. The business units regularly share sensitive documents with each other. To facilitate sharing, the company created an Amazon S3 bucket in each account and configured two-way replication between the S3 buckets. The S3 buckets have millions of objects.
Recently, a security audit identified that neither S3 bucket has encryption at rest enabled. Company policy requires that all documents must be stored with encryption at rest. The company wants to implement server-side encryption with Amazon S3 managed encryption keys (SSE-S3).
What is the MOST operationally efficient solution that meets these requirements?

A. Create an AWS Key Management Service (AWS KMS) key in each account. Turn on server-side encryption with AWS KMS keys (SSE-KMS) on each S3 bucket by using the corresponding KMS key in that AWS account. Encrypt the existing objects by using an S3 copy command in the AWS CLI.
B. Turn on SSE-S3 on both S3 buckets. Encrypt the existing objects by using an S3 copy command in the AWS CLI.
C. Create an AWS Key Management Service (AWS KMS) key in each account. Turn on server-side encryption with AWS KMS keys (SSE-KMS) on each S3 bucket by using the corresponding KMS key in that AWS account. Use S3 Batch Operations to copy the objects into the same location.
D. Turn on SSE-S3 on both S3 buckets. Use S3 Batch Operations to copy and encrypt the objects in the same location.

Answer: D

Explanation:
Explanation
"The S3 buckets have millions of objects" If there are million of objects then you should use Batch operations.
https://aws.amazon.com/blogs/storage/encrypting-objects-with-amazon-s3-batch-operations/

NEW QUESTION # 379
A software as a service (SaaS) company uses AWS to host a service that is powered by AWS PrivateLink.
The service consists of proprietary software that runs on three Amazon EC2 instances behind a Network Load Balancer (NL B). The instances are in private subnets in multiple Availability Zones in the eu-west-2 Region.
All the company's customers are in eu-west-2.
However, the company now acquires a new customer in the us-east-I Region. The company creates a new VPC and new subnets in us-east-I. The company establishes inter-Region VPC peering between the VPCs in the two Regions.
The company wants to give the new customer access to the SaaS service, but the company does not want to immediately deploy new EC2 resources in us-east-I Which solution will meet these requirements?

A. Use AWS Resource Access Manager (AWS RAM) to share the EC2 instances that are in eu-west-2. In us-east-I , create an NLB and an instance target group that includes the shared EC2 instances from eu- west-2. Configure a PrivateLink endpoint service that uses the NL B that is in us-east-I. Grant specific AWS accounts access to connect to the SaaS service.
B. Create an Application Load Balancer (ALB) in front of the EC2 instances in eu-west-2. Create an NLB in us-east-I . Associate the NLB that is in us-east-I with an ALB target group that uses the ALB that is in eu-west-2. Configure a PrivateLink endpoint service that uses the NLB that is in us-east-I . Grant specific AWS accounts access to connect to the SaaS service.
C. Create an NL B in us-east-I . Create an IP target group that uses the IP addresses of the company's instances in eu-west-2 that host the SaaS service. Configure a PrivateLink endpoint service that uses the NLB that is in us-east-I . Grant specific AWS accounts access to connect to the SaaS service.
D. Configure a PrivateLink endpoint service in us-east-I to use the existing NL B that is in eu-west-2.
Grant specific AWS accounts access to connect to the SaaS service.

Answer: C

NEW QUESTION # 380
A company is planning to migrate workloads from its on-premises data center to Amazon EC2 instances. The workloads run on physical servers and VMware virtual servers. The company has gathered details about each on-premises server and virtual server, including server specification, CPU utilization, and memory utilization. The company has stored these details in a .csv file named onprem.csv.
Before the migration, the company must estimate the cost of running the servers on AWS and must determine recommended EC2 instance types for the servers. The company must export this information to a different .csv file.
Which solution will meet these requirements?

A. Upload the onprem.csv file to an Amazon S3 bucket. Configure Migration Evaluator to import the data from the S3 bucket. Generate and confirm recommendations by using Migration Evaluator Quick Insights. Export the final recommendations to a new .csv file in the S3 bucket.
B. Import the onprem.csv file into AWS Migration Hub by using AWS Migration Hub import. Use EC2 instance recommendations from Migration Hub to generate recommendations. Export the recommendations to a new .csv file.
C. Configure AWS Compute Optimizer to generate recommendations from an external source. Import the onprem.csv file. Export the Compute Optimizer recommendations to a new .csv file.
D. Deploy AWS Application Discovery Service Agentless Collector on premises. Use Agentless Collector to import the onprem.csv file. Send the file to AWS Migration Hub. Use EC2 instance recommendations from Migration Hub to generate recommendations. Export the recommendations to a new .csv file.

Answer: A

NEW QUESTION # 381
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