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Amazon SAP-C02 Exam Dumps in PDF Format

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Amazon SAP-C02 (AWS Certified Solutions Architect - Professional) Certification Exam is a highly sought-after certification for professionals who are interested in enhancing their skills and knowledge in the field of cloud computing. AWS Certified Solutions Architect - Professional (SAP-C02) certification is designed to validate the skills and expertise of professionals in designing, deploying, and managing scalable, highly available, and fault-tolerant systems on Amazon Web Services (AWS).

The SAP-C02 certification is highly valued in the IT industry and can lead to many career opportunities. With this certification, you can demonstrate your expertise in AWS solutions architecture, which is a critical skill for many organizations that use AWS cloud services. AWS Certified Solutions Architect - Professional (SAP-C02) certification also shows that you are committed to continuing your education and staying up-to-date with the latest AWS technologies and best practices.

Amazon SAP-C02 (AWS Certified Solutions Architect - Professional (SAP-C02)) Exam is a highly respected certification that demonstrates an individual's expertise in designing and deploying scalable, highly available, and fault-tolerant systems on the AWS platform. SAP-C02 exam covers a wide range of topics related to AWS architecture and requires extensive preparation and study. However, achieving this certification can open up a wide range of career opportunities and help professionals stand out in a highly competitive job market.

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q545-Q550):

NEW QUESTION # 545
A solutions architect must create a business case for migration of a company's on-premises data center to the AWS Cloud. The solutions architect will use a configuration management database (CMDB) export of all the company's servers to create the case.
Which solution will meet these requirements MOST cost-effectively?

  • A. Use AWS Application Discovery Service to import the CMDB data to perform an analysis.
  • B. Use AWS Well-Architected Tool to import the CMDB data to perform an analysis and generate recommendations.
  • C. Use Migration Evaluator to perform an analysis. Use the data import template to upload the data from the CMDB export.
  • D. Implement resource matching rules. Use the CMDB export and the AWS Price List Bulk API to query CMDB data against AWS services in bulk.

Answer: C

Explanation:
https://aws.amazon.com/blogs/architecture/accelerating-your-migration-to-aws/ Build a business case with AWS Migration Evaluator The foundation for a successful migration starts with a defined business objective (for example, growth or new offerings). In order to enable the business drivers, the established business case must then be aligned to a technical capability (increased security and elasticity). AWS Migration Evaluator (formerly known as TSO Logic) can help you meet these objectives. To get started, you can choose to upload exports from third-party tools such as Configuration Management Database (CMDB) or install a collector agent to monitor. You will receive an assessment after data collection, which includes a projected cost estimate and savings of running your on-premises workloads in the AWS Cloud. This estimate will provide a summary of the projected costs to re-host on AWS based on usage patterns. It will show the breakdown of costs by infrastructure and software licenses. With this information, you can make the business case and plan next steps.


NEW QUESTION # 546
A data analytics company has an Amazon Redshift cluster that consists of several reserved nodes. The cluster is experiencing unexpected bursts of usage because a team of employees is compiling a deep audit analysis report. The queries to generate the report are complex read queries and are CPU intensive. Business requirements dictate that the cluster must be able to service read and write queries at all times. A solutions architect must devise a solution that accommodates the bursts of usage.
Which solution meets these requirements MOST cost-effectively?

  • A. Turn on the Concurrency Scaling feature for the Amazon Redshift duster
  • B. Deploy an AWS Lambda function to add capacity to the Amazon Redshift duster by using an elastic resize operation when the duster's CPU metrics in Amazon CloudWatch leach 80%.
  • C. Deploy an AWS Lambda function to add capacity to the Amazon Redshift cluster by using a classic resize operation when the duster's CPU metrics in Amazon CloudWatch reach 80%.
  • D. Provision an Amazon EMR duster Offload the complex data processing tasks

Answer: A

Explanation:
Support virtually unlimited concurrent users and concurrent queries, with consistently fast query performance.
When you turn on concurrency scaling, Amazon Redshift automatically adds additional cluster capacity to process an increase in both read and write queries.
Users see the most current data, whether the queries run on the main cluster or a concurrency- scaling cluster. You're charged for concurrency-scaling clusters only for the time they're actively running queries.
https://docs.aws.amazon.com/redshift/latest/dg/concurrency-scaling.html


