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The AWS-Solutions-Architect-Professional (AWS Certified Solutions Architect - Professional) Certification Exam is a highly valued certification that indicates a deep understanding of AWS infrastructure and applications. AWS Certified Solutions Architect - Professional certification is designed for professionals who have significant experience in designing and deploying AWS-based applications and is recognized as a benchmark for AWS expertise. Passing this certification exam is a key step in advancing one's career in cloud computing and AWS.
The AWS Certified Solutions Architect - Professional certification is a highly respected and sought-after certification that validates an individual's advanced expertise in AWS architecture and design. It is an essential certification for individuals who wish to demonstrate their expertise in designing and deploying scalable, highly available, and fault-tolerant systems on the AWS platform.
NEW QUESTION # 80
What combination of steps could a Solutions Architect take to protect a web workload running on Amazon EC2 from DDoS and application layer attacks? (Select two.)
- A. Create and use an internet gateway in the VPC and use AWS Shield.
- B. Put the EC2 instances in an Auto Scaling group and configure AWS WAF on it.
- C. Create and use an Amazon CloudFront distribution and configure AWS WAF on it.
- D. Migrate the DNS to Amazon Route 53 and use AWS Shield
- E. Put the EC2 instances behind a Network Load Balancer and configure AWS WAF on it.
Answer: A,C
NEW QUESTION # 81
An ecommerce company has an order processing application it wants to migrate to AWS The application has inconsistent data volume patterns, but needs to be avail at all times. Orders must be processed as they occur and in the order that they are received.
Which set of steps should a solutions architect take to meet these requirements?
- A. Use AWS Transfer for SFTP and upload orders as they occur. Use On-Demand Instances in multiple Availability Zones for processing
- B. Use Amazon SQS with FIFO and send orders as they occur. Use Spot Instances in multiple Availability Zones for processing.
- C. Use Amazon SNS with FIFO and send orders as they occur. Use a single large Reserved Instance for processing.
- D. Use Amazon SQS with FIFO and send orders as they occur. Use Reserved Instances in multiple Availability Zones for processing
Answer: D
NEW QUESTION # 82
A company runs its sales reporting application in an AWS Region in the United States. The application uses an Amazon API Gateway Regional API and AWS Lambda functions to generate on-demand reports from data in an Amazon RDS for MySQL database. The frontend of the application is hosted on Amazon S3 and is accessed by users through an Amazon CloudFront distribution. The company is using Amazon Route 53 as the DNS service for the domain. Route 53 is configured with a simple routing policy to route traffic to the API Gateway API.
In the next 6 months, the company plans to expand operations to Europe. More than 90% of the database traffic is read-only traffic. The company has already deployed an API Gateway API and Lambda functions in the new Region.
A solutions architect must design a solution that minimizes latency for users who download reports.
Which solution will meet these requirements?
- A. Configure a cross-Region read replica for the RDS database in the new Region. Change the Route 53 record to latency-based routing to connect to the API Gateway API.
- B. Use an AWS Database Migration Service (AWS DMS) task with full load to replicate the primary database in the original Region to the database in the new Region. Change the Route 53 record to latency-based routing to connect to the API Gateway API.
- C. Configure a cross-Region read replica for the RDS database in the new Region. Change the Route 53 record to geolocation routing to connect to the API
- D. Use an AWS Database Migration Service (AWS DMS) task with full load plus change data capture (CDC) to replicate the primary database in the original Region to the database in the new Region.
Change the Route 53 record to geolocation routing to connect to the API Gateway API.
Answer: A
Explanation:
The company should configure a cross-Region read replica for the RDS database in the new Region. The company should change the Route 53 record to latency-based routing to connect to the API Gateway API. This solution will meet the requirements because a cross-Region read replica is a feature that enables you to create a MariaDB, MySQL, Oracle, PostgreSQL, or SQL Server read replica in a different Region from the source DB instance. You can use cross-Region read replicas to improve availability and disaster recovery, scale out globally, or migrate an existing database to a new Region1. By creating a cross-Region read replica for the RDS database in the new Region, the company can have a standby copy of its primary database that can serve read-only traffic from users in Europe. A latency-based routing policy is a feature that enables you to route traffic based on the latency between your users and your resources. You can use latency-based routing to route traffic to the resource that provides the best latency2. By changing the Route 53 record to latency-based routing, the company can minimize latency for users who download reports by connecting them to the API Gateway API in the Region that provides the best response time.
