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Quiz Amazon - SAP-C02 - High Hit-Rate Reliable AWS Certified Solutions Architect - Professional (SAP-C02) Test Answers

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Amazon SAP-C02 (AWS Certified Solutions Architect - Professional (SAP-C02)) Exam is an advanced level certification exam that is designed to test the knowledge and expertise of IT professionals in designing and deploying scalable, highly available, and fault-tolerant systems on Amazon Web Services (AWS) cloud platform. It is the second level certification exam for the AWS Solutions Architect certification program and is one of the most sought-after certifications in the cloud computing industry.

The SAP-C02 exam is intended for professionals with extensive experience in AWS, including designing and deploying complex systems, and managing large-scale infrastructure. SAP-C02 Exam covers a broad range of topics, including architectural design, deployment, and management of AWS services, as well as security, cost optimization, and performance optimization. Passing the SAP-C02 exam requires a deep understanding of AWS services and architecture, as well as the ability to apply that knowledge to real-world scenarios. Successful candidates are recognized as experts in AWS architecture and are highly valued by employers seeking skilled cloud professionals.

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The SAP-C02 exam covers a broad range of topics related to AWS architecture and services, including designing and deploying enterprise-wide scalable operations on AWS, selecting appropriate AWS services to meet specific application and business requirements, designing and deploying fault-tolerant and highly available systems on AWS, and migrating complex multi-tier applications to AWS. SAP-C02 Exam also covers advanced topics such as designing and implementing hybrid architectures that integrate on-premises infrastructure with AWS cloud services, designing and implementing security and compliance policies on AWS, and designing and implementing cost-optimized solutions on AWS.

Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q242-Q247):

NEW QUESTION # 242
A company runs a new application as a static website in Amazon S3. The company has deployed the application to a production AWS account and uses Amazon CloudFront to deliver the website. The website calls an Amazon API Gateway REST API. An AWS Lambda function backs each API method.
The company wants to create a CSV report every 2 weeks to show each API Lambda function's recommended configured memory, recommended cost, and the price difference between current configurations and the recommendations. The company will store the reports in an S3 bucket.
Which solution will meet these requirements with the LEAST development time?

A. Create a Lambda function that extracts metrics data for each API Lambda function from Amazon CloudWatch Logs for the 2-week penod_ Collate the data into tabular format. Store the data as a
_csvfile in an S3 bucket. Create an Amazon Eventaridge rule to schedule the Lambda function to run every 2 weeks.
B. Opt in to AWS Compute Optimizer. Create a Lambda function that calls the ExportLambdaFunctionRecommendatlons operation. Export the _csv file to an S3 bucket. Create an Amazon Eventaridge rule to schedule the Lambda function to run every 2 weeks.
C. Purchase the AWS Business Support plan for the production account. Opt in to AWS Compute Optimizer for AWS Trusted Advisor checks. In the Trusted Advisor console, schedule a job to export the cost optimization checks to a _csvfile_ Store the file in an S3 bucket every 2 weeks.
D. Opt in to AWS Compute Optimizer. Set up enhanced infrastructure metrics. Within the Compute Optimizer console, schedule a job to export the Lambda recommendations to a _csvfile_ Store the file in an S3 bucket every 2 weeks.

Answer: B

Explanation:
https://docs.aws.amazon.com/compute-optimizer/latest/APIReference/API_ExportLambdaFunctionRecommenda

NEW QUESTION # 243
A health insurance company stores personally identifiable information (PII) in an Amazon S3 bucket. The company uses server-side encryption with S3 managed encryption keys (SSE-S3) to encrypt the objects. According to a new requirement, all current and future objects in the S3 bucket must be encrypted by keys that the company's security team manages. The S3 bucket does not have versioning enabled.
Which solution will meet these requirements?

A. In the S3 bucket properties, change the default encryption to AES-256 with a customer managed key. Attach a policy to deny unencrypted PutObject requests to any entities that access the S3 bucket. Use the AWS CLI to re-upload all objects in the S3 bucket.
B. In the S3 bucket properties, change the default encryption to server-side encryption with AWS KMS managed encryption keys (SSE-KMS). Set an S3 bucket policy to deny unencrypted PutObject requests. Use the AWS CLI to re-upload all objects in the S3 bucket.
C. In the S3 bucket properties, change the default encryption to server-side encryption with AWS KMS managed encryption keys (SSE-KMS). Set an S3 bucket policy to automatically encrypt objects on GetObject and PutObject requests.
D. In the S3 bucket properties, change the default encryption to SSE-S3 with a customer managed key. Use the AWS CLI to re-upload all objects in the S3 bucket. Set an S3 bucket policy to deny unencrypted PutObject requests.

Answer: A

Explanation:
https://docs.aws.amazon.com/AmazonS3/latest/userguide/ServerSideEncryptionCustomerKeys.html Clearly says we need following header for SSE-C x-amz-server-side-encryption-customer-algorithm Use this header to specify the encryption algorithm. The header value must be AES256.

NEW QUESTION # 244
A company is developing a new serverless API by using Amazon API Gateway and AWS Lambda. The company integrated the Lambda functions with API Gateway to use several shared libraries and custom classes.
A solutions architect needs to simplify the deployment of the solution and optimize for code reuse.
Which solution will meet these requirements?