NEW QUESTION # 547
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 ALB. 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 ALB. 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 ALB. 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 ALB. 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

Explanation:
This solution will improve the reliability of the application by addressing the issues of scalability, availability, and performance. Containerizing the application will make it easier to deploy and manage on AWS.
Migrating the application to an Amazon ECS cluster will allow the application to run on a fully managed container orchestration service. Using the AWS Fargate launch type for the tasks that host the application will enable the application to run on serverless compute engines that are automatically provisioned and scaled by AWS. Creating an Amazon EFS file system for the static content will provide a scalable and shared storage solution that can be accessed by multiple containers. Mounting the EFS file system to each container will eliminate the need to copy the static content to each EBS volume and ensure that the content is always up to date. Configuring AWS Application Auto Scaling on the ECS cluster will enable the application to scale up and down based on demand or a predefined schedule. Setting the ECS service as a target for the ALB will distribute the incoming requests across multiple tasks in the ECS cluster and improve the availability and fault tolerance of the application. Migrating the database to Amazon Aurora MySQL Serverless v2 with a reader DB instance will provide a fully managed, compatible, and scalable relational database service that can handle high throughput and concurrent connections. Using a reader DB instance will offload some of the read load from the primary DB instance and improve the performance of the database.


NEW QUESTION # 548
A company is creating a sequel for a popular online game. A large number of users from all over the world will play the game within the first week after launch. Currently, the game consists of the following components deployed in a single AWS Region:
* Amazon S3 bucket that stores game assets
* Amazon DynamoDB table that stores player scores
A solutions architect needs to design a multi-Region solution that will reduce latency improve reliability, and require the least effort to implement What should the solutions architect do to meet these requirements?

  • A. Create an Amazon CloudFront distribution to serve assets from the S3 bucket. Configure S3 Same-Region Replication. Create a new DynamoDB able m a new Region. Configure asynchronous replication between the DynamoDB tables by using AWS Database Migration Service (AWS DMS) with change data capture (CDC)
  • B. Create an Amazon CloudFront distribution to serve assets from the S3 bucket Configure S3 Cross-Region Replication Create a new DynamoDB able in a new Region Use the new table as a replica target tor DynamoDB global tables.
  • C. Create another S3 bucket in the same Region, and configure S3 Same-Region Replication between the buckets- Create an Amazon CloudFront distribution and configure origin failover with two origin accessing the S3 buckets Create a new DynamoDB table m a new Region Use the new table as a replica target for DynamoDB global tables.
  • D. Create another S3 bucket in a new Region and configure S3 Cross-Region Replication between the buckets Create an Amazon CloudFront distribution and configure origin failover with two origins accessing the S3 buckets in each Region. Configure DynamoDB global tables by enabling Amazon DynamoDB Streams, and add a replica table in a new Region.

Answer: D

Explanation:
https://aws.amazon.com/premiumsupport/knowledge-center/dynamodb-global-table-stream-lambda/?nc1=h_ls


NEW QUESTION # 549
A company is using AWS Organizations to manage multiple AWS accounts. For security purposes, the company requires the creation of an Amazon Simple Notification Service (Amazon SNS) topic that enables integration with a third-party alerting system in all the Organizations member accounts.
A solutions architect used an AWS CloudFormation template to create the SNS topic and stack sets to automate the deployment of Cloud Formation stacks. Trusted access has been enabled in Organizations.
What should the solutions architect do to deploy the CloudFormation StackSets in all AWS accounts?

  • A. Create stacks in the Organizations member accounts. Use self-service permissions. Set deployment options to deploy to an organization. Enable the CloudFormation StackSets automatic deployment.
  • B. Create stacks in the Organizations management account. Use service-managed permissions. Set deployment options to deploy to the organization. Enable CloudFormation StackSets drift detection.
  • C. Create a stack set in the Organizations member accounts. Use service-managed permissions. Set deployment options to deploy to an organization. Use CloudFormation StackSets drift detection.
  • D. Create a stack set in the Organizations management account. Use service-managed permissions. Set deployment options to deploy to the organization. Enable CloudFormation StackSets automatic deployment.

Answer: D

Explanation:
Explanation
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/stacksets-orgs-manage-auto-deployment.h


NEW QUESTION # 550
......

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