The other options are not correct because:
Using AWS Database Migration Service (AWS DMS) to replicate the primary database in the original Region to the database in the new Region would not be as cost-effective or simple as using a cross-Region read replica. AWS DMS is a service that enables you to migrate relational databases, data warehouses, NoSQL databases, and other types of data stores. You can use AWS DMS to perform one-time migrations or continuous data replication with high availability and consolidate databases into a petabyte-scale data warehouse3. However, AWS DMS requires more configuration and management than creating a cross-Region read replica, which is fully managed by Amazon RDS. AWS DMS also incurs additional charges for replication instances and tasks.
Creating an Amazon API Gateway Data API service integration with Amazon Redshift would not help with disaster recovery or minimizing latency. The Data API is a feature that enables you to query your Amazon Redshift cluster using HTTP requests, without needing a persistent connection or a SQL client.
It is useful for building applications that interact with Amazon Redshift, but not for replicating or recovering data from an RDS database.
Creating an AWS Data Exchange datashare by connecting AWS Data Exchange to the Redshift cluster would not help with disaster recovery or minimizing latency. AWS Data Exchange is a service that makes it easy for AWS customers to exchange data in the cloud. You can use AWS Data Exchange to subscribe to a diverse selection of third-party data products or offer your own data products to other AWS customers. A datashare is a feature that enables you to share live and secure access to your Amazon Redshift data across your accounts or with third parties without copying or moving the underlying data. It is useful for sharing query results and views with other users, but not for replicating or recovering data from an RDS database.
References:
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.RDS_Fea_Regions_DB-eng.Featur
https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/routing-policy.html#routing-policy-latency
https://aws.amazon.com/dms/
https://docs.aws.amazon.com/redshift/latest/mgmt/data-api.html
https://aws.amazon.com/data-exchange/
https://docs.aws.amazon.com/redshift/latest/dg/datashare-overview.html
NEW QUESTION # 83
A company has a data center that must be migrated to AWS as quickly as possible. The data center has a 500 Mbps AWS Direct Connect link and a separate, fully available 1 Gbps ISP connection. A Solutions Architect must transfer 20 TB of data from the data center to an Amazon S3 bucket.
What is the FASTEST way transfer the data?
- A. Upload the data to the S3 bucket using S3 Transfer Acceleration.
- B. Send the data to AWS using the AWS Import/Export service.
- C. Upload the data using an 80 TB AWS Snowball device.
- D. Upload the data to the S3 bucket using the existing DX link.
Answer: A
Explanation:
Explanation
https://aws.amazon.com/s3/faqs/
Import/Export supports importing and exporting data into and out of Amazon S3 buckets. For significant data sets, AWS Import/Export is often faster than Internet transfer and more cost effective than upgrading your connectivity.
NEW QUESTION # 84
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. 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.
- 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. Use Lambda@Edge to modify requests from North America to use the S3 Transfer Acceleration endpoint in us-east-1.
- D. Use Lambda@Edge to modify requests from North America to use the S3 bucket in us-east-1.
- E. 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.
Answer: B,D
Explanation:
Explanation
https://aws.amazon.com/about-aws/whats-new/2016/04/transfer-files-into-amazon-s3-up-to-300-percent-faster/
NEW QUESTION # 85
A company runs an loT platform on AWS loT sensors in various locations send data to the company's Node js API servers on Amazon EC2 instances running behind an Application Load Balancer The data is stored in an Amazon RDS MySQL DB instance that uses a 4 TB General Purpose SSD volume The number of sensors the company has deployed in the field has increased over time and is expected to grow significantly The API servers are consistently overloaded and RDS metrics show high write latency Which of the following steps together will resolve the issues permanently and enable growth as new sensors are provisioned, while keeping this platform cost-efficient? {Select TWO.)
- A. Use AWS X-Ray to analyze and debug application issues and add more API servers to match the load
- B. Resize the MySQL General Purpose SSD storage to 6 TB to improve the volume's IOPS
- C. Leverage Amazon Kinesis Data Streams and AWS Lambda to ingest and process the raw data
- D. Re-architect the database tier to use Amazon Aurora instead of an RDS MySQL DB instance and add read replicas
- E. Re-architect the database tier to use Amazon DynamoDB instead of an RDS MySQL DB instance
Answer: C,E
Explanation:
Explanation
Option C is correct because leveraging Amazon Kinesis Data Streams and AWS Lambda to ingest and process the raw data resolves the issues permanently and enable growth as new sensors are provisioned.
Amazon Kinesis Data Streams is a serverless streaming data service that simplifies the capture, processing, and storage of data streams at any scale. Kinesis Data Streams can handle any amount of streaming data and process data from hundreds of thousands of sources with very low latency. AWS Lambda is a serverless compute service that lets you run code without provisioning or managing servers.
Lambda can be triggered by Kinesis Data Streams events and process the data records in real time.
Lambda can also scale automatically based on the incoming data volume. By using Kinesis Data Streams and Lambda, the company can reduce the load on the API servers and improve the performance and scalability of the data ingestion and processing layer3 Option E is correct because re-architecting the database tier to use Amazon DynamoDB instead of an RDS MySQL DB instance resolves the issues permanently and enable growth as new sensors are provisioned. Amazon DynamoDB is a fully managed key-value and document database that delivers single-digit millisecond performance at any scale. DynamoDB supports auto scaling, which automatically adjusts read and write capacity based on actual traffic patterns. DynamoDB also supports on-demand capacity mode, which instantly accommodates up to double the previous peak traffic on a table. By using DynamoDB instead of RDS MySQL DB instance, the company can eliminate high write latency and improve scalability and performance of the database tier.
References: 1: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ebs-volume-types.html 2:
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/CHAP_AuroraOverview.html 3:
https://docs.aws.amazon.com/streams/latest/dev/introduction.html :
https://docs.aws.amazon.com/lambda/latest/dg/welcome.html :
https://docs.aws.amazon.com/xray/latest/devguide/aws-xray.html :
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Introduction.html :
NEW QUESTION # 86
A North American company with headquarters on the East Coast is deploying a new web application running on Amazon EC2 in the us-east-1 Region. The application should dynamically scale to meet user demand and maintain resiliency. Additionally, the application must have disaster recover capabilities in an active-passive configuration with the us-west-1 Region.
Which steps should a solutions architect take after creating a VPC in the us-east-1 Region?
- A. Deploy an Application Load Balancer (ALB) spanning multiple Availability Zones (AZs) to the VPC in the us-east-1 Region. Deploy EC2 instances across multiple AZs as part of an Auto Scaling group served by the ALB Deploy the same solution to the us-west-1 Region Create separate Amazon Route
53 records in each Region that point to the ALB in the Region. Use Route 53 health checks to provide high availability across both Regions. - B. Create a VPC in the us-west-1 Region Use inter-Region VPC peering to connect both VPCs. Deploy an Application Load Balancer (ALB) that spans both VPCs. Deploy LC2 instances across multiple Availability Zones as part of an Auto Scaling group in each VPC served by the ALB. Create an Amazon Route 53 record that points to the ALB.
- C. Create a VPC in the us-west-1 Region Use inter-Region VPC peering to connect both VPCs. Deploy an Application Load Balancer (ALB) spanning multiple Availability Zones (AZs) to the VPC in the us-east-1 Region Deploy EC2 instances across multiple AZs in each Region as part of an Auto Scaling group spanning both VPCs and served by the ALB.
- D. Deploy an Application Load Balancer (ALB) spanning multiple Availability Zones (AZs) to the VPC in the us-east-1 Region Deploy EC2 instances across multiple AZs as part of an Auto Scaling group served by the ALB. Deploy the same solution to the us-west-1 Region. Create an Amazon Route 53 record set with a failover routing policy and health checks enabled to provide high availability across both Regions.
Answer: D
NEW QUESTION # 87
The following are AWS Storage services? Choose 2.
- A. AWS Glacier
- B. AWS ElastiCache
- C. AWS Relational Database Service (AWS RDS)
- D. AWS Import/Export
Answer: A,D
NEW QUESTION # 88
A company is using AWS CloudFormation to deploy its infrastructure. The company is concerned that, if a production CloudFormation stack is deleted, important data stored in Amazon RDS databases or Amazon EBS volumes might also be deleted.
How can the company prevent users from accidentally deleting data in this way?
- A. Modify the CloudFormation templates to add a DeletionPolicy attribute to RDS and EBS resources.
- B. Use AWS Config rules to prevent deleting RDS and EBS resources.
- C. Modify IAM policies to deny deleting RDS an EBS resources that are tagged with an tag.
"aws:cloudformation:stackname" - D. Configure a stack policy that disallows the deletion of RDS and EBS resources.
Answer: B
NEW QUESTION # 89
A company has a large on-premises Apache Hadoop cluster with a 20 PB HDFS database. The cluster is growing every quarter by roughly 200 instances and 1 PB. The company's goals are to enable resiliency for its Hadoop data, limit the impact of losing cluster nodes, and significantly reduce costs. The current cluster runs
24/7 and supports a variety of analysis workloads, including interactive queries and batch processing.
Which solution would meet these requirements with the LEAST expense and down time?
- A. Use AWS Direct Connect to migrate the existing cluster data to Amazon S3. Create a persistent Amazon EMR cluster initially sized to handle the interactive workload based on historical data from the on-premises cluster. Store the data on EMRFS. Minimize costs using Reserved Instances for master and core nodes and Spot Instances for task nodes, and auto scale task nodes based on Amazon CloudWatch metrics. Create job-specific, optimized clusters for batch workloads that are similarly optimized.
- B. Use AWS Snowmobile to migrate the existing cluster data to Amazon S3. Create a persistent Amazon EMR cluster of similar size and configuration to the current cluster. Store the data on EMRFS.
Minimize costs by using Reserved Instances. As the workload grows each quarter, purchase additional Reserved Instances and add to the cluster. - C. Use AWS Snowmobile to migrate the existing cluster data to Amazon S3. Create a persistent Amazon EMR cluster initially sized to handle the interactive workload based on historical data from the on-premises cluster. Store the data on EMRFS. Minimize costs using Reserved Instances for master and core nodes and Spot Instances for task nodes, and auto scale task nodes based on Amazon CloudWatch metrics. Create job-specific, optimized clusters for batch workloads that are similarly optimized.
- D. Use AWS Snowball to migrate the existing cluster data to Amazon S3. Create a persistent Amazon EMR cluster initially sized to handle the interactive workloads based on historical data from the on-premises cluster. Store the on EMRFS. Minimize costs using Reserved Instances for master and core nodes and Spot Instances for task nodes, and auto scale task nodes based on Amazon CloudWatch metrics. Create job-specific, optimized clusters for batch workloads that are similarly optimized.
Answer: C
Explanation:
Explanation
Q: How should I choose between Snowmobile and Snowball?
To migrate large datasets of 10PB or more in a single location, you should use Snowmobile. For datasets less than 10PB or distributed in multiple locations, you should use Snowball. In addition, you should evaluate the amount of available bandwidth in your network backbone. If you have a high speed backbone with hundreds of Gb/s of spare throughput, then you can use Snowmobile to migrate the large datasets all at once. If you have limited bandwidth on your backbone, you should consider using multiple Snowballs to migrate the data incrementally.
NEW QUESTION # 90
Identify an application that polls AWS Data Pipeline for tasks and then performs those tasks.
- A. A task executor
- B. A task runner
- C. A task deployer
- D. A task optimizer
Answer: B
Explanation:
Explanation
A task runner is an application that polls AWS Data Pipeline for tasks and then performs those tasks. You can either use Task Runner as provided by AWS Data Pipeline, or create a custom Task Runner application.
Task Runner is a default implementation of a task runner that is provided by AWS Data Pipeline. When Task Runner is installed and configured, it polls AWS Data Pipeline for tasks associated with pipelines that you have activated. When a task is assigned to Task Runner, it performs that task and reports its status back to AWS Data Pipeline. If your workflow requires non-default behavior, you'll need to implement that functionality in a custom task runner.
http://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/dp-how-remote-taskrunner-client.html
NEW QUESTION # 91
A company runs a public-facing application that uses a Java-based web sen/ice via a RESTful API It is hosted on Apache Tomcat on a single server in a data center that runs consistently at 30% CPU utilization Use of the API is expected to increase by 10 times with a new product launch The business wants to migrate the application to AWS with no disruption and needs it to scale to meet demand The company has already decided to use Amazon Route 53 and CNAME records lo redirect traffic How can these requirements be met with the LEAST amount of effort?