A. Deploy the shared libraries, custom classes, and code for the API's Lambda functions to a Docker image. Upload the image to Amazon Elastic Container Registry (Amazon ECR). Configure the API's Lambda functions to use the Docker image as the deployment package.
B. Deploy the shared libraries and custom classes to a Docker container in Amazon Elastic Container Service (Amazon ECS) by using the AWS Fargate launch type. Deploy the API's Lambda functions as Zip packages. Configure the packages to use the deployed container as a Lambda layer.
C. Deploy the shared libraries and custom classes to a Docker image. Upload the image to Amazon Elastic Container Registry (Amazon ECR). Create a Lambda layer that uses the Docker image as the source.
Deploy the API's Lambda functions as Zip packages. Configure the packages to use the Lambda layer.
D. Deploy the shared libraries and custom classes into a Docker image. Store the image in an S3 bucket.
Create a Lambda layer that uses the Docker image as the source. Deploy the API's Lambda functions as Zip packages. Configure the packages to use the Lambda layer.

Answer: C

Explanation:
Explanation
Deploying the shared libraries and custom classes to a Docker image and uploading the image to Amazon Elastic Container Registry (Amazon ECR) and creating a Lambda layer that uses the Docker image as the source. Then, deploying the API's Lambda functions as Zip packages and configuring the packages to use the Lambda layer would meet the requirements for simplifying the deployment and optimizing for code reuse.
A Lambda layer is a distribution mechanism for libraries, custom runtimes, and other function dependencies. It allows you to manage your in-development function code separately from your dependencies, this way you can easily update your dependencies without having to update your entire function code.
By deploying the shared libraries and custom classes to a Docker image and uploading the image to Amazon Elastic Container Registry (ECR), it makes it easy to manage and version the dependencies. This way, the company can use the same version of the dependencies across different Lambda functions.
By creating a Lambda layer that uses the Docker image as the source, the company can configure the API's Lambda functions to use the layer, reducing the need to include the dependencies in each function package, and making it easy to update the dependencies across all functions at once.
Reference:
AWS Lambda Layers documentation:
https://docs.aws.amazon.com/lambda/latest/dg/configuration-layers.html
AWS Elastic Container Registry (ECR) documentation: https://aws.amazon.com/ecr/ Building Lambda Layers with Docker documentation:
https://aws.amazon.com/blogs/compute/building-lambda-layers-with-docker/

NEW QUESTION # 245
A company migrated an application to the AWS Cloud. The application runs on two Amazon EC2 instances behind an Application Load Balancer (ALB). Application data is stored in a MySQL database that runs on an additional EC2 instance. The application's use of the database is read-heavy.
The loads static content from Amazon Elastic Block Store (Amazon EBS) volumes that are attached to each EC2 instance. The static content is updated frequently and must be copied to each EBS volume.
The load on the application changes throughout the day. During peak hours, the application cannot handle all the incoming requests. Trace data shows that the database cannot handle the read load during peak hours.
Which solution will improve the reliability of the application?

A. Containerize the application. Migrate the application to an Amazon Elastic Container Service (Amazon ECS) cluster. Use the AWS Fargate launch type for the tasks that host the application. Create an Amazon Elastic File System (Amazon EFS) file system for the static content. Mount the EFS file system to each container. Configure AWS Application Auto Scaling on the ECS cluster Set the ECS service as a target for the AL Migrate the database to Amazon Aurora MySQL Serverless v2 with a reader DB instance.
B. Containerize the application. Migrate the application to an Amazon Elastic Container Service (Amazon ECS) Cluster. Use the AWS Fargate launch type for the tasks that host the application. Create a new single EBS volume the static content. Mount the new EBS volume on the ECS duster. Configure AWS Application Auto Scaling on ECS cluster. Set the ECS service as a target for the AL Migrate the database to an Amazon RDS for MySOL Multi-AZ DB cluster.
C. Migrate the application to a set of AWS Step Functions state machines. Set the state machines as targets for the AL Create an Amazon Elastic File System (Amazon EFS) file system for the static content. Configure the state machines to read from the EFS file system. Migrate the database to Amazon Aurora MySQL Serverless v2 with a reader DB instance.
D. Migrate the application to a set of AWS Lambda functions. Set the Lambda functions as targets for the AL Create a new single EBS volume for the static content. Configure the Lambda functions to read from the new EBS volume. Migrate the database to an Amazon RDS for MySQL Multi-AZ DB cluster.

Answer: A

NEW QUESTION # 246
A company has an application that generates reports and stores them in an Amazon S3 bucket. When a user accesses their report, the application generates a signed URL to allow the user to download the report. The company's security team has discovered that the files are public and that anyone can download them without authentication. The company has suspended the generation of new reports until the problem is resolved.
Which set of actions will immediately remediate the security issue without impacting the application's normal workflow?

A. Create an AWS Lambda function that applies a deny all policy for users who are not authenticated. Create a scheduled event to invoke the Lambda function.
B. Review the AWS Trusted Advisor bucket permissions check and implement the recommended actions.
C. Use the Block Public Access feature in Amazon S3 to set the IgnorePublicAcls option to TRUE on the bucket.
D. Run a script that puts a private ACL on all of the objects in the bucket.

Answer: C

Explanation:
The S3 bucket is allowing public access and this must be immediately disabled. Setting the IgnorePublicAcls option to TRUE causes Amazon S3 to ignore all public ACLs on a bucket and any objects that it contains.
The other settings you can configure with the Block Public Access Feature are:
o BlockPublicAcls - PUT bucket ACL and PUT objects requests are blocked if granting public access.
o BlockPublicPolicy - Rejects requests to PUT a bucket policy if granting public access.
o RestrictPublicBuckets - Restricts access to principles in the bucket owners' AWS account.
https://aws.amazon.com/s3/features/block-public-access/

NEW QUESTION # 247
......

Official SAP-C02 Practice Test: https://www.practicetorrent.com/SAP-C02-practice-exam-torrent.html

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