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What is the duration, language, and format of AWS Solutions Architect Professional Exam

• Number of Questions: 65
• Type of Questions: Multiple choice (MCQs), multiple answers
• Passing score: 72%

Who should take the AWS Solutions Architect Professional Exam

The AWS Accredited Solutions Architect-Professional Assessment is intended for individuals who have an architectural position in solutions and a realistic background of one or more years designing structures on AWS that are usable, cost-effective, tolerant, and scalable. AWS SOLUTIONS ARCHITECT PROFESSIONAL exam illustrates successfully how safe and functional frameworks on AWS technology can be planned and applied. Defining a solution focused on consumer needs using architectural design criteria Provided advice on execution during the project life cycle, focused on best practice for the enterprise. The AWS SOLUTIONS ARCHITECT PROFESSIONAL exam is for entry-level IT specialists and organization professionals with standard knowledge of the AWS platform. The AWS CCP certification validates the potential client's understanding of these topics and their skills; Standard building principles, key services and also their use cases, security, and protection, as well as compliance with the AWS model, paid versions, and prices. AWS SOLUTIONS ARCHITECT PROFESSIONAL exam is the appropriate starting point for AWS certification and is also an excellent resource for those interested in non-technical projects. >> Amazon AWS-Solutions-Architect-Professional Latest Exam Labs <<

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Amazon AWS Certified Solutions Architect - Professional Sample Questions (Q374-Q379):

NEW QUESTION # 374
A company is hosting a web application on AWS using a single Amazon EC2 instance that stores user- uploaded documents in an Amazon EBS volume. For better scalability and availability, the company duplicated the architecture and created a second EC2 instance and EBS volume in another Availability Zone, placing both behind an Application Load Balancer. After completing this change, users reported that each time they refreshed the website, they could see one subset of their documents or the other, but never all of the documents at the same time.
What should a solutions architect propose to ensure users see all of their documents at once?

• A. Copy the data from both EBS volumes to Amazon EFS. Modify the application to save new documents to Amazon EFS.
• B. Configure the Application Load Balancer to direct a user to the server with the documents.
• C. Configure the Application Load Balancer to send the request to both servers. Return each document from the correct server.
• D. Copy the data so both EBS volumes contain all the documents.

Answer: A Explanation:
Amazon EFS provides file storage in the AWS Cloud. With Amazon EFS, you can create a file system, mount the file system on an Amazon EC2 instance, and then read and write data to and from your file system. You can mount an Amazon EFS file system in your VPC, through the Network File System versions
4.0 and 4.1 (NFSv4) protocol. We recommend using a current generation Linux NFSv4.1 client, such as those found in the latest Amazon Linux, Redhat, and Ubuntu AMIs, in conjunction with the Amazon EFS Mount Helper. For instructions, see Using the amazon-efs-utils Tools.
For a list of Amazon EC2 Linux Amazon Machine Images (AMIs) that support this protocol, see NFS Support. For some AMIs, you'll need to install an NFS client to mount your file system on your Amazon EC2 instance. For instructions, see Installing the NFS Client.
You can access your Amazon EFS file system concurrently from multiple NFS clients, so applications that scale beyond a single connection can access a file system. Amazon EC2 instances running in multiple Availability Zones within the same AWS Region can access the file system, so that many users can access and share a common data source.
How Amazon EFS Works with Amazon EC2

Reference: https://docs.aws.amazon.com/efs/latest/ug/how-it-works.html#how-it-works-ec2
NEW QUESTION # 375
You have custom Network File System (NFS) client settings for your Amazon Elastic File System (EFS). It takes up to three seconds for an Amazon Elastic Compute Cloud (EC2) instance to see a write operation performed on a file system from another Amazon EC2 instance.
Which of the following actions should you take to solve the custom NFS settings from causing delays in the write operation?

• A. Reduce the number of active users that have files open simultaneously on the instances.
• B. Verify that the IP address of the specified mount target is valid.
• C. Run the write operation from a different user ID on the same Amazon EC2 instance.
• D. Unmount and remount the file system with the noac option to disable attribute caching.

Answer: D Explanation:
Explanation
When you set up custom NFS client settings, it takes up to three seconds for an Amazon EC2 instance to see a write operation being performed on a file system from another Amazon EC2 instance. To solve this issue, you must unmount and remount your file system with the noac option to disable attribute caching if the NFS client on the Amazon EC2 instance that is reading the data has attribute caching activated. Attribute cache can also be cleared on demand by using a programming language that is compatible with the NFS procedures. To do this, you must send an ACCESS procedure request immediately before a read request.
http://docs.aws.amazon.com/efs/latest/ug/troubleshooting.html#custom-nfs-settings-write-delays
NEW QUESTION # 376
A photo-sharing and publishing company receives 10.000 to 150,000 images daily. The company receives the images from multiple suppliers and users registered with the service. The company is moving to AWS and wants to enrich the existing metadata by-adding data using Amazon Rekongnition.
The following is an example of the additional data:
List celebrities [name of the personality] wearing [color] looking [happy, sad] near [location example Eiffel Tower in Paris] As part of the cloud migration program, the company upload existing image data to Amazon S3 and told users to upload images directly to Amazon.
What should the Solution Architecture do to support these requirements?

• A. Start an Amazon SQS queue based on S3 event notifications. Then have Amazon SQS send the metadata information to Amazon DynamoDB . An application on Amazon EC2 data from Amazon Rekongnition using the API and adds data to Dynamo and Amazon ES. Use a web front-end to provide search capabilities backed by Amazon ES.
• B. Use Amazon Kinesis to stream data based on an S3 event. Use an application running in Amazon EC2 to extract metadata from the images. Then store the data on Amazon DynamoDB and Amazon CloudSearch and create an index Use a web front-end with capabilities backed CloudSearch.
• C. Trigger AWS Lambda based on an S3 event notification lo create additional metadata using Amazon Rekognition Use Amazon RDS MySQL Multi-AZ to store the metadata information and use Lambda to create an index Use a web front-end with search capabilities backed by Lambda
• D. Trigger AWS Lambda based on an S3 event notification to create additional metadata using Amazon Rekognition Use' Amazon DynamoDB to store the metadata and Amazon ES to create an index. Use a web front-end to provide search capabilities backed by Amazon ES.

Answer: A
NEW QUESTION # 377
A company operates pipelines across North America and South America. The company assesses pipeline inspection gauges with imagery and ultrasonic sensor data to monitor the condition of its pipelines. The pipelines are in areas with intermittent or unavailable internet connectivity. The imager data at each site requires terabytes of storage each month. The company wants a solution to collect the data at each site in monthly intervals and to store the data with high durability. The imagery captured must be preprocessed and uploaded to a central location for persistent Storage.
Which actions should a solutions architect take to meet these requirements?

• A. Deploy AWS Snowball devices at local sites in a cluster configuration. Configure AWS Lambda for preprocessing. Ship the devices back to the closest AWS Region and store the data in Amazon S3 buckets
• B. Deploy AWS IoT Greengrass on eligible hardware across the sites. Configure AWS Lambda on the devices for preprocessing Upload the processed date to Amazon S3 buckets in AWS Regions closest to the sites
• C. Deploy AWS Snowball Edge devices at local sites in a cluster configuration. Configure AWS Lambda for preprocessing Ship the devices back to the closest AWS Region and store the date in Amazon S3 buckets.
• D. Deploy AWS IoT Greengrass on eligible hardware across the sites. Configure AWS Lambda on the devices for preprocessing. Ship the devices back to the closest AWS Region and store the data in Amazon S3 buckets

Answer: B
NEW QUESTION # 378
A user has created a VPC with public and private subnets using the VPC wizard. Which of the below mentioned statements is true in this scenario?

• A. VPC updates the main route table used with a public subnet, and creates a custom route table with a private subnet
• B. The user has to manually create a NAT instance
• C. The Amazon VPC will automatically create a NAT instance with the micro size only
• D. VPC updates the main route table used with the private subnet, and creates a custom route table with a public subnet

Answer: D Explanation:
A Virtual Private Cloud (VPC) is a virtual network dedicated to the user's AWS account. A user can create a subnet with VPC and launch instances inside that subnet. If the user has created a public subnet, the instances in the public subnet can receive inbound traffic directly from the internet, whereas the instances in the private subnet cannot. If these subnets are created with Wizard, AWS will create a NAT instance of a smaller or higher size, respectively. The VPC has an implied router and the VPC wizard updates the main route table used with the private subnet, creates a custom route table and associates it with the public subnet.
http://docs.aws.amazon.com/AmazonVPC/latest/UserGuide/VPC_Scenario2.html
NEW QUESTION # 379
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