- A. Lift and shift the Apache server to the cloud using AWS SMS Then switch the application to direct web service traffic to the new instance
- B. Create a Docker image and migrate the image to Amazon ECS Then change the application code to direct web service queries to the ECS container
- C. Modify the application to call the web service via Amazon API Gateway Then create a new AWS Lambda Java function to run the Java web service code After testing change API Gateway to use the Lambda function
- D. Use AWS Elastic Beanstalk to deploy the Java web service and enable Auto Scaling Then switch the application to use the new web service
Answer: D
NEW QUESTION # 92
A user has suspended the scaling process on the Auto Scaling group. A scaling activity to increase the instance count was already in progress. What effect will the suspension have on that activity?
- A. Stops the instance temporary
- B. Terminates the instance
- C. No effect. The scaling activity continues
- D. Pauses the instance launch and launches it only after Auto Scaling is resumed
Answer: C
Explanation:
The user may want to stop the automated scaling processes on the Auto Scaling groups either to perform manual operations or during emergency situations. To perform this, the user can suspend one or more scaling processes at any time. When this process is suspended, Auto Scaling creates no new scaling activities for that group. Scaling activities that were already in progress before the group was suspended continue until completed.
http://docs.aws.amazon.com/AutoScaling/latest/DeveloperGuide/AS_Concepts.html
NEW QUESTION # 93
A company is in the process of implementing AWS Organizations to constrain its developers to use only Amazon. EC2, and Amazon S3, and Amazon DynamoDB. The developers account resides in a dedicated organizational unit (OU). The Solution Architect has implemented the following SCP on the Developers account:
When this policy is deployed, IAM users in the Developers account are still to use AWS services that are not listed in the policy.
What should the Solution Architect do to eliminate the developers' ability to use services outside the scope of this policy?
- A. Modify the FullAWS SCP to explicitly deny all services
- B. Remove the FullAWSAcess SCP from the Developer account's OU.
- C. Create an explicit deny statement for each AWS service that should be constrained.
- D. Add an explicit deny statement using a wildcare in the end of the SCP.
Answer: D
NEW QUESTION # 94
A web company is looking to implement an intrusion detection and prevention system into their deployed VPC. This platform should have the ability to scale to thousands of instances running inside of the VPC.
How should they architect their solution to achieve these goals?
- A. Configure servers running in the VPC using the host-based "route" commands to send all traffic through the platform to a scalable virtualized IDS/IPS.
- B. Create a second VPC and route all traffic from the primary application VPC through the second VPC where the scalable virtualized IDS/IPS platform resides.
- C. Configure an instance with monitoring software and the elastic network interface (ENI) set to promiscuous mode packet sniffing to see all traffic across the VPC.
- D. Configure each host with an agent that collects all network traffic and sends that traffic to the IDS/IPS platform for inspection.
Answer: B
NEW QUESTION # 95
A company is migrating a three-tier application to AWS. The application requires a MySQL database. In the past, the application users reported poor application performance when creating new entries. These performance issues were caused by users generating different real-time reports from the application during working hours.
Which solution will improve the performance of the application when it is moved to AWS?
- A. Create the database on a compute optimized Amazon EC2 instance. Ensure compute resources exceed the on-premises database.
- B. Create an Amazon Aurora MySQL Multi-AZ DB cluster with multiple read replicas. Configure the application reader endpoint for reports.
- C. Create an Amazon Aurora MySQL Multi-AZ DB cluster. Configure the application to use the backup instance of the cluster as an endpoint for the reports.
- D. Import the data into an Amazon DynamoDB table with provisioned capacity. Refactor the application to use DynamoDB for reports.
Answer: B
Explanation:
Explanation
NEW QUESTION # 96
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The AWS-Solutions-Architect-Professional certification exam is a computer-based exam that consists of 75 multiple-choice and multiple-response questions. AWS-Solutions-Architect-Professional exam is designed to test the candidate's ability to design and deploy scalable, highly available, and fault-tolerant systems on AWS infrastructure. AWS-Solutions-Architect-Professional exam is proctored and is available in multiple languages.
Updated AWS-Solutions-Architect-Professional Dumps Questions For Amazon Exam: https://whizlabs.actual4dump.com/Amazon/AWS-Solutions-Architect-Professional-actualtests-dumps.html