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The AWS Certified Solutions Architect - Professional certification exam consists of multiple-choice and multiple-response questions, as well as scenario-based questions that require the candidate to apply their knowledge to real-world scenarios. AWS-Solutions-Architect-Professional Exam is timed and lasts for 180 minutes. Candidates must achieve a passing score of 750 out of 1000 to earn the certification.

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Amazon AWS Certified Solutions Architect - Professional Sample Questions (Q154-Q159):

NEW QUESTION # 154
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 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.
B. 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.
C. 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.
D. 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.

Answer: A

NEW QUESTION # 155
A company is using an existing orchestration tool to manage thousands of Amazon EC2 instances. A recent penetration test found a vulnerability in the company's software stack. This vulnerability has prompted the company to perform a full evaluated of its current production environment The analysts determined that the following vulnerabilities exist within the environment:
* Operating systems with outdated libraries and known vulnerabilities are being used in production
* Relational databases hosted and managed by the company are running unsupported versions with known vulnerabilities
* Data stored in databases Is not encrypted.
The solutions architect intends to use AWS Config to continuously audit and assess the compliance of the company's AWS resource configurations with the company's polices and guidelines What additional steps will enable the company to secure its environments and track resources while adhering to best practices?

A. install the AWS Systems Manager Agent on all existing instances using the company's current orchestration tool. Migrate al relational databases to Amazon RDS and enable AWS KMS encryption Use Systems Manager Patch Manager to establish a patch baseline and deploy a Systems Manager Maintenance Windows task to run AWS-RunPatchBaseline using the patch baseline.
B. Create an AWS CloudFormation template for the EC2 instances Use EC2 user data in the CloudFormation template to install the AWS Systems Manager Agent, and enable AWS KMS encryption on all Amazon EBS volumes. Have CloudFormation replace al running instances. Use Systems Manager Patch Manager to establish a patch baseline and deploy a Systems Manager Maintenance Windows task to run AWS-RunPatchBaseline using the patch baseline
C. Install the AWS Systems Manager Agent on all existing instances using the company's current orchestration tool Use the Systems Manager Run Command to run a list of commands to upgrade software on each instance using operating system-specific tools. Enable AWS KMS encryption on all Amazon EBS volumes.
D. Use AWS Application Discovery Service to evaluate at running EC2 instances Use the AWS CLI lo modify each instance, and use EC2 user data to install the AWS Systems Manager Agent during boot Schedule patching to run as a Systems Manager Maintenance Windows task. Migrate all relational databases lo Amazon RDS and enable AWS KMS encryption

Answer: A

NEW QUESTION # 156
A large company is migrating ils entire IT portfolio to AWS. Each business unit in the company has a standalone AWS account that supports both development and test environments. New accounts to support production workloads will be needed soon.
The finance department requires a centralized method for payment but must maintain visibility into each group's spending to allocate costs.
The security team requires a centralized mechanism to control 1AM usage in all the company's accounts.
What combination of the following options meet the company's needs with the LEAST effort? (Select TWO.)

A. Require each business unit to use its own AWS accounts. Tag each AWS account appropriately and enable Cost Explorer to administer chargebacks.
B. Consolidate all of the company's AWS accounts into a single AWS account. Use tags for billing purposes and the lAM's Access Advisor feature to enforce the least privilege model.
C. Use a collection of parameterized AWS CloudFormation templates defining common 1AM permissions that are launched into each account. Require all new and existing accounts to launch the appropriate stacks to enforce the least privilege model.
D. Use AWS Organizations to create a new organization from a chosen payer account and define an organizational unit hierarchy. Invite the existing accounts to join the organization and create new accounts using Organizations.
E. Enable all features of AWS Organizations and establish appropriate service control policies that filter
1AM permissions for sub-accounts.

Answer: D,E

Explanation:
Option B is correct because AWS Organizations allows a company to create a new organization from a chosen payer account and define an organizational unit hierarchy. This way, the finance department can have a centralized method for payment but also maintain visibility into each group's spending to allocate costs. The company can also invite the existing accounts to join the organization and create new accounts using Organizations, which simplifies the account management process.
Option D is correct because enabling all features of AWS Organizations and establishing appropriate service control policies (SCPs) that filter IAM permissions for sub-accounts allows the security team to have a centralized mechanism to control IAM usage in all the company's accounts. SCPs are policies that specify the maximum permissions for an organization or organizational unit (OU), and they can be used to restrict access to certain services or actions across all accounts in an organization.
Option A is incorrect because using a collection of parameterized AWS CloudFormation templates defining common IAM permissions that are launched into each account requires more effort than using SCPs. Moreover, it does not provide a centralized mechanism to control IAM usage, as each account would have to launch the appropriate stacks to enforce the least privilege model.
Option C is incorrect because requiring each business unit to use its own AWS accounts does not provide a centralized method for payment or a centralized mechanism to control IAM usage. Tagging each AWS account appropriately and enabling Cost Explorer to administer chargebacks may help with cost allocation, but it is not as efficient as using AWS Organizations.
Option E is incorrect because consolidating all of the company's AWS accounts into a single AWS account does not provide visibility into each group's spending or a way to control IAM usage for different business units. Using tags for billing purposes and the IAM's Access Advisor feature to enforce the least privilege model may help with cost optimization and security, but it is not as scalable or flexible as using AWS Organizations.
References:
AWS Organizations
Service Control Policies
AWS CloudFormation
Cost Explorer
IAM Access Advisor

NEW QUESTION # 157
A company has an internal application running on AWS that is used to track and process shipments in the company's warehouse. Currently, after the system receives an order, it emails the staff the information needed to ship a package. Once the package is shipped, the staff replies to the email and the order is marked as shipped.
The company wants to stop using email in the application and move to a serverless application model.
Which architecture solution meets these requirements?

A. Update the application to store new order information in Amazon DynamoDB. When a new order is created, trigger an AWS Step Functions workflow, mark the orders as "in progress," and print a package label to the warehouse. Once the label has been scanned and fulfilled, the application will trigger an AWS Lambda function that will mark the order as shipped and complete the workflow.
B. When a new order is created, store the order information in Amazon SQS. Have AWS Lambda check the queue every 5 minutes and process any needed work. When an order needs to be shipped, have Lambda print the label in the warehouse. Once the label has been scanned, as it leaves the warehouse, have an Amazon EC2 instance update Amazon SQS.
C. Use AWS Batch to configure the different tasks required to ship a package. Have AWS Batch trigger an AWS Lambda function that creates and prints a shipping label. Once that label is scanned, as it leaves the warehouse, have another Lambda function move the process to the next step in the AWS Batch job.
D. Store new order information in Amazon EFS. Have instances pull the new information from the NFS and send that information to printers in the warehouse. Once the label has been scanned, as it leaves the warehouse, have Amazon API Gateway call the instances to remove the order information from Amazon EFS.

Answer: C

NEW QUESTION # 158
Amazon Elastic File System (EFS) provides information about the space used for an object by using the space_used attribute of the Network File System Version 4.1 (NFSv4.1). The attribute includes the object's current metered data size and not the metadata size. Which of the following utilities will you use to measure the amount of disk that is used of a file?

A. du utility
B. sfdisk utility
C. pydf utility
D. blkid utility

Answer: A

Explanation:
Amazon EFS reports file system sizes and sizes of objects within a file system. Using the NFSv4.1 space_used attribute for measuring the space used for an object, it reports only the object's current metered data size and not the metadata size. There are two utilities available for measuring disk usage of a file, the du and stat utilities.
https://docs.aws.amazon.com/efs/latest/ug/metered-sizes.html

NEW QUESTION # 159